Interact with cursor-agent using a prompt to generate responses in text, JSON, or markdown formats. Supports cost-effective repository analysis, code search, and task planning with configurable output options.
Search for documentation across public web, GitHub, or private resources like repos and PDFs. Use queries with programming language and framework details to retrieve relevant documentation efficiently.
Execute cursor-agent commands with specified prompts and output formats to optimize repository analysis, code search, and file editing, reducing token usage and enhancing task efficiency.
Initialize workflow rules for AI agents (cursor or copilot) to guide project development. Specify the agent and project root to deploy rules effectively.
Retrieve the active configuration of the Documentation Search MCP Server to use as a template for local overrides, ensuring consistent setup across environments.
Search official MCP protocol and FastMCP framework documentation to find relevant information for building MCP servers. Enter a query to get ranked results with URLs, titles, and content previews.
Enables users to control the cursor in Figma through verbal commands using an agentic AI agent, streamlining the design process with a new interaction method.
Enables Cursor AI to communicate with Figma for reading designs and modifying them programmatically, allowing users to automate design tasks through natural language.
A Model Context Protocol server providing tools for querying A-share stock market data, including historical prices, financial reports, market indices, and macroeconomic indicators.