mcp-dev-tools
Provides AI coding assistants with tools to run git status, recent commits, tests, and linter on a real repository.
README
mcp-dev-tools
An MCP (Model Context Protocol) server I built to expose everyday dev commands — git status, recent commits, running tests, running the linter — as tools an AI coding assistant (Claude Code, Claude Desktop, or any other MCP-compatible client) can call directly against a real repository.
Why I built this
I wanted to actually understand how MCP servers work end to end — the handshake, the transport, tool schemas — rather than just wiring one up from a template. So this was built from an empty folder, one piece at a time, verifying each step before adding the next.
How I built it
- Scaffolded the project —
npm init, TypeScript config for Node ESM (NodeNextmodule/resolution), installed@modelcontextprotocol/sdkandzod. - Wrote the smallest possible server — an
McpServerinstance, a single dummypingtool, connected over a stdio transport. - Verified it with the MCP Inspector before writing anything real — spawned the server as a subprocess, confirmed the
initializehandshake completed andtools/list/tools/callworked, using the raw protocol traffic rather than assuming it worked. - Added the real tools one at a time (
git_status,recent_commits,run_tests,run_linter), re-testing after each addition rather than batching changes. - Made the target repo configurable — moved from hardcoding
process.cwd()to reading a CLI argument, so the server can run against any project, not just itself. - Hit and fixed a real platform bug along the way — see below.
A real bug this surfaced
run_tests and run_linter initially failed on Windows with a cryptic spawn EINVAL. Cause: Node deliberately blocks execFile/spawn from directly invoking .cmd/.bat files (like npm.cmd) without shell: true — a security fix (CVE-2024-27980) to stop unsafe argument injection into batch files. The git calls were unaffected since git.exe is a real executable, not a shell shim. Fixed by scoping shell: true to just the two npm calls, where the arguments are fixed literals rather than dynamic input, so the shell-parsing risk the restriction exists to prevent doesn't actually apply here.
Tools
| Tool | Description | Arguments |
|---|---|---|
ping |
Echoes a message back; used to verify the server is wired up | message: string |
git_status |
Working tree status (staged / unstaged / untracked) of the target repo | — |
recent_commits |
Recent commit history on the current branch | count?: number (default 10, max 50) |
run_tests |
Runs npm test in the target repo and returns output, including failures |
— |
run_linter |
Runs npm run lint in the target repo and returns output, including lint errors |
— |
How it works
- Transport: stdio — the client spawns this process and communicates over stdin/stdout using JSON-RPC 2.0. stdout is reserved exclusively for protocol traffic; all logging goes to stderr (
console.error), otherwise it would corrupt the stream. - Tool execution: each tool shells out to a real command (
git,npm) via Node'schild_process.execFile, using an argument array rather than a single shell string — this avoids shell injection entirely for the git-based tools. - Error handling: a failing command (e.g. failing tests, a missing lint script) is not treated as a protocol error. It's caught and returned as a normal tool result with
isError: trueand the real command output attached, so the calling model can see what went wrong rather than getting an opaque failure. - Target repo: a single
REPO_DIRconstant, resolved once at startup from a CLI argument (falling back to the current working directory), is threaded through every tool — so the server can be pointed at any project without code changes.
How to use it yourself
Prerequisites: Node.js 20+ and npm.
git clone <this-repo-url>
cd mcp-dev-tools
npm install
Run directly against the source with tsx (no build step needed):
npm run dev -- C:\path\to\some\other\repo
Or compile and run the built output:
npm run build
npm start -- C:\path\to\some\other\repo
If no path is given, it defaults to the directory the server is launched from.
Wiring it into an MCP client (Claude Code / Claude Desktop)
Add an entry to the client's MCP server config, pointing args at the built server and the repo you want it to operate on:
{
"mcpServers": {
"dev-tools": {
"command": "node",
"args": [
"C:\\path\\to\\mcp-dev-tools\\build\\index.js",
"C:\\path\\to\\the\\project\\you\\want\\to\\work\\on"
]
}
}
}
Debugging with the MCP Inspector
npx @modelcontextprotocol/inspector npx tsx src/index.ts C:\path\to\some\other\repo
Opens a browser UI showing the live tool list and lets you call each tool manually while watching the raw JSON-RPC exchange.
Tech stack
- TypeScript, compiled with
tscto ES2022/NodeNext modules @modelcontextprotocol/sdk— official MCP server implementationzod— runtime validation for tool input schemastsxfor zero-build local development
Project structure
mcp-dev-tools/
├── src/
│ └── index.ts # server setup + all tool definitions
├── tsconfig.json
├── package.json
└── README.md
License
ISC
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.