# EGIPCI MCP Server

> Use this tool when you need to access and query archaeological site information from the Generalitat de Catalunya's EGIPCI service, enabling retrieval of Catalan archaeological data for AI editing purposes, with input parameters for site queries and outputting relevant data for further processing. It solves problems of data accessibility and integration for AI editors working with Catalan archaeological data. Ideal for use cases requiring authoritative and up-to-date information on Catalan archaeological sites.

Canonical page: https://skillsregistry.net/skills/d0whc3r-egipci-mcp  
JSON: https://api.skillsregistry.net/v1/skills/d0whc3r-egipci-mcp

## Description

MCP server for querying archaeological site information from the EGIPCI service of the Generalitat de Catalunya, enabling AI editors to access Catalan archaeological data.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/dnh4tnk1g8)
- **Repository:** <https://github.com/d0whc3r/egipci-mcp>

## 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": "d0whc3r-egipci-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/d0whc3r-egipci-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/d0whc3r-egipci-mcp/pull`

---
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