Create optimized web search queries tailored to specific research tasks, using structured strategies and advanced techniques to enhance information retrieval efficiency for AI agents.
Test web applications for Cross-Site Request Forgery vulnerabilities using multiple techniques including token bypass and method manipulation to identify security weaknesses.
Learn techniques for integrating external APIs and resources, including AJAX requests, third-party libraries, and asynchronous operations, for efficient development workflows.
Improve story text with targeted techniques like Golden Shadow, Environmental expansion, and Prose Smoothing to achieve desired enhancement levels with UNO-MCP.
Enables AI agents to safely explore directories, read files, search content by pattern or filename, and edit files with checksum verification and dry-run preview within sandboxed filesystem access.
A local vector database system that provides LLM coding agents with fast, efficient semantic search capabilities for software projects via the Message Control Protocol.
A very simple vector store that provides capability to watch a list of directories, and automatically index all the markdown, html and text files in the directory to a vector store to enhance context.