by sisig-ai · MCP Server · ★ 463
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🩺 Doctor A tool for discovering, crawl, and indexing web sites to be exposed as an MCP server for LLM agents for better and more up-to-date reasoning and code generation. 🔍 Overview Doctor provides a complete stack for: Crawling web pages using crawl4ai with hierarchy tracking Chunking text with LangChain Creating embeddings with OpenAI via litellm Storing data in DuckDB with vector search support Exposing search functionality via a FastAPI web service Making these capabilities available to LLMs through an MCP server Navigating crawled sites with hierarchical site maps 🏗️ Core Infrastructure 🗄️ DuckDB Database for storing document data and embeddings with vector search capabilities Managed by unified Database c
| Stars | 463 |
| Forks | 65 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 66.4831279179875/100 |
| Open Issues | 9 |
| Last Updated | 2025-05-24 |
| Created | 2025-05-03 |
| Platforms | browser, mcp, python |
| Est. Tokens | ~111k |
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doctor is Doctor is a tool for discovering, crawl, and indexing web sites to be exposed as an MCP server for LLM agents.. It is categorized as a MCP Server with 463 GitHub stars.
doctor is primarily written in Python.
You can find installation instructions and usage details in the doctor GitHub repository at github.com/sisig-ai/doctor. The project has 463 stars and 65 forks, indicating an active community.
doctor is released under the MIT license, making it free to use and modify according to the license terms.