gossiphs_mcp

gossiphs wrapper for Model Context Protocol (MCP)

Goal

The goal is to expose gossiphs' code analysis capabilities in a simple way (MCP). It can quickly analyze code relationship graphs without the need to start an LSP, providing more contextual input for AI analysis without requiring any additional configuration.

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 --- S6[Processor] --- H[module_e.py]
    H --- S7[transform] --- I[module_f.py]
    I --- S3[func_util] --- D

Installation

Install with pipx:

pipx install gossiphs-mcp

Start an MCP server:

# stdio by default
gossiphs-mcp server

# using SSE
gossiphs-mcp server --transport=sse

Usage

Using cursor as an example. Of course, other clients can also be used.

First, configure the server:

Then, when needed, cursor can automatically call gossiphs to analyze the impact scope of files and collaborate with other tools!