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qualityMCP for working with GraphQL servers.
Last updated -
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TypeScript
MIT License
Includes Docker support for containerization, making it easy to deploy alongside existing services.
Built with Express.js to provide a lightweight and performant bridge between LLMs and GraphQL APIs.
Exposes any GraphQL API as a set of tools consumable by LLMs, automatically discovering queries and mutations through introspection and translating LLM tool calls into valid GraphQL operations.
Provides Kubernetes manifests for seamless deployment in container orchestration environments.
Conduit 🌉
Unchain your GraphQL API for Large Language Models.
Conduit is a lightweight, automated bridge that exposes any GraphQL API as a set of tools consumable by Large Language Models (LLMs) via the Model Context Protocol (MCP).
It's a "set-it-and-forget-it" microservice. Simply point it at your GraphQL endpoint, and it handles the rest. Whenever you update your API, Conduit automatically discovers the new queries and mutations and exposes them to your AI agents with zero maintenance required.
✨ Features
- Zero-Maintenance: Automatically discovers your API's capabilities using introspection. No manual tool definition is needed.
- Protocol Compliant: Implements the core MCP endpoints (
/listTools,/getToolSchema,/executeTool) out of the box. - Dynamic Execution: Translates LLM tool calls into valid GraphQL queries/mutations and executes them against your API.
- Container-Ready: Comes with a
Dockerfileand Kubernetes manifests for easy deployment alongside your existing services. - Lightweight & Fast: Built with Express.js for a minimal footprint and reliable performance.
🏗️ Architecture
The Conduit bridge is a stateless microservice that sits between your LLM client and your GraphQL API.
This server cannot be installed
remote-capable server
The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.
A bridge that exposes any GraphQL API as tools consumable by Large Language Models via the Model Context Protocol (MCP), automatically discovering and translating API capabilities with zero maintenance required.
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