# Siril MCP Server

> Use this tool when you need to automate and enhance astronomical image processing for Seestar telescope images. It solves problems related to binary detection, version management, and mosaic processing, providing a streamlined interface for project analysis and optimization. The Siril MCP Server integrates with Siril software, accepting image files as input and producing processed images and analysis reports as output.

Canonical page: https://skillsregistry.net/skills/taco-ops-siril-mcp  
JSON: https://api.skillsregistry.net/v1/skills/taco-ops-siril-mcp

## Description

An MCP server that integrates with Siril astronomical image processing software to process Seestar telescope images, offering tools for binary detection, version checking, mosaic processing, and project analysis.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/vxac10dc56)
- **Repository:** <https://github.com/taco-ops/siril-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": "taco-ops-siril-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/taco-ops-siril-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/taco-ops-siril-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