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Self-host and index docs and code for unified MCP-powered retrieval.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "ContextMine" yet — see the docs or source repo.
Use ContextMine to search the repository for the controller, service layer, and route definitions related to the user login API, then summarize the call chain.
A list of relevant code locations and files, plus a summary of the login API implementation flow.
Use ContextMine to find all internal documentation about vector database deployment, then compile the setup steps, dependencies, and common issues.
A summary of relevant documents, including a deployment checklist and key troubleshooting points.
Based on the code and documentation indexed in ContextMine, create a project onboarding guide for a new backend engineer covering the folder structure, core modules, and development workflow.
A structured onboarding guide that helps a new engineer quickly understand the project and workflow.
Search, read, and automate TextMine documents, records, and workflows.
Search official library docs and return clean text ready for LLM use.
Parse PDFs, images, and Office files into reusable Markdown content.
Build semantic indexes for codebases to find relevant code with natural language queries.
Index codebases so AI can fetch precise snippets instead of entire files.
Incrementally index repos and documents, then run semantic search over them.