ClawHub

Nemo

MCP Tools

Search and invoke over 1500 MCP tools and agent skills across remote servers, with access to full skill instructions and usage details.

Install

openclaw skills install nemo

Nemo — MCP Tool Search Engine

Search engine for MCP tools and agent skills. Search 790+ MCP server tools and 760+ agent skills in one place, call remote MCP tools, and get full skill instructions.

Base URL: https://nemo.25chenghua.workers.dev

MCP Tools

Nemo provides three MCP tools for discovering and invoking capabilities:

  • search_tools: Search for MCP tools and agent skills by keyword. Returns compact results by default (tool name, server, title). Set detail='full' to include descriptions and input schemas. Use source to filter by type (all, mcp, skills).
  • call_tool: Call a tool on a remote MCP server by specifying the endpoint, tool name, and arguments. Response is truncated to maxResponseChars (default 10000). Tracks latency and logs usage.
  • get_skill: Get full instructions for an agent skill. Returns the complete SKILL.md content, install command, and metadata. Use after search_tools to get detailed skill instructions.

HTTP API

Nemo also exposes REST API endpoints for direct access:

Search

curl "https://nemo.25chenghua.workers.dev/api/search?q=QUERY&limit=5&detail=compact&source=all"

Each result has a type field: "mcp_tool" or "skill".

Get Skill Instructions

curl "https://nemo.25chenghua.workers.dev/api/skill/SKILL_NAME?repo=owner/repo"

Returns the complete instructions, install command, and metadata.

Call a Remote MCP Tool

curl -X POST "https://nemo.25chenghua.workers.dev/api/call" \
  -H "Content-Type: application/json" \
  -d '{"endpoint": "SERVER_URL", "tool": "TOOL_NAME", "args": {}}'

Use the serverEndpoint and toolName from search results.

Workflow

  1. Search: curl ".../api/search?q=file+conversion"
  2. If result is type: "skill" → get instructions: curl ".../api/skill/SKILL_NAME" → follow them
  3. If result is type: "mcp_tool" → call it: POST .../api/call with endpoint, tool, args

Useful for AI agents that need to discover and invoke tools dynamically across a distributed network of MCP servers and agent skills.

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