Llm Responses

v1.0.0Coding Agentsstable

MCP server for llm responses

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What is Llm Responses?

Llm Responses is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to mcp server for llm responses

MCP server for llm responses

This server falls under the Coding Agents category on MCPgee, the world's largest MCP server directory with 33,000+ servers.

Features

  • MCP server for llm responses

Use Cases

Response generation management
LLM output handling
Community

Maintainer

LicenseMIT
Languagetypescript
Versionv1.0.0
UpdatedN/A
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux

Installation

NPM

npx -y llm-responses

Manual Installation

npx -y llm-responses

Configuration

Configuration Details

Config File

claude_desktop_config.json

Performance

Response Metrics

Response Time< 200ms
ThroughputMedium

Resource Usage

Memory UsageLow
CPU UsageLow

Frequently Asked Questions about Llm Responses

What is Llm Responses?

Llm Responses is a Model Context Protocol (MCP) server that mcp server for llm responses It connects AI assistants to external tools and data sources through a standardized interface.

How do I install Llm Responses?

Install via npm with the command: npx -y llm-responses. Then add the server configuration to your AI client's JSON config file (e.g., claude_desktop_config.json or .cursor/mcp.json).

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. You can use it freely in both personal and commercial projects.

Browse More Coding Agents MCP Servers

Explore all coding agents servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.

Quick Config Preview

{ "mcpServers": { "llm-responses": { "command": "npx", "args": ["-y", "llm-responses"] } } }

Add this to your claude_desktop_config.json or .cursor/mcp.json

Read the full setup guide →

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