Is the deepwiki-mcp MCP server actively maintained?

The deepwiki-mcp MCP server was last committed 7mo ago and has 5 contributors. Issue health: 39% of issues resolved. AgentRank freshness score reflects real-time maintenance activity.

deepwiki-mcp MCP Server

Name: regenrek/deepwiki-mcp
Rating: 3.1 (1 reviews)
Author: regenrek

regenrek/deepwiki-mcp

Score: 52.8 ↓ 3.7% Rank #14522 MCP Server

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📖 MCP server for fetch deepwiki.com and get latest knowledge in Cursor and other Code Editors

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Overview

regenrek/deepwiki-mcp is a TypeScript MCP server licensed under MIT. 📖 MCP server for fetch deepwiki.com and get latest knowledge in Cursor and other Code Editors

Ranked #14522 out of 24846 indexed tools.

Has 1,385 GitHub stars.

Ecosystem

TypeScript MIT

Score Breakdown

Stars 15% 1,385

1,385 stars → well-known project

Freshness 25% 7mo ago

Last commit 7mo ago → stale

Issue Health 25% 39%

7/18 issues closed → many open issues

Contributors 10% 5

5 contributors → small team

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A

PyPI Downloads N/A

Forks 81

Description Good

License MIT

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

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Description low impact

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Freshness high impact

Last commit was 221 days ago — a recent commit would boost your freshness score

Issue Health high impact

You have 11 open vs 7 closed issues — triaging stale issues improves health

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Details

Stars: 1,385
Forks: 81
Open Issues: 11
Closed Issues: 7
Contributors: 5
Dependents: —
Language: TypeScript
License: MIT
Last Commit: 7mo ago

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From the README

# Deepwiki MCP Server

> ⚠️ **IMPORTANT NOTICE**: This server is currently not working since DeepWiki has cut off the possibility to scrape it. We recommend using the official DeepWiki MCP server at https://docs.devin.ai/work-with-devin/deepwiki-mcp for the time being.

This is an **unofficial Deepwiki MCP Server**

It takes a Deepwiki URL via MCP, crawls all relevant pages, converts them to Markdown, and returns either one document or a list by page.

## Features

- 🔒 **Domain Safety**: Only processes URLs from deepwiki.com
- 🧹 **HTML Sanitization**: Strips headers, footers, navigation, scripts, and ads
- 🔗 **Link Rewriting**: Adjusts links to work in Markdown
- 📄 **Multiple Output Formats**: Get one document or structured pages
- 🚀 **Performance**: Fast crawling with adjustable concurrency and depth
- **NLP**: It's to search just for the library name

## Usage

Prompts you can use:

```
deepwiki fetch how can i use gpt-image-1 with "vercel ai" sdk
```

```
deepwiki fetch how can

Read full README on GitHub →