# agentsumo-mcp

> agentsumo-mcp — urban-ai-institute-kra35-prismx-agentsumo. Use this tool when you need to design, execute, and analyze traffic simulations through natural language interactions. It solves problems related to scenario generation, policy experimentation, and result analysis, providing outputs such as visualizations and simulation results. Ideal for use cases requiring interactive traffic simulation design and experimentation, it accepts natural language inputs and generates actionable insights and visualizations as outputs.

Canonical page: https://skillsregistry.net/skills/urban-ai-institute-kra35-prismx-agentsumo  
JSON: https://api.skillsregistry.net/v1/skills/urban-ai-institute-kra35-prismx-agentsumo

## Description

Enables interactive design, execution, and analysis of SUMO traffic simulations through natural language, providing tools for scenario generation, policy experimentation, result analysis, and visualization.

## Trust

- **Trust score (0–1):** 0.00
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/by3s5ynj2n)
- **Repository:** <https://github.com/urban-ai-institute/kra35-prismx-agentsumo>

## 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": "urban-ai-institute-kra35-prismx-agentsumo"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/urban-ai-institute-kra35-prismx-agentsumo` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/urban-ai-institute-kra35-prismx-agentsumo/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