Arkiv MCP Server
Click on "Install 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., "@Arkiv MCP Serverfind all posts with score > 10 on Arkiv"
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.
Arkiv MCP Server
A Model Context Protocol (MCP) server that exposes Arkiv database chain querying capabilities to AI agents and applications.
Quick Start
1. Build
cd arkiv-mcp
npm install
npm run build2. Add to Claude Code
Run this from the arkiv-mcp directory:
claude mcp add arkiv -- node $(pwd)/dist/index.jsOr add it manually to ~/.claude/settings.json:
{
"mcpServers": {
"arkiv": {
"command": "node",
"args": ["/absolute/path/to/arkiv-mcp/dist/index.js"]
}
}
}For Claude Desktop, add the same block to ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows).
3. Query the Kaolin testnet
Once connected, the query_entities tool is available. Example prompts:
"Query all entities on Arkiv"
"Find all Arkiv entities where
type = "post"andscore > 10""Show me entities owned by
0x1234...on the Arkiv testnet""Get the first 5 entities matching
status = "active", then paginate"
Related MCP server: TextQL MCP Server
Features
Query entities from Arkiv database chains using a SQL-like filter expression
Full
arkiv_querysyntax: comparisons, logical operators, glob matching, synthetic attributesPagination support with cursor
Configurable return fields (attributes, metadata, payload)
Defaults to Kaolin testnet
Installation
cd arkiv-mcp
npm install
npm run build
# Or use tsx for development
npm run devUsage
Start the server
# Using default Kaolin testnet
npm start
# With custom node URL
npm start -- --node-url https://your-arkiv-node.rpc
# Or with tsx for development
npm run dev -- --node-url https://your-arkiv-node.rpcEnvironment Variables
Variable | Description | Required |
| Arkiv node RPC URL | No (defaults to Kaolin testnet) |
Command Line Options
Option | Description | Default |
| Arkiv node RPC URL | Kaolin testnet |
| Show help | - |
MCP Tool
query_entities
Query entities from an Arkiv database chain.
Parameters
Parameter | Type | Description | Default |
| string | Filter expression (see syntax below) |
|
| number | Maximum number of entities to return (max 200) | - |
| string | Pagination cursor from a previous response | - |
| boolean | Include attributes in results | true |
| boolean | Include metadata (owner, creator, expiry) in results | true |
| boolean | Include payload in results (base64 encoded) | true |
| number | Query state at a specific block number | - |
Filter Syntax
The filter parameter uses the arkiv_query expression language:
Operator | Description | Example |
| Equality |
|
| Not equal |
|
| Numeric range |
|
| Logical AND |
|
| Logical OR |
|
| Negation |
|
| Glob match |
|
| Negated glob |
|
Synthetic attributes (prefixed with $):
Attribute | Description |
| Match all entities |
| Current owner address |
| Original creator address (immutable) |
| Entity key |
Filter Examples
# All entities
$all
# By entity key
$key = "0xabc123..."
# By owner or creator
$owner = "0x1234567890abcdef..."
$creator = "0x1234567890abcdef..."
# Attribute equality
status = "active"
type = "post"
# Numeric range
score > 100
price >= 50 && price <= 200
# Compound
project = "myapp" && type = "post" && score > 10
# Glob matching
name ~ "draft*"
!(status = "deleted")Response Format
{
"entities": [
{
"key": "0x...",
"owner": "0x...",
"creator": "0x...",
"createdAtBlock": "12345",
"lastModifiedAtBlock": "12350",
"expiresAtBlock": "99999",
"contentType": "application/json",
"payload": "<base64-encoded bytes>",
"attributes": [
{ "key": "type", "value": "post" },
{ "key": "score", "value": 42 }
]
}
],
"cursor": "0x2a",
"blockNumber": "12350",
"count": 1
}Paginate by passing the returned cursor back as the cursor parameter in the next call. When cursor is absent, there are no more results.
Development
The server uses:
@arkiv-network/sdk — Arkiv TypeScript SDK
@modelcontextprotocol/sdk — MCP Server SDK
Project Structure
arkiv-mcp/
├── src/
│ └── index.ts # Main server implementation
├── package.json
├── tsconfig.json
└── README.mdLicense
MIT
Available Tools
1 toolquery_entitiesA
Query entities from an Arkiv database chain using a filter expression. The filter uses a SQL-like syntax: comparisons (=, !=, <, >, <=, >=), logical operators (&& and ||), negation (!), and glob matching (~). Special attributes: $all (match everything), $owner (current owner address), $creator (original creator address, immutable), $key (entity key). Examples: '$all', 'status = "active"', 'score > 100', 'project = "myapp" && status = "active"', '$owner = "0x1234..."', 'name ~ "test*"'
| Name | Required | Description | Default |
|---|---|---|---|
| filter | No | Filter expression. Defaults to "$all" if omitted. Examples: 'status = "active"', 'score > 100 && type = "post"', '$owner = "0xAbc..."', '$creator = "0xDef..."', 'name ~ "prefix*"' | |
| limit | No | Maximum number of entities to return (max 200) | |
| cursor | No | Pagination cursor returned by a previous query | |
| withAttributes | No | Include attributes in results (default: true) | |
| withMetadata | No | Include metadata (owner, creator, expiry) in results (default: true) | |
| withPayload | No | Include payload in results as base64 (default: true) | |
| validAtBlock | No | Query state at a specific block number |
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 explains the filter syntax and special attributes but does not disclose performance implications, rate limits, or confirm that it is read-only. Schema covers some aspects (e.g., limit), but behavioral context is lacking.
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, well-structured paragraph that front-loads the core purpose, then details the filter syntax, special attributes, and examples. Every sentence adds value without 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, the description does not explain return values explicitly, but the tool name and parameters imply entities with requested fields. Pagination cursor is mentioned in schema but not explained in description. Overall, it is fairly complete for a query 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 description coverage is 100%, so baseline is 3. The description adds meaningful context for the 'filter' parameter by detailing the syntax and special attributes ($all, $owner, etc.), which goes beyond the schema. Other parameters are not enhanced, but the main parameter benefits significantly.
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 that the tool queries entities from an Arkiv database chain using a filter expression, with specific SQL-like syntax and special attributes. It is a specific verb-resource pair, and there are no sibling tools to distinguish against.
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 examples and syntax details that imply when to use the tool, but does not explicitly state when not to use or mention alternatives. Since there are no sibling tools, the lack of exclusion is less critical.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
TDQS
Only one tool exists, so there is no risk of confusion between tools. Perfect disambiguation.
With a single tool, there are no naming inconsistencies. The name 'query_entities' follows a clear verb_noun pattern.
A single tool is insufficient for a database server; even if it's query-only, missing CRUD operations severely limits functionality. Extreme mismatch.
The server only offers query functionality, omitting essential operations like create, update, or delete. Significant gaps for typical database interaction.
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
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