# Deep Research MCP

> Use this tool when you need to automate in-depth research tasks by integrating multiple research providers with Claude Code via the Model Context Protocol. It solves problems of manual research, data gathering, and analysis by providing automated access to various research sources. The Deep Research MCP agent takes in research queries and outputs comprehensive findings, making it ideal for use cases that require efficient and thorough information gathering.

Canonical page: https://skillsregistry.net/skills/pminervini-deep-research-mcp  
JSON: https://api.skillsregistry.net/v1/skills/pminervini-deep-research-mcp

## Description

A Python-based agent that integrates research providers (OpenAI, Gemini, DR-Tulu, Open Deep Research) with Claude Code via the Model Context Protocol for automated deep research.

## Trust

- **Trust score (0–1):** 0.54
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/yxh7unhuy6)
- **Repository:** <https://github.com/pminervini/deep-research-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": "pminervini-deep-research-mcp"
    }
  }
}
```

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