FradSer/mcp-server-mas-sequential-thinking
An advanced sequential thinking process using a Multi-Agent System (MAS) built with the Agno framework and served via MCP.
This tool helps you get more comprehensive and nuanced answers from your Large Language Model (LLM) client. Instead of a single response, it feeds your initial query through a team of specialized AI agents, each looking at the problem from a different angle like facts, risks, creativity, or emotions. The system then synthesizes these diverse perspectives into a single, well-rounded answer, ideal for professionals who need deep, multi-faceted analysis.
291 stars.
Use this if you need your LLM to go beyond simple answers and provide a structured, multi-perspective breakdown of complex questions or problems.
Not ideal if you're looking for a standalone chat application, as this runs as a background service that enhances existing LLM clients.
Stars
291
Forks
44
Language
Python
License
—
Category
Last pushed
Mar 11, 2026
Commits (30d)
0
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