Siril MCP Server
Related Servers
Alternatives to Siril MCP Server
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityAmaintenanceEnables MCP hosts to control ZWO Seestar telescopes over ASCOM Alpaca, including pointing, imaging, and downloading frames. It also provides a companion astro-mcp server for stacking and processing captured frames.8 npmMIT
- AlicenseBqualityDmaintenanceAn MCP server for controlling astronomy equipment, supporting Dark Dragons Astronomy devices and any ASCOM Alpaca-compatible equipment.437 npmISC
- AlicenseBqualityDmaintenanceMCP server that provides tools to query 17+ astronomical databases (e.g., SIMBAD, VizieR, Gaia) via HTTP/TAP APIs, enabling AI applications to access astronomical data through natural language.239 npm2BSD 3-Clause
- AlicenseAqualityBmaintenanceA local, open-source MCP server that wraps astronomy data services (SIMBAD, JPL Horizons, VizieR, etc.) behind a conversational interface, enabling AI assistants to answer astronomy questions with real, typed, and provenance-tracked data.13MIT
- AlicenseNot gradedqualityCmaintenanceAn MCP server providing tools for image processing operations91 PyPI330PythonMIT
- AlicenseNot gradedqualityCmaintenanceMCP server for the INDIGO astronomy automation protocol, enabling AI agents to control telescopes, cameras, focusers, filter wheels, domes, and other observatory equipment through natural language.MIT
TDQS
Scored across 7 tools
Each tool has a clearly distinct action: checking version, finding binary, validating binary, processing mosaic, preprocessing with GUI, downloading scripts, and checking project structure. Even the three binary-related tools are easily told apart by their different verbs and purposes.
All tool names follow a consistent snake_case verb_noun pattern, with verbs like check, find, validate, process, preprocess, download, and check. There is no mixing of styles or vague naming.
With 7 tools, the set is well-scoped and each tool serves a clear purpose within the Siril/Seestar workflow. It is neither too sparse nor overloaded.
The tool set covers the core lifecycle for Seestar image processing: ensuring the environment is correct, downloading needed scripts, checking project structure, and running the two main processing workflows. Minor gaps exist (e.g., no tool to fix project structure issues), but agents can work around them.