# mcp-server

> mcp-server — palveron-mcp-server. Use this tool when you need to govern AI coding agents with Model Context Protocol (MCP) for streamlined development and version control, solving issues of model management and collaboration. It provides a centralized server for managing AI models, accepting git inputs and outputting governed model contexts. Ideal for use cases requiring standardized AI model integration and control.

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

## Description

Palveron MCP Server — AI Governance for coding agents via Model Context Protocol

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-21

## Source

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

## 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": "palveron-mcp-server"
    }
  }
}
```

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