AgentDock MCP Server
AgentDock/AgentDock
[](https://agentrank-ai.com/tool/AgentDock--AgentDock/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge) Framework retired. Prompts and document generators moved to AgentDock/prompt-library, the book to AgentDock/ai-agents-book. See the pinned issue.
claude mcp add agentrank -- npx -y agentrank-mcp-server Overview
AgentDock/AgentDock is a MDX tool licensed under MIT. Framework retired. Prompts and document generators moved to AgentDock/prompt-library, the book to AgentDock/ai-agents-book. See the pinned issue. Topics: llm, ai-agents, agent-skills, mcp, prompt-library, prompts.
Ranked #3881 out of 24846 indexed tools.
Has 1,770 GitHub stars.
Has 11 contributors.
Ecosystem
Score Breakdown
1,770 stars → well-known project
Last commit 4mo ago → stale
23/26 issues closed → responsive maintainer
11 contributors → active community
No dependents → no downstream usage
Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →
How to Improve
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From the README
<p align="center"> </p> <h1 align="left">Build Anything with AI Agents</h1> AgentDock is a framework for building sophisticated AI agents that deliver complex tasks with **configurable determinism**. It consists of two main components: 1. **AgentDock Core**: An open-source, backend-first framework for building and deploying AI agents. It's designed to be *framework-agnostic* and *provider-independent*, giving you complete control over your agent's implementation. 2. **Open Source Client**: A complete Next.js application that serves as a reference implementation and consumer of the AgentDock Core framework. You can see it in action at [https://hub.agentdock.ai](https://hub.agentdock.ai) Built with TypeScript, AgentDock emphasizes *simplicity*, *extensibility*, and ***configurable determinism*** - making it ideal for building reliable and predictable AI systems that can operate with minimal supervision. <br> <br> 🌐 **AgentDock Pro Coming Soon**: Experience the future of AI auRead full README on GitHub →
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