Deep Research
Use any LLMs (Large Language Models) for Deep Research. Support SSE API and MCP server.
by u14app · u14app/deep-research
Install
See GitHub repository for installation instructions.
How to use Deep Research with Claude
Deep Research is a Model Context Protocol (MCP) server that gives Claude and other AI agents direct access to ai & ml capabilities. Once installed, you can use it in Claude Desktop, Cursor, VS Code with GitHub Copilot, or any MCP-compatible client.
Setup
- Clone or install from the GitHub repository
- Follow the README for environment setup and credentials
- Add the server to your MCP client config (claude_desktop_config.json or .cursor/mcp.json)
- Restart your client — Deep Research will appear in the available tools list
About Deep Research
Deep Research is an open-source MCP server in the AI & ML category, built in JavaScript. It connects Claude and other MCP-compatible clients to ai & ml systems directly. Source available on GitHub.
Use cases for AI & ML MCP servers
- →Chain AI models and pipelines from a single interface
- →Query model outputs and fine-tuning runs programmatically
- →Automate eval pipelines and benchmark comparisons
- →Connect AI agents to specialized ML infrastructure
Where Deep Research fits in an MCP workflow
Teams use Deep Research to give Claude a direct bridge into ai & ml workflows, so routine actions happen inside the AI client instead of across separate tabs and dashboards.
Deep Research can be connected to MCP clients by following the repository setup instructions, making it useful for teams that want AI access to ai & ml systems.
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