Maigret OSINT
OSINT Maigret integration to gather user info across social networks.
Create a "reports" directory
On your computer, create a directory that will be used to store Maigret reports.- Open a terminal or file explorer.
- Example (terminal command):
mkdir -p /path/to/reports/directory - You can name and locate this directory anywhere, but ensure you remember the full path.
Set the Path in the FastMCP Connection Interface
- In the FastMCP connection interface, you will see a field for
MAIGRET_REPORTS_DIR. - Enter the absolute path to the reports directory you created in Step 1.
- In the FastMCP connection interface, you will see a field for
Ensure Write Permissions
- Make sure the directory is writable by your user account.
- On Unix systems, you can run:
ls -la /path/to/reports/directory - If necessary, change permissions so your user has write access.
Save and Continue Setup
- Save or apply your environment values in FastMCP.
- Continue with any remaining steps in the connection process as prompted.
Note: No API keys, tokens, or secrets are required for the Maigret MCP server. Only the MAIGRET_REPORTS_DIR path needs to be configured.
Quick Start
Choose Connection Type for
Authentication Required
Please sign in to use FastMCP hosted connections
Configure Environment Variables for
Please provide values for the following environment variables:
started!
The MCP server should open in . If it doesn't open automatically, please check that you have the application installed.
Copy and run this command in your terminal:
Make sure Gemini CLI is installed:
Visit Gemini CLI documentation for installation instructions.
Make sure Claude Code is installed:
Visit Claude Code documentation for installation instructions.
Installation Steps:
Configuration
Installation Failed
More for Web Search
View All →
DuckDuckGo
Experience fast and reliable DuckDuckGo web search with this TypeScript MCP server. It offers a simple search interface supporting customizable queries, result counts, and safe search levels. Built-in rate limiting ensures fair usage with up to 1 request per second and 15,000 per month. The server returns well-formatted Markdown results, making it easy to integrate and display search data. Designed to demonstrate core Model Context Protocol concepts, it also includes helpful debugging tools to inspect communication. Perfect for developers wanting seamless DuckDuckGo integration via MCP with efficient error handling and robust controls.
Microsoft Docs
Remote
Access official Microsoft documentation instantly with the Microsoft Learn Docs MCP Server. This cloud service implements the Model Context Protocol (MCP) to enable AI tools like GitHub Copilot and others to perform high-quality semantic searches across Microsoft Learn, Azure, Microsoft 365 docs, and more. It delivers up to 10 concise, context-relevant content chunks in real time, ensuring up-to-date, accurate information. Designed for seamless integration with any MCP-compatible client, it helps AI assistants ground their responses in authoritative, current Microsoft resources for better developer support and productivity.
Brave Search
Integrate web search and local search capabilities with Brave. Brave Search allows you to seamlessly integrate Brave Search functionality into AI assistants like Claude. By implementing a Model Context Protocol (MCP) server, it enables the AI to leverage Brave Search's web search and local business search capabilities. It provides tools for both general web searches and specific local searches, enhancing the AI assistant's ability to provide relevant and up-to-date information.
Exa Search
Empower AI assistants like Claude with real-time web data using the Exa MCP Server. This Model Context Protocol server connects AI models to the Exa AI Search API, enabling safe, up-to-date web searches across diverse tools such as academic papers, company data, LinkedIn, Wikipedia, GitHub, and more. Its flexible toolset enhances research, competitor analysis, and content extraction, providing comprehensive information for smarter AI interactions. Designed for seamless integration with Claude Desktop, the Exa MCP Server boosts AI capabilities by delivering fast, reliable, and controlled access to the latest online information.
Perplexity
Unlock real-time, web-wide research for Claude with Sonar API integration via MCP. Perplexity Ask MCP Server enables natural-language queries by connecting Claude to Perplexity’s Sonar, bringing fresh internet search capabilities directly into your AI workflows. The system is designed for easy expansion and can also be used with compatible apps like Cursor. Ideal for users seeking accurate, up-to-date information in conversational settings, the server’s flexible architecture empowers seamless integration of advanced research tools with your favorite AI platforms.
More for Web Scraping
View All →
Selenium WebDriver
Enables browser automation through Selenium WebDriver with support for Chrome, Firefox, and Edge browsers, providing navigation, element interaction, form handling, screenshot capture, JavaScript execution, and advanced actions for automated testing and web scraping tasks.
DeepWiki
Remote
Instantly turn any Deepwiki article into clean, structured Markdown you can use anywhere. Deepwiki MCP Server safely crawls deepwiki.com pages, removes clutter like ads and navigation, rewrites links for Markdown, and offers fast performance with customizable output formats. Choose a single document or organize content by page, and easily extract documentation or guides for any supported library. It’s designed for secure, high-speed conversion and clear, easy-to-read results—making documentation and learning seamless.