Agent-MCP

3.1

research_and_data

If you are the rightful owner of Agent-MCP and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcphub.com.

Agent-MCP is a local MCP server-client agent designed to facilitate communication between a local MCP server and external platforms using the Model Context Protocol.

Agent-MCP is a local server-client setup that leverages the Model Context Protocol (MCP) to enable seamless interaction between local and external MCP servers. The local MCP server is designed to perform web searches using the Google SerpAPI, while the client can connect to both the local server and external MCP services like those provided by Simthery. The system is built to be flexible, allowing for the integration of different models and APIs, such as OpenAI's API, to enhance its capabilities. The setup is particularly useful for research and planning tasks, as it can handle complex queries and provide detailed insights into trending topics and technologies.

Features

Local MCP Server: Utilizes Google SerpAPI for web searches.
MCP Client: Connects to both local and external MCP servers.
Flexible API Integration: Supports OpenAI API for enhanced functionality.
Model Compatibility: Tested with Qwen2.5 and DeepSeek-V3 models.
Research and Planning: Includes custom agents for deep research and planning tasks.

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