# LATS MCP Server

> Use this tool when you need to systematically investigate and analyze large codebases, and identify patterns and insights using Monte Carlo Tree Search. It solves problems of code complexity and manual analysis by providing intelligent insights and learning from investigation patterns. The LATS MCP Server takes in code files as input and outputs actionable insights and recommendations for improved code understanding.

Canonical page: https://skillsregistry.net/skills/slapglif-latsagentmcp  
JSON: https://api.skillsregistry.net/v1/skills/slapglif-latsagentmcp

## Description

Enables systematic code investigation using Monte Carlo Tree Search to explore codebases, analyze files, and provide intelligent insights. It features persistent memory and pattern learning for improved investigations.

## Trust

- **Trust score (0–1):** 0.41
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/sf5yusd72e)
- **Repository:** <https://github.com/slapglif/LATSAgentMCP>

## Use it

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": "slapglif-latsagentmcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/slapglif-latsagentmcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/slapglif-latsagentmcp/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