"Information about GraphQL" matching MCP servers:

Enables AI assistants to execute GraphQL queries and retrieve schema information from any GraphQL endpoint.

A Node.js server that enables LLMs to inspect GraphQL schemas and retrieve information about queries, mutations, and types via MCP.

Enables AI agents to connect to any GraphQL endpoint, introspect schemas, and execute queries or mutations through auto-generated tools.

A generic MCP (Model Context Protocol) server that bridges any GraphQL API to Claude Code. It introspects your GraphQL schema and exposes each query and mutation as an individual tool, letting Claude interact with your API directly.

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.

Converts natural language queries into valid GraphQL queries and executes them against GraphQL APIs. Includes schema introspection, query validation, execution with authentication, and query history tracking.

Provides comprehensive GraphQL introspection, filtering, and query/mutation execution with safety controls. Enables AI agents to explore and interact with GraphQL APIs through natural language.

Exposes any GraphQL API as a single tool for executing queries and mutations with authentication support.

A Model Context Protocol server for executing GraphQL queries, allowing AI models to interact with GraphQL APIs through introspection and query execution.

Enables Claude Code to interact with any GraphQL API by introspecting the schema and exposing queries and mutations as individual callable tools.

Enables AI agents to interact with any GraphQL API by introspecting the schema and exposing queries and mutations as MCP tools, with built-in pagination, semantic search, and framework adapters.

Enables full interaction with Shopify's Admin GraphQL API, including raw queries, schema exploration, and CRUD operations for products, collections, customers, and more.

Turn any GraphQL API into MCP tools. Zero config, zero code. Auto-introspection, flat InputObject schemas for better LLM accuracy, smart truncation, retry logic with exponential backoff.

Automatically discovers GraphQL APIs through introspection and generates table-formatted queries with pagination, filters, and sorting. Supports multiple authentication types and provides both CLI and REST API interfaces for seamless integration.

MCP server that exposes GraphQL operations as typed tools for AI models, with schema exploration, validation, execution, hot reload, OAuth, prompts, MCP Apps widgets, and OpenTelemetry support.

Enables LLMs to interact with GraphQL APIs through schema introspection and query execution.

A Model Context Protocol server that enables LLMs to interact with GraphQL APIs by providing schema introspection and query execution capabilities.

A Model Context Protocol server that enables LLMs to interact with GraphQL APIs by providing schema introspection and query execution capabilities.

Provides intelligent introspection and exploration of any GraphQL API schema with fuzzy search, type discovery, and field-level information to help understand and navigate GraphQL APIs.

Lets an AI assistant learn the CloudCart Storefront GraphQL API, look up types, queries and mutations by name, and validate GraphQL snippets against schema and common real-world mistakes. It runs entirely locally with no store, token, or network access, so no live data is ever touched.

An MCP server for interacting with Treasure Data API, allowing users to retrieve database information and check server status through natural language queries.

Probes your live API and classifies why each endpoint failed (root cause, evidence, and a calibrated confidence level), exposed over MCP so your AI assistant debugs from evidence instead of guessing. Works with FastAPI, Express, Next.js, tRPC, and GraphQL.

A high-performance, multi-protocol API mock server with 18 built-in MCP tools for managing HTTP, GraphQL, gRPC, WebSocket, MQTT, SSE, and SOAP mocks, chaos engineering, stateful CRUD resources, and request verification.

An MCP server that turns Zod schemas into mocks, violations, and contract tests, enabling AI agents to reason about API contracts without manually crafting payloads.

API client for coding agents. Sends saved HTTP, GraphQL and gRPC requests, runs collections with their checks, and creates or edits requests over stdio or loopback HTTP, with secret values redacted and calls limited to an allowlist of hosts.

Lets an AI agent discover and call the APIs of a running service — gRPC, REST/OpenAPI, GraphQL, SignalR, MQTT, WebSocket and more — and record, replay, mock and assert on those calls. Calls only go to allowlisted URLs, and tools that change state ask for confirmation first.

Enables users to turn any API's documentation into a tested MCP server whose tools expose the API's own operations, with linting, contract tests, and live verification. It accepts OpenAPI/Swagger, Postman, RAML, WSDL, GraphQL, RSS, and HTML docs.

A Swagger/OpenAPI query tool for MCP clients like Cursor, enabling AI assistants to browse, search, and retrieve detailed API type information.

GraphQL MCP Server that acts as a bridge allowing MCP clients (like Cursor or Claude Desktop) to interact with target GraphQL APIs through standard tools for schema introspection and operation execution.

Enables AI agents to execute HTTP/REST/GraphQL requests against any endpoint, including private VPN hosts and local services, while logging untruncated headers, request bodies, and raw responses into a local SQLite audit history. Agents can then search that history by keyword, date, method, or status, retrieve full details by ID, and export everything to JSON.