pearl_mcp_server
The Pearl MCP Server is an implementation of a Model Context Protocol (MCP) server that exposes Pearl's AI and expert services through a standardized interface. This server allows MCP clients to interact with Pearl's advanced AI assistants and human experts. It features multiple interaction modes, session management, and conversation history tracking, enabling users to leverage quick automated responses or AI-assisted human expert support.
GitHub Stars
5
User Rating
Not Rated
Favorites
0
Views
34
Forks
1
Issues
1
Reviews & Ratings
No reviews yet
No reviews yet
Be the first to review this MCP and help others with useful information!
Write the first reviewThe Prospectio MCP API is a FastAPI-based application designed for lead prospecting, implementing the Model Context Protocol (MCP). It adheres to Clean Architecture principles, ensuring a clear separation of concerns across domain, application, and infrastructure layers. The project focuses on core business entities and logic, along with use cases and API routes, facilitating integration with external services.
This MCP server is a tool for retrieving agricultural production data via the USDA NASS API. It allows users to obtain datasets based on specific commodities, locations, and times, as well as count the number of records. Access to the data can be obtained by requesting an API key.