Grantsonar is a read-only MCP server that searches verified-open US grants across federal, state, and foundation sources. It provides a structured Model Context Protocol interface for AI agents to query grant information. The server exposes a fixed toolset and accompanies a concise readme excerpt for quick onboarding.
🛠️ Key Features
- Read-only Model Context Protocol (MCP) implementation
- Searches verified-open US grants (federal, state, foundation)
- 9 tools available for MCP-based interactions
- Focused on grant data discovery and context provisioning
- Lightweight, query-driven access pattern
🚀 Use Cases
- AI agents retrieving grant opportunities
- Context provisioning for grant research workflows
- Verifiable grant metadata lookup for decision support
⚡ Developer Benefits
- Clear MCP surface for agents consuming grant data
- Self-contained server with defined toolCount
- Reduced integration boilerplate via standardized context model
⚠️ Limitations
- Read-only data access; no write or update capabilities
- Source data limited to verified-open US grants; scope may evolve