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DevInsight MCP

License: MIT PyPI Python 3.10+ MCP Tests

A lightweight Model Context Protocol (MCP) server that gives Claude the ability to inspect, analyze, and grade local Git repositories.

Built with Anthropic's official Python MCP SDK, DevInsight demonstrates all three MCP primitives — Tools, Resources, and Prompts — through practical developer workflows: language stats, TODO tracking, git history, large-file detection, an overall repo health score, and technology-stack fingerprinting.


Demo

DevInsight demo

A live session driving the DevInsight tools against this very repository — repo stats, TODO scan, and large-file detection.


Related MCP server: MCP Git Explorer

✨ Features

  • 📊 Repository statistics — languages, file counts, line counts

  • 📝 Scan projects for TODO, FIXME, HACK, and XXX

  • 📜 Summarize recent Git commits (author, date, message, +/- lines)

  • 📁 Detect oversized source files that are due for a refactor

  • 🩺 Score overall repository health (README/LICENSE/tests/git, TODO density, file size) with concrete recommendations

  • 🧰 Fingerprint a project's tech stack — languages, frameworks, databases, package managers, CI/CD, deployment

  • 🌳 Browse repositories through an MCP Resource

  • 🤖 Review and prioritize TODOs using an MCP Prompt

Scanning automatically skips noise: .git, .github, node_modules, virtualenvs, build/cache directories, lock files, and binary assets — see Repository Scanning below.


Why DevInsight?

Developers spend a surprising amount of time manually inspecting repositories:

  • searching for TODOs

  • checking Git history

  • counting files

  • finding oversized modules

  • judging whether a project is in good shape before diving in

DevInsight exposes these tasks as MCP tools so Claude can perform them for you, directly in conversation.

Instead of manually searching your project, you can simply ask:

"Summarize the last 10 commits."

"Find every TODO and tell me which ones are most important."

"Which files are becoming too large?"

"How healthy is this repo, and what should I fix first?"

"What's the tech stack of this project?"


Installation

Install from PyPI (easiest)

pip install devinsight-mcp
devinsight-mcp        # runs the server over stdio

Or run it without installing, using uv:

uvx devinsight-mcp

From source (development)

Clone the repository

git clone https://github.com/AzalHoseinian/devinsight-mcp.git
cd devinsight-mcp

Create a virtual environment

python3 -m venv .venv
source .venv/bin/activate

Windows:

.venv\Scripts\activate

Install dependencies

pip install -r requirements.txt

Run the tests

pip install pytest
python -m pytest -q

Try it with the MCP Inspector

The easiest way to test the server standalone is with the official MCP Inspector:

mcp dev server.py

The Inspector lets you invoke every Tool, inspect Resources, test Prompts, and debug raw responses — all in the browser, no client app required.


Claude Desktop Setup

Add DevInsight to your claude_desktop_config.json:

  • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json

  • Windows: %APPDATA%\Claude\claude_desktop_config.json

Easiest (uses uvx):

{
  "mcpServers": {
    "devinsight": {
      "command": "uvx",
      "args": ["devinsight-mcp"]
    }
  }
}

From a clone:

{
  "mcpServers": {
    "devinsight": {
      "command": "/absolute/path/to/devinsight-mcp/.venv/bin/python3",
      "args": [
        "/absolute/path/to/devinsight-mcp/server.py"
      ]
    }
  }
}

If you installed the command with pip install . or pip install devinsight-mcp, you can point Claude Desktop at it instead:

{
  "mcpServers": {
    "devinsight": {
      "command": "/absolute/path/to/devinsight-mcp/.venv/bin/devinsight-mcp"
    }
  }
}

Using the virtual environment's Python interpreter (rather than a bare python) ensures Claude Desktop finds the mcp package regardless of what's active in your shell.

Fully quit and reopen Claude Desktop afterwards — it only reads this file on startup. Then try:

Use repo_stats on ~/projects/my-app

or

Review all TODOs in this repository.


Security notes

DevInsight is read-only: it never writes, deletes or executes anything from the repositories it scans. The only external command it runs is git log with a fixed argument list.

It can, however, read any path you give it that your user account can read, so only connect it to clients you trust. It does not follow symlinked directories when drawing the tree, and it skips lock files and binaries in statistics.


Available Tools

Primitive

Name

Purpose

Tool

repo_stats

Language and line-count breakdown

Tool

find_todos

Find TODO / FIXME / HACK / XXX comments

Tool

git_log_summary

Summarize recent Git activity

Tool

find_large_files

Detect files exceeding a configurable size

Tool

repo_health

Overall 0-100 health score with recommendations

Tool

tech_stack

Detect languages, frameworks, databases, package managers, CI/CD, deployment

Resource

repo://tree/{path}

Render the repository tree

Prompt

review_todos

Ask Claude to prioritize TODOs

Usage examples

repo_stats(path="~/projects/my-app")
→ { "total_files": 142, "total_lines": 18734,
    "by_extension": { ".ts": {...}, ".tsx": {...}, ... } }

find_todos(path=".", max_results=50)
→ [ { "file": "src/api.ts", "line_number": 42,
      "tag": "TODO", "text": "handle retry backoff" }, ... ]

git_log_summary(path=".", count=5)
→ { "commits": [ { "hash": "a1b2c3d4", "author": "...", 
      "date": "2026-07-10", "message": "...", 
      "insertions": 12, "deletions": 3 }, ... ] }

find_large_files(path=".", threshold_lines=300)
→ [ { "file": "src/legacy/parser.py", "lines": 812 }, ... ]

repo_health(path=".")
→ { "score": 78,
    "checks": { "has_git": true, "has_readme": true,
                "has_license": true, "has_tests": false },
    "recommendations": [ "Add a test suite ..." ] }

tech_stack(path=".")
→ { "languages": ["Python"], "frameworks": ["FastAPI"],
    "databases": ["PostgreSQL"], "package_managers": ["pip"],
    "ci_cd": ["GitHub Actions"], "deployment": ["Docker"] }

Repository Scanning

Statistics tools (repo_stats, find_todos, find_large_files, repo_health) walk the repo while pruning directories as they go — ignored subtrees are never descended into.

Ignored directories: .git, .github, node_modules, venv, .venv, env, __pycache__, dist, build, .next, .nuxt, .svelte-kit, .idea, .vscode, target, coverage, htmlcov, .pytest_cache, .mypy_cache, .cache

Excluded from statistics: lock files (package-lock.json, pnpm-lock.yaml, yarn.lock, poetry.lock, Cargo.lock, Gemfile.lock, composer.lock, uv.lock, bun.lockb) and binary assets (.png, .jpg, .jpeg, .gif, .pdf, .zip, .exe, .dll) — these are real project content, but noise in line/size stats.

tech_stack looks at these same files directly, since a lock file's mere presence is a useful package-manager signal.


Architecture

               Claude Desktop
                      │
                      ▼
             DevInsight MCP Server
                      │
      ┌───────────────┼───────────────┐
      ▼               ▼               ▼
 Git Repository   File System     Git History

Project Structure

devinsight-mcp/
├── devinsight_mcp.py      # implementation (installed as the `devinsight-mcp` command)
├── server.py              # thin launcher for `mcp dev server.py`
├── tests/
├── .github/workflows/test.yml
├── pytest.ini
├── requirements.txt
├── pyproject.toml
├── README.md
├── docs/
│   ├── demo.gif
│   ├── demo.tape
│   └── demo_cli.py
└── .gitignore

Roadmap

  • Repository statistics

  • TODO scanner

  • Git history summaries

  • Large file detection

  • Repository tree resource

  • TODO review prompt

  • Overall repo health score

  • Tech stack detection

  • Test suite and CI

  • Optional allowlist of readable root directories

  • Lint summary tool

  • GitHub Issues integration

  • Dependency vulnerability analysis

  • Pull request insights


Tech Stack

  • Python

  • Anthropic MCP Python SDK

  • Git

  • Claude Desktop

  • Model Context Protocol (MCP)


Contributing

Contributions, suggestions, and feedback are welcome.

If you'd like to improve DevInsight, feel free to open an issue or submit a pull request.


License

MIT — see LICENSE.

Available Tools

6 tools
find_large_filesA

Flag source files that are unusually large — often a signal they're due for a refactor or split.

Args: path: Filesystem path to the repo root. threshold_lines: Minimum line count to be flagged (default 300). top_n: Max number of files to return, largest first (default 10).

Returns: List of {file, lines} dicts, sorted largest first.

Inputs: path, top_n, threshold_lines. Returns: result

find_todosA

Scan a repo for TODO / FIXME / HACK / XXX comments.

Args: path: Filesystem path to the repo root. max_results: Cap on how many matches to return (default 100).

Returns: List of {file, line_number, tag, text} dicts, one per match found.

Inputs: path, max_results. Returns: result

git_log_summaryA

Summarize the most recent git commits in a repo: author, date, message, and how many lines were added/removed.

Args: path: Filesystem path to the repo root (must be a git repo). count: How many recent commits to include (default 10).

Returns: Dict with a list of commits, or an error if this isn't a git repo.

Inputs: path, count.

repo_healthA

Give a repository an overall health score with supporting evidence.

Checks for a README, a LICENSE, a test suite, and Git version control, plus TODO density and oversized files, then rolls it all into a single 0-100 score with concrete recommendations.

Args: path: Filesystem path to the repo root. large_file_threshold: Line count above which a file counts as "large".

Returns: Dict with score, component checks, counts, largest_files, and a list of recommendations for the lowest-scoring areas.

Inputs: path, large_file_threshold.

repo_statsA

Get a language and size breakdown for a local repository.

Args: path: Filesystem path to the repo root (default: current directory).

Returns: Dict with total_files, total_lines, and a per-extension breakdown (files + lines), sorted by line count descending.

Inputs: path.

tech_stackA

Detect a project's technology stack from its manifest and config files.

Looks for common manifests (pyproject.toml, requirements.txt, package.json, Dockerfile, docker-compose.yml, GitHub Actions workflows, Cargo.toml, go.mod, composer.json, build.gradle, and more), and inspects package.json / requirements.txt contents for known frameworks and databases.

Args: path: Filesystem path to the repo root.

Returns: Dict with sorted lists for languages, frameworks, databases, package_managers, ci_cd, and deployment, plus the manifest files that were found.

Inputs: path.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

Loading tool schema changelog…

    TDQS

    A4.2/5.0

    Scored across 6 tools

    Disambiguation5/5

    Each tool targets a distinct aspect of repository analysis—large files, TODOs, git log, health, stats, and tech stack. There is no functional overlap between tools.

    Naming Consistency4/5

    All names use snake_case and are descriptive, but there is a mix: two start with 'find_' (verb) while the rest start with nouns like 'git_log_', 'repo_', 'tech_'. This is a minor inconsistency.

    Tool Count5/5

    Six tools form a well-scoped set for a repository insights server. Each tool provides a distinct, valuable capability without being excessive or insufficient.

    Completeness4/5

    The set covers core areas: file analysis, TODOs, git history, overall health, stats, and tech stack. Missing features like complexity or dependency analysis are not critical gaps given the tool count.

    Maintenance

    ActivityMaintained
    ResponsivenessNo recent community issues

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