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Anthropic's official Claude AI desktop application. Supports MCP servers to extend functionality.
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tar-ive/grants-mcp
The Grants MCP Server is a Python-based MCP implementation using FastMCP that provides intelligent tools for discovering, analyzing, and tracking government grant opportunities. It offers multiple specialized tools for different aspects of grant research, from opportunity discovery to funding trend analysis and agency landscape mapping.
SIMPLER_GRANTS_API_KEYA Model Context Protocol (MCP) server for comprehensive government grants discovery and analysis, powered by the Simpler Grants API.
Grant Opportunity Discovery: Search and filter grants based on keywords, agencies, funding categories, and eligibility criteria
Funding Trend Analysis: Analyze historical funding patterns and identify emerging opportunities
Agency Landscape Mapping: Understand the grant ecosystem across different government agencies
Intelligent Caching: Built-in caching system to optimize API calls and improve response times
Comprehensive Grant Details: Access detailed information including funding amounts, deadlines, eligibility requirements, and contact information
Built with FastMCP for robust MCP server implementation
Asynchronous Python architecture for high performance
Dual Transport Support: stdio (local) and HTTP (containerized)
Docker Support: Ready-to-deploy containerized version
Configurable caching with TTL and size limits
opportunity_discovery
Search for grant opportunities with detailed analysis.
agency_landscape
Map agencies and their funding focus areas.
funding_trend_scanner
Analyze funding trends and patterns.
Details on this page are taken from the project's README. Open README
Clients mentioned in this server's README:

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