Skip to main content
Glama
ataliarf

monday-graphql-mcp

by ataliarf

monday-graphql-mcp

An MCP server that helps developers build on the monday.com GraphQL API — query validation, column value formats, error explanations, live schema introspection, and code scaffolding, all from your AI assistant.

Tools

Tool

API Key Required

Description

column_value_format

No

Exact read/write JSON format for any column type

explain_error

No

Decode API errors and get a fix suggestion

scaffold

No

Boilerplate code for integrations, webhooks, OAuth, and apps

validate_query

Optional

Syntax check, complexity estimate, and lint warnings

get_schema

Yes

Live schema introspection, filterable by keyword

run_query

Yes

Execute a query or mutation against the API

Related MCP server: Monday.com MCP Server

Setup

1. Install and build

git clone <repo-url> monday-graphql-mcp
cd monday-graphql-mcp
npm install
npm run build

2. Add to Claude Code

Add this to your ~/.claude/settings.json under mcpServers:

{
  "mcpServers": {
    "monday-graphql-mcp": {
      "command": "node",
      "args": ["/path/to/monday-graphql-mcp/dist/index.js"],
      "env": {
        "MONDAY_API_KEY": "your_api_key_here"
      }
    }
  }
}

Get your API key: monday.com → Avatar → Administration → API.

Restart Claude Code after updating the config.

3. Use without a key

column_value_format, explain_error, and scaffold work immediately with no API key.


Usage Examples

Get the exact format for a column type

How do I write a people column value?
→ uses column_value_format({ column_type: "people" })
{
  "personsAndTeams": [{ "id": 12345678, "kind": "person" }]
}

Decode an API error

I'm getting "ColumnValueException: invalid value" — what's wrong?
→ uses explain_error({ error: "...", query: "..." })

Validate a query before running it

query {
  boards(ids: [123]) {
    items_page(limit: 500) {
      items {
        id
        name
        column_values { id text value }
        subitems { id name }
      }
    }
  }
}
→ validate_query flags:
  - Estimated complexity: ~4200 (HIGH — likely to hit limits)
  - limit: 500 is the hard cap, but combined with subitems + all column_values this is expensive
  - Fetching all column_values without ids filter — add ids: ["col1"] to reduce complexity
  - Fetching subitems + column_values together — consider two separate queries

Generate boilerplate

Scaffold a TypeScript webhook listener for monday.com
→ uses scaffold({ type: "webhook-listener", language: "typescript" })

Scaffold types: api-client, webhook-listener, oauth-flow, integration, board-view, dashboard-widget
Languages: typescript, javascript, python

Fetch the live schema

Show me the monday.com schema for item-related types
→ uses get_schema({ filter: "item" })

Run a query

query {
  me {
    id
    name
    email
  }
}
→ uses run_query({ query: "..." })

Supported Column Types

text · long_text · numbers · status · people · date · timeline · checkbox · dropdown · link · email · phone · rating · country · board_relation · dependency · tags · hour · week · world_clock · color_picker · location · formula · mirror · auto_number · creation_log · last_updated · item_id · vote · files · subtasks


Development

npm run dev      # run with tsx (no build step)
npm run build    # compile TypeScript to dist/
npm start        # run compiled output

The server communicates over stdin/stdout using the MCP protocol — it's designed to be launched by an MCP host (Claude Code, Claude Desktop, etc.), not run directly in a terminal.

Install Server
F
license - not found
A
quality
C
maintenance

Maintenance

Maintainers
Response time
Release cycle
Releases (12mo)
Commit activity

Resources

Unclaimed servers have limited discoverability.

Looking for Admin?

If you are the server author, to access and configure the admin panel.

Related MCP Servers

View all related MCP servers

Related MCP Connectors

  • Monday.com MCP — wraps the Monday.com GraphQL API (BYO API key)

  • Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.

  • Connect AI assistants to Stellary projects, boards, documents, and governed agent workflows.

View all MCP Connectors

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/ataliarf/monday-graphql-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server