Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Description from the maker (original English)
Local DevDocs MCP Server (Developer Docs with project specific context awareness)
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
You need
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"devdocs": {
"command": "npx",
"args": [
"-y",
"@madhan-g-p/devdocs-mcp-server"
]
}
}
}Run this in your terminal
claude mcp add devdocs -- npx -y @madhan-g-p/devdocs-mcp-serverPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"devdocs": {
"command": "npx",
"args": [
"-y",
"@madhan-g-p/devdocs-mcp-server"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"devdocs": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@madhan-g-p/devdocs-mcp-server"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
Your choice stays on this device in a cookie; no account needed.
These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026
The registry name was verified with the GitHub account madhan-g-p, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
The registry does not list a required key, though some servers ask you to sign in on first use.
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (1.0.0) reached the registry 10 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
In the same category: Spec Driven Development, Remote Desktop Commander, Reelsaw
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Drive a self-hosted Reelsaw: turn long videos into vertical clips, edit, re-render and export them.
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
Eliminate AI hallucinations with local, version-aware, and authoritative documentation.
DevDocs-MCP is a Model Context Protocol (MCP) server that provides version-pinned, deterministic documentation sourced from DevDocs.io to AI assistants (Claude, RooCode, Cline, Copilot etc.). It acts as a local Documentation Intelligence Layer, ensuring your agent always has the correct API context without network latency or training data drift.
This server follows the proposed MCP server standard defined by the MCP , which is being adopted by AI tools and agents across the ecosystem, including those from providers such as Anthropic, OpenAI, and Google.
⚠️ Project Status Notice ⚠️
This project is under active and heavy development. Still need to test existing features and implement more new features like optimal caching , update latest doc automatically and also on request basis , optimal querying and more... Design decisions, APIs, and structure are expected to evolve based on strong opinions, reviews, and feedback from the developer community. I warmly welcome discussions, critiques, and contributions to help shape this project in the right direction.
What This Project Is
package.json versions.What This Project Is NOT
Why This Exists (The Problem)
Modern AI coding agents face three major hurdles:
The Solution: DevDocs-MCP provides "Just-in-Time" documentation retrieved from local storage, filtered by your project's specific dependency versions.
Mental Model
DevDocs-MCP acts as a middleware between your IDE Agent and the documentation source.
graph TD
Agent["AI Agents"] -->|MCP Search/Explain| Server["DevDocs-MCP Server"] Server -->|Metadata| DB[(SQLite - sql.js)] Server -->|Content| FS[Local Disk - JSON Cache] Server -.->|Lazy Fetch| Web[DevDocs.io API]
sql.js for zero-native dependencies (no Python/C++ build steps). git clone https://github.com/madhan-g-p/DevDocs-MCP.git
cd DevDocs-MCP pnpm install
cp .env.example .env
pnpm build
pnpm start:prod
Note: Strictly use
pnpmfor development and contributions.
DevDocs-MCP is optimized for zero-fuss setup with pnpm. It is a Node-only project.
DevDocs-MCP is designed to be lightweight and persistent. Since it downloads and caches large documentation datasets, managing your data volumes correctly is essential.
This is the recommended way. It supports 3 storage modes via the DEVDOCS_VOLUME_SOURCE variable in your .env file.
.env: `bashDEVDOCS_VOLUME_SOURCE=devdocs_data
`
bash docker compose up -d Flexibility: Every time you start the container, you can point to a new volume (to start fresh) or an existing volume (to keep your data) just by changing the
DEVDOCS_VOLUME_SOURCEin your.envfile. Both themcp.db(database library) and thedata/(documentation downloads) are stored inside this volume.
If you just want to run the public image directly from Docker Hub:
docker run -d -p 3000:3000 \
-v "devdocs_data:/app/data" \ --name devdocs-mcp \ madhandock1/devdocs-mcp:latest
The project uses a single mount point at /app/data which contains:
/app/data/mcp.db: The SQLite registry./app/data/docs/: The cached documentation files.This unified structure makes it easy to backup or move your entire documentation authority by simply moving one folder or volume.
.env)| Variable | Description | Default |
|---|---|---|
DEVDOCS_DATA_PATH | Path to store downloaded documentation JSONs. | ./data |
MCP_DB_PATH | Path to the SQLite metadata database. | mcp.db |
LOG_LEVEL | Verbosity (debug, info, warn, error). | info |
Once the server is connected to your agent, use the ingest tool to download documentation for your specific stack: Agent will take care of it once the server is up and running , it is supposed to list the available to tools and take decision accordingly.
{
"dependencies": { "react": "18.2.0", "typescript": "5.0.0" } }
>Note: The Devdocs fetch url required to be used for ingestion is defined in `src/config/constants.ts`. This URL currently points to the correct and officially supported path. If the [devdocs](https://github.com/freecodecamp/devdocs) community changes this path in future, the configuration may need to be updated accordingly.<br/>
This approach does not involve web scraping. It follows the same supported mechanism used by DevDocs to provide documentation for offline use, similar to how users download documentation within DevDocs itself.
Add this to your mcp_settings.json. By setting the cwd (Current Working Directory), the server will automatically load configuration from your .env file, allowing you to use relative paths for data storage.
{
"mcpServers": { "devdocs": { "command": "node", "args": ["dist/main.js"], "cwd": "file://path/to/your/DevDocs-MCP" } } }
Pro Tip: Use the absolute path to the project in
cwd. The server will then find your.envand use theDEVDOCS_DATA_PATHandMCP_DB_PATHyou've defined there (e.g.,./dataormcp.db), making the setup portable!
If you need to expose the server via a port (for production/remote setups):
node dist/main.js --port 3000
http://your-server:3000/mcp/sseSSE (Supported by most MCP clients, atleast I guess so)sql.js internals.*Inspired from this project devdocs-local , devdocs-local-demo by @Nathaniel Whiteinge*