by burtthecoder
Maigret OSINT offers open source intelligence tools to find user info across social networks. Boost your OSINT intellige
Searches for user accounts across hundreds of social networks and websites using a username. Generates detailed reports showing where that username exists online.
Maigret OSINT is a community-built MCP server published by burtthecoder that provides AI assistants with tools and capabilities via the Model Context Protocol. Maigret OSINT offers open source intelligence tools to find user info across social networks. Boost your OSINT intellige It is categorized under search web.
You can install Maigret OSINT in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
MIT
Maigret OSINT is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
Fetch and extract information from websites automatically
Example
Research competitor pricing, scrape product reviews, monitor news mentions
Automate 5-10 hours/week of manual web research
Track website changes, new content, price updates
Example
Monitor competitor blog for new posts, track stock availability, watch for pricing changes
Stay informed without manual checking, never miss important updates
Extract structured data from multiple websites
Example
Compile product listings from 10 e-commerce sites, aggregate job postings, collect real estate data
Build datasets 100x faster than manual copying
Share your MCP server with the developer community
Useful MCP listing: Maigret OSINT is the kind of server we cite when onboarding engineers to host + tool permissions.
We evaluated Maigret OSINT against two servers with overlapping tools; this profile had the clearer scope statement.
We evaluated Maigret OSINT against two servers with overlapping tools; this profile had the clearer scope statement.
Useful MCP listing: Maigret OSINT is the kind of server we cite when onboarding engineers to host + tool permissions.
We wired Maigret OSINT into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
We evaluated Maigret OSINT against two servers with overlapping tools; this profile had the clearer scope statement.
Useful MCP listing: Maigret OSINT is the kind of server we cite when onboarding engineers to host + tool permissions.
Maigret OSINT is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
Maigret OSINT reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
We wired Maigret OSINT into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
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A Model Context Protocol (MCP) server for maigret, a powerful OSINT tool that collects user account information from various public sources. This server provides tools for searching usernames across social networks and analyzing URLs. It is designed to integrate seamlessly with MCP-compatible applications like Claude Desktop.
<a href="https://glama.ai/mcp/servers/knnpcz651x"><img width="380" height="200" src="https://glama.ai/mcp/servers/knnpcz651x/badge" alt="mcp-maigret MCP server" /></a>
This tool is designed for legitimate OSINT research purposes. Please:
This server implements several security measures to prevent command injection attacks:
execFile() instead of exec() to prevent shell interpolationIf you discover a security vulnerability, please report it by opening an issue or contacting the maintainers directly. We take security seriously and will respond promptly.
To install Maigret for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install mcp-maigret --client claude
Install Docker:
Install the server globally via npm:
npm install -g mcp-maigret
mkdir -p /path/to/reports/directory
{
"mcpServers": {
"maigret": {
"command": "mcp-maigret",
"env": {
"MAIGRET_REPORTS_DIR": "/path/to/reports/directory"
}
}
}
}
Configuration file location:
~/Library/Application Support/Claude/claude_desktop_config.json%APPDATA%\Claude\claude_desktop_config.jsonIf you prefer to run from source or need to modify the code:
git clone <repository_url>
cd mcp-maigret
npm install
npm run build
{
"mcpServers": {
"maigret": {
"command": "node",
"args": ["/absolute/path/to/mcp-maigret/build/index.js"],
"env": {
"MAIGRET_REPORTS_DIR": "/path/to/reports/directory"
}
}
}
}
search_usernameusername (required): Username to search for (alphanumeric, underscores, hyphens, periods only; max 100 chars)format (optional, default: "pdf"): Output format (txt, html, pdf, json, csv, xmind)use_all_sites (optional, default: false): Use all available sites instead of top 500tags (optional): Array of tags to filter sites (alphanumeric, underscores, hyphens only)Example:
{
"username": "test_user123",
"format": "html",
"use_all_sites": false,
"tags": ["photo"]
}
parse_urlurl (required): URL to analyzeformat (optional, default: "pdf"): Output format (txt, html, pdf, json, csv, xmind)Example:
{
"url": "https://example.com/profile",
"format": "txt"
}
docker --version
docker ps
sudo usermod -aG docker $USERVerify the reports directory:
ls -la /path/to/reports/directoryCommon configuration mistakes:
After fixing any issues:
git checkout -b feature/amazing-feature)git commit -m 'Add amazing feature')git push origin feature/amazing-feature)This project is licensed under the MIT License - see the LICENSE file for details.
Interact with services that don't offer APIs
Example
Check form submissions, validate website functionality, test user flows
Automate interactions with any website, even without API
Prerequisites
Time Estimate
20-40 minutes including configuration and testing
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
MCP server handles HTTP requests, HTML parsing, JavaScript rendering (if headless browser), and returns structured data to Claude.
Protocols
Compatibility
✓ Use when
Use for research automation, content monitoring, data aggregation from multiple sources, and when official APIs don't exist. Best for read-only information gathering.
✗ Avoid when
Avoid for sites with APIs (use API instead), sites that explicitly forbid scraping, when data is copyrighted, or for login-required content without proper authorization.