Remote data science agents for Snowflake, Databricks & BigQuery in Claude/Cursor via MCP
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Scored across 6 tools
Each tool has a distinct purpose: chat start, chat status, agent creation, agent listing, usage guide, and user info. No overlap or ambiguity between them.
Most tools follow a verb_noun snake_case pattern (e.g., agents_chat_start, agents_create). However, usage_guide and user_info deviate slightly as noun_noun, which introduces minor inconsistency.
Six tools is well-scoped for an agent management server, covering essential operations without excess. Each tool serves a clear need.
The tool set covers core workflows: creating and listing agents, starting and checking chats, and retrieving user/usage info. Minor gaps like missing update/delete for agents exist but are not critical.
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
agents_chatagents_chat_startagents_chat_statusagents_createuser_infoagents_chatagents_listusage_guideOne MCP endpoint for Claude, GPT & Gemini: 100+ tools + no-code connectors + agent workers.
Query your warehouse or a CSV with Claude/ChatGPT over MCP, governed by table-level ACL + audit.
Analytical memory for AI agents: a real Postgres queried in plain English over MCP. One command.
Let AI agents query data and act across all your business apps via MCP.
Add one secure layer between your agents and this server.
