Last updated
March 16, 2026
MCP profile
Github Colabfit Colabfit Mcp
An MCP server that provides access to the ColabFit database
Developer ToolsPackagePythonOpen SourceExternal
Visibility
Public
ByRegistry
About This MCP Server
An MCP server that provides access to the ColabFit database This MCP server enables AI assistants like Claude to seamlessly interact with Github Colabfit Colabfit, providing structured access to its functionality through the Model Context Protocol (MCP).
Key Capabilities:
- Execute database queries and retrieve results
- Manage database schemas and migrations
- Monitor database performance and health
- Handle data import/export operations
Common Use Cases:
- Querying and analyzing data without writing raw SQL
- Automating database maintenance tasks
- Building data-driven applications with AI assistance
- Monitoring and optimizing database performance
How It Works: Github Colabfit Colabfit integrates with AI coding assistants and chat interfaces through the standardized MCP protocol. Once configured, your AI assistant can directly invoke Github Colabfit Colabfit's tools, enabling natural language interaction with its features without manual API calls or custom integrations.
Technical Details: Server type: Package · Language: Python
Capabilities
Calling atoms.get_charges()atoms.get_magnetic_moments()or atoms.get_dipole_moment() with a MACE calculator raises PropertyNotImplementedError — MACE does not predict these.
Tools & Endpoints
Example Workflow
1. search_datasets — find datasets with the elements/properties you need 2. download_dataset — download and auto-analyze for training suitability 3. fine_tune_mace — fine-tune the MACE-MP-0 foundation model on your data 4. use_model — run calculations or generate a reusable Python script
What Problems It Solves
- After training or fine-tuning
- the model directory contains several .model files. Use <model_name>_stagetwo.model for inference — it is the SWA-averaged final model and generally has the best accuracy. This file is only produced when SWA is enabled (the default). If SWA was disabled
- use <model_name>.model instead. The use_model tool's model_path parameter must point to the specific .model file.
Specifications
Status
live
Industry
Developer Tools
Category
General
Server type
Package
Language
Python
License
Open Source
Verified
Yes
Requirements
- Python 3.10+
- CUDA 12.x + nvidia drivers (for GPU training; CPU fallback works without CUDA)
Hosting
Hosting Options
- Package
API
Integrate this server into your application. Choose a connection method below.
1
Install
Install command
Python
pip install colabfit-mcp # search, download, check_status only2
Configure
Configuration
json
{
"mcpServers": {
"colabfit-mcp": {
"command": "colabfit-mcp"
}
}
}Performance
Usage
Quick Reference
- Name
- Github Colabfit Colabfit Mcp
- Function
- An MCP server that provides access to the ColabFit database
- Transport
- Package
- Language
- Python
- Install
- pip install colabfit-mcp # search, download, check_status only
- Source
- External (Registry)
- License
- Open Source
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