# peering-mcp

> peering-mcp — leonardmichalas-peering-mcp. Use this tool when you need to access public internet interconnection data to inform network architecture decisions or optimize routing policies. The peering-mcp server provides AI agents with information on who peers with whom, where, and under what policy, solving problems related to network planning and optimization. It takes queries as input and returns relevant peering data as output, making it a valuable resource in contexts where understanding internet interconnections is crucial.

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

## Description

An MCP server that gives AI agents access to public internet interconnection data: who peers with whom, where, and under what policy.

## Trust

- **Trust score (0–1):** 0.78
- **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/LeonardMichalas/peering-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": "leonardmichalas-peering-mcp"
    }
  }
}
```

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