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The mcp-server-mas-sequential-thinking MCP server was last committed 26d ago and has 5 contributors. Issue health: 83% of issues resolved. AgentRank freshness score reflects real-time maintenance activity.

mcp-server-mas-sequential-thinking MCP Server

Name: FradSer/mcp-server-mas-sequential-thinking
Rating: 4.2 (1 reviews)
Author: FradSer

FradSer/mcp-server-mas-sequential-thinking

Score: 79.9 ↑ 2.7% Rank #1999 Agent Framework

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

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Overview

FradSer/mcp-server-mas-sequential-thinking is a Python MCP server. An advanced sequential thinking process using a Multi-Agent System (MAS) built with the Agno framework and served via MCP. Topics: agno, mcp, mcp-server, sequential-thinking.

Ranked #1999 out of 24846 indexed tools.

In the top 9% of all indexed tools.

Ecosystem

Python No license

agnomcpmcp-serversequential-thinking

Score Breakdown

Stars 15% 305

305 stars → growing community

Freshness 25% 26d ago

Last commit 26d ago → recently updated

Issue Health 25% 83%

25/30 issues closed → responsive maintainer

Contributors 10% 5

5 contributors → small team

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A

PyPI Downloads N/A

Forks 45

Description Good

License None

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

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Details

Stars: 305
Forks: 45
Open Issues: 5
Closed Issues: 25
Contributors: 5
Dependents: —
Language: Python
License: —
Last Commit: 26d ago

Matched Queries

"mcp server""mcp-server"topic:mcptopic:mcp-server

From the README

# Sequential Thinking Multi-Agent System (MAS) 

  

**English** | [简体中文](README.zh-CN.md)

An MCP server that processes sequential thoughts through a team of specialized AI agents, each analyzing the problem from a different cognitive perspective.

## What This Is

This is an **MCP server**, not a standalone application. It runs as a background service that extends an MCP-compatible LLM client (like Claude Desktop) with structured sequential-thinking capabilities. It exposes one tool, `sequentialthinking`, that runs every thought through a fixed multi-agent workflow: an initial synthesis, several specialist agents thinking in parallel, and a final synthesis that answers the original question.

## How It Works

The system uses a fixed `full_exploration` strategy for every request. The AI complexity analyzer still runs to record diagnostic metadata (complexity score, problem type, required thinking modes), but it no longer changes the execution path — all thoughts take the same route:

Read full README on GitHub →