Gpt researcher

Skill SamyakJhaveri/loam/cultivation/marketplace/gpt-researcher/skills/gpt-researcher

Autonomous multi-source research agent with MCP server. Planner/executor architecture, 5 MCP tools. Requires 3 API keys (Tavily + Anthropic + embeddings). Research-flavor.From its SKILL.md

Install

npx -y skills add SamyakJhaveri/loam --skill gpt-researcher

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

0 stars0 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

SKILL.md

2.0 KB, 468 tokens by cl100k_base, as published. Nobody here has run it

gpt-researcher

Autonomous multi-source research agent with a planner/executor architecture. Gathers information from multiple sources in parallel.

Upstream: https://github.com/assafelovic/gpt-researcher MCP Server: https://github.com/assafelovic/gptr-mcp

MCP Server Setup

Add to your project's .mcp.json:

{
  "gpt-researcher": {
    "type": "stdio",
    "command": "uvx",
    "args": ["gptr-mcp"],
    "env": {
      "TAVILY_API_KEY": "<your-key>",
      "ANTHROPIC_API_KEY": "<your-key>",
      "FAST_LLM": "anthropic:<your-fast-model>",
      "SMART_LLM": "anthropic:<your-smart-model>"
    }
  }
}

Replace <your-fast-model> and <your-smart-model> with your preferred Claude model IDs before use.

MCP Tools

Tool	Purpose
`deep_research`	Full multi-source research on a topic
`quick_search`	Fast single-source lookup
`write_report`	Generate structured report from research
`get_research_sources`	List sources used in research
`get_research_context`	Retrieve accumulated research context

API Keys Required

TAVILY_API_KEY — search engine (required)
ANTHROPIC_API_KEY — LLM provider (required)
Embedding provider key — for semantic search (required)

How It Complements Loam

/researcher — quick single-pass web research
GPT-Researcher — autonomous multi-source deep research with structured reports

Requirements

Python 3.11+
Three API keys minimum
MCP server is from separate repo (gptr-mcp), early-stage

Notes

Apache-2.0 license
Originally OpenAI-focused, but has native Anthropic provider support
MCP server is early-stage (separate repo) — expect rough edges
Per-invocation cost varies by research depth

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.