Gptr MCP Server

While LLM apps can access web search tools with MCP, **GPT Researcher MCP delivers deep research results.** Standard search tools return raw results

Local serverstdioPython

What is the Gptr MCP Server?

While LLM apps can access web search tools with MCP, GPT Researcher MCP delivers deep research results. Standard search tools return raw results requiring

What you get

  • ✨ Higher quality information
  • 📊 Optimized context usage
  • 🔎 Comprehensive results
  • 🧠 Better reasoning for LLMs

Configuration and credentials

Before running the MCP server, make sure you have: 1. Python 3.11 or higher installed - Important: GPT Researcher >=0.12.16 requires Python 3.11+ 2. API keys for the services you plan to use: - OpenAI API key - Tavily API key You can also connect any other web search engines or MCP using GPTR supported retrievers. Check out the

More MCP options

Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.

Maintainer setup documentation.

Recorded tools

Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.

ToolWhat it does
deep_researchPerforms deep web research on a topic, finding the most reliable and relevant information
quick_searchPerforms a fast web search optimized for speed over quality, returning search results with snippets. Supports any GPTR supported web retriever such as Tavily, Bing, Google, etc... Learn more [here](https://docs.gptr.dev/
write_reportGenerate a report based on research results
get_research_sourcesGet the sources used in the research
get_research_contextGet the full context of the research

How to install the Gptr MCP Server

{
  "mcpServers": {
    "gptr-mcp": {
      "command": "python",
      "args": [
        "/absolute/path/to/gpt-researcher/gptr-mcp/server.py"
      ],
      "env": {
        "OPENAI_API_KEY": "YOUR_OPENAI_API_KEY",
        "TAVILY_API_KEY": "YOUR_TAVILY_API_KEY"
      }
    }
  }
}

From the project documentation. Replace placeholders and example paths before connecting.

Configuration

Before running the MCP server, make sure you have: 1. Python 3.11 or higher installed - Important: GPT Researcher >=0.12.16 requires Python 3.11+ 2. API keys for the services you plan to use: - OpenAI API key - Tavily API key You can also connect any other web search engines or MCP using GPTR supported retrievers. Check out the

VariableDescriptionRequired
OPENAI_API_KEYDeclared in the maintainer’s client configuration.Check documentation
TAVILY_API_KEYDeclared in the maintainer’s client configuration.Check documentation

Example prompts to try

  • “Use Gptr MCP to deep research.”
  • “Use Gptr MCP to quick search.”
  • “Use Gptr MCP to write report.”

Frequently asked questions

While LLM apps can access web search tools with MCP, **GPT Researcher MCP delivers deep research results.** Standard search tools return raw results requiring Confirm the tools offered by your installed version in the connected client. Tool availability and permissions depend on the server and account configuration.