# mcp-server

> mcp-server — posdo-io-mcp-server. Use this tool when you need to discover and access information on a vast database of restaurants across multiple countries. The mcp-server provides a comprehensive list of 356,000+ restaurants in 20 countries, solving use cases such as location-based searches and restaurant data aggregation. It accepts location-based queries as input and returns relevant restaurant data as output, making it ideal for AI agents requiring extensive restaurant information.

Canonical page: https://skillsregistry.net/skills/posdo-io-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/posdo-io-mcp-server

## Description

POS.DO MCP Server — Discovery of 356K+ restaurants across 20 countries for AI agents

## Trust

- **Trust score (0–1):** 0.63
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/posdo-io/mcp-server)

## 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": "posdo-io-mcp-server"
    }
  }
}
```

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