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leann-dotnet MCP Server

d-german/leann-dotnet

Score: 55.1 Rank #20 Search & RAG
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LEANN .NET — A native .NET 10 MCP server for semantic code search. Chunks source repositories, computes embeddings via ONNX (GPU-accelerated), and serves results over the Model Context Protocol. Designed as a drop-in replacement for the Python LEANN pipeline.

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Overview

d-german/leann-dotnet is a C# MCP server licensed under MIT. LEANN .NET — A native .NET 10 MCP server for semantic code search. Chunks source repositories, computes embeddings via ONNX (GPU-accelerated), and serves results over the Model Context Protocol. Designed as a drop-in replacement for the Python LEANN pipeline.

Ranked #20 out of 100 indexed tools.

Actively maintained with commits in the last week.

Ecosystem

C# MIT

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 1

1 stars → early stage

Freshness 25% today

Last commit today → actively maintained

Issue Health 25% 50%

No issues filed → no history to score

Contributors 10% 1

1 contributor → solo project

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A
PyPI Downloads N/A
Forks 0
Description Detailed
License MIT

Weights: Freshness 25% · Issue Health 25% · Dependents 25% · Stars 15% · Contributors 10% · How we score →

How to Improve

Contributors medium impact

Single-contributor projects carry bus-factor risk — welcoming contributors boosts confidence

Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

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Matched Queries

"mcp server""mcp-server""model context protocol""model-context-protocol"

From the README

# LEANN .NET

A native .NET 10 MCP server for semantic code search. Chunks source repositories, computes embeddings via ONNX (GPU-accelerated), and serves results over the [Model Context Protocol](https://modelcontextprotocol.io/).

> **Ported from [LEANN](https://github.com/yichuan-w/LEANN)** by Yichuan Wang — an innovative Python-based vector
> database and MCP server for personal AI. The original project pioneered graph-based selective recomputation for
> ultra-compact vector indexes (97% less storage than traditional solutions) and supports indexing everything from
> codebases to emails to browser history — all locally with zero cloud costs. This .NET port focuses on the
> semantic code search and MCP server pipeline, rebuilt natively for Windows/macOS with GPU acceleration via
> ONNX Runtime.
### Why a .NET port?

The original LEANN requires Python, WSL (on Windows), PyTorch, and several other dependencies — a
significant setup burden, especially on corporate machines with limited
Read full README on GitHub →

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