# Local Vector Store MCP Server

> Use this tool when you need to efficiently search and retrieve documents based on semantic similarity, solving problems such as information retrieval and document ranking across large collections of HTML and PDF files. It accepts document ingests and query inputs through HTTP API and MCP stdio interfaces, and outputs relevant document matches based on TF-IDF vector similarity. Ideal for use cases where complex document search and retrieval are required, such as research, data analysis, or knowledge management applications.

Canonical page: https://skillsregistry.net/skills/paddione-mcp  
JSON: https://api.skillsregistry.net/v1/skills/paddione-mcp

## Description

Enables document search and retrieval using TF-IDF vector similarity across HTML and PDF files. Provides ingest, query, and vector store management capabilities through both HTTP API and MCP stdio interfaces.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/hs3b6olzr3)
- **Repository:** <https://github.com/Paddione/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": "paddione-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/paddione-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/paddione-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