# Local FAISS MCP Server

> Use this tool when you need to efficiently manage and search large vector databases, and generate semantic search results and MCP prompts. It solves problems related to document ingestion, semantic search, and prompt generation, providing a local FAISS vector database for RAG applications. It takes in documents and queries as inputs and outputs relevant search results and prompts.

Canonical page: https://skillsregistry.net/skills/io-github-nonatofabio-local-faiss-mcp  
JSON: https://api.skillsregistry.net/v1/skills/io-github-nonatofabio-local-faiss-mcp

## Description

Local FAISS vector database for RAG with document ingestion, semantic search, and MCP prompts.

## Trust

- **Trust score (0–1):** 0.81
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 0.2.0-rc.2
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-19

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.nonatofabio%2Flocal-faiss-mcp)
- **Repository:** <https://github.com/nonatofabio/local_faiss_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": "io-github-nonatofabio-local-faiss-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-nonatofabio-local-faiss-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-nonatofabio-local-faiss-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