Deeprepo
Index your repo with Deeprepo RAG and semantic search so agents answer codebase questions with multi-provider AI backing.
Overview
Deeprepo is a Build-phase MCP server that exposes a codebase RAG engine with semantic search and multi-provider AI for coding agents.
What is this MCP server?
- RAG engine tuned for codebases
- Semantic search across repository knowledge
- Multi-provider AI support
- MCP server entry version 1.0.0 on GitHub deeprepo
- Catalog version 1.0.0
- Source repository: github.com/abhishek2432001/deeprepo
What problem does it solve?
Large repos do not fit in one chat, so agents hallucinate APIs and miss where logic actually lives.
Who is it for?
Solo builders on mature repos who want MCP-native RAG without building embeddings pipelines themselves.
Skip if: Greenfield hello-world repos or teams that only need occasional single-file explanations without indexing setup.
What do I get? / Deliverables
After you connect Deeprepo MCP to your project, agents query semantic retrieval over the codebase instead of relying on truncated file dumps.
- MCP-connected semantic search over project code
- RAG-backed answers for agent-driven implementation tasks
- Multi-provider AI routing as supported by Deeprepo
Recommended MCP Servers
Journey fit
How it compares
Codebase RAG MCP integration, not a team note memory product or Airflow orchestration tool.
Common Questions / FAQ
Who is Deeprepo for?
Developers shipping with AI agents who need semantic search and RAG grounded in their own repository.
When should I use Deeprepo?
Use it during Build when refactors, onboarding the agent, or feature work require accurate, repo-wide context retrieval.
How do I add Deeprepo to my agent?
Follow the deeprepo GitHub repository install instructions and register the MCP server in your Claude Code or Cursor MCP configuration.