Schema | Siril MCP Server

Siril MCP Server

Describes the environment variables required to run the server.

Name	Required	Description	Default
`SIRIL_BINARY`	No	Custom path to the Siril binary (optional, overrides automatic detection)

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Features and capabilities supported by this server

Protocol revision2025-11-25

Capability	Details
`tools`	{ "listChanged": true }
`logging`	{}
`prompts`	{ "listChanged": false }
`resources`	{ "subscribe": false, "listChanged": false }
`extensions`	{ "io.modelcontextprotocol/ui": {} }
`experimental`	{}

Functions exposed to the LLM to take actions

Name	Description
check_siril_versionA	Runs 'siril --version' on the local machine and returns the version string.
find_siril_binaryA	Locates the Siril binary on your system and returns its path. This is useful for troubleshooting installation issues or confirming which version of Siril will be used.
validate_siril_binaryA	Tests whether a specific Siril binary path works correctly. Useful for validating custom installations or non-standard locations.
process_seestar_mosaicA	Runs the appropriate Siril .ssf mosaic script on all FIT(S) in project_dir/lights, stacking them into a mosaic according to Seestar S30/S50 conventions. This function automatically creates the required SSF script files in your project directory, so you don't need to manually download them from the repository.
preprocess_with_guiB	Launches the full Naztronomy-Smart_Telescope_PP.py GUI in headless mode. (Requires sirilpy installed and a display server.)
download_latest_ssf_scriptsA	Downloads the latest SSF script files from the naztronaut/siril-scripts repository and saves them to your project directory. This ensures you have the most up-to-date versions of the Siril scripts.
check_project_structureA	Checks and displays the structure of a Seestar project directory, showing what files are present and what might be missing.

Interactive templates invoked by user choice

Name	Description
No prompts

Contextual data attached and managed by the client

Name	Description
No resources

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/taco-ops/siril-mcp'

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