"Information about SQL (Structured Query Language)" matching MCP connectors:
Matching Connector Tools:
Ask Lever the messy recruiting-ops questions dashboards miss by connecting opportunities, applications, stages, notes, feedback, interviews, referrals, postings, requisitions, offers, users, sources, tags, files, resumes, and archive reasons. Find referral SLA misses, stale opportunities by owner, feedback debt by interviewer and hiring team, funnel leakage by recruiter/source/team, requisition fill-risk, offer hygiene gaps, archive-reason drift, and bottleneck owners. No dashboard build. No SQL
Executes SQL in a real ephemeral database: rows, typed errors with suggestions, plans, diffs.
Query, join, profile, clean and convert CSV/JSON/Parquet with server-side DuckDB over MCP.
Deterministic safety, correctness & cost gate that vets Postgres SQL before your AI agent runs it.
AI access to Quadratic spreadsheets: open files, run Python/SQL, query connected databases.
No-code databases, forms, portals and AI sites. Manage records and automation via natural language.
No-code databases, forms, portals and AI sites. Manage records and automation via natural language.
No-code databases, forms, portals and AI sites. Manage records and automation via natural language.
Interact with your Google Cloud Datastream resources using natural language commands.
Interact with your Google Bigtable resources using natural language commands.
A unified biomedical graph database that integrates 50+ primary data sources — genes, proteins, compounds, diseases, pathways, and clinical data — into a single queryable graph with billions of cross-reference edges. Its native MCP server gives LLMs direct access to structured, authoritative biomedical data, complementing their reasoning with reliable identifiers and up-to-date database content.
Interact with your Google Cloud Firestore resources using natural language commands.
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.
Query and join across SaaS tools, SQL, and NoSQL databases through one unified SQL interface.
DBRE-grade SQL analysis inside any MCP client. No connection. No install. Paste a query.
Connect your AI to any database — PostgreSQL, MySQL, or SQL Server — in seconds.
Managed MCP gateway for PostgreSQL. Connect Cursor, Claude Desktop, VS Code, and Windsurf to your database with per-table permissions, encrypted credentials, and a full query audit trail. OAuth 2.0 authentication, free tier available.
Backend for vibe coders. Connect Butterbase to any MCP-compatible AI coding tool and provision a full backend automatically — database, authentication, file storage, edge functions, and real-time — from a natural language prompt. No SQL, no configuration, no backend knowledge required. Free to start at butterbase.ai.
Chrysai provides a hosted MCP server for AI-driven data operations. After connecting an MCP client to the endpoint, you can use MCP tools such as create_app, list_apps, read_data, write_data, update_data, delete_data, and update_app, plus schema resources, to manage persistent structured data through natural language.