# simap

> simap — pipeworx-io-mcp-simap. Use this tool when you need to access and query Swiss public procurement data, including tenders and awards, to inform business decisions or research. It solves problems related to finding and analyzing procurement opportunities, providing a natural language interface for easy querying. The simap tool takes natural language queries as input and returns relevant procurement data as output, making it useful for businesses, researchers, and policymakers seeking insights into the Swiss public procurement landscape.

Canonical page: https://skillsregistry.net/skills/pipeworx-io-mcp-simap  
JSON: https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-simap

## Description

Provides access to Swiss public procurement tenders and awards data, queryable via natural language through the Pipeworx gateway.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** maps-location
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/yh9h4ffktg)
- **Repository:** <https://github.com/pipeworx-io/mcp-simap>

## 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": "pipeworx-io-mcp-simap"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-simap` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-simap/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