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Fossil MCP Server

@yfedoseev

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作者

yfedoseev

投稿者

Yury Fedoseev

Fossil MCP Server について

The code quality toolkit for the vibe coding era.

Fossil MCP Server の設定

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Fossil MCP Server のツール

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ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is Fossil Mcp?

Fossil Mcp is a static analysis toolkit purpose-built for projects that use AI-assisted “vibe coding” workflows. It detects dead code, duplicated logic, scaffolding artifacts (like placeholder TODOs and phase comments), and temporary files left behind by AI agents, and it builds a code graph so both developers and AI tools can trace how functions connect. It can run as a standalone CLI, an interactive REPL, a CI/CD check, or a Model Context Protocol (MCP) server that lets AI agents self-check their output.

How to use Fossil Mcp?

Install via the quick install script at fossil‑mcp.com/install.sh (macOS/Linux) or the PowerShell one‑liner for Windows, or download a pre‑built binary from GitHub Releases. Run fossil-mcp with no arguments to scan the current directory and enter the interactive REPL, or use subcommands like fossil-mcp check for CI/CD. To use it as an MCP server, add fossil-mcp (with no arguments) as a command in your AI coding tool’s MCP configuration (e.g., Claude Code, Cursor, VS Code, Windsurf).

Key features of Fossil Mcp

  • Detects unreachable functions, unused exports, and orphaned methods.
  • Finds code clones (exact, renamed, and structural duplicates).
  • Identifies scaffolding artifacts: phase/step comments, TODO/FIXME markers, placeholder bodies.
  • Locates temp and backup files (temp_*, backup_*, old_*, phase_*).
  • Builds a call graph for tracing, blast radius, and code path analysis.
  • Single binary written in Rust, zero configuration, framework‑aware.

Use cases of Fossil Mcp

  • Clean up dead functions left behind after an AI refactoring pass.
  • Discover structurally similar utility functions scattered across modules.
  • Remove stale TODO, “Phase 1”, and placeholder markers accumulated over multiple AI sessions.
  • Audit a codebase for temporary files created by AI tools.
  • Let an AI agent inspect the call graph and blast radius before proposing a refactoring.

よくある質問

1

What makes Fossil Mcp different from a traditional linter?

Fossil Mcp is not a general linter — it specifically targets dead code, structural duplication, scaffolding artifacts, and temp files that accumulate when AI writes most of the code and humans review less. It also provides a code graph (not just text search) so agents can trace how functions connect.

2

Does Fossil Mcp require any configuration?

No. It works out of the box with zero configuration. A configuration file is optional if you need custom thresholds or exclusions.

3

How does Fossil Mcp integrate with AI coding tools?

Fossil runs as an MCP server by default. You add `fossil-mcp` as a command in your tool’s MCP configuration (e.g., Claude Code, Cursor, VS Code, Windsurf). Once connected, the AI agent gets tools like `scan_all`, `analyze_dead_code`, `detect_clones`, and `fossil_trace`.

4

What languages does Fossil Mcp support?

Sixteen languages are supported across polyglot codebases. The README mentions framework awareness for React, Next.js, Django, Spring, and Axum, among others.

5

How do I install Fossil Mcp on Windows?

Run the following in PowerShell: `irm fossil-mcp.com/install.ps1 | iex`. Alternatively, download the Windows x86_64 binary from GitHub Releases and add it to your PATH.

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