Sequential Thinking Multi-Agent System
by fradser · AI & ML · mcp-server, pypi
Orchestrates a team of specialized agents working in parallel to break down complex problems through structured thinking steps, enabling multi-disciplinary analysis with greater depth than single-agent approaches.
Sequential Thinking Multi-Agent System (MAS) implements a coordinated team of specialized AI agents to break down complex problems through structured thinking steps. Built by Frad LEE using the Agno framework and DeepSeek models, this server orchestrates a Team Coordinator, Strategic Planner, Researcher (with Exa search capabilities), Core Analyzer, Quality Controller, and Integration Specialist working in parallel to process thoughts with greater depth than single-agent approaches. The implementation supports revision steps, branching analysis paths, and provides detailed guidance throughout the thinking process, making it particularly valuable for multi-disciplinary problem solving requiring diverse expertise and comprehensive analysis.
Source: https://github.com/fradser/mcp-server-mas-sequential-thinking
Install
uvx mcp-server-mas-sequential-thinkingTags: mcp-server, pypi
⭐ 295 GitHub stars · Source: pulsemcp
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Frequently asked questions
How do I install Sequential Thinking Multi-Agent System?
Add the install command above to your Claude Code, Cursor, or Windsurf MCP configuration. Most servers register via npx, a local command, or a Docker image. Refer to the source repository for environment variables and credential requirements.
Which clients support Sequential Thinking Multi-Agent System?
Any MCP-compatible client works: Claude Desktop, Claude Code CLI, Cursor, Windsurf, Zed, and VS Code with the official MCP extension. OpenAI Codex and GitHub Copilot increasingly support MCP via adapter bridges.
Is Sequential Thinking Multi-Agent System free?
The server itself is typically open source. Any upstream service (API keys, paid tiers, hosted infrastructure) may have its own pricing. Check the source repository for details.