Is the data-extractor MCP server actively maintained?

The data-extractor MCP server was last committed 6mo ago and has 0 contributors. Issue health: 50% of issues resolved. AgentRank freshness score reflects real-time maintenance activity.

data-extractor MCP Server

Name: ThreeFish-AI/data-extractor
Rating: 3.1 (1 reviews)
Author: ThreeFish-AI

ThreeFish-AI/data-extractor

Score: 52.2 Rank #1784 MCP Server

Are you the maintainer of ThreeFish-AI/data-extractor? Claim this listing →

A commercial-grade MCP Server built on FastMCP, offering robust capabilities to read, extract, and localize (into Markdown) content from web pages and PDFs with both text and images. It is purpose-built for long-term deployment in enterprise environments.

Add AgentRank to Claude Code Discover and compare tools like ThreeFish-AI/data-extractor — your AI finds the right one automatically

Get API Access →

claude mcp add agentrank -- npx -y agentrank-mcp-server

Overview

ThreeFish-AI/data-extractor is a Python MCP server licensed under MIT. A commercial-grade MCP Server built on FastMCP, offering robust capabilities to read, extract, and localize (into Markdown) content from web pages and PDFs with both text and images. It is purpose-built for long-term deployment in enterprise environments.

Ranked #1784 out of 25022 indexed tools.

In the top 8% of all indexed tools.

Ecosystem

Python MIT

Score Breakdown

Stars 15% 3

3 stars → early stage

Freshness 25% 6mo ago

Last commit 6mo ago → stale

Issue Health 25% 50%

No issues filed → no history to score

Contributors 10% 0

0 contributors → solo project

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A

PyPI Downloads N/A

Forks 2

Description Detailed

License MIT

Weights: Freshness 25% · Issue Health 25% · Dependents 25% · Stars 15% · Contributors 10% · How we score →

How to Improve

Freshness high impact

Last commit was 209 days ago — a recent commit would boost your freshness score

Contributors medium impact

Single-contributor projects carry bus-factor risk — welcoming contributors boosts confidence

Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

Badge all embed codes →

Markdown

[![AgentRank](https://agentrank-ai.com/api/badge/tool/ThreeFish-AI--data-extractor)](https://agentrank-ai.com/tool/ThreeFish-AI--data-extractor/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge)

HTML

<a href="https://agentrank-ai.com/tool/ThreeFish-AI--data-extractor/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge"><img src="https://agentrank-ai.com/api/badge/tool/ThreeFish-AI--data-extractor" alt="AgentRank"></a>

Embed Widget docs →

HTML

<script src="https://agentrank-ai.com/embed.js" data-tool="ThreeFish-AI/data-extractor"></script>

Details

Stars: 3
Forks: 2
Open Issues: 0
Closed Issues: 0
Contributors: 0
Dependents: —
Language: Python
License: MIT
Last Commit: 6mo ago

Matched Queries

"mcp server""mcp-server"

See alternatives to ThreeFish-AI/data-extractor → Browse mcp-server category → Compare ThreeFish-AI/data-extractor → How to Build an MCP Server in 2026 →MCP Server Comparison: Top 10 Head-to-Head →

View on GitHub →