Last updated
March 16, 2026
MCP profile
Github Abhishek2432001 Deeprepo
Productivity-boosting RAG engine for codebases with multi-provider AI support and semantic search.
AI & Machine LearningOpen SourceExternal
Visibility
Public
ByRegistry
About This MCP Server
Productivity-boosting RAG engine for codebases with multi-provider AI support and semantic search. This MCP server enables AI assistants like Claude to seamlessly interact with Github Abhishek2432001 Deeprepo, providing structured access to its functionality through the Model Context Protocol (MCP).
Key Capabilities:
- Manage repositories and version control operations
- Review and analyze code changes
- Automate code review and quality checks
- Track issues and project management
Common Use Cases:
- AI-assisted code review and analysis
- Automating repository management tasks
- Streamlining development workflows
- Tracking and managing project issues
How It Works: Github Abhishek2432001 Deeprepo integrates with AI coding assistants and chat interfaces through the standardized MCP protocol. Once configured, your AI assistant can directly invoke Github Abhishek2432001 Deeprepo's tools, enabling natural language interaction with its features without manual API calls or custom integrations.
Technical Details: Server type: MCP
Capabilities
Raw Python Implementation: No heavy frameworks (LangChain/LlamaIndex), no external Vector DBsMultiple AI Providers: Supports Ollama (local), HuggingFace, OpenAI, Anthropic, and GeminiMCP Server Support: Integrate with Cursor, Claude Desktop, Antigravity, and other MCP clientsDecorator-Based Plugin System: Easy provider registration and extensibilityVector Store: NumPy-powered cosine similarity with JSON persistenceRESTful API: FastAPI service for easy integrationDocker Ready: Full containerization for deployment
Tools & Endpoints1
Example Workflow
client = DeepRepoClient( embedding_provider_name="openai", llm_provider_name="anthropic"
Why Use Github Abhishek2432001 Deeprepo?
- Raw Python Implementation: No heavy frameworks (LangChain/LlamaIndex), no external Vector DBs
- Multiple AI Providers: Supports Ollama (local), HuggingFace, OpenAI, Anthropic, and Gemini
- MCP Server Support: Integrate with Cursor, Claude Desktop, Antigravity, and other MCP clients
- Decorator-Based Plugin System: Easy provider registration and extensibility
- Vector Store: NumPy-powered cosine similarity with JSON persistence
- RESTful API: FastAPI service for easy integration
- Docker Ready: Full containerization for deployment
Specifications
Status
live
Industry
AI & Machine Learning
Category
General
License
Open Source
Verified
Yes
API
Integrate this server into your application. Choose a connection method below.
1
Install
Install command
bash
pip install -e .2
Configure
Configuration
json
{
"mcpServers": {
"deeprepo": {
"command": "python",
"args": ["-m", "deeprepo.mcp.server"],
"env": {
"LLM_PROVIDER": "ollama"
}
}
}
}Performance
Usage
Quick Reference
- Name
- Github Abhishek2432001 Deeprepo
- Function
- Productivity-boosting RAG engine for codebases with multi-provider AI support and semantic search.
- Available Tools
- See deeprepo_core/src/deeprepo/mcp/README.md for detailed MCP configuration.
- Install
- pip install -e .
- Source
- External (Registry)
- License
- Open Source
Get started
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