# SwarmLabs MCP Server

> SwarmLabs MCP Server — lm203688-swarmlabs-engine-kit. Use this tool when you need to run physics-informed scientific experiment predictions with uncertainty reporting, or when you want to perform parameter sweeps and analyze results from various engines. It exposes predictions as MCP tools, allowing agents to list engines and execute experiments with honesty-first uncertainty quantification. Ideal for applications requiring robust and reliable scientific simulations with transparent uncertainty estimation.

Canonical page: https://skillsregistry.net/skills/lm203688-swarmlabs-engine-kit  
JSON: https://api.skillsregistry.net/v1/skills/lm203688-swarmlabs-engine-kit

## Description

Exposes SwarmLabs physics-informed scientific experiment predictions as MCP tools, enabling agents to run predictions, list engines, and perform parameter sweeps with honesty-first uncertainty reporting.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** data-analytics
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/fidjapz89s)
- **Repository:** <https://github.com/lm203688/swarmlabs-engine-kit>

## 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": "lm203688-swarmlabs-engine-kit"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/lm203688-swarmlabs-engine-kit` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/lm203688-swarmlabs-engine-kit/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
