Work on dataset metadata with MLCommons Croissant validation and creation.
Work on dataset metadata with MLCommons Croissant validation and creation.
A Python-based service for managing ML model provenance and lineage, built with FastAPI and SQLAlchemy. Support for Croissant metadata validation.
Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.
{
"mcpServers": {
"mlcbakery": {
"command": "uvx",
"args": ["poetry"],
"env": {
"DATABASE_URL": "your-value",
"ADMIN_AUTH_TOKEN": "your-value"
}
}
}
}Add to claude_desktop_config.json, then restart Claude Desktop.
| Variable | Description | Required |
|---|---|---|
| DATABASE_URL | Endpoint or connection string the server talks to. | Yes |
| ADMIN_AUTH_TOKEN | Credential the server authenticates with. | Yes |
Read, search and edit files inside allowed directories with the Model Context Protocol reference Filesystem server.
Retrieve version-aware library documentation and code examples with Context7 MCP, using resolve-library-id and query-docs.
MCP Servers to access PolarDB.
Transform natural language queries into GraphQL queries using an MCP (Model Context Protocol) server that integrates seamlessly with AI assistants
Reduce your AI agent's token waste with collective intelligence — SaaS integration recipes, error resolution, and monthly efficiency reports
Localization as code — CLI and SDK for i1n