agentscope MCP Server
agentscope-ai/agentscope
Build and run agents you can see, understand and trust.
claude mcp add agentrank -- npx -y agentrank-mcp-server Overview
agentscope-ai/agentscope is a Python tool licensed under Apache-2.0. Build and run agents you can see, understand and trust. Topics: agent, chatbot, large-language-models, llm, llm-agent, multi-agent, multi-modal, mcp, react-agent, realtime-agent, voice-agent, voice-assistant.
Ranked #220 out of 24840 indexed tools.
In the top 1% of all indexed tools.
Has 32,326 GitHub stars.
Used by 99 other projects.
Has 141 contributors.
Actively maintained with commits in the last week.
Ecosystem
Score Breakdown
32,326 stars → extremely popular
Last commit 1d ago → actively maintained
859/1296 issues closed → decent issue management
141 contributors → active community
99 dependents → few downstream users
26,993 weekly installs → widely installed
Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →
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[](https://agentrank-ai.com/tool/agentscope-ai--agentscope/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge) <a href="https://agentrank-ai.com/tool/agentscope-ai--agentscope/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge"><img src="https://agentrank-ai.com/api/badge/tool/agentscope-ai--agentscope" alt="AgentRank"></a> Matched Queries
From the README
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[**中文主页**](https://github.com/agentscope-ai/agentscope/blob/main/README_zh.md) | [**Documentation**](https://docs.agentscope.io/) | [**Roadmap**](https://github.com/orgs/agentscope-ai/projects/2/views/1)
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<a href="https://arxiv.org/abs/2402.14034">
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<a href="https://pypi.org/project/agentscope/">
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<a href="https://pypi.org/project/agentscope/">
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<a href="https://discord.gg/eYMpfnkG8h">
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<a href="https://docs.agentscope.io/">
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<a href="./LICENSE">
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<a href="https://deepwiki.com/agentscope-ai/agentscope">
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## What is AgentScope 2.0?
AgentScope 2.0 is a production-ready, easy-to-use agent framework with essential abstractions that keep up with rising model capability.
We design for increasingly agentic LLMs.
Our approach leverages th Read full README on GitHub → Get the weekly AgentRank digest
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