# Trillian MCP

> Trillian MCP — demitri-trillian-mcp. Use this tool when you need to query astronomical data across multiple archives using natural language. It solves problems of data discovery and retrieval by allowing users to search catalogs and find images by sky coordinates. The tool takes natural language queries as input and returns relevant astronomical data and images as output, making it ideal for use in astronomy research and data analysis contexts.

Canonical page: https://skillsregistry.net/skills/demitri-trillian-mcp  
JSON: https://api.skillsregistry.net/v1/skills/demitri-trillian-mcp

## Description

Enables natural language queries of astronomical data across multiple archives (Gaia, 2MASS, image holdings) via the Trillian platform, allowing users to search catalogs and find images by sky coordinates.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/hfbe4imhyp)
- **Repository:** <https://github.com/demitri/trillian_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": "demitri-trillian-mcp"
    }
  }
}
```

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