ResearchMCP
Multi-Search API Aggregator Server built with Deno + Hono
What is ResearchMCP?
what is ResearchMCP? ResearchMCP is a research tool that combines Model Context Protocol (MCP) and Brave Search to provide research functionality similar to ChatGPT's DeepResearch. how to use ResearchMCP? To use ResearchMCP, set up the environment by installing Deno, cloning the repository, and configuring the necessary environment variables. You can run the application locally or in a Docker container. key features of ResearchMCP? Integration with Brave Search for enhanced research capabilities Support for both local and Docker-based development environments Hybrid development approach allowing flexibility in coding and testing use cases of ResearchMCP? Conducting in-depth research using the enhanced analysis endpoint. Utilizing the standard MCP endpoint for basic search functionalities. Analyzing and summarizing search results with Claude API integration. FAQ from ResearchMCP? What is the primary purpose of ResearchMCP? ResearchMCP aims to provide a robust research tool that leverages MCP and Brave Search for effective information retrieval and analysis. Is ResearchMCP easy to set up? Yes! The setup process is straightforward, with detailed instructions provided in the documentation. Can I run ResearchMCP in a Docker container? Yes! ResearchMCP supports Docker for consistent development environments.
As an MCP (Model Context Protocol) server, ResearchMCP enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.
How to use ResearchMCP
To use ResearchMCP, set up the environment by installing Deno, cloning the repository, and configuring the necessary environment variables. You can run the application locally or in a Docker container. key features of ResearchMCP? Integration with Brave Search for enhanced research capabilities Support for both local and Docker-based development environments Hybrid development approach allowing flexibility in coding and testing use cases of ResearchMCP? Conducting in-depth research using the enhanced analysis endpoint. Utilizing the standard MCP endpoint for basic search functionalities. Analyzing and summarizing search results with Claude API integration. FAQ from ResearchMCP? What is the primary purpose of ResearchMCP? ResearchMCP aims to provide a robust research tool that leverages MCP and Brave Search for effective information retrieval and analysis. Is ResearchMCP easy to set up? Yes! The setup process is straightforward, with detailed instructions provided in the documentation. Can I run ResearchMCP in a Docker container? Yes! ResearchMCP supports Docker for consistent development environments.
Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.
Use Cases for this MCP Server
- No use cases specified.
MCP servers like ResearchMCP can be used with various AI models including Claude and other language models to extend their capabilities through the Model Context Protocol.
About Model Context Protocol (MCP)
The Model Context Protocol (MCP) is a standardized way for AI agents to communicate with various services and tools. MCP servers like ResearchMCP provide specific capabilities that can be accessed through a consistent interface, making it easier to build powerful AI applications with complex workflows.
Browse the MCP Directory to discover more servers and clients that can enhance your AI agents' capabilities.