Councly
Enables AI assistants to create council hearings where multiple LLMs (Claude, GPT, Gemini, Grok) debate topics and synthesize verdicts with trust scores and diverse perspectives.
What is Councly?
Councly is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to enables ai assistants to create council hearings where multiple llms (claude, gpt, gemini, grok) debate topics and synthesize verdicts with trust scores and diverse perspectives.
Enables AI assistants to create council hearings where multiple LLMs (Claude, GPT, Gemini, Grok) debate topics and synthesize verdicts with trust scores and diverse perspectives.
This server falls under the Coding Agents category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Enables AI assistants to create council hearings where multi
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx councly-mcp-serverConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about Councly
What is Councly?
Councly is a Model Context Protocol (MCP) server that enables ai assistants to create council hearings where multiple llms (claude, gpt, gemini, grok) debate topics and synthesize verdicts with trust scores and diverse perspectives. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Councly?
Follow the installation instructions on the Councly GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with Councly?
Councly works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Councly free to use?
Yes, Councly is open source and available under the Apache 2.0 license. You can use it freely in both personal and commercial projects.
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Browse More Coding Agents MCP Servers
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Set Up Councly 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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