MCP GraphQL
MCP server that lets LLMs dynamically discover and query any GraphQL API by introspecting its schema, executing queries, and optionally executing mutations against a configured endpoint.
Score Breakdown
⚙ Agent Friendliness
🔒 Security
GraphQL MCP server. Auth depends on GraphQL schema and resolvers. Introspection should be disabled in production. Query depth/complexity limits prevent DoS.
⚡ Reliability
Best When
You have a GraphQL endpoint and want an AI agent to self-discover what queries are possible and execute them without you writing the queries manually.
Avoid When
You need strict query control, cost/complexity limiting on GraphQL operations, or your API requires mTLS or complex multi-step auth flows not supported by a static HEADERS env var.
Use Cases
- • Enabling an AI agent to explore and query an internal GraphQL API without hardcoded query definitions
- • Prototyping GraphQL queries interactively through Claude for API development and testing
- • Bridging AI workflows to GraphQL-backed services (e.g., Shopify, GitHub, Contentful)
- • Schema exploration for developers onboarding to an unfamiliar GraphQL API
Not For
- • REST-only APIs (no OpenAPI/REST support)
- • Production environments needing fine-grained query whitelisting or cost controls
- • Users who need mutations enabled by default (disabled for safety)
Interface
Authentication
Auth is passed as a JSON string in the HEADERS environment variable (e.g., {"Authorization":"Bearer token"}). No OAuth flow support — static headers only. Suitable for API key and bearer token scenarios.
Pricing
Open source. Costs depend entirely on the GraphQL API being queried.
Agent Metadata
Known Gotchas
- ⚠ Mutations disabled by default via ALLOW_MUTATIONS flag — must explicitly enable for write operations
- ⚠ Schema introspection must be enabled on the target GraphQL server (some production APIs disable it)
- ⚠ Static HEADERS env var means no dynamic token refresh — tokens must be rotated manually
- ⚠ No query complexity or depth limiting — agents could generate expensive queries
Alternatives
Full Evaluation Report
Detailed scoring breakdown, competitive positioning, security analysis, and improvement recommendations for MCP GraphQL.
Scores are editorial opinions as of 2026-03-06.