Wrap Snowflake, BigQuery, Databricks, and other data platform APIs as AI-consumable integration servers. Give AI agents the tools to query, monitor, and manage your data infrastructure.
The same MigrateForce toolchain that wraps REST APIs as MCP servers — optimized for data infrastructure use cases.
The Migration Agent analyzes data platform API specs — Snowflake, BigQuery, Databricks, Supabase — and generates MCP servers that expose query, management, and monitoring operations as agent tools.
Upload data platform API specs, configure tool mappings, and generate MCP servers entirely from the command line. Fits into CI/CD pipelines and infrastructure-as-code workflows.
Pre-built Skills encode data engineering best practices — query optimization, cost-aware scheduling, data quality checks. Agents use them to make better decisions when calling your data tools.
Expose query and monitoring tools to agents while keeping DDL operations (CREATE, ALTER, DROP) excluded. You control exactly which data operations agents can perform.
Generate MCP servers for Snowflake, BigQuery, and your application database separately. Agents can then query across all three through a unified tool interface.
Code generation runs on your machine. Your database API credentials and connection strings never touch our servers. Deploy the MCP server inside your own network perimeter.
Any data platform with a REST API can become an MCP server. These are the most common starting points.
Wrap your data platform query API as an MCP tool. AI agents translate natural language questions into API calls, execute them, and return structured results.
Agents call your BigQuery or Snowflake MCP tools to pull metrics, build summaries, and generate reports on schedule — no custom ETL scripts needed.
Expose PlanetScale branch or Neon branching APIs as MCP tools. Agents can propose schema changes, create branches, and manage deploy requests through tool calls.
Wrap usage and billing APIs. Agents can track query costs, flag expensive jobs, recommend warehouse right-sizing, and enforce cost policies.
Upload the OpenAPI spec for your data platform. Snowflake, BigQuery, Databricks, and most managed platforms publish their API specs.
Review generated tool mappings. Exclude destructive operations. Group related endpoints. Add descriptions that guide agent behavior.
Set your platform base URL and auth credentials. MigrateForce generates a complete MCP server with proper error handling and input validation.
Pair the MCP server with data engineering Skills. Deploy to your infrastructure. Connect to your AI agent or Claude Desktop.
The MigrateForce CLI handles the full lifecycle. Upload your Snowflake or BigQuery API spec, configure which endpoints to expose, generate the MCP server, and attach a data engineering Skill — all from your terminal.
Pair the generated MCP server with data engineering Skills that encode best practices — cost-aware query routing, schema change review workflows, data quality checks. Agents use the Skills to make informed decisions when calling your data tools.
Upload a data platform API spec and generate your first MCP server in minutes.