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Arkiv MCP Server

by arrivets

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 build

2. Add to Claude Code

Run this from the arkiv-mcp directory:

claude mcp add arkiv -- node $(pwd)/dist/index.js

Or 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" and score > 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_query syntax: comparisons, logical operators, glob matching, synthetic attributes

  • Pagination 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 dev

Usage

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.rpc

Environment Variables

Variable

Description

Required

ARKIV_NODE_URL

Arkiv node RPC URL

No (defaults to Kaolin testnet)

Command Line Options

Option

Description

Default

--node-url <url>

Arkiv node RPC URL

Kaolin testnet

--help, -h

Show help

-

MCP Tool

query_entities

Query entities from an Arkiv database chain.

Parameters

Parameter

Type

Description

Default

filter

string

Filter expression (see syntax below)

$all

limit

number

Maximum number of entities to return (max 200)

-

cursor

string

Pagination cursor from a previous response

-

withAttributes

boolean

Include attributes in results

true

withMetadata

boolean

Include metadata (owner, creator, expiry) in results

true

withPayload

boolean

Include payload in results (base64 encoded)

true

validAtBlock

number

Query state at a specific block number

-

Filter Syntax

The filter parameter uses the arkiv_query expression language:

Operator

Description

Example

=

Equality

status = "active"

!=

Not equal

status != "deleted"

>, >=, <, <=

Numeric range

score > 100

&&

Logical AND

type = "post" && score > 50

||

Logical OR

status = "active" || status = "pending"

!

Negation

!(status = "deleted")

~

Glob match

name ~ "test*"

!~

Negated glob

name !~ "draft*"

Synthetic attributes (prefixed with $):

Attribute

Description

$all

Match all entities

$owner

Current owner address

$creator

Original creator address (immutable)

$key

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:

Project Structure

arkiv-mcp/
├── src/
│   └── index.ts          # Main server implementation
├── package.json
├── tsconfig.json
└── README.md

License

MIT

Available Tools

1 tool
query_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*"'

ParametersJSON Schema
NameRequiredDescriptionDefault
filterNoFilter expression. Defaults to "$all" if omitted. Examples: 'status = "active"', 'score > 100 && type = "post"', '$owner = "0xAbc..."', '$creator = "0xDef..."', 'name ~ "prefix*"'
limitNoMaximum number of entities to return (max 200)
cursorNoPagination cursor returned by a previous query
withAttributesNoInclude attributes in results (default: true)
withMetadataNoInclude metadata (owner, creator, expiry) in results (default: true)
withPayloadNoInclude payload in results as base64 (default: true)
validAtBlockNoQuery state at a specific block number

TDQS

A4.2/5.0
Behavior3/5

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.

Conciseness5/5

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.

Completeness4/5

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.

Parameters4/5

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.

Purpose5/5

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.

Usage Guidelines4/5

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

A3.9/5.0
Disambiguation5/5

Only one tool exists, so there is no risk of confusion between tools. Perfect disambiguation.

Naming Consistency5/5

With a single tool, there are no naming inconsistencies. The name 'query_entities' follows a clear verb_noun pattern.

Tool Count1/5

A single tool is insufficient for a database server; even if it's query-only, missing CRUD operations severely limits functionality. Extreme mismatch.

Completeness2/5

The server only offers query functionality, omitting essential operations like create, update, or delete. Significant gaps for typical database interaction.

Maintenance

ActivityInactive
ResponsivenessNo issues

Resources

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