Conduit
Exposes any GraphQL API as a set of tools consumable by Large Language Models (LLMs) via the Model Context Protocol (MCP).
About
Conduit acts as a lightweight, automated bridge that connects GraphQL APIs to Large Language Models (LLMs) by exposing API functionalities as a set of tools consumable via the Model Context Protocol (MCP). It operates as a "set-it-and-forget-it" microservice, automatically discovering and exposing new queries and mutations from your GraphQL endpoint as your API evolves, requiring zero manual maintenance for AI agent integration.
Key Features
- Container-Ready: Includes Dockerfile and Kubernetes manifests for easy deployment.
- Lightweight & Fast: Built with Express.js for minimal footprint and reliable performance.
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- Zero-Maintenance: Automatically discovers API capabilities using introspection, no manual tool definition needed.
- Protocol Compliant: Implements core MCP endpoints for seamless integration.
- Dynamic Execution: Translates LLM tool calls into valid GraphQL queries/mutations and executes them.
Use Cases
- Enabling LLM agents to dynamically interact with backend services via GraphQL.
- Simplifying the exposure of complex API capabilities to AI agents without manual tool definition.
- Automating the integration of GraphQL APIs with LLM-powered applications.
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