MOSTLY AI MCP Server

A Model Context Protocol (MCP) server with OAuth 2.1 support for LLM agents to interact with the MOSTLY AI Platform.

Available Tools

Tool	Description
get_platform_info	retrieve information about the platform
get_user_info	retrieve information about the current user
get_models	retrieve a list of available models of a specific type
get_computes	retrieve a list of available compute resources for tasks
list_connectors	list all available connectors
get_connector	get details of a specific connector
create_connector	create a new connector and optionally test the connection
get_connector_locations	list available locations (schemas, tables, buckets, etc.) for a connector
get_connector_schema	get the schema of a table or file at a connector location
read_connector_data	read data from a connector location
write_connector_data	write data to a connector location (currently disabled)
query_connector	execute a read-only SQL query against a connector's data source
list_generators	list all available generators
get_generator	get details of a specific generator
poll_generator_progress	poll progress of a generator training job
train_generator	train a new generator with provided data or configuration
clone_generator	clone an existing generator
get_synthetic_dataset	get details of a specific synthetic dataset
poll_synthetic_dataset_progress	poll progress of a synthetic dataset generation job
generate_synthetic_dataset	generate a synthetic dataset using a generator
list_synthetic_datasets	list all available synthetic datasets
probe_generator	probe a generator for a new synthetic dataset (quick sample)

Usage of Remote Server

Prerequisites

An MCP host that supports the latest MCP specification and remote servers, such as Claude, VS Code and Cursor.

Installation

<details>

<summary>Claude Desktop or Web UI</summary>

Search and tools -> Add integrations -> Add integration -> Set Integration name to the name of your choice (e.g., mostlyai) and Integration URL to https://mcp.mostly.ai/sse.

</details>

<details>

<summary>VS Code (>= v1.101)</summary>

For quick installation, please use the one-click button above. Alternatively, one can add the following JSON to .vscode/mcp.json (for the workspace) or the global settings.json (for the user).

{
  "servers": {
    "mostlyai": {
      "url": "https://mcp.mostly.ai/sse"
    }
  }
}

</details>

<details>

<summary>Cursor</summary>

For quick installation, please use the one-click button above. Alternatively, one can add the following JSON to ~/.cursor/mcp.json.

{
    "mcpServers": {
      "mostlyai": {
        "url": "https://mcp.mostly.ai/sse"
      }
    }
}

</details>

Development

Setup virtual environment

uv sync --frozen

Start the server locally

1. Set the necessary environment variables (see .env.example)
2. uv run mostlyai-mcp-server --port 8000
3. Connect to the server with the configuration described in the above section, but change the url to http://localhost:8000/sse.

Debug

We recommend to use the Anthropic's MCP Inspector for testing and debugging by running npx @modelcontextprotocol/inspector.