Frequently Asked Questions
Q: What is Sherlock MCP? A: Sherlock MCP is a tool built on FastMCP for searching usernames across multiple social media platforms, including standard and NSFW sites. It provides an API for integration with other applications.
Q: What are the prerequisites for using Sherlock MCP? A: You need Python 3.7+, FastMCP, and Sherlock installed on your system.
Q: How do I install Sherlock MCP?
A: Clone the repository from GitHub and install the required dependencies using pip install -r requirements.txt.
Q: How do I run the Sherlock MCP server?
A: Execute the python main.py command in your terminal.
Q: How do I make requests to the Sherlock MCP server?
A: Use the provided server.py example to interact with the service and call the get_links or get_nsfw_links endpoints with a username.
Q: What is the difference between get_links and get_nsfw_links endpoints?
A: The get_links endpoint searches for usernames across standard social media platforms, while the get_nsfw_links endpoint includes NSFW platforms in the search.
Q: What is the format of the response from the Sherlock MCP server? A: The server returns a JSON string containing an array of objects, each with the ‘site’ and ‘url’ of the found username on a specific platform.
Q: Is Sherlock MCP free to use? A: Yes, Sherlock MCP is licensed under the MIT License, making it free to use and modify.
Q: Can I integrate Sherlock MCP into my own applications? A: Yes, the simple API interface makes it easy to integrate Sherlock MCP into other applications.
Q: What is UBOS? A: UBOS is a full-stack AI Agent Development Platform focused on enabling businesses to orchestrate AI Agents, connect them with enterprise data, build custom AI Agents with their own LLM model, and create Multi-Agent Systems.
Sherlock MCP Server
Project Details
- qKitNp/sherlock_mcp
- Last Updated: 6/14/2025
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