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mcp-server-mas-sequential-thinking

Active·★ 302·Updated 2026-05-19
★ Multi-Agent★ Prompt Engineering

An advanced sequential thinking process using a Multi-Agent System (MAS) built with the Agno framework and served via MCP.

This project implements an advanced sequential thinking process using a Multi-Agent System (MAS) built with the Agno framework and served via MCP. It leverages six specialized thinking agents for multi-perspective analysis and provides deterministic processing with optional web research capabilities.

#agno#mcp#mcp-server#mcp-servers#sequential-thinking
$ Install
$ git clone https://github.com/FradSer/mcp-server-mas-sequential-thinking.git && cd mcp-server-mas-sequential-thinking && uv pip install .
↗ Visit site★ GitHub
01

Features

01Multi-Agent Architecture with 6 specialized thinking agents (Factual, Emotional, Critical, Optimistic, Creative, Synthesis)
02AI-powered complexity analysis and fixed full-exploration strategy
03Optional web research via ExaTools integration on 4 agents
04Multi-model support with enhanced/standard model selection for different LLM providers
05Deterministic processing with structured output and loop control
02

Compatibility

Python
Python 3.10+
Verified via docs
03

Quick start

1
$ git clone https://github.com/FradSer/mcp-server-mas-sequential-thinking.git
2
$ cd mcp-server-mas-sequential-thinking
3
$ uv pip install .
04

Use cases

↳Complex reasoning and problem decomposition
↳Decision making with multi-perspective analysis
↳Deep analysis of topics requiring both factual and creative thinking
05

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Related searches

mcp-server-mas-sequential-thinking AlternativesBest Multi-Agent Tools 2026Open Source Multi-Agentmcp-server-mas-sequential-thinking Tutorialmcp-server-mas-sequential-thinking Vs Competitorsagnomcpmcp-server

Comments

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  • D
    Drew JohnsonMay 25, 2026

    Multi-agent sequential thinking produces more thorough reasoning than single-pass approaches.

  • J
    Justice MartinezMay 16, 2026

    Different agents handle different reasoning steps, catches blind spots in individual analysis.

  • H
    Harper ClarkApr 18, 2026

    Good for complex reasoning tasks where structured thinking produces better outcomes.

  • S
    Scout PatelMar 20, 2026

    Built with the MAS architecture to handle inter-agent coordination reliably.

On this page
01Features02Compatibility03Quick start04Use cases05Alternatives
Stats
GitHub Stars★ 302
Last commit1w ago
StatusActive
License—
CategoryMulti-Agent
Trend (30d)
+12↑ 0.3%
Links
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