Is the OpenOSINT MCP server actively maintained?

The OpenOSINT MCP server was last committed 2d ago and has 5 contributors. Issue health: 12% of issues resolved. AgentRank freshness score reflects real-time maintenance activity.

OpenOSINT MCP Server

Name: OpenOSINT/OpenOSINT
Rating: 3.7 (1 reviews)
Author: OpenOSINT

OpenOSINT/OpenOSINT

Score: 67.9 Rank #214 MCP Server

Are you the maintainer of OpenOSINT/OpenOSINT? Claim this listing →

AI-powered OSINT agent with interactive REPL, MCP server, and CLI. 20 tools. Works with Claude, GPT-4, or local models. For authorized security research only.

Add AgentRank to Claude Code Discover and compare tools like OpenOSINT/OpenOSINT — your AI finds the right one automatically

Get API Access →

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

Overview

OpenOSINT/OpenOSINT is a Python MCP server licensed under MIT. AI-powered OSINT agent with interactive REPL, MCP server, and CLI. 20 tools. Works with Claude, GPT-4, or local models. For authorized security research only. Topics: ai-agent, anthropic, claude, cybersecurity, osint, python, security, terminal, cli, holehe, mcp, sherlock, llm, mcp-server, model-context-protocol, threat-intelligence, maigret, osint-tools, reconnaissance.

Ranked #214 out of 24850 indexed tools.

In the top 1% of all indexed tools.

Has 1,635 GitHub stars.

Actively maintained with commits in the last week.

Ecosystem

Python MIT

ai-agentanthropicclaudecybersecurityosintpythonsecurityterminalcliholehemcpsherlockllmmcp-servermodel-context-protocolthreat-intelligencemaigretosint-toolsreconnaissance

Score Breakdown

Stars 15% 1,635

1,635 stars → well-known project

Freshness 25% 2d ago

Last commit 2d ago → actively maintained

Issue Health 25% 12%

3/25 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 258

Description Detailed

License MIT

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

How to Improve

Issue Health high impact

You have 22 open vs 3 closed issues — triaging stale issues improves health

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/OpenOSINT--OpenOSINT)](https://agentrank-ai.com/tool/OpenOSINT--OpenOSINT/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge)

HTML

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

Embed Widget docs →

HTML

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

Details

Stars: 1,635
Forks: 258
Open Issues: 22
Closed Issues: 3
Contributors: 5
Dependents: —
Language: Python
License: MIT
Last Commit: 2d ago

Matched Queries

"mcp server""mcp-server"

From the README

mcp-name: io.github.OpenOSINT/openosint

<div align="center">
  
  <h1>OpenOSINT</h1>
  <p>An OSINT (Open Source Intelligence) agent for security researchers and analysts: 20 investigation tools behind a natural-language interface, plus an MCP (Model Context Protocol) server so any MCP-compatible AI client can drive them directly.</p>
  <p>Use it as a REPL, CLI, MCP server, or browser Web UI.</p>
  <p><em>The AI issues hard-stop tool calls; your code executes the real binary — hallucinated findings are structurally impossible.</em></p>
</div>

<div align="center">

</div>

## Self-host (free, MIT)

```bash
pip install openosint
```

```bash
# Interactive AI REPL (default)
openosint

# Web interface
openosint web

# Direct tool (no AI)
openosint email [email protected]
```

<div align="center">
  <a href="https://raw.githubusercontent.com/OpenOSINT/OpenOSINT/main/assets/demo/demo.mp4">
    
  </a>
</div>

**[Try the live demo →](https://demo.openosint.tech)** — bring your own Anthropic

Read full README on GitHub →