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Daviidro

speckle-mcp

by Daviidro
OverviewSchemaRelated ServersScoreDiscussions
Python
Remote

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
SPECKLE_TOKENYesYour Speckle personal access token (from Profile -> Personal Access Tokens)
SPECKLE_SERVERNoSpeckle server URL (default: app.speckle.systems)app.speckle.systems

Capabilities

Features and capabilities supported by this server

CapabilityDetails
tools
{
  "listChanged": false
}
prompts
{
  "listChanged": false
}
resources
{
  "subscribe": false,
  "listChanged": false
}
experimental
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
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.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

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