# FastAPI Knowledge Base MCP Server

> Use this tool when you need to retrieve FastAPI documentation, query reference materials, or introspect project details via MCP. It solves problems related to accessing and understanding FastAPI project documentation, symbols, and OpenAPI specs. The tool takes in queries and returns relevant documentation and project information, making it ideal for use cases where LLMs require accurate and up-to-date project knowledge.

Canonical page: https://skillsregistry.net/skills/pedroct-fastapi-llm-toolkit  
JSON: https://api.skillsregistry.net/v1/skills/pedroct-fastapi-llm-toolkit

## Description

Provides RAG-based FastAPI documentation retrieval and project introspection tools via MCP, enabling LLMs to query reference docs, symbols, and project OpenAPI specs.

## Trust

- **Trust score (0–1):** 0.86
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/mh07f7t0av)
- **Repository:** <https://github.com/pedroct/fastapi-llm-toolkit>

## 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": "pedroct-fastapi-llm-toolkit"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/pedroct-fastapi-llm-toolkit` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/pedroct-fastapi-llm-toolkit/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