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Destrayon/Connapse

by Various

Open-source, self-hosted knowledge backend for AI agents — hybrid search (vector + keyword), MCP server, 5 connectors, Docker-ready

D

MCP

Destrayon/Connapse

Added 1 June 2026

#ai #ai-agents #blazor #docker #document-management #dotnet #embeddings #generative-ai

Overview

Destrayon/Connapse is an open-source, self-hosted knowledge backend for AI agents. It provides hybrid search combining vector and keyword methods, includes an MCP server, and comes with five connectors. The project is Docker-ready and written in C#.

Best for

Best for
Developers seeking a lightweight, self-hosted knowledge backend for AI agents with hybrid search capabilities

Use cases

  • Deploy a self-hosted knowledge base for AI agents with hybrid search
  • Integrate with MCP-compatible agents for retrieval-augmented generation
  • Run a private document retrieval system using Docker

Notes

Destrayon/Connapse is an open-source, self-hosted knowledge backend for AI agents. It provides hybrid search combining vector and keyword methods, includes an MCP server, and comes with five connectors. The project is Docker-ready and written in C#.

13 stars on GitHub. Last updated 2026-05-30. Licensed MIT.

Use cases

  • Deploy a self-hosted knowledge base for AI agents with hybrid search
  • Integrate with MCP-compatible agents for retrieval-augmented generation
  • Run a private document retrieval system using Docker

Pros

  • Self-hosted ensures data privacy and control
  • Hybrid search (vector + keyword) improves retrieval accuracy
  • Docker-ready simplifies deployment and scaling

Cons

  • Very small community with only 13 GitHub stars, limited support
  • C# codebase may reduce contributor pool compared to Python or JavaScript
  • Unclear documentation and feature completeness given early-stage project

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Self-hosted ensures data privacy and control
  • Hybrid search (vector + keyword) improves retrieval accuracy
  • Docker-ready simplifies deployment and scaling

Cons

  • Very small community with only 13 GitHub stars, limited support
  • C# codebase may reduce contributor pool compared to Python or JavaScript
  • Unclear documentation and feature completeness given early-stage project

Pairs with

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