Generative AI tools provide server-side capabilities for local inference, retrieval-augmented generation (RAG), intelligent agents, and AI applications. These self-hosted solutions offer organizations control over AI models and data processing.
Most GenAI tools are web-based applications. See the web apps category for setup guides:
| Tool | Type | Primary Use Case | Setup Link |
|---|---|---|---|
| MCP Server | Protocol Server / Tool Adapter | Expose local tools, APIs, and data sources to MCP-compatible AI clients | Setup |
| MCP Filesystem Server | MCP Server Implementation | Expose local directories and files to MCP-compatible clients | Generic MCP Setup |
| MCP Fetch Server | MCP Server Implementation | Fetch and convert web content for MCP-compatible clients | Generic MCP Setup |
| MCP Git Server | MCP Server Implementation | Git repository tools for MCP-compatible clients | Generic MCP Setup |
| MCP Memory Server | MCP Server Implementation | Persistent memory / knowledge graph tools for AI clients | Generic MCP Setup |
| MCP Time Server | MCP Server Implementation | Time and timezone tools for MCP-compatible clients | Generic MCP Setup |
| MCP GitHub Server | MCP Server Implementation | Access GitHub repositories, issues, and PR workflows from AI clients | Generic MCP Setup |
| MCP PostgreSQL Server | MCP Server Implementation | Query PostgreSQL databases from MCP-compatible clients | Generic MCP Setup |
| MCP SQLite Server | MCP Server Implementation | Query local SQLite databases via MCP | Generic MCP Setup |
Any questions?
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