An MCP server that enables multiple LLMs to share and analyze responses for collaborative problem-solving and multi-perspective analysis using the Model Context Protocol. Directly relevant as an MCP server.
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A Model Context Protocol (MCP) server implementation for the Google Gemini language model, allowing Claude Desktop users to access the reasoning capabilities of Gemini-2.0-flash-thinking-exp-01-21.
MCP server to access and manage LLM application prompts created with Langfuse Prompt Management.
An MCP server for interacting with the Perplexity API, providing AI assistants with access to Perplexity's capabilities via MCP.
Implements a step-by-step reasoning framework for LLMs, supporting structured problem-solving and complex task execution. Includes implementation by hemangjoshi37a.
Facilitates structured product development via specialized AI roles using the Model Context Protocol, converting requirements into actionable tasks. Highlights workflow automation with MCP servers.
A Model Context Protocol (MCP) server that enhances AI-generated content to sound more natural and human-like, with features like AI detection and text refinement. Highly relevant as an example of an advanced MCP server implementation.
Category: AI Integration MCP Servers
Tags: ai-integration, collaboration, llm, mcp
Source: GitHub - kstrikis/ephor-mcp
Ephor MCP is a Model Context Protocol (MCP) server that facilitates collaborative problem-solving and multi-perspective analysis by allowing multiple LLMs (Language Model Models) to share and analyze each other's responses to the same prompt.
submit-response: Allows an LLM to submit its response to a prompt.get-responses: Retrieves all LLM responses to a prompt, with optional filtering.Ephor MCP is open-source software and is available for use under the MIT license.