# PEP MCP Server

> Use this tool when you need to access and query Python Enhancement Proposals (PEPs) efficiently, solving problems like staying up-to-date with the latest developments in Python or searching for specific information within PEP documents. It takes natural language queries as input and returns relevant PEP titles, document content, or excerpts as output. Ideal for use cases where quick and accurate retrieval of PEP information is required, such as during Python development, research, or troubleshooting.

Canonical page: https://skillsregistry.net/skills/ribbit-br-mcp-pep-server  
JSON: https://api.skillsregistry.net/v1/skills/ribbit-br-mcp-pep-server

## Description

Provides tools to search, list, and retrieve Python Enhancement Proposals (PEPs) directly from official sources like peps.python.org. It enables users to query active PEP titles and fetch document content or focused excerpts through natural language.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/gbh9oqci6v)
- **Repository:** <https://github.com/ribbit-br/mcp-pep-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": "ribbit-br-mcp-pep-server"
    }
  }
}
```

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