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AgentDock MCP Server

AgentDock/AgentDock

Score: 70.8 Rank #3881 Agent Framework
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Framework retired. Prompts and document generators moved to AgentDock/prompt-library, the book to AgentDock/ai-agents-book. See the pinned issue.

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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

MDX MIT
llmai-agentsagent-skillsmcpprompt-libraryprompts

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 1,770

1,770 stars → well-known project

Freshness 25% 4mo ago

Last commit 4mo ago → stale

Issue Health 25% 88%

23/26 issues closed → responsive maintainer

Contributors 10% 11

11 contributors → active community

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A
PyPI Downloads N/A
Forks 132
Description Good
License MIT

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

How to Improve

Description low impact

Expand your description to 150+ characters for better discoverability

Freshness high impact

Last commit was 120 days ago — a recent commit would boost your freshness score

Dependents medium impact

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

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Matched Queries

topic:mcp

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 au
Read full README on GitHub →

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