"Converting Natural Language to SQL Queries" matching MCP connectors:
Matching Connector Tools:
Ask Personio Recruiting the recruiting-ops questions dashboards miss by connecting applications, stage transitions, candidates, recruiting jobs, categories, org units, workplaces, jobs catalog, webhooks, event activity, and intake documents. Find stage-movement stalls, candidate freshness gaps, source quality by job/category, hiring load by department and workplace, webhook delivery issues, intake readiness gaps, and bottleneck owners. No dashboard build. No SQL.
Search live job postings from 30+ ATS feeds and job boards, normalized to one schema.
Auto-discover validation rules from data — scan, profile, health-score. No rules to write.
Excel analytics: inspect, query (JSON rows), charts, and JSON-to-xlsx workbook writing.
Governed data discovery, exact queries, decisions, simulations, and runtime utilities over MCP.
256-dim DAG Manifold engine. 10 MCP tools. 27 Stripe products. Free tier: 50 queries/day.
AI access to Quadratic spreadsheets: open files, run Python/SQL, query connected databases.
Self-hosted, open-source MCP gateway: turn any API, database or MCP server into custom connectors for Claude, ChatGPT, Gemini, Copilot & Cursor — no code. Converts REST, SOAP, WSDL, GraphQL & SQL to MCP, with OAuth2, RBAC & audit log. 175+ pre-built adapters. This is the public read-only demo endpoint — run your own at https://github.com/HelpCode-ai/anythingmcp
Connect your Nubank account to AI via Brazil's Open Finance: balances, statements, cards, investment
Interact with your Google Cloud Datastream resources using natural language commands.
Query and join across SaaS tools, SQL, and NoSQL databases through one unified SQL interface.
Map messy columns to a known schema — 7 scorers, domain dictionaries, F1 0.84. Zero config.
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.
One command to validate, transform, and deduplicate — chain GoldenCheck + Flow + Match.
AI data intelligence platform that brings your data warehouse, dashboards, monitoring, and accumulated business knowledge into any MCP client. Connects to BigQuery, Snowflake, PostgreSQL, MySQL, ClickHouse, Redshift, Databricks, SQL Server, and Azure Synapse.
Connect your AI assistants to Keboola and expose your data, transformations, SQL queries, ...
Connect your AI to all your data - 200+ sources, intelligently filtered, compliance-ready.
A collaborative substrate over your data: vector, knowledge graph, SQL, geospatial, streaming.
The all-in-one data stack for agents. Upload files, run SQL, evolve tables, and render charts.
The grounded data layer for any LLM: governed SQL, metrics, lineage and catalog over your data.