mcp-records-demo
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., "@mcp-records-demolist all records"
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.
mcp-records-demo
A small, generic Model Context Protocol (MCP) server that shows the patterns a real
"build me an MCP integration for my business tool" job asks for — with no client IP in it.
It's a portfolio/demo artifact: swap the in-memory RecordStore for a real API client and
it becomes a production integration.
What it demonstrates
Typed tools, read + write —
list_records,get_record,create_record,update_record,review_record, each with a JSON-Schema input.Write safeguards — write tools are disabled unless
MCP_ALLOW_WRITES=true(least-privilege by default).Structured error handling — validation and not-found errors are returned as structured tool errors; the server never crashes or leaks internals.
Deterministic review —
review_recordruns repeatable, code-driven checks and returns structured findings (not free-form prose).Clean separation — all domain logic lives in
src/store.js(dependency-free, fully unit-tested), so it's testable without the transport.
Related MCP server: MCP API Tool Demo
Run it
npm install
npm test # 8 zero-dependency unit tests on the core logic
npm run example # end-to-end: spawns the server and exercises the tools over stdio
MCP_ALLOW_WRITES=true npm start # run the server on stdioUse it from Claude Desktop / Claude Code
Add to your MCP client config (e.g. Claude Desktop claude_desktop_config.json):
{
"mcpServers": {
"records-demo": {
"command": "node",
"args": ["/absolute/path/to/mcp-demo/src/server.js"],
"env": { "MCP_ALLOW_WRITES": "true" }
}
}
}Then ask Claude to "list records", "create a record named Widget for 42", or "review record rec_1".
Turning this into a real integration
Replace RecordStore with a client for the target API (REST/GraphQL), map each business action
to a tool, keep the env-gated write safeguard, and add auth via environment secrets (never in code).
The tool surface, validation, error mapping, and tests stay exactly as they are here.
Author: Shane · built with Claude Code · MIT.
Available Tools
5 toolscreate_recordC
Create a record. Requires MCP_ALLOW_WRITES=true.
| Name | Required | Description | Default |
|---|---|---|---|
| name | Yes | ||
| amount | Yes | ||
| status | No |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations exist, so the description must cover behavioral traits. It only discloses the write permission requirement, omitting other behaviors such as idempotency, side effects, or error conditions.
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 wasted words, but it is overly minimal. It earns its place by including the auth requirement, but the brevity sacrifices 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 tool has 3 parameters and no output schema or annotations, the description is severely lacking. It does not explain the purpose of parameters, return values, or typical usage context.
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?
Despite 0% schema description coverage, the description adds no meaning to any of the three parameters (name, amount, status). The information is limited to what is already in the schema.
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 'Create a record,' which is a clear verb+resource but lacks specificity about the record type or domain. It does not distinguish itself from sibling tools like update_record or review_record.
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?
The description mentions a requirement (MCP_ALLOW_WRITES=true) but provides no guidance on when to use this tool versus its alternatives. No context about prerequisites or scenarios is given.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
get_recordB
Get a single record by id.
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries full burden. It implies a read-only operation but does not disclose error behavior, return format, or any side effects. Adequate for a simple get but lacks depth.
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, efficient sentence that states the core functionality. No wasted words, and it is appropriately front-loaded with the key information.
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?
For a simple retrieval tool with no output schema, the description is minimally adequate but could mention return value or error cases. Given low complexity, it meets a basic standard.
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 description must compensate. It mentions 'by id' but adds no detail about the id format, required constraints, or what values are valid. The parameter remains opaque.
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', the resource 'a single record', and the method 'by id'. This distinguishes it from sibling tools like list_records (gets multiple) and create_record (creates).
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?
The description provides no guidance on when to use this tool versus alternatives like review_record or list_records. No exclusions or context cues are given.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
list_recordsC
List all records.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries full burden for behavioral traits. 'List all records' is vague—does it support pagination? Are there limits? No information about side effects, authentication, or performance.
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?
Extremely concise single sentence, front-loaded with the key action and resource. Every word earns its place with no redundancy.
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 output schema and no annotations, the description lacks detail about return format, pagination, or filtering. For a list operation, 'all records' is insufficient without limits or ordering.
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%. The description does not need to add parameter details. Baseline 4 for zero-parameter tools is appropriate.
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 'List all records' clearly states the action (list) and resource (records). However, it does not differentiate from sibling tools like get_record or review_record, missing the opportunity to specify scope or uniqueness.
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 versus alternatives such as get_record or search. The description provides no context for appropriate usage scenarios.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
review_recordC
Run deterministic checks on a record and return structured findings.
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations are absent, so the description must carry the full behavioral disclosure. It mentions 'deterministic checks' implying no side effects, but does not detail what checks are performed or the nature of the 'structured findings'. Deeper traits like auth needs or rate limits 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 a single sentence with no unnecessary words. It is appropriately front-loaded, though it could be expanded slightly without losing conciseness.
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 output schema, no annotations, and a single parameter with zero coverage, the description is grossly insufficient. It does not explain what a 'record' is, what 'checks' entail, or the format of findings, leaving the agent with little actionable 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?
Schema coverage is 0%, meaning the description must compensate by explaining the 'id' parameter. It does not mention the parameter at all, failing to add meaning beyond the bare schema.
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 'run deterministic checks' and resource 'record', and implies a distinct function from sibling tools like get_record or update_record, which focus on retrieval or modification.
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 on when to use this tool versus alternatives (e.g., get_record for retrieval or create_record for creation). The description does not mention prerequisites or exclusions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
update_recordB
Patch a record by id. Requires MCP_ALLOW_WRITES=true.
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | ||
| name | No | ||
| amount | No | ||
| status | No |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description only indicates it's a write operation and mentions a configuration requirement. It does not disclose error behavior, idempotency, or side effects beyond the mutation.
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 extremely concise with only two sentences, front-loading the core purpose and a key requirement. No wasted words.
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 output schema or annotations, the description is incomplete. It lacks details on return value, error responses, and concurrency, which are important for a mutation tool.
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 information about the parameters beyond their existence. The schema is self-explanatory, but the description could highlight that 'id' identifies the record and that other fields are optional for partial updates.
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 action ('Patch a record by id') and distinguishes from sibling tools like create_record, get_record, list_records, and review_record.
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?
The description provides a requirement ('Requires MCP_ALLOW_WRITES=true') but does not explicitly state when to use versus alternatives or when not to use.
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.
5 tool updates
v1.0.0- First observed
create_record - First observed
get_record - First observed
list_records - First observed
review_record - First observed
update_record
TDQS
Scored across 5 tools
Each tool has a distinct action (get, list, review, create, update) with no overlap, making it easy for an agent to select the correct tool.
All tools follow a consistent verb_noun pattern (e.g., get_record, create_record), with only minor plural variation in list_records.
5 tools provide a focused set for record management without being too sparse or overwhelming.
Covers create, read (single and list), update, and adds a review operation. Missing delete, but that may be intentional for safety.
Maintenance
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