AIBase
EN
Explore
Gossiphs
G

Gossiphs

Gossiphs is a zero-configuration, high-performance general code file relationship analysis tool that supports multiple programming languages. It is based on tree-sitter and git analysis, provides support for Python SDK and MCP protocol, and is convenient for integration with AI.
Developer toolsArtificial intelligence chatbots#Code analysis#Relationship graph#AI integration#Multi-language.Rust
2.5 points
9.6K
Open Site

Overview

Content Details

Alternatives

What is Gossiphs?

Gossiphs is a tool that automatically generates a code file relationship graph by analyzing code commit history and variable declaration reference relationships. It supports multiple programming languages and can be used without additional configuration.

How to use Gossiphs?

It can be quickly integrated into your project through a simple Python SDK or MCP protocol, supporting network relationship graph export and code reference query functions.

Use cases

Scenarios such as code impact analysis, project understanding, code navigation enhancement, and context building for AI programming assistants.

Main features

Multi-language support
Supports 8 mainstream programming languages such as Rust, Python, and TypeScript.
Zero configuration
No additional configuration is required, and it can be used out of the box.
MCP integration
Supports the Model Context Protocol and can be seamlessly integrated with AI models.
Commit history analysis
Utilizes Git commit history to optimize code relationship analysis.
Advantages
Most code repositories can be analyzed without complex configuration.
The cost of extending language support is low.
Commit history analysis improves relationship accuracy.
Multiple integration methods such as Python SDK and MCP protocol are provided.
Limitations
Static analysis cannot completely replace the accuracy of LSP.
Analysis of complex scenarios such as dynamic binding is limited.
Adding support for new languages requires adding rule files.

How to use

Installation
Install the Python package via pip.
Basic usage
Create an analysis graph and obtain file relationships.
Export the relationship graph
Export the analysis results as a network graph.

Usage examples

Code impact analysis
Analyze other files that may be affected by modifying a certain file.
Project understanding
Quickly understand the file organization structure of a new project.

Frequently asked questions

What's the difference between Gossiphs and LSP?
How to add support for a new language?
How accurate are the analysis results?

Related resources

GitHub repository
Project source code and latest updates.
Tree-Sitter
The syntax analysis framework used.
MCP protocol description
Detailed documentation of the Model Context Protocol.

Installation

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

Alternatives

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
6.9K
4.5 points
M
Moltbrain
MoltBrain is a long-term memory layer plugin designed for OpenClaw, MoltBook, and Claude Code, capable of automatically learning and recalling project context, providing intelligent search, observation recording, analysis statistics, and persistent storage functions.
TypeScript
6.9K
4.5 points
B
Bm.md
A feature-rich Markdown typesetting tool that supports multiple style themes and platform adaptation, providing real-time editing preview, image export, and API integration capabilities
TypeScript
5.1K
5 points
S
Security Detections MCP
Security Detections MCP is a server based on the Model Context Protocol that allows LLMs to query a unified security detection rule database covering Sigma, Splunk ESCU, Elastic, and KQL formats. The latest version 3.0 is upgraded to an autonomous detection engineering platform that can automatically extract TTPs from threat intelligence, analyze coverage gaps, generate SIEM-native format detection rules, run tests, and verify. The project includes over 71 tools, 11 pre-built workflow prompts, and a knowledge graph system, supporting multiple SIEM platforms.
TypeScript
5.7K
4 points
P
Paperbanana
Python
7.2K
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
7.4K
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
7.9K
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
7.0K
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
22.3K
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
26.5K
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
36.6K
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
75.6K
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#
33.5K
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
65.6K
4.5 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
21.6K
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
99.1K
4.7 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
English简体中文繁體中文にほんご
© 2026AIBase