YDB MCP
OfficialThis server lets you interact with a YDB database through MCP tools for querying, explaining, inspecting schema/directory, and checking status.
ydb_query: Run a SQL query against YDB.
ydb_query_with_params: Run a parameterized SQL query with JSON parameters.
ydb_explain_query: Retrieve the execution plan for a SQL query.
ydb_explain_query_with_params: Retrieve the execution plan for a parameterized SQL query.
ydb_list_directory: List the contents of a YDB directory.
ydb_describe_path: Get detailed information about a YDB path, such as a table or directory.
ydb_status: Get the current status of the YDB connection.
By default, operations run in read-only mode; writes can be explicitly enabled if configured.
Mentioned as part of the uvx tool, which is described as 'an alias for uv run tool' from astral.sh for running Python applications without explicitly installing them
Used as the primary development tool, providing commands for development tasks
Used as a deployment method for running the MCP server without explicit installation
Hosts the ydb-mcp package that can be installed via pip
Used for running tests in the development workflow
Serves as the runtime environment for the MCP server, with commands referencing Python's interpreter for executing the server
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@YDB MCPshow me the top 5 customers by total orders"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
YDB MCP
Model Context Protocol server for YDB. It allows to work with YDB databases from any LLM that supports MCP. This integration enables AI-powered database operations and natural language interactions with your YDB instances.
Usage
Via uvx
uvx, which is an allias for uv run tool, allows you to run various python applications without explicitly installing them. Below are examples of how to configure YDB MCP using uvx.
Example: Using Anonymous Authentication
{
"mcpServers": {
"ydb": {
"command": "uvx",
"args": [
"ydb-mcp",
"--ydb-endpoint", "grpc://localhost:2136",
"--ydb-database", "/local"
]
}
}
}Via pipx
pipx allows you to run various applications from PyPI without explicitly installing each one. However, it must be installed first. Below are examples of how to configure YDB MCP using pipx.
Example: Using Anonymous Authentication
{
"mcpServers": {
"ydb": {
"command": "pipx",
"args": [
"run", "ydb-mcp",
"--ydb-endpoint", "grpc://localhost:2136",
"--ydb-database", "/local"
]
}
}
}Via pip
YDB MCP can be installed using pip, Python's package installer. The package is available on PyPI and includes all necessary dependencies.
pip install ydb-mcpTo get started with YDB MCP, you'll need to configure your MCP client to communicate with the YDB instance. Below are example configuration files that you can customize according to your setup and then put into MCP client's settings. Path to the Python interpreter might also need to be adjusted to the correct virtual environment that has the ydb-mcp package installed.
Example: Using Anonymous Authentication
{
"mcpServers": {
"ydb": {
"command": "python3",
"args": [
"-m", "ydb_mcp",
"--ydb-endpoint", "grpc://localhost:2136",
"--ydb-database", "/local"
]
}
}
}Authentication
Regardless of the usage method (uvx, pipx or pip), you can configure authentication for your YDB installation. To do this, pass special command line arguments.
Using Login/Password Authentication
To use login/password authentication, specify the --ydb-auth-mode, --ydb-login, and --ydb-password arguments:
{
"mcpServers": {
"ydb": {
"command": "uvx",
"args": [
"ydb-mcp",
"--ydb-endpoint", "grpc://localhost:2136",
"--ydb-database", "/local",
"--ydb-auth-mode", "login-password",
"--ydb-login", "<your-username>",
"--ydb-password", "<your-password>"
]
}
}
}Using Access Token Authentication
To use access token authentication, specify the --ydb-auth-mode and --ydb-access-token arguments:
{
"mcpServers": {
"ydb": {
"command": "uvx",
"args": [
"ydb-mcp",
"--ydb-endpoint", "grpc://localhost:2136",
"--ydb-database", "/local",
"--ydb-auth-mode", "access-token",
"--ydb-access-token", "qwerty123"
]
}
}
}Using Service Account Authentication
Service account authentication requires the yandexcloud package, which is not installed by default. Make sure it is available in the environment that runs YDB MCP:
uvx: add it on the fly with
--with yandexcloud(passed beforeydb-mcp).pipx: install YDB MCP with the extra package using
pipx install ydb-mcpfollowed bypipx inject ydb-mcp yandexcloud.pip: install it alongside YDB MCP with
pip install ydb-mcp yandexcloud.
To use service account authentication, specify the --ydb-auth-mode and --ydb-sa-key-file arguments:
{
"mcpServers": {
"ydb": {
"command": "uvx",
"args": [
"--with", "yandexcloud",
"ydb-mcp",
"--ydb-endpoint", "grpc://localhost:2136",
"--ydb-database", "/local",
"--ydb-auth-mode", "service-account",
"--ydb-sa-key-file", "~/sa_key.json"
]
}
}
}TLS Connections
Use a grpcs:// endpoint to connect over TLS. If the cluster certificate is issued by a private CA, pass a path to the PEM file with its root certificates via --ydb-root-certificates; otherwise the system trust store is used:
{
"mcpServers": {
"ydb": {
"command": "uvx",
"args": [
"ydb-mcp",
"--ydb-endpoint", "grpcs://localhost:2135",
"--ydb-database", "/local",
"--ydb-root-certificates", "~/ydb_ca.pem"
]
}
}
}Write Queries
The server runs queries in read-only mode by default. Read-only queries use native YDB snapshot read-only transactions,
so data and schema writes are rejected by YDB itself without relying on SQL text matching. The mode applies to both
built-in query tools and custom tools that call YDBMCPServer.execute().
To explicitly allow write queries, set --ydb-allow-write:
{
"mcpServers": {
"ydb": {
"command": "uvx",
"args": [
"ydb-mcp",
"--ydb-endpoint", "grpc://localhost:2136",
"--ydb-database", "/local",
"--ydb-allow-write"
]
}
}
}The same setting can be provided through YDB_ALLOW_WRITE=true. Enable it only when writes are intended, and
prefer read-only YDB credentials as an additional permission boundary whenever the server does not need to modify data.
Related MCP server: GreptimeDB MCP Server
Available Tools
YDB MCP provides the following tools for interacting with YDB databases:
ydb_query: Run a SQL query against a YDB databaseParameters:
sql: SQL query string to execute
ydb_query_with_params: Run a parameterized SQL query with JSON parametersParameters:
sql: SQL query string with parameter placeholdersparams: JSON string containing parameter values
ydb_explain_query: Explain a SQL query (returns the execution plan)Parameters:
sql: SQL query string to explain
ydb_explain_query_with_params: Explain a parameterized SQL queryParameters:
sql: SQL query string with parameter placeholdersparams: JSON string containing parameter values
ydb_list_directory: List directory contents in YDBParameters:
path: YDB directory path to list
ydb_describe_path: Get detailed information about a YDB path (table, directory, etc.)Parameters:
path: YDB path to describe
ydb_status: Get the current status of the YDB connection
Building Custom MCP Servers
YDBMCPServer is designed to be subclassed. You can add your own tools on top of an established YDB connection and, optionally, disable the built-in generic tools to expose only the queries your application needs.
Why build a custom server?
Security — restrict the LLM to a fixed set of read-only queries instead of exposing arbitrary SQL execution.
Domain specificity — give the model tools that match your business logic rather than raw database primitives.
Simplicity — fewer tools means less ambiguity for the model.
Available methods
Override or call these in your subclass:
Method | Description |
| Run a SQL query. Returns |
| Return the query execution plan as a |
| List a YDB directory. Returns |
| Describe a YDB path (table schema, directory, etc.). Returns a |
The params argument is a plain dict. Keys without a $ prefix get it added automatically. To specify an explicit YDB type, use a (value, "TypeName") tuple — e.g. {"id": (42, "Int64")}.
Controlling generic tools
Use the generic_tools class attribute to control which built-in tools are registered:
Value | Effect |
| All built-in tools (default) |
| No built-in tools — only your own |
| Only the listed tools |
YDBGenericTool is a string enum — available values: QUERY, QUERY_WITH_PARAMS, EXPLAIN, EXPLAIN_WITH_PARAMS, STATUS, LIST_DIRECTORY, DESCRIBE_PATH.
Example
# my_server.py
from ydb_mcp import YDBMCPServer, YDBGenericTool, serialize_ydb_response
class OrdersServer(YDBMCPServer):
"""Minimal read-only MCP server for the orders service."""
generic_tools = {YDBGenericTool.STATUS} # keep status check for diagnostics
def __init__(self, **kwargs):
super().__init__(**kwargs)
@self.tool()
async def get_order(order_id: str) -> str:
"""Fetch a single order by ID."""
rows = await self.execute(
"SELECT * FROM orders WHERE id = $id",
{"id": order_id},
)
return serialize_ydb_response(rows)
@self.tool()
async def list_recent_orders(limit: int = 10) -> str:
"""Return the most recent orders."""
rows = await self.execute(
"SELECT * FROM orders ORDER BY created_at DESC LIMIT $limit",
{"limit": limit},
)
return serialize_ydb_response(rows)
if __name__ == "__main__":
OrdersServer(
endpoint="grpc://localhost:2136",
database="/local",
).run()Run it directly:
python my_server.pyOr wire it up as an MCP server in your client config:
{
"mcpServers": {
"orders": {
"command": "python",
"args": ["my_server.py"]
}
}
}Development
The project uses Make as its primary development tool, providing a consistent interface for common development tasks.
Available Make Commands
The project includes a comprehensive Makefile with various commands for development tasks. Each command is designed to streamline the development workflow and ensure code quality:
make all: Run clean, lint, and test in sequence (default target)make clean: Remove all build artifacts and temporary filesmake test: Run all tests using pytestCan be configured with environment variables:
LOG_LEVEL(default: WARNING) - Control test output verbosity (DEBUG, INFO, WARNING, ERROR)
make unit-tests: Run only unit tests with verbose outputCan be configured with environment variables:
LOG_LEVEL(default: WARNING) - Control test output verbosity (DEBUG, INFO, WARNING, ERROR)
make integration-tests: Run only integration tests with verbose outputCan be configured with environment variables:
YDB_ENDPOINT(default: grpc://localhost:2136)YDB_DATABASE(default: /local)MCP_HOST(default: 127.0.0.1)MCP_PORT(default: 8989)LOG_LEVEL(default: WARNING) - Control test output verbosity (DEBUG, INFO, WARNING, ERROR)
make run-server: Start the YDB MCP serverCan be configured with environment variables:
YDB_ENDPOINT(default: grpc://localhost:2136)YDB_DATABASE(default: /local)
Additional arguments can be passed using
ARGS="your args"
make lint: Run all linting checks (flake8, mypy, black, isort)make format: Format code using black and isortmake install: Install the package in development modemake dev: Install the package in development mode with all development dependencies
Test Verbosity Control
By default, tests run with minimal output (WARNING level) to keep the output clean. You can control the verbosity of test output using the LOG_LEVEL environment variable:
# Run all tests with debug output
make test LOG_LEVEL=DEBUG
# Run integration tests with info output
make integration-tests LOG_LEVEL=INFO
# Run unit tests with warning output (default)
make unit-tests LOG_LEVEL=WARNINGAvailable log levels:
DEBUG: Show all debug messages, useful for detailed test flowINFO: Show informational messages and aboveWARNING: Show only warnings and errors (default)ERROR: Show only error messages
Available Tools
7 toolsydb_describe_pathC
Get detailed information about a YDB path
| Name | Required | Description | Default |
|---|---|---|---|
| path | Yes |
Output Schema
| Name | Required | Description |
|---|---|---|
| result | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries full burden for behavioral disclosure. It only states a read operation but does not describe error behavior (e.g., path not found), rate limits, or authentication requirements. Minimal transparency.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single sentence, which is concise but under-informative. It lacks crucial details that could be added without significant length.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool has low complexity with one required parameter and an output schema, yet the description fails to explain what information is returned or any preconditions. It is incomplete for effective agent use.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 0% and the description adds no meaning to the 'path' parameter. It does not specify format, constraints, or examples. The parameter remains completely undocumented.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the verb 'Get' and the resource 'detailed information about a YDB path', distinguishing it from sibling tools like 'ydb_list_directory' (lists directory contents) and 'ydb_explain_query' (explains queries). However, it lacks specificity about what 'detailed information' includes.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No explicit guidance on when to use this tool versus alternatives. The description does not mention exclusions, prerequisites, or context. Usage is only implied by the tool's purpose.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
ydb_explain_queryC
Explain a SQL query against YDB
| Name | Required | Description | Default |
|---|---|---|---|
| sql | Yes |
Output Schema
| Name | Required | Description |
|---|---|---|
| result | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries full burden. It does not disclose whether the query is executed or just planned, required permissions, or side effects. Basic behavioral traits like read-only nature are omitted.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is very concise (one sentence, five words). While efficient, it lacks necessary details. It is not verbose, but the conciseness comes at the cost of clarity. It barely meets the minimum threshold.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given no annotations and low parameter coverage, the description is incomplete. It explains the basic purpose but omits key context such as the output format (though an output schema exists), prerequisites, or behavior. The agent may not be able to invoke correctly without additional information.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema has 0% description coverage for the 'sql' parameter. The description adds no extra meaning beyond the parameter type. It does not specify syntax, constraints, or examples, failing to compensate for the lack of schema documentation.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Description clearly states the tool explains a SQL query against YDB. However, it does not differentiate from the sibling tool 'ydb_explain_query_with_params', which also explains queries but with parameters. The description should specify that this tool is for queries without parameters to avoid confusion.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus the alternatives. There is no mention of when not to use it, such as for parameterized queries where 'ydb_explain_query_with_params' is more appropriate. The agent is left to infer usage context.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
ydb_explain_query_with_paramsC
Explain a parameterized SQL query against YDB
| Name | Required | Description | Default |
|---|---|---|---|
| sql | Yes | ||
| params | Yes |
Output Schema
| Name | Required | Description |
|---|---|---|
| result | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must carry the full burden. It states 'Explain', implying a read-only operation, but does not disclose any behavioral traits such as side effects, permissions, rate limits, or output format beyond what is in the schema.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single sentence with no extraneous words. However, it is too brief and could include more essential information without being verbose. It is concise but at the expense of completeness.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the absence of annotations and only 2 parameters, the description is insufficiently complete. It does not mention that both parameters are required, or provide context on how to supply parameters. An output schema exists but is not referenced.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema has 0% description coverage. The description does not explain the format or meaning of the 'params' parameter, which accepts a string or object. This lack of semantic guidance increases ambiguity for the AI agent.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Description uses verb 'Explain' and specifies resource 'parameterized SQL query against YDB', which clearly indicates the tool's action and target. However, it does not differentiate from sibling tool 'ydb_explain_query' which likely does the same without parameters.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance on when to use this tool vs ydb_explain_query or other siblings. The description implies it is for queries with parameters but does not explicitly state when it should be preferred.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
ydb_list_directoryC
List directory contents in YDB
| Name | Required | Description | Default |
|---|---|---|---|
| path | Yes |
Output Schema
| Name | Required | Description |
|---|---|---|
| result | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are present, so the description bears full responsibility for behavioral disclosure. It only states the function without mentioning side effects, read-only nature, error handling, or recursion behavior.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is overly brief at 4 words, lacking structure and essential details. It does not earn its place as it adds no value beyond the tool name.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the simple single-parameter schema and presence of an output schema, the description omits critical context such as return types, pagination, or behavior for nonexistent paths, making it insufficient for correct agent invocation.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, and the description does not explain the format or semantics of the 'path' parameter (e.g., full vs relative path, supported patterns).
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the verb 'List' and resource 'directory contents', but does not differentiate from sibling tools like ydb_describe_path, which might also list path details.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives like ydb_describe_path or ydb_query. There is no context for typical use cases or exclusions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
ydb_queryB
Run a read-only SQL query against YDB database
| Name | Required | Description | Default |
|---|---|---|---|
| sql | Yes |
Output Schema
| Name | Required | Description |
|---|---|---|
| result | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description discloses that the operation is 'read-only', which is a useful safety-related behavioral trait, especially since no annotations are provided. However, it does not mention return behavior, error cases, or limitations, so the description only partially carries the behavioral transparency burden.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single focused sentence with no filler. It front-loads the action and resource, and every word contributes to meaning.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool is simple, has an output schema to cover return values, and one obvious parameter, so the description is nearly adequate. However, it lacks any usage guidance relative to the sibling tools, leaving an important gap for correct tool selection.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, and the description does not explain the 'sql' parameter beyond implying it contains the query text. With only one required parameter, the gap is small, but the description still fails to explicitly document what the parameter should contain.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description names a specific verb ('Run') and resource ('SQL query against YDB database'), clearly stating the tool's core purpose. However, it does not explicitly distinguish this from the sibling ydb_query_with_params, so sibling differentiation is absent.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is given about when to use this tool instead of ydb_query_with_params, ydb_explain_query, or the other siblings. The description simply states what it does, leaving the agent to infer selection criteria from the tool name alone.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
ydb_query_with_paramsC
Run a read-only parameterized SQL query with JSON parameters
| Name | Required | Description | Default |
|---|---|---|---|
| sql | Yes | ||
| params | Yes |
Output Schema
| Name | Required | Description |
|---|---|---|
| result | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the behavioral burden. It clearly discloses the read-only nature of the operation, which is the most critical behavioral trait. However, it does not mention execution semantics, authentication, or error behavior, though the output schema covers result shape.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, front-loaded sentence with no filler. It is appropriately compact for the tool's simplicity, though it is terse enough that some semantic gaps remain.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the lack of annotations, minimal parameter documentation, and presence of close sibling tools, the description is not complete enough for reliable selection and invocation. An agent would need to inspect other tools or examples to know when to choose this one and how to construct valid parameters.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, so the description must compensate. It conveys that parameters are passed as JSON, which slightly clarifies the schema's anyOf string/object type, but it does not explain what 'sql' contains, how params map to query placeholders, or how JSON strings versus objects are handled.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description states a clear action ('Run'), a specific resource ('read-only parameterized SQL query'), and the input format ('JSON parameters'). It mostly distinguishes itself from siblings like ydb_explain_query_with_params by indicating execution rather than explanation, though it doesn't explicitly name the non-parameterized alternative.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is given about when to use this tool versus sibling tools such as ydb_query, ydb_explain_query, or ydb_explain_query_with_params. The agent is left to infer selection criteria from the name and one-line description.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
ydb_statusA
Get the current YDB connection status
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Output Schema
| Name | Required | Description |
|---|---|---|
| result | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries full burden but only states a read operation. It does not disclose whether the operation is safe, fast, or what happens on failure, but for a simple status check this minimal disclosure is adequate.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
A single sentence that is front-loaded and contains no unnecessary words, ideal for a simple status-check tool.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool is simple with no parameters and an output schema exists. The description covers the basic purpose but could be enhanced by clarifying what 'connection status' encompasses. Still, it is minimally complete.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
No parameters exist and schema coverage is 100%, so the baseline of 3 applies. No additional parameter semantics are needed.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description uses a specific verb 'Get' and identifies the resource 'current YDB connection status', clearly distinguishing it from sibling tools that deal with path description, query execution, and directory listing.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives. The context of checking connectivity is implied but not explicitly stated.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
7 tool updates
v0.1.4- Changed
ydb_describe_path2 fields changed- changed
Input schema / titlePrevious value: -"describe_pathArguments"New value: +"ydb_describe_pathArguments" - changed
Output schema / (root)Previous value: -nullNew value: +{ + "$defs": { + "Annotations": { + "additionalProperties": true, + "properties": { + "audience": { + "anyOf": [ + { + "items": { + "enum": [ + "user", + "assistant" + ], + "type": "string" + }, + "type": "array" + }, + { + "type": "null" + } + ], + "default": null, + "title": "Audience" + }, + "priority": { + "anyOf": [ + { + "maximum": 1, + "minimum": 0, + "type": "number" + }, + { + "type": "null" + } + ], + "default": null, + "title": "Priority" + } + }, + "title": "Annotations", + "type": "object" + }, + "TextContent": { + "additionalProperties": true, + "description": "Text content for a message.", + "properties": { + "_meta": { + "anyOf": [ + { + "additionalProperties": true, + "type": "object" + }, + { + "type": "null" + } + ], + "default": null, + "title": "Meta" + }, + "annotations": { + "anyOf": [ + { + "$ref": "#/$defs/Annotations" + }, + { + "type": "null" + } + ], + "default": null + }, + "text": { + "title": "Text", + "type": "string" + }, + "type": { + "const": "text", + "title": "Type", + "type": "string" + } + }, + "required": [ + "type", + "text" + ], + "title": "TextContent", + "type": "object" + } + }, + "properties": { + "result": { + "items": { + "$ref": "#/$defs/TextContent" + }, + "title": "Result", + "type": "array" + } + }, + "required": [ + "result" + ], + "title": "ydb_describe_pathOutput", + "type": "object" +}
- Changed
ydb_explain_query3 fields changed- removed
Input schema / properties / paramsRemoved value: -{ - "anyOf": [ - { - "additionalProperties": true, - "type": "object" - }, - { - "type": "null" - } - ], - "default": null, - "title": "Params" -} - changed
Input schema / titlePrevious value: -"explain_queryArguments"New value: +"ydb_explain_queryArguments" - changed
Output schema / (root)Previous value: -nullNew value: +{ + "$defs": { + "Annotations": { + "additionalProperties": true, + "properties": { + "audience": { + "anyOf": [ + { + "items": { + "enum": [ + "user", + "assistant" + ], + "type": "string" + }, + "type": "array" + }, + { + "type": "null" + } + ], + "default": null, + "title": "Audience" + }, + "priority": { + "anyOf": [ + { + "maximum": 1, + "minimum": 0, + "type": "number" + }, + { + "type": "null" + } + ], + "default": null, + "title": "Priority" + } + }, + "title": "Annotations", + "type": "object" + }, + "TextContent": { + "additionalProperties": true, + "description": "Text content for a message.", + "properties": { + "_meta": { + "anyOf": [ + { + "additionalProperties": true, + "type": "object" + }, + { + "type": "null" + } + ], + "default": null, + "title": "Meta" + }, + "annotations": { + "anyOf": [ + { + "$ref": "#/$defs/Annotations" + }, + { + "type": "null" + } + ], + "default": null + }, + "text": { + "title": "Text", + "type": "string" + }, + "type": { + "const": "text", + "title": "Type", + "type": "string" + } + }, + "required": [ + "type", + "text" + ], + "title": "TextContent", + "type": "object" + } + }, + "properties": { + "result": { + "items": { + "$ref": "#/$defs/TextContent" + }, + "title": "Result", + "type": "array" + } + }, + "required": [ + "result" + ], + "title": "ydb_explain_queryOutput", + "type": "object" +}
- Changed
ydb_explain_query_with_params4 fields changed- added
Input schema / properties / params / anyOfAdded value: +[ + { + "type": "string" + }, + { + "additionalProperties": true, + "type": "object" + } +] - removed
Input schema / properties / params / typeRemoved value: -"string" - changed
Input schema / titlePrevious value: -"explain_query_with_paramsArguments"New value: +"ydb_explain_query_with_paramsArguments" - changed
Output schema / (root)Previous value: -nullNew value: +{ + "$defs": { + "Annotations": { + "additionalProperties": true, + "properties": { + "audience": { + "anyOf": [ + { + "items": { + "enum": [ + "user", + "assistant" + ], + "type": "string" + }, + "type": "array" + }, + { + "type": "null" + } + ], + "default": null, + "title": "Audience" + }, + "priority": { + "anyOf": [ + { + "maximum": 1, + "minimum": 0, + "type": "number" + }, + { + "type": "null" + } + ], + "default": null, + "title": "Priority" + } + }, + "title": "Annotations", + "type": "object" + }, + "TextContent": { + "additionalProperties": true, + "description": "Text content for a message.", + "properties": { + "_meta": { + "anyOf": [ + { + "additionalProperties": true, + "type": "object" + }, + { + "type": "null" + } + ], + "default": null, + "title": "Meta" + }, + "annotations": { + "anyOf": [ + { + "$ref": "#/$defs/Annotations" + }, + { + "type": "null" + } + ], + "default": null + }, + "text": { + "title": "Text", + "type": "string" + }, + "type": { + "const": "text", + "title": "Type", + "type": "string" + } + }, + "required": [ + "type", + "text" + ], + "title": "TextContent", + "type": "object" + } + }, + "properties": { + "result": { + "items": { + "$ref": "#/$defs/TextContent" + }, + "title": "Result", + "type": "array" + } + }, + "required": [ + "result" + ], + "title": "ydb_explain_query_with_paramsOutput", + "type": "object" +}
- Changed
ydb_list_directory2 fields changed- changed
Input schema / titlePrevious value: -"list_directoryArguments"New value: +"ydb_list_directoryArguments" - changed
Output schema / (root)Previous value: -nullNew value: +{ + "$defs": { + "Annotations": { + "additionalProperties": true, + "properties": { + "audience": { + "anyOf": [ + { + "items": { + "enum": [ + "user", + "assistant" + ], + "type": "string" + }, + "type": "array" + }, + { + "type": "null" + } + ], + "default": null, + "title": "Audience" + }, + "priority": { + "anyOf": [ + { + "maximum": 1, + "minimum": 0, + "type": "number" + }, + { + "type": "null" + } + ], + "default": null, + "title": "Priority" + } + }, + "title": "Annotations", + "type": "object" + }, + "TextContent": { + "additionalProperties": true, + "description": "Text content for a message.", + "properties": { + "_meta": { + "anyOf": [ + { + "additionalProperties": true, + "type": "object" + }, + { + "type": "null" + } + ], + "default": null, + "title": "Meta" + }, + "annotations": { + "anyOf": [ + { + "$ref": "#/$defs/Annotations" + }, + { + "type": "null" + } + ], + "default": null + }, + "text": { + "title": "Text", + "type": "string" + }, + "type": { + "const": "text", + "title": "Type", + "type": "string" + } + }, + "required": [ + "type", + "text" + ], + "title": "TextContent", + "type": "object" + } + }, + "properties": { + "result": { + "items": { + "$ref": "#/$defs/TextContent" + }, + "title": "Result", + "type": "array" + } + }, + "required": [ + "result" + ], + "title": "ydb_list_directoryOutput", + "type": "object" +}
- Changed
ydb_query3 fields changed- removed
Input schema / properties / paramsRemoved value: -{ - "anyOf": [ - { - "additionalProperties": true, - "type": "object" - }, - { - "type": "null" - } - ], - "default": null, - "title": "Params" -} - changed
Input schema / titlePrevious value: -"queryArguments"New value: +"ydb_queryArguments" - changed
Output schema / (root)Previous value: -nullNew value: +{ + "$defs": { + "Annotations": { + "additionalProperties": true, + "properties": { + "audience": { + "anyOf": [ + { + "items": { + "enum": [ + "user", + "assistant" + ], + "type": "string" + }, + "type": "array" + }, + { + "type": "null" + } + ], + "default": null, + "title": "Audience" + }, + "priority": { + "anyOf": [ + { + "maximum": 1, + "minimum": 0, + "type": "number" + }, + { + "type": "null" + } + ], + "default": null, + "title": "Priority" + } + }, + "title": "Annotations", + "type": "object" + }, + "TextContent": { + "additionalProperties": true, + "description": "Text content for a message.", + "properties": { + "_meta": { + "anyOf": [ + { + "additionalProperties": true, + "type": "object" + }, + { + "type": "null" + } + ], + "default": null, + "title": "Meta" + }, + "annotations": { + "anyOf": [ + { + "$ref": "#/$defs/Annotations" + }, + { + "type": "null" + } + ], + "default": null + }, + "text": { + "title": "Text", + "type": "string" + }, + "type": { + "const": "text", + "title": "Type", + "type": "string" + } + }, + "required": [ + "type", + "text" + ], + "title": "TextContent", + "type": "object" + } + }, + "properties": { + "result": { + "items": { + "$ref": "#/$defs/TextContent" + }, + "title": "Result", + "type": "array" + } + }, + "required": [ + "result" + ], + "title": "ydb_queryOutput", + "type": "object" +}
- Changed
ydb_query_with_params4 fields changed- added
Input schema / properties / params / anyOfAdded value: +[ + { + "type": "string" + }, + { + "additionalProperties": true, + "type": "object" + } +] - removed
Input schema / properties / params / typeRemoved value: -"string" - changed
Input schema / titlePrevious value: -"query_with_paramsArguments"New value: +"ydb_query_with_paramsArguments" - changed
Output schema / (root)Previous value: -nullNew value: +{ + "$defs": { + "Annotations": { + "additionalProperties": true, + "properties": { + "audience": { + "anyOf": [ + { + "items": { + "enum": [ + "user", + "assistant" + ], + "type": "string" + }, + "type": "array" + }, + { + "type": "null" + } + ], + "default": null, + "title": "Audience" + }, + "priority": { + "anyOf": [ + { + "maximum": 1, + "minimum": 0, + "type": "number" + }, + { + "type": "null" + } + ], + "default": null, + "title": "Priority" + } + }, + "title": "Annotations", + "type": "object" + }, + "TextContent": { + "additionalProperties": true, + "description": "Text content for a message.", + "properties": { + "_meta": { + "anyOf": [ + { + "additionalProperties": true, + "type": "object" + }, + { + "type": "null" + } + ], + "default": null, + "title": "Meta" + }, + "annotations": { + "anyOf": [ + { + "$ref": "#/$defs/Annotations" + }, + { + "type": "null" + } + ], + "default": null + }, + "text": { + "title": "Text", + "type": "string" + }, + "type": { + "const": "text", + "title": "Type", + "type": "string" + } + }, + "required": [ + "type", + "text" + ], + "title": "TextContent", + "type": "object" + } + }, + "properties": { + "result": { + "items": { + "$ref": "#/$defs/TextContent" + }, + "title": "Result", + "type": "array" + } + }, + "required": [ + "result" + ], + "title": "ydb_query_with_paramsOutput", + "type": "object" +}
- Changed
ydb_status2 fields changed- changed
Input schema / titlePrevious value: -"get_connection_statusArguments"New value: +"ydb_statusArguments" - changed
Output schema / (root)Previous value: -nullNew value: +{ + "$defs": { + "Annotations": { + "additionalProperties": true, + "properties": { + "audience": { + "anyOf": [ + { + "items": { + "enum": [ + "user", + "assistant" + ], + "type": "string" + }, + "type": "array" + }, + { + "type": "null" + } + ], + "default": null, + "title": "Audience" + }, + "priority": { + "anyOf": [ + { + "maximum": 1, + "minimum": 0, + "type": "number" + }, + { + "type": "null" + } + ], + "default": null, + "title": "Priority" + } + }, + "title": "Annotations", + "type": "object" + }, + "TextContent": { + "additionalProperties": true, + "description": "Text content for a message.", + "properties": { + "_meta": { + "anyOf": [ + { + "additionalProperties": true, + "type": "object" + }, + { + "type": "null" + } + ], + "default": null, + "title": "Meta" + }, + "annotations": { + "anyOf": [ + { + "$ref": "#/$defs/Annotations" + }, + { + "type": "null" + } + ], + "default": null + }, + "text": { + "title": "Text", + "type": "string" + }, + "type": { + "const": "text", + "title": "Type", + "type": "string" + } + }, + "required": [ + "type", + "text" + ], + "title": "TextContent", + "type": "object" + } + }, + "properties": { + "result": { + "items": { + "$ref": "#/$defs/TextContent" + }, + "title": "Result", + "type": "array" + } + }, + "required": [ + "result" + ], + "title": "ydb_statusOutput", + "type": "object" +}
2 tool updates
v1.0.0- Added
ydb_explain_query - Added
ydb_explain_query_with_params
5 tool updates
- First observed
ydb_describe_path - First observed
ydb_list_directory - First observed
ydb_query - First observed
ydb_query_with_params - First observed
ydb_status
TDQS
Scored across 7 tools
Each tool targets a clearly distinct purpose: executing vs explaining queries, with vs without parameters, and separate tools for status, directory listing, and path details. No two tools are ambiguous or likely to be confused during selection.
All tools share the ydb_ prefix, and most follow a verb_noun pattern (list_directory, describe_path) with a consistent with_params modifier. Minor deviations like the noun-only ydb_status and ydb_query are still predictable and do not hinder readability.
Seven tools is well-scoped for a database server focused on read-only operations, covering queries, explanations, status, and structural navigation without overflow or sparse coverage.
The server's read-only scope is fully covered: plain and parameterized queries, explain plans for both, connection status, and directory/path inspection. No obvious missing operations are needed for the intended use case.
Maintenance
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