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Mcp Registry Manager

Skill by orosha-ai

Why use this skill?

Discover, score, and manage MCP servers for your OpenClaw agents. Get unified access to the best tools for file systems, APIs, and databases with automated installation.

skill-install — Terminal

Install via CLI (Recommended)

clawhub install openclaw/skills/skills/orosha-ai/mcp-registry-manager
Or

What This Skill Does

The MCP Registry Manager by orosha-ai serves as the central command hub for the rapidly expanding Model Context Protocol (MCP) ecosystem. As MCP becomes the universal standard for connecting AI agents to external tools, discoverability and quality assurance have become major bottlenecks. This skill solves the fragmentation problem by aggregating servers from disparate sources like GitHub, AllInOneMCP, and community-curated lists into a single, searchable index. Beyond simple indexing, it applies a proprietary quality scoring algorithm—factoring in test coverage, documentation completeness, and maintenance history—to help users distinguish production-ready tools from experimental prototypes. It also handles the full lifecycle of these servers, including semantic discovery, installation, and dependency management, effectively turning the sprawling MCP ecosystem into a unified library of plug-and-play capabilities for your agent.

Installation

To integrate this skill into your environment, use the OpenClaw command-line interface. Run the following command in your terminal:

clawhub install openclaw/skills/skills/orosha-ai/mcp-registry-manager

Ensure that you have python3 configured in your environment as the registry manager relies on a Python-based execution script to handle the registry database and server interactions.

Use Cases

  • Production Tooling: Quickly identify and deploy high-quality, maintained MCP servers for database or file system access in enterprise workflows.
  • Agent Capability Expansion: Browse categories like 'Dev Tools' or 'Communication' to add new functional dimensions to your existing OpenClaw agents.
  • Automated Lifecycle Management: Keep all integrated tools updated automatically, ensuring your agent always benefits from the latest security patches and API changes within the MCP community.
  • Semantic Exploration: Instead of hunting through GitHub topics, search for high-level capabilities like "tools for managing cloud infrastructure" or "database query interfaces."

Example Prompts

  1. "Find me the best-rated MCP server for interacting with PostgreSQL databases and install it for me."
  2. "Search for MCP servers that provide file system operations and report their quality scores."
  3. "List all my currently installed MCP servers and check if there are any pending updates available."

Tips & Limitations

  • Use Semantic Search: Don't just search for keywords; describe your intent. The semantic engine is optimized for finding tools based on functional outcomes rather than just names.
  • Check Scores: Always prioritize servers with high maintenance scores to ensure long-term stability for your agent workflows.
  • Limitations: The skill relies on external registry metadata. If a new server has not been indexed by the source repositories (like awesome-mcp-servers or GitHub topics), it may not immediately appear in search results. Please allow time for index updates.

Metadata

Author@orosha-ai
Stars1287
Views1
Updated2026-02-22
View Author Profile
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Add to Configuration

Paste this into your clawhub.json to enable this plugin.

{
  "plugins": {
    "official-orosha-ai-mcp-registry-manager": {
      "enabled": true,
      "auto_update": true
    }
  }
}

Tags(AI)

#mcp#agent-tools#registry#productivity
Safety Score: 3/5

Flags: network-access, file-write, file-read, code-execution