# MCP_repo

> Use this tool when you need to build custom MCP servers with AI agents, supporting integration with the Gemini API. It solves problems related to custom server development and AI agent deployment, enabling teams to define tools and integrate with existing APIs. The MCP_repo tool takes in custom server configurations and tool definitions as input and outputs a fully integrated MCP server with AI capabilities.

Canonical page: https://skillsregistry.net/skills/t11003-mcp-repo  
JSON: https://api.skillsregistry.net/v1/skills/t11003-mcp-repo

## Description

Enables teams to build custom MCP servers with AI agents, supporting tool definition and Gemini API integration.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/polvs1c4hq)
- **Repository:** <https://github.com/t11003/MCP_repo>

## 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": "t11003-mcp-repo"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/t11003-mcp-repo` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/t11003-mcp-repo/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