# Personal Semantic Search MCP

> Use this tool when you need to efficiently search and retrieve information from your local notes and documents using natural language queries. It solves problems of information overload and disorganization by enabling semantic search across multiple file types, including Markdown, Python, and JSON files. The tool takes in natural language queries as input and outputs relevant search results, making it ideal for use cases where quick access to specific information is crucial.

Canonical page: https://skillsregistry.net/skills/ethan2298-personal-semantic-search-mcp  
JSON: https://api.skillsregistry.net/v1/skills/ethan2298-personal-semantic-search-mcp

## Description

Enables semantic search over local notes and documents using natural language queries. Supports multiple file types (Markdown, Python, HTML, JSON, CSV, text) with fast local embeddings and persistent ChromaDB vector storage.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/oklt5yf4w6)
- **Repository:** <https://github.com/Ethan2298/personal-semantic-search-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": "ethan2298-personal-semantic-search-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ethan2298-personal-semantic-search-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ethan2298-personal-semantic-search-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