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Convert MCP tool calls into REST requests for existing microservices.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mcp-proxy" yet — see the docs or source repo.
I have an internal REST API: POST /tickets for creating support tickets. Help me map it into an MCP tool through mcp-proxy, including the tool name, parameter schema, request forwarding, and response format.
A mapping plan from MCP to REST covering tool definition, parameters, call flow, and sample responses.
We already have three REST microservices for user lookup, order lookup, and inventory lookup. Explain how to integrate them through mcp-proxy so an AI assistant can call them via MCP, and provide configuration ideas and key considerations.
A unified integration approach with proxy design, tool breakdown, configuration guidance, and implementation considerations.
Design a security plan for calls forwarded through mcp-proxy to REST APIs, covering authentication, authorization, request auditing, sensitive parameter handling, and error isolation.
A security design recommendation for MCP proxy scenarios to enable safe integration and reduce misuse risks.
Convert REST APIs into MCP tools for direct AI client access.
Proxy multiple MCP servers while reducing token usage with on-demand tool loading.
Expose an OpenAI-compatible endpoint to access and orchestrate MCP tools.
Turn HTTP operations and cURL commands into safe local-first MCP tools.
Convert OpenAPI specs into MCP tools for fast LLM API integration.
Route LLM completion requests to OpenAI-compatible providers through MCP tools.