Code Context MCP
C

Code Context MCP

A code context service based on local Git repositories, providing code semantic search and embedding generation functions
2.5 points
10.4K

What is the Code Context MCP Server?

The Code Context MCP Server is a powerful tool that allows you to clone local Git repositories, process code files, generate code embedding vectors, and quickly find the information you need through semantic search.

How to use the Code Context MCP Server?

First, install the dependencies and configure the environment variables, then run the server. You can use the provided query tool to search for code snippets.

Applicable Scenarios

It is suitable for scenarios where developers need to efficiently find code snippets, refactor code, and quickly locate requirements in large projects.

Main Features

Local Git Repository Cloning
Supports pulling code directly from local Git repositories and processing it.
Code Snippet Embedding Generation
Splits code into semantic units and generates corresponding embedding vectors.
Semantic Search
Quickly finds the code snippets most relevant to the query through semantic search.
File Pattern Filtering
Can optimize the search scope by file type or excluding specific directories.
Advantages
No need to rely on the GitHub API, completely based on local data.
Supports custom embedding models to improve search efficiency.
Easy to integrate into existing development processes.
Limitations
It may take a long initialization time for large repositories.
Requires installing additional dependencies (such as Node.js and Ollama).

How to Use

Install Dependencies
Ensure that Node.js v16 or higher is installed, and install all dependencies via npm.
Configure Environment Variables
Set DATA_DIR and REPO_CACHE_DIR to specify the database and cache directories.
Start the Server
Run the built script to start the MCP server.

Usage Examples

Clone and Search Code
Clone a GitHub repository and search for code snippets in it.
Filter Specific Types of Files
Search only for relevant content in JavaScript files.

Frequently Asked Questions

How to solve the architecture incompatibility problem encountered during installation?
How to test if the Ollama model is working properly?

Related Resources

Official Documentation
Detailed installation guides and technical documentation.
GitHub Code Repository
Open-source code repository.
Ollama Official Website
Learn how to use Ollama for embedding generation.

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

A
Airweave
Airweave is an open - source context retrieval layer for AI agents and RAG systems. It connects and synchronizes data from various applications, tools, and databases, and provides relevant, real - time, multi - source contextual information to AI agents through a unified search interface.
Python
6.1K
5 points
V
Vestige
Vestige is an AI memory engine based on cognitive science. By implementing 29 neuroscience modules such as prediction error gating, FSRS - 6 spaced repetition, and memory dreaming, it provides long - term memory capabilities for AI. It includes a 3D visualization dashboard and 21 MCP tools, runs completely locally, and does not require the cloud.
Rust
5.6K
4.5 points
B
Better Icons
An MCP server and CLI tool that provides search and retrieval of over 200,000 icons, supports more than 150 icon libraries, and helps AI assistants and developers quickly obtain and use icons.
TypeScript
6.7K
4.5 points
A
Assistant Ui
assistant - ui is an open - source TypeScript/React library for quickly building production - grade AI chat interfaces, providing composable UI components, streaming responses, accessibility, etc., and supporting multiple AI backends and models.
TypeScript
6.4K
5 points
A
Apify MCP Server
The Apify MCP Server is a tool based on the Model Context Protocol (MCP) that allows AI assistants to extract data from websites such as social media, search engines, and e-commerce through thousands of ready-to-use crawlers, scrapers, and automation tools (Apify Actors). It supports OAuth and Skyfire proxy payment and can be integrated into MCP clients such as Claude and VS Code through HTTPS endpoints or local stdio.
TypeScript
7.6K
5 points
R
Rsdoctor
Rsdoctor is a build analysis tool specifically designed for the Rspack ecosystem, fully compatible with webpack. It provides visual build analysis, multi - dimensional performance diagnosis, and intelligent optimization suggestions to help developers improve build efficiency and engineering quality.
TypeScript
10.5K
5 points
N
Next Devtools MCP
The Next.js development tools MCP server provides Next.js development tools and utilities for AI programming assistants such as Claude and Cursor, including runtime diagnostics, development automation, and document access functions.
TypeScript
10.8K
5 points
T
Testkube
Testkube is a test orchestration and execution framework for cloud-native applications, providing a unified platform to define, run, and analyze tests. It supports existing testing tools and Kubernetes infrastructure.
Go
7.6K
5 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
20.4K
4.5 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
25.5K
4.3 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
35.4K
5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
72.2K
4.3 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
32.2K
5 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
65.5K
4.5 points
C
Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
97.1K
4.7 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
22.1K
4.5 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase