"An introduction to GraphQL or resources for learning GraphQL" matching MCP servers:

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.

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

Automatically discovers and exposes any GraphQL API as MCP tools with zero configuration.

Enables querying Tableau lineage through the Metadata API via MCP, supporting impact analysis, where-used lookups, and content search. Provides read-only tools for answering natural-language questions about workbooks, datasources, fields, and dependencies.

Provides AI assistants with access to sales data from a Northwind-style database through GraphQL queries, enabling natural language requests for orders, customers, products, and analytics.

Indexes GraphQL schemas using embeddings to enable semantic search of types and fields for fast lookup. It allows LLMs to discover relevant schema signatures and execute queries against live GraphQL endpoints.

Enables executing arbitrary GraphQL queries and mutations against GitHub's API through a single MCP tool.

Provides offline search and retrieval of Magento 2 GraphQL API documentation with 8 specialized tools for finding queries, mutations, types, tutorials, and code examples across 350+ locally indexed markdown files.

A minimal MCP server with get_weather and create_ticket tools, used for testing MCP servers across protocol, unit, eval, transport, and auth layers.

MCP server that provides OpenRouter model pricing data, enabling price lookups, trending/cheapest lists, and model searches without an API key.

An MCP server that enforces a pedagogical workflow to teach topics step by step, using research, decomposition, and spaced retrieval practice.

Enables developers to record feature-based development processes and turn Git changes, AI conversations, token usage, technical decisions, and debugging attempts into structured Obsidian learning reviews.

A Model Context Protocol server that enables Claude to execute Python code using boto3 to query and manage AWS resources directly from conversations.

A server that allows you to explore the GitHub GraphQL schema and execute GraphQL queries through MCP client tools, enabling efficient data retrieval from GitHub with reduced token consumption.

Enables AI agents to index, search, and validate lessons learned across project repositories via a local SQLite index, providing learning-loop resources and verified-solution tracking without loading full files into conversations.

MCP server that demonstrates the Resources feature by exposing static and dynamic resources, including contact data and personalized greetings, through MCP.

Enables AI agents to query and mutate data in Microsoft Fabric data warehouse via GraphQL using Model Context Protocol.

AI learning assistant for families. Manages game time rewards based on school grades, homework, and bonus tasks. Syncs with EduPage/PRONOTE. 78 MCP tools with instruction workflows.

Enables the AI Learning Assistant to perform web searches for current or external information, returning ranked public-web results with titles, URLs, snippets, and scores over Streamable HTTP.

Enables querying and exploring the GitHub GraphQL API schema and executing optimized GraphQL queries to retrieve precise GitHub data (repositories, issues, PRs, users) with reduced token consumption.