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gossiphs MCP Server

williamfzc/gossiphs

Score: 51.8 Rank #15753 MCP Server
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"Zero setup" & "Blazingly fast" general code file relationship analysis. With Python & Rust. Based on tree-sitter and git analysis. Support skill and ready for AI🤖

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Overview

williamfzc/gossiphs is a Rust tool licensed under Apache-2.0. "Zero setup" & "Blazingly fast" general code file relationship analysis. With Python & Rust. Based on tree-sitter and git analysis. Support skill and ready for AI🤖 Topics: code-analysis, code-navigation, sourcecode-analysis, codebase, graph, knowledge-graph, file-index, kge, python, mcp, lsp.

Ranked #15753 out of 24846 indexed tools.

Ecosystem

Rust Apache-2.0
code-analysiscode-navigationsourcecode-analysiscodebasegraphknowledge-graphfile-indexkgepythonmcplsp

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 101

101 stars → growing community

Freshness 25% 7mo ago

Last commit 7mo ago → stale

Issue Health 25% 83%

33/40 issues closed → responsive maintainer

Contributors 10% 2

2 contributors → solo project

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A
PyPI Downloads N/A
Forks 6
Description Detailed
License Apache-2.0

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

Freshness high impact

Last commit was 228 days ago — a recent commit would boost your freshness score

Dependents medium impact

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

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Matched Queries

topic:mcp

From the README

# Gossiphs = Gossip Graphs

> [!TIP]
> **AI-ready**: Use the [gossiphs skill](./skills/gossiphs/SKILL.md) to analyze code relationships in any AI assistant.
>
> Also available: [Python SDK](./py_wrapper/) and [MCP Server](./mcp/README.md)

"Zero setup" & "Blazingly fast" code file relationship analysis. Based on tree-sitter and git history.

## What's it

Gossiphs can analyze the history of commits and the relationships between variable declarations and references in your
codebase to obtain a relationship diagram of the code files.

It also allows developers to query the content declared in each file, thereby enabling free search for its references
throughout the entire codebase to achieve more complex analysis.

```mermaid
graph TD
    A[main.py] --- S1[func_main] --- B[module_a.py]
    A --- S2[Handler] --- C[module_b.py]
    B --- S3[func_util] --- D[utils.py]
    C --- S3[func_util] --- D
    A --- S4[func_init] --- E[module_c.py]
    E --- S5[process] --- F[module_d.py]
    E --- 
Read full README on GitHub →

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