GraphQL Bridge connects MCP clients with GraphQL APIs, supporting schema introspection, queries, mutations, variables, a
by jorgeraad·Add new capabilities to Claude beyond text generation
Example: Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Provide Claude with access to relevant context and data
Example: Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Automate multi-step workflows combining AI and external tools
Example: Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Time estimate: 15-60 minutes depending on server complexity
Prerequisites
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GraphQL Bridge reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
GraphQL Bridge has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
GraphQL Bridge has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
GraphQL Bridge is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
GraphQL Bridge reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
We evaluated GraphQL Bridge against two servers with overlapping tools; this profile had the clearer scope statement.
Useful MCP listing: GraphQL Bridge is the kind of server we cite when onboarding engineers to host + tool permissions.
GraphQL Bridge has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
GraphQL Bridge reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
We wired GraphQL Bridge into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
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Select a client to integrate this server.
Claude Desktop configuration
{
"mcpServers": {
"mcp4gql": {
"command": "npx",
"args": [
"-y",
"mcp4gql"
],
"env": {
"GRAPHQL_ENDPOINT": "YOUR_GRAPHQL_ENDPOINT_URL",
"AUTH_TOKEN": "YOUR_OPTIONAL_AUTH_TOKEN"
}
}
}
}Enables MCP clients to interact with GraphQL APIs by providing schema introspection and query/mutation execution capabilities. Requires configuration with GraphQL endpoint URL and optional authentication token.
GraphQL Bridge is a community-built MCP server published by jorgeraad that provides AI assistants with tools and capabilities via the Model Context Protocol. GraphQL Bridge connects MCP clients with GraphQL APIs, supporting schema introspection, queries, mutations, variables, a It is categorized under developer tools.
You can install GraphQL Bridge in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
This project is a Node.js/TypeScript server that implements the Model Context Protocol (MCP). It acts as a bridge, allowing MCP clients (like Cursor) to interact with a target GraphQL API.
Server class from @modelcontextprotocol/sdk.axios to send requests to the configured GraphQL endpoint.introspectGraphQLSchema: Fetches the target GraphQL API schema using introspection.executeGraphQLOperation: Executes arbitrary GraphQL queries or mutations against the target API, taking query, optional variables, and optional operationName as input.The server requires the following environment variables:
GRAPHQL_ENDPOINT: The URL of the target GraphQL API.AUTH_TOKEN: A bearer token for an optional Authorization: Bearer <token> header for authenticating with the GraphQL API.To allow clients like Cursor or Claude Desktop to use the tools provided by this server, you need to configure them to run the npx command.
Go to Cursor MCP Settings (Cursor > Settings > Cursor Settings > MCP)
Go to + Add new global MCP server
Add the following to your Cursor MCP configuration:
{
"mcpServers": {
"mcp4gql": {
"command": "npx",
"type": "stdio",
"args": ["-y", "mcp4gql"],
"env": {
"GRAPHQL_ENDPOINT": "YOUR_GRAPHQL_ENDPOINT_URL",
"AUTH_TOKEN": "YOUR_OPTIONAL_AUTH_TOKEN"
}
}
}
}
Open Claude Desktop settings (Claude > Settings).
Go to Developer > Edit Config.
Add to the config:
{
"mcpServers": {
"mcp4gql": {
"command": "npx",
"args": ["-y", "mcp4gql"],
"env": {
"GRAPHQL_ENDPOINT": "YOUR_GRAPHQL_ENDPOINT_URL",
"AUTH_TOKEN": "YOUR_OPTIONAL_AUTH_TOKEN"
}
}
}
}
Once configured, the MCP client should be able to list and call the introspectGraphQLSchema and executeGraphQLOperation tools provided by this server when relevant. Remember to set the required environment variables (GRAPHQL_ENDPOINT and optionally AUTH_TOKEN) in the configuration so the server can connect to your API.
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
Compatibility
✓ Use when
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid when
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.
MCP Use
The fullstack MCP framework for developing MCP apps for ChatGPT, Claude, and building MCP servers for AI agents. Connect