LaunchKit · 2026
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nemo

Search engine for MCP tools and agent skills.

0
866 downloads
by @mootbing

Setup & Installation

openclaw skills install @mootbing/nemo

Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:

npx clawhub install nemo

Version History

v1.0.2Feb 12, 2026 - Version note by skill developer:

**Summary:** Migrated skill metadata files and significantly expanded documentation. - Renamed metadata files from SKILL.md/SKILL.yaml to skill.md/skill.yaml. - Greatly expanded documentation with detailed sections on available tools, HTTP API usage, and workflow. - Added support and docs for searching both MCP server tools and agent skills (790+ tools, 760+ skills). - Introduced new get_skill capability for retrieving full agent skill instructions.

What This Skill Does

Search engine for MCP tools and agent skills. Covers 790+ MCP server tools and 760+ agent skills searchable by keyword. Supports calling remote MCP tools directly and retrieving full skill instructions without local installation.

Combines discovery and invocation of 1500+ distributed tools and skills in a single API, eliminating the need to maintain a local catalog or pre-install servers.

When to use it

  • Finding an MCP tool for a specific file conversion task
  • Checking what agent skills exist for web scraping before picking one
  • Calling a remote MCP tool without installing its server locally
  • Fetching full SKILL.md instructions before committing to a skill
  • Letting an AI agent dynamically discover and invoke capabilities at runtime

Example Workflow

Here's how your AI assistant might use this skill in practice.

INPUT

User asks: find and use an MCP tool for image resizing

AGENT
  1. 1Call search_tools with keyword 'image resize' and source='mcp'
  2. 2Review returned tool names, server endpoints, and titles
  3. 3Identify the matching tool and its serverEndpoint and toolName
  4. 4Call call_tool with the endpoint, tool name, and required args
OUTPUT

Remote MCP tool executes the image resize and returns the result