"Running queries in Apache Superset" matching MCP connectors:
GET /v1/connectors — MCP directory API referenceMatching Connector Tools:
Analytical memory for AI agents: a real Postgres queried in plain English over MCP. One command.
Persistent knowledge graph for AI-augmented teams. Store decisions, findings, and standing rules across agent sessions with semantic search and typed connections. Includes cross-session memory, audit trail, workspace isolation, and secret detection. Built for teams running agents that need to remember. Free until launch with team tier as default, anon trial available.
Connect your AI to any database — PostgreSQL, MySQL, or SQL Server — in seconds.
Check shipping costs for all logistics services in Indonesia.
Find novel, statistically validated patterns in tabular data — hypothesis-free.
Reporting and queries over Astrea (Aurum), Brazilian legal-practice software: cases per client, cale
Monetized graph answers via named Cypher queries — Tollbooth DPYC operator
Your Supabase account in natural language: run SQL, apply migrations, manage tables, storage, edge f
Your Databricks Lakehouse in natural language: run SQL on your SQL warehouses, track long-running qu
Executes SQL in a real ephemeral database: rows, typed errors with suggestions, plans, diffs.
The BigQuery remote MCP server is a fully managed service that uses the Model Context Protocol to connect AI applications and LLMs to BigQuery data sources. It provides secure, standardized tools for AI agents to list datasets and tables, retrieve schemas, generate and execute SQL queries through natural language, and analyze data—enabling direct access to enterprise analytics data without requiring manual SQL coding.
Read, create, update and delete records; inspect objects, fields and schema in your Knack database.
Securely access and manage FHIR healthcare data stored in Medplum.
An MCP server for converting data between 16 formats including JSON, YAML, TOML, CSV, XML, Markdown, HTML, Excel, PDF, and more. Supports single transforms, batch fan-out to multiple targets in one call, and JSON reshaping with dot-notation path mapping. 240 conversion pairs, zero config.
Connect your AI assistants to Keboola and expose your data, transformations, SQL queries, ...
Explore your databases, validate SQL, and build & publish data apps in your Mako workspace.
List datasets, schemas, run APL queries, and use prompts for exploration, anomalies, and monitoring.
Sandbox workspace tools: search, file read, DB queries, integrations. Returns synthetic data.
Versioned agent memory in your own Postgres: portable context, permissioned, audit trail.
The all-in-one data stack for agents. Upload files, run SQL, evolve tables, and render charts.
