# python-mcp-server

> Use this tool when you need to integrate AI agents with a knowledge graph and document store for evidence-backed responses. It enables hybrid search and Retrieval-Augmented Generation (RAG) capabilities, solving problems related to information retrieval and question-answering. The python-mcp-server takes in queries from AI agents and returns relevant responses from the Graphiti knowledge graph and pgvector document store.

Canonical page: https://skillsregistry.net/skills/engineering-with-ai-python-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/engineering-with-ai-python-mcp-server

## Description

A Model Context Protocol server that enables AI agents to query a Graphiti knowledge graph and pgvector document store for evidence-backed responses via hybrid search and RAG.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/qtu0iwnwyo)
- **Repository:** <https://github.com/engineering-with-ai/python-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": "engineering-with-ai-python-mcp-server"
    }
  }
}
```

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