# ai.llmse/mcp

> Use this tool when you need to leverage a public MCP server for large language model (LLM) search engine capabilities, solving problems related to information retrieval and knowledge discovery. It accepts search queries as input and returns relevant results, enabling efficient and accurate searching. Ideal for use cases requiring advanced search functionality and LLM-based insights.

Canonical page: https://skillsregistry.net/skills/ai-llmse-mcp  
JSON: https://api.skillsregistry.net/v1/skills/ai-llmse-mcp

## Description

Public MCP server for the LLM Search Engine

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.3.12
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-02

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.llmse%2Fmcp)

## Use it

MCP endpoint published by the skill: `https://llmse.ai/mcp`

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "ai-llmse-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ai-llmse-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ai-llmse-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt