What is the Awesome-Agent-Toolkit MCP server?

zizisk185gy8b/Awesome-Agent-Toolkit is an MCP server indexed by AgentRank. Score: 49.0/100.

Is the Awesome-Agent-Toolkit MCP server actively maintained?

The Awesome-Agent-Toolkit MCP server was last committed 1d ago and has 1 contributor. Issue health: 50% of issues resolved. AgentRank freshness score reflects real-time maintenance activity.

Awesome-Agent-Toolkit MCP Server

Name: zizisk185gy8b/Awesome-Agent-Toolkit
Rating: 3.0 (1 reviews)
Author: zizisk185gy8b

zizisk185gy8b/Awesome-Agent-Toolkit

Score: 49.0 Rank #96 Agent Framework

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Overview

zizisk185gy8b/Awesome-Agent-Toolkit is a Python agent tool licensed under MIT. Topics: agent-framework, ai-agents, automation, awesome-list, llm.

Ranked #96 out of 109 indexed tools.

Actively maintained with commits in the last week.

Ecosystem

Python MIT

agent-frameworkai-agentsautomationawesome-listllm

Score Breakdown

Stars 15% 1

1 stars → early stage

Freshness 25% 1d ago

Last commit 1d ago → actively maintained

Issue Health 25% 50%

No issues filed → no history to score

Contributors 10% 1

1 contributor → solo project

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A

PyPI Downloads N/A

Forks 0

Description None

License MIT

Weights: Freshness 25% · Issue Health 25% · Dependents 25% · Stars 15% · Contributors 10% · How we score →

How to Improve

Description low impact

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Contributors medium impact

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Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

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Markdown

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HTML

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HTML

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Details

Stars: 1
Forks: 0
Open Issues: 0
Closed Issues: 0
Contributors: 1
Dependents: —
Language: Python
License: MIT
Last Commit: 1d ago

Matched Queries

"agent tool"

From the README

# Awesome-Agent-Toolkit
Awesome-Agent-Toolkit is a curated collection of tools, examples, and resources for building AI agents. The repository brings together practical components—frameworks, templates, workflows, integrations, and small utilities—that help you get agent-based projects up and running faster.

The goal is to provide a convenient starting point for those experimenting with multi-agent systems, automation, and LLM workflows.

The repository is gradually being updated with new tools and examples.

What’s inside

basic AI agent templates

Orchestration examples

Workflow and automation utilities

Data source integrations

Memory / tools / retrieval examples

Useful open-source projects

Use cases

Learning agent development

Quickly starting new projects

Exploring multi-agent approaches

Prototyping AI products

Building your own agent stack

Structure

starter templates

orchestration patterns

integrations

examples

resources

Notes

This is a curated list and toolkit,

Read full README on GitHub →