monday-graphql-mcp
Related Servers
Alternatives to monday-graphql-mcp
No user-submitted related servers found.
Related Servers
- FlicenseBqualityDmaintenanceEnables AI assistants to interact with Monday.com workspaces, allowing retrieval of board lists, board details, item content, and user information through the Monday.com API.4-
- AlicenseBqualityDmaintenanceEnables AI assistants to execute GraphQL queries and retrieve schema information from any GraphQL endpoint.2223 npm8MIT
- AlicenseBqualityBmaintenanceA lightweight MCP server that provides a focused set of tools for interacting with monday.com's GraphQL API, enabling users to manage boards, items, users, and updates from AI assistants.13MIT
- AlicenseNot gradedqualityCmaintenanceEnables AI coding agents to read an allowlisted monday.com board and propose changes, while writes require a frozen column contract and human approval before being committed. The monday API token never leaves the server.2 npmMIT
- AlicenseNot gradedqualityBmaintenanceEnables LLM assistants to query Monday.com boards, groups, items, and columns via a cached SQLite-backed sync engine, minimizing API calls.MIT
- AlicenseNot gradedqualityCmaintenanceMCP server wrapping Monday.com GraphQL API to enable AI agents to interact with Monday.com boards, items, and workspaces through natural language or tool calls.4 npmMIT
TDQS
Scored across 6 tools
Each tool targets a distinct use case: schema retrieval, query execution, query validation, column formatting, error explanation, and scaffolding. There is minimal conceptual overlap between them, and the descriptions make the boundaries clear.
Most tools use a clear verb_noun pattern (get_schema, validate_query, run_query, explain_error, scaffold), but column_value_format deviates by being a noun phrase rather than an action-oriented name. This is a minor inconsistency and does not prevent readability.
Six tools is a well-scoped set. Each tool addresses a distinct part of the monday.com GraphQL development workflow, and none feel redundant or unnecessary.
The set covers the full developer workflow: retrieving schema, validating queries, executing queries, understanding column value formats, troubleshooting errors, and generating boilerplate code. Since run_query handles arbitrary GraphQL operations, there are no obvious dead ends.