LLM Responses
Enables multiple AI agents to share and read each other's responses to the same prompt, allowing them to reflect on what other LLMs said to the same question.
What is LLM Responses?
LLM Responses is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to enables multiple ai agents to share and read each other's responses to the same prompt, allowing them to reflect on what other llms said to the same question.
Enables multiple AI agents to share and read each other's responses to the same prompt, allowing them to reflect on what other LLMs said to the same question.
This server falls under the Knowledge & Memory category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Enables multiple AI agents to share and read each other's re
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx llm-responses-mcp-serverConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about LLM Responses
What is LLM Responses?
LLM Responses is a Model Context Protocol (MCP) server that enables multiple ai agents to share and read each other's responses to the same prompt, allowing them to reflect on what other llms said to the same question. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install LLM Responses?
Follow the installation instructions on the LLM Responses GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with LLM Responses?
LLM Responses works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is LLM Responses free to use?
Yes, LLM Responses is open source and available under the MIT License license. You can use it freely in both personal and commercial projects.
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Browse More Knowledge & Memory MCP Servers
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Set Up LLM Responses in Your Editor
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Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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