%20--%3e%3cdefs%3e%3cstyle%3e%20.st0%20{%20fill:%20%23061b40;%20}%20.st1%20{%20fill:%20%23306af1;%20}%20.st2%20{%20fill:%20%235ce5cf;%20}%20%3c/style%3e%3c/defs%3e%3cg%3e%3cpath%20class='st0'%20d='M55,10.5h9v3h-9v9h12V7.5h-12v3ZM64,19.5h-6v-3h6v3Z'/%3e%3cpolygon%20class='st0'%20points='69%2016.5%2078%2016.5%2078%2019.5%2069%2019.5%2069%2022.5%2081%2022.5%2081%2013.5%2072%2013.5%2072%2010.5%2081%2010.5%2081%207.5%2069%207.5%2069%2016.5'/%3e%3cpolygon%20class='st0'%20points='95%2010.5%2095%207.5%2083%207.5%2083%2022.5%2095%2022.5%2095%2019.5%2086%2019.5%2086%2016.5%2095%2016.5%2095%2013.5%2086%2013.5%2086%2010.5%2095%2010.5'/%3e%3cpath%20class='st0'%20d='M40,1.5v21h11.6l1.4-1.4v-7.6h0c0,0-1.4-1.5-1.4-1.5l1.4-1.4V2.9l-1.4-1.4h-11.6ZM50,19.5h-7v-6h7v6ZM50,10.5h-7v-6h7v6Z'/%3e%3c/g%3e%3cpath%20class='st1'%20d='M23.1,24L14.7,4.8l-4.9,11.2h3.8l-1.8,4H3.3L12.1,0H2C.9,0,0,.9,0,2v20c0,1.1.9,2,2,2h21.1Z'/%3e%3cpath%20class='st2'%20d='M34,0h-16.8l10.6,24h6.2c1.1,0,2-.9,2-2V2C36,.9,35.1,0,34,0ZM32.5,20h-4V4h4v16Z'/%3e%3c/svg%3e)
Gptr MCP
The GPT Researcher MCP Server is an AI research server based on the MCP protocol. It can provide high-quality and optimized research results for LLM applications through in-depth web search and verification.
rating : 3 points
downloads : 121
What is GPT Researcher MCP?
GPT Researcher MCP is a tool based on large language models (LLMs). It provides you with the most reliable, relevant, and up-to-date research results by conducting in-depth research and verifying information from multiple sources.How to use GPT Researcher MCP?
You can start using it in just a few steps: install the dependencies, set up the API key, and start the server. Then, you can easily integrate it into other applications.Use cases
It is suitable for tasks that require in-depth research, such as investment analysis, market research, and academic research.Main features
Deep researchAutomatically explore and verify multiple sources, focusing on relevant information.
Quick searchA fast web search with optimized speed, supporting multiple search engines.
Generate reportsAutomatically generate reports based on research results.
Get research sourcesView the sources of materials used in the research process.
Get research contextObtain the complete background information of the research.
Advantages and limitations
Advantages
Provide higher-quality information
Optimize the use of context
Comprehensive research results
Better reasoning ability
Limitations
Slightly slower than standard search (about 30 seconds of waiting time)
Requires correct API key configuration
How to use
Clone the code repository
Run the following command to clone the GPT Researcher MCP server code:
```bash
git clone https://github.com/assafelovic/gpt-researcher.git
```
%20--%3e%3cdefs%3e%3cstyle%3e%20.st0%20{%20fill:%20%230080ff;%20}%20%3c/style%3e%3c/defs%3e%3cpath%20class='st0'%20d='M16.2,11.1c.4.5.4,1.2,0,1.8l-4.7,7.1h-3.8l5.3-8L7.6,4h3.8l4.7,7.1Z'/%3e%3c/svg%3e)
Install dependencies
After entering the project directory, run the following command to install the dependencies:
```bash
pip install -r requirements.txt
```
Configure environment variables
Copy the .env.example file and add your API key:
```bash
cp .env.example .env
```
Start the server
Run the Python script directly or use the MCP CLI command to start the server.
```bash
python server.py
```
Usage examples
Case title: Research the current status of NVIDIASimulate a user's request to research the current status of NVIDIA.
Case title: Get a summary of technology newsSimulate a user's request to get a summary of the latest technology news.
Frequently Asked Questions
How to install the GPT Researcher MCP server?
Why is my search result slow?
Which API keys are required?
Related resources
Official documentation
Detailed installation and usage guides.
GitHub repository
Source code and contribution guidelines.
Community Discord
Join the discussion and get support.
Featured MCP Services
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
1.7K
5 points
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
823
4.3 points
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
79
4.3 points
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
130
4.5 points
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
554
5 points
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
6.6K
4.5 points
Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
5.2K
4.7 points
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
745
4.8 points