# mcp-proxy

> Use this tool when you need to integrate Large Language Models (LLMs) with existing RESTful microservices, converting MCP tool calls into REST requests to enable seamless communication. It solves the problem of incompatible interfaces between LLM clients and microservices, allowing any REST API to be used as an MCP tool without modification. This tool is ideal for use cases where LLMs need to interact with existing microservices, providing a flexible interface for inputs and outputs.

Canonical page: https://skillsregistry.net/skills/dyy-fq-mcp-proxy  
JSON: https://api.skillsregistry.net/v1/skills/dyy-fq-mcp-proxy

## Description

Bridges LLM clients with existing RESTful microservices by converting MCP tool calls into REST requests, enabling any REST API to be used as an MCP tool without modifying the microservices.

## Trust

- **Trust score (0–1):** 0.62
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/wgrcxcfzb5)
- **Repository:** <https://github.com/dyy-fq/mcp-proxy>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "dyy-fq-mcp-proxy"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dyy-fq-mcp-proxy` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dyy-fq-mcp-proxy/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt