# QuantConnect PDF MCP Server

> Use this tool when you need to efficiently search and retrieve specific information from QuantConnect documentation, converting PDFs into searchable markdown for context-aware searches with TF-IDF scoring. It solves problems of manual document searching and information retrieval, providing outputs of relevant search results and full document content. Ideal for use cases where quick access to specific documentation is required, such as troubleshooting or research.

Canonical page: https://skillsregistry.net/skills/lhstorm-mcp-server-quantconnect-docs  
JSON: https://api.skillsregistry.net/v1/skills/lhstorm-mcp-server-quantconnect-docs

## Description

An MCP server that enables intelligent search and retrieval of QuantConnect documentation by converting PDFs into searchable markdown. It provides tools for context-aware search with TF-IDF scoring and allows for listing and retrieving full document content.

## Trust

- **Trust score (0–1):** 0.88
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/z045ihfm4p)
- **Repository:** <https://github.com/lhstorm/mcp_server_quantconnect_docs>

## 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": "lhstorm-mcp-server-quantconnect-docs"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/lhstorm-mcp-server-quantconnect-docs` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/lhstorm-mcp-server-quantconnect-docs/pull`

---
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
