Gossiphs

Created By
williamfzca year ago
"Zero setup" & "Blazingly fast" general code file relationship analysis. With Python & Rust. Based on tree-sitter and git analysis. Support MCP and ready for AI🤖
Overview

What is Gossiphs?

Gossiphs is a tool for general code file relationship analysis that requires zero setup and is designed to be blazingly fast. It utilizes Python and Rust, based on tree-sitter and git analysis, to analyze the history of commits and the relationships between variable declarations and references in codebases.

How to use Gossiphs?

To use Gossiphs, install it via pip with the command pip install gossiphs, and then you can analyze your codebase using a simple Python script that creates a graph of file relationships.

Key features of Gossiphs?

  • Zero setup required for analysis
  • Fast and efficient code file relationship analysis
  • Support for multiple programming languages including Python, Rust, TypeScript, and more
  • Ability to query content declared in files and search for references throughout the codebase

Use cases of Gossiphs?

  1. Analyzing code dependencies in large projects
  2. Visualizing relationships between different modules in a codebase
  3. Assisting in code navigation and understanding during development

FAQ from Gossiphs?

  • What languages does Gossiphs support?

Gossiphs currently supports Rust, Python, TypeScript, JavaScript, Golang, Java, Kotlin, and Swift.

  • Is Gossiphs free to use?

Yes! Gossiphs is open-source and free to use.

  • How accurate is the analysis provided by Gossiphs?

While Gossiphs aims for acceptable accuracy, it may not achieve the precision of more complex static analysis tools, but it provides sufficient accuracy for most practical applications.

Server Config

{
  "mcpServers": {
    "gossiphs": {
      "url": "http://127.0.0.1:8000/sse"
    },
    "gossiph-cmd": {
      "command": "gossiphs-mcp",
      "args": [
        "server"
      ]
    }
  }
}
Project Info
Created At
a year ago
Updated At
a year ago
Author Name
williamfzc
Star
-
Language
-
License
-

Recommend Servers

View All
Bring your real authenticated browser session to AI coding agents. Local-first MCP server + Chrome MV3 extension. No cloud. No telemetry.
@Cubenest

peek records the user's actual logged-in browser (DOM via rrweb, console events, network metadata, optional response bodies via opt-in Deep capture) through a Chrome MV3 extension. The extension ships events through a native-messaging stdio bridge to a local MCP server (peek-mcp), which persists them to a SQLite database at ~/.peek/sessions.db. AI coding agents (Claude Code, Cursor, Cline, Windsurf) read sessions from the database via 10 MCP tools: Tool What it does list_recent_sessions List recently recorded sessions (id, origin, ts, event count). get_session_summary LLM-readable narrative summary of a session. get_session_console_errors Console errors recorded in a session. get_session_network_errors Failed/notable network requests in a session. get_user_action_before_error Last N user actions before a console error. generate_playwright_repro Generate a runnable Playwright test from a session. get_dom_snapshot Reconstruct the DOM at a given timestamp. query_dom_history Timeline of attribute/text changes for a selector. request_authorization Side-panel consent for write actions (Level 3). execute_action Dispatch a UI action (gated by permission level + destructive blocklist). Why local-first matters Every other "browser session for AI" tool ships to a vendor cloud. peek's SQLite + extension live on the user's machine — no remote endpoints, no telemetry. The privacy policy (docs/peek/PRIVACY_POLICY.md) is the source of truth. Install # 1. Add the MCP server to Claude Code claude mcp add peek -- npx -y @peekdev/mcp # 2. Install the Chrome extension from the Chrome Web Store # (link added once the CWS listing is approved)

a day ago