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PopNx MCPMCP servers for people who use AI · explained in plain words

Devdocs MCP

by madhan-g-pversion 1.0.0i★ 14iRuns on your computer
Registry nameio.github.madhan-g-p/devdocs-mcp

How to install

Overview

Description from the maker (original English)

Local DevDocs MCP Server (Developer Docs with project specific context awareness)

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Other

Install

Pick the AI app you use, then copy the settings.

Passed 1/2 checks · Runs on your computer

First: which AI do you use?

Pick your app and the steps appear below.

Works with Claude, with some setup first

Install Node.js on your computer first (one time) · Only the Claude desktop app (Windows or Mac), not the web or phone

  1. Install Node.js

    One time only; it works for every server that needs Node.js

    Open the Node.js download page ↗

  2. Open the Claude desktop app’s settings file

    SettingsDeveloperEdit Config

  3. Paste these settings and save the file

    {
      "mcpServers": {
        "devdocs": {
          "command": "npx",
          "args": [
            "-y",
            "@madhan-g-p/devdocs-mcp-server"
          ]
        }
      }
    }
  4. Quit Claude and open it again

  5. Try it

    Use Devdocs MCP and tell me what you can do for me, then show me one thing

    ✓ If Claude says it is using Devdocs MCP or shows a Devdocs MCP tool in the answer, you are connected

Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version

ChatGPT cannot connect Devdocs MCP yet

Devdocs MCP runs on your computer, but ChatGPT can only connect servers that run on the web

What you can do instead

A · Use an app that can connect Devdocs MCP

  • Install Node.js on your computer first (one time) · Only the Claude desktop app (Windows or Mac), not the web or phone
  • Install Node.js on your computer first (one time)
  • Install Node.js on your computer first (one time)
  • Install Node.js on your computer first (one time)

B · Others in Other that work with ChatGPT

Picked from the most used in the same category, only ones that connect by address with no key

Works with Claude Code, with some setup first

Install Node.js on your computer first (one time)

  1. Install Node.js

    One time only; it works for every server that needs Node.js

    Open the Node.js download page ↗

  2. Open Terminal

    Mac: press Command+Space and type Terminal · Windows: open PowerShell

  3. Paste this command and press Enter

    claude mcp add devdocs -- npx -y @madhan-g-p/devdocs-mcp-server
  4. Type /mcp in Claude Code

    You should see Devdocs MCP listed as connected

  5. Try it

    Use Devdocs MCP and tell me what you can do for me, then show me one thing

    ✓ If Claude Code says it is using Devdocs MCP or shows a Devdocs MCP tool in the answer, you are connected

Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version

Works with Cursor, with some setup first

Install Node.js on your computer first (one time)

  1. Install Node.js

    One time only; it works for every server that needs Node.js

    Open the Node.js download page ↗

  2. Click this button to open Cursor

    Open in Cursor

    Cursor asks you to confirm; click Install

  3. Open the AI chat in Cursor in Agent mode

  4. Try it

    Use Devdocs MCP and tell me what you can do for me, then show me one thing

    ✓ If Cursor says it is using Devdocs MCP or shows a Devdocs MCP tool in the answer, you are connected

Menu names checked against Cursor’s help page on Nov 11, 2026 · your screen may differ slightly by app version

Works with VS Code, with some setup first

Install Node.js on your computer first (one time)

  1. Install Node.js

    One time only; it works for every server that needs Node.js

    Open the Node.js download page ↗

  2. Click this button to open VS Code

    Open in VS Code

    VS Code asks you to confirm; click Install

  3. Open the AI chat in VS Code in Agent mode

  4. Try it

    Use Devdocs MCP and tell me what you can do for me, then show me one thing

    ✓ If VS Code says it is using Devdocs MCP or shows a Devdocs MCP tool in the answer, you are connected

Menu names checked against VS Code’s help page on Nov 11, 2026 · your screen may differ slightly by app version

Other apps that use MCP, such as Windsurf, Zed or Gemini CLI, each add servers differently. See how in the app list.

See every app that uses MCP →

JSON settings are under “For developers” below

Stuck? Ask people who use Devdocs MCP💬 Discussion →
For developers: Terminal commands and JSON settings

Installed on your computer

Claude Code

claude mcp add devdocs -- npx -y @madhan-g-p/devdocs-mcp-server

Claude Desktop (claude_desktop_config.json)

{
  "mcpServers": {
    "devdocs": {
      "command": "npx",
      "args": [
        "-y",
        "@madhan-g-p/devdocs-mcp-server"
      ]
    }
  }
}

Cursor (~/.cursor/mcp.json)

{
  "mcpServers": {
    "devdocs": {
      "command": "npx",
      "args": [
        "-y",
        "@madhan-g-p/devdocs-mcp-server"
      ]
    }
  }
}

VS Code (mcp.json)

{
  "servers": {
    "devdocs": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@madhan-g-p/devdocs-mcp-server"
      ]
    }
  }
}

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

At a glance

Downloads per weeki
54/wk
Licencei
No licence stated
Connection
Runs on your computer
Latest versioni
1.0.0
Categoryi
Other
Published to registryi
Jan 24, 2026
Code last changedi
May 10, 2026
Maker
madhan-g-p
Packages
npm: @madhan-g-p/devdocs-mcp-server
Registry status
Active

Which apps can use it

Based on how this server connects and on each app’s own docs, checked Nov 10, 2026.

Run on your computer in

ClaudeGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatRaycast

All apps, with pros and cons →

Related guides

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

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 11, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account madhan-g-p, which owns the repo

  • ! Caution

    Still maintained

    Code last changed 6 months ago, more than 6 months ago

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Discussion

Ask, share a tip or report that it does not work. Sorted by what people marked helpful.

No posts yet. Be the first to ask or share.

Posts here are written by users, not the PopNx team.

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User reviews

No reviews yet

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Compared with others in Otheri

  • More stars than 97% of the other 19159 servers in this category
  • Published to the registry more recently than 1% of the other 19159 servers in this category
  • Basic checks equal to or better than 12% of the other 19159 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Devdocs MCP safe?

It passed 1 of 2 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.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

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).

Is it still maintained?

The GitHub repo last changed 6 months ago, and the latest version (1.0.0) reached the registry 10 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: World Monitor, Claude Flow, Tldraw

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

World Monitor

Real-time global intelligence on conflict, markets, energy, trade, shipping and cyber. 102 tools.

by koala73Widely used★ 90.5KUpdated 6 days ago

Runs in the cloud✓ worldmonitor.app

Claude Flow

AI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.

by ruvnetWidely used↓ 13.5K/wk★ 81.4KUpdated 14 months ago

Runs on your computer

Tldraw

Draw and visually collaborate with your agents on tldraw's canvas.

by tldrawWidely used★ 51.4KUpdated 8 months ago

Runs in the cloud

README from the maker

Open the README

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.

DevDocs-MCP: Documentation Authority for AI Agents

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.


📑 Table of Contents

  1. Overview
  2. Key Capabilities
  3. Quickstart
  4. Installation & Setup
  5. AI Agent Configuration
  6. Further Reading

🎯 Overview

What This Project Is

  • A local MCP server written in NestJS (TypeScript).
  • A deterministic authority for documentation metadata and content.
  • A lazy-ingestion engine that caches DevDocs offline.
  • A project-aware context manager that pins docs to your package.json versions.

What This Project Is NOT

  • ❌ An AI agent or code generator.
  • ❌ A web scraper (it uses structured DevDocs datasets).
  • ❌ A DevDocs UI replacement.
  • ❌ A hosted SaaS (it runs 100% locally).

Why This Exists (The Problem)

Modern AI coding agents face three major hurdles:

  1. Hallucination: Guessing API signatures or using deprecated methods.
  2. Latency: Fetching live web docs for every query is slow.
  3. Version Drift: Mixing up React 18 with React 19 features.

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]


🚀 Key Capabilities

  • Offline-First: Documentation is cached locally; no internet is needed after ingestion.
  • Ranked Fuzzy Search: Instantly find relevant entries (e.g., "intersection observer").
  • Version Awareness: Automatically maps to specific library versions in your project.
  • Node-Only Architecture: Uses sql.js for zero-native dependencies (no Python/C++ build steps).
  • Structured Outputs: Returns clean, LLM-optimized content.

⚡ Quickstart

  1. Clone & Install
  git clone https://github.com/madhan-g-p/DevDocs-MCP.git

cd DevDocs-MCP pnpm install

  1. Configure Environment
  cp .env.example .env

Edit .env: Set DEVDOCS_DATA_PATH to where you want to store docs.

  1. Build & Run
  pnpm build

pnpm start:prod

Note: Strictly use pnpm for development and contributions.


🛠️ Installation & Setup

DevDocs-MCP is optimized for zero-fuss setup with pnpm. It is a Node-only project.

Prerequisites
  • Node.js 18+ (tested on 18.x and 20.x).
🐳 Docker Usage

DevDocs-MCP is designed to be lightweight and persistent. Since it downloads and caches large documentation datasets, managing your data volumes correctly is essential.

Method A: Docker Compose (Dynamic & Persistent)

This is the recommended way. It supports 3 storage modes via the DEVDOCS_VOLUME_SOURCE variable in your .env file.

  1. Configure your preferred storage in .env: `bash

Mode 1: Named volume (Default - Docker manages it)

DEVDOCS_VOLUME_SOURCE=devdocs_data

Mode 2: Host Path (Outside Docker - Local folder)

DEVDOCS_VOLUME_SOURCE=./my-docs-storage

`

  1. Start the server: 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_SOURCE in your .env file. Both the mcp.db (database library) and the data/ (documentation downloads) are stored inside this volume.

Method B: Docker Run (Manual)

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

💾 Data Strategy

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.

Configuration (.env)
VariableDescriptionDefault
DEVDOCS_DATA_PATHPath to store downloaded documentation JSONs../data
MCP_DB_PATHPath to the SQLite metadata database.mcp.db
LOG_LEVELVerbosity (debug, info, warn, error).info
Ingesting Documentation

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.


🤖 AI Agent Configuration

RooCode / Cline / Claude Desktop (Recommended: STDIO)

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 .env and use the DEVDOCS_DATA_PATH and MCP_DB_PATH you've defined there (e.g., ./data or mcp.db), making the setup portable!

Remote / Web Clients (HTTP SSE)

If you need to expose the server via a port (for production/remote setups):

  1. Start the server with a port flag:
   node dist/main.js --port 3000
  1. Configure your client:
  • SSE URL: http://your-server:3000/mcp/sse
  • Type: SSE (Supported by most MCP clients, atleast I guess so)

📖 Further Reading


*Inspired from this project devdocs-local , devdocs-local-demo by @Nathaniel Whiteinge*