The Model Context Protocol (MCP) is an open standard that allows AI assistants (like Claude or agents in Cursor) to securely interact with local or remote external data sources. Arivu ships with a native, robust FastMCP server interface. It translates Arivu’s sophisticated Text-to-SQL LangGraph pipeline into standardized tools that any MCP-compatible client can invoke.Documentation Index
Fetch the complete documentation index at: https://arivu.mintlify.app/llms.txt
Use this file to discover all available pages before exploring further.
Universal Compatibility
Plug into Claude Desktop, Cursor, Windows AI Studio, or any client supporting the MCP tool execution specification.
Zero-Config Agentic SQL
The MCP client only needs to pass natural language. Arivu handles schema context, SQL generation, and validation automatically.
How It Works
Traditional database MCP servers dump raw schemas and expect the LLM (like Claude) to write perfect SQL on the first try. Arivu’s MCP is different. Instead of relying entirely on the client-side LLM to execute raw queries against your database, the Arivu MCP server forces the request through the internal Arivu Verifier nodes. It ensures syntax validity, runs destructive checks, and prevents schema hallucinations before the SQL is ever executed.Arivu Pipeline Execution
The MCP server routes “How many users signed up today?” into the Arivu Engine.
Validation & Execution
Arivu generates, checks, fixes, and executes the SQL safely against your configured dialect (Postgres, Snowflake, etc.).

