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You have REST APIs that work. Connecting them to AI agents means building an MCP server for each one. mcp-link takes an OpenAPI spec and instantly turns every endpoint into an AI tool. No spec? Generate one with AI first, then connect.

Basic RAG retrieves and answers, even when questions are vague or results are incomplete. `agentic-rag-for-dummies` uses LangGraph to clarify queries, retry searches, and parallelize complex questions across agents. Supports Ollama locally or Claude, GPT-4, and Gemini in the cloud.

Ask an AI to analyze geospatial data and it writes solid SQL — but numbers alone can't reveal geometric errors. GeoSQL closes the loop: the AI runs the query, renders the results as a map, reviews it visually, and self-corrects if something looks off. Fully on-premises, no SaaS account needed.