Is the FLUJO MCP server actively maintained?

The FLUJO MCP server was last committed today and has 10 contributors. Issue health: 90% of issues resolved. AgentRank freshness score reflects real-time maintenance activity.

FLUJO MCP Server

Name: mario-andreschak/FLUJO
Rating: 4.7 (1 reviews)
Author: mario-andreschak

mario-andreschak/FLUJO

Score: 91.5 ↓ 2.2% Rank #254 Agent Framework

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Multi-Agent + Automation Harness: Graph-based Workflows, MCP, Self-Improving Agents. NextJs+React

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Overview

mario-andreschak/FLUJO is a TypeScript tool licensed under MIT. Multi-Agent + Automation Harness: Graph-based Workflows, MCP, Self-Improving Agents. NextJs+React Topics: agentic-ai, agentic-framework, agentic-workflow, ai-chat, automation, autonomous-agents, claude, claude-code, gemini, llm-agents, mcp, mcp-client, mcp-server, multi-agent, multi-agent-systems, ollama, openai, pocketflow, workflow, workflow-automation.

Ranked #254 out of 24842 indexed tools.

In the top 2% of all indexed tools.

Has 10 contributors.

Actively maintained with commits in the last week.

Ecosystem

TypeScript MIT

agentic-aiagentic-frameworkagentic-workflowai-chatautomationautonomous-agentsclaudeclaude-codegeminillm-agentsmcpmcp-clientmcp-servermulti-agentmulti-agent-systemsollamaopenaipocketflowworkflowworkflow-automation

Score Breakdown

Stars 15% 660

660 stars → growing community

Freshness 25% today

Last commit today → actively maintained

Issue Health 25% 90%

459/511 issues closed → responsive maintainer

Contributors 10% 10

10 contributors → active community

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A

PyPI Downloads N/A

Forks 93

Description Good

License MIT

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

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Markdown

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Details

Stars: 660
Forks: 93
Open Issues: 52
Closed Issues: 459
Contributors: 10
Dependents: —
Language: TypeScript
License: MIT
Last Commit: today

Matched Queries

topic:mcptopic:mcp-server

From the README

<div align="center">

# FLUJO

### Build private AI agents visually. Run them your way.

**Connect your AIs and apps, build an agent, then talk to it, automate it, or call it from other software.**

FLUJO is open-source and local-first. Start with the guided setup, build agents as simple step-by-step recipes or expert visual flows, inspect every run, and expose the same agents through OpenAI-compatible and MCP endpoints — while your keys and data stay under your control.

**Simple + visual builders** · **MCP-native** · **Multi-model** · **Built-in debugger** · **Automation**

[**Visit flujo.com.co →**](https://flujo.com.co/) · [**Watch the 2:28 product film →**](https://flujo.com.co/short/) · [**Install FLUJO ↓**](#-quick-install-recommended) · [**Explore features ↓**](#-key-features) · [**Try FLUJO online →**](https://try.flujo.com.co/)

</div>

>`FLUJO is too complicated? You are missing a feature or are stuck on something?`
>Hop into the [Discord](https://discord.gg/KPyrjTSSat),
>or

Read full README on GitHub →

See alternatives to mario-andreschak/FLUJO → Browse agent-framework category → Best Agent Framework MCP servers → Compare mario-andreschak/FLUJO → A2A vs MCP: Agent Protocol Comparison →What is MCP? Model Context Protocol Explained →

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