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Expose an OpenAI-compatible endpoint to access and orchestrate MCP tools.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "MCP-Bridge" yet — see the docs or source repo.
I have an existing app that only supports the OpenAI API. Explain how to connect MCP tools through MCP-Bridge, including deployment steps, config examples, and the request flow.
An integration guide with architecture notes, sample configuration, and OpenAI-compatible calling patterns.
Help me design a tool-calling gateway based on MCP-Bridge so multiple AI clients can access internal MCP tools consistently, including authentication, logging, and rate-limiting suggestions.
A gateway design outlining service structure, key middleware capabilities, and operational recommendations.
My client cannot properly trigger MCP tools through MCP-Bridge. List common compatibility issues, debugging steps, and how to verify whether the OpenAI-style requests are correct.
A troubleshooting checklist covering request format, tool registration, log inspection, and validation methods.
Dynamically bridge and register MCP capabilities with two-way client communication.
Convert OpenAPI specs into MCP tools for fast LLM API integration.
Turn HTTP operations and cURL commands into safe local-first MCP tools.
Aggregate multiple MCP servers into a few fixed tools for AI apps.
Convert MCP tool calls into REST requests for existing microservices.
Aggregate local MCP servers into one endpoint with runtime control and hot reload.