monday-graphql-mcp
Enables AI assistants to help developers build on the monday.com GraphQL API by validating queries, explaining errors, providing column value formats, introspecting the live schema, executing queries, and scaffolding boilerplate code.
README
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 |
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.
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