# mesh-mcp

> mesh-mcp — mesh-mesh-mcp. Use this tool when you need to manage model contexts for Mesh, providing a simple server implementation of the Model Context Protocol (MCP) to streamline model management and integration. It solves problems related to model versioning and collaboration, accepting Git inputs and outputting managed model contexts. Ideal for use cases involving model development, testing, and deployment in Mesh environments.

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

## Description

A simple Model Context Protocol (MCP) server for Mesh.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/mesh/mesh-mcp)

## 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": "mesh-mesh-mcp"
    }
  }
}
```

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