Schema | speckle-mcp

speckle-mcp

Describes the environment variables required to run the server.

Name	Required	Description	Default
`SPECKLE_TOKEN`	Yes	Your Speckle personal access token (from Profile -> Personal Access Tokens)
`SPECKLE_SERVER`	No	Speckle server URL (default: app.speckle.systems)	app.speckle.systems

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": false }
`prompts`	{ "listChanged": false }
`resources`	{ "subscribe": false, "listChanged": false }
`experimental`	{}

Functions exposed to the LLM to take actions

Name	Description
speckle_projects_listB	List all accessible Speckle projects for the authenticated user. Projects are top-level containers that hold models.
speckle_project_detailsA	Get detailed information about a Speckle project, including its models and team members.
speckle_project_createB	Create a new Speckle project to organize models shared across your team.
speckle_models_listA	List all models in a Speckle project. Models hold versioned BIM/CAD data from connectors.
speckle_model_detailsA	Get detailed model info including full version history with author, date, and commit messages.
speckle_model_createA	Create a new model within a Speckle project, organized by discipline (Architecture, Structure, etc.).
speckle_send_instructionsA	Get connector-specific instructions for sending BIM data to Speckle. Returns guidance for Revit, Rhino, AutoCAD, etc. Does NOT transfer data — use native Speckle connectors for actual data push.
speckle_receive_instructionsA	Get version info and instructions for receiving Speckle data into BIM applications or Python. Does NOT pull objects — use native connectors or specklepy operations.receive() for data retrieval.

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/Daviidro/speckle-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server