"Information about SQL" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
formcarry handles everything after your form is submitted: it emails you, auto replies to the person who submitted, filters spam, and delivers webhooks. You write the HTML form and set its action to a URL formcarry gives you. An agent can create a form, wire the emails and webhooks, and answer questions about the submissions, like how many signups last week.
Query your own databases and Data Sets with read-only SQL, and build hosted dashboards.
Every spreadsheet is a table: Excel, CSV, Parquet and JSON as SQL tables for AI agents.
Every spreadsheet is a table: upload Excel, CSV, Parquet or JSON files and query them in SQL (Apache DataFusion), with joins across formats, schema and column statistics. Hosted tableski server; connect with your tableski.io access token. Open source: github.com/yarenty/tableski
ParseHub.dev is a hosted document-to-records service with a remote MCP server. Agents can upload a CSV, PDF, or Word file, summarize and analyze CSV data (filter, sort, group_by, and more), read text from PDF and Word files, extract attendees, agenda items, and action items from meeting notes, ask a question about an uploaded document, and store files as database records to list and read later. Each account sees only its own files and records. **Endpoint:** `https://parsehub.dev/mcp` (Streamable HTTP, stateless) **Auth:** API key in the `X-API-Key` header (keys start with `mcp_`), or `Authorization: Bearer <API key or JWT>`. Every request without credentials returns 401. **Plans:** Free (100 API requests/month, 1 document upload), or 5,000 requests/month on the $9/month or $42/year plan. Every MCP request counts toward the allowance. **Tools:** upload_csv, summarize_csv, analyze_csv, upload_document, read_document, extract_meeting_notes, ask_document, database_status, list_database_documents, get_database_document, store_document, extract_stored_meeting_notes, export_database (administrators only). Not affiliated with ParseHub (parsehub.com), the web-scraping tool. ParseHub.dev does not scrape websites. By Poietes LLC. Docs: https://parsehub.dev/guide#connect-via-mcp
Scans text for personally identifiable information — emails, phone numbers, SSNs, credit card numbers, physical addresses, names — and returns a redacted version. Built for agents sanitizing user content, support tickets, logs, or documents before storage, sharing, or feeding into another LLM call. Pay-per-call via x402 (USDC on Base): $0.01/call, no account or API key. tools/list and /openapi.json are free for discovery.
Convert JSON to TOON (about 43% fewer LLM tokens) and TOON back to JSON. Free, no auth.
Ask questions about a CSV in plain English and get answers, charts and cleaned data back.
Push CSV, TSV, JSON, JSONL or Parquet from your agent and get a link a human can explore: filters, column charts, SQL, pinned findings and what changed since the last push. Viewing is free, no signup; anonymous datasets live 7 days. Tools: push, pin_finding, get_dataset, list_datasets, delete_dataset, get_limits. Docs: https://rows.page/docs/mcp
The official Model Context Protocol server for Ambee. It gives any MCP-compatible AI assistant — Claude, ChatGPT, Cursor, VS Code, Ollama, and more direct access to live air quality, pollen, and weather data. To get started, including information on signing up and obtaining your Ambee key, check out the Ambee documentation on https://docs.ambeedata.com
Query a TikTok data warehouse (creators, videos, sounds, daily history) with read-only SQL.
Join two lists of JSON rows on a key, like SQL or VLOOKUP: left, inner, full, anti joins, union.
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
AI access to Quadratic spreadsheets: open files, run Python/SQL, query connected databases.
Your Databricks Lakehouse in natural language: run SQL on your SQL warehouses, track long-running qu
LastDatabase is an OAuth-enabled MCP server providing AI assistants with access to B2B and B2C lead data. Discover business contacts, search companies and professionals, access available contact information, and verify email addresses through supported tools. Integrates with ChatGPT, Claude, and other MCP-compatible AI clients. Customer authentication, data access, and usage limits are managed through individual LastDatabase accounts.
Read your Iceberg tables hosted in Europe: find tables, run read-only SQL, view photos.
Read-only access to business data from Exact Online, Twinfield, AFAS, Nmbrs, Moneybird, HubSpot and 30+ other sources for ChatGPT, Claude and other MCP clients. DigiData syncs each source into a dedicated PostgreSQL database per customer; the MCP server exposes bounded tools (list_sources, list_tables, describe_table, query_table, aggregate_table, get_sync_status) over admin-approved tables and columns only. OAuth 2.1, no write tools, no arbitrary SQL.
Query and join across SaaS tools, SQL, and NoSQL databases through one unified SQL interface.
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.
Hybrid Model Context Protocol (MCP) server for Dadeland Cloud Data Warehouse and Business Intelligence (BI) platform. Enables AI assistants to inspect schemas, run analytical SQL queries, explore dashboards, and manage data activation pipelines.
Kamai is an AI-powered construction blueprint intelligence platform that automatically extracts quantities, measurements, objects, rooms, walls, and other structured data from construction drawings. Through MCP, you can connect Kamai directly to AI assistants and ask questions about your plans in natural language, generate takeoffs and tables, analyze relationships between building elements, and use blueprint data inside broader estimating, procurement, and construction workflows. Kamai turns
Connect your AI assistants to Keboola and expose your data, transformations, SQL queries, ...
A collaborative substrate over your data: vector, knowledge graph, SQL, geospatial, streaming.
Query your data in plain English or SQL, build datasets, and fit Bayesian models.
Cookieless web analytics an agent creates and queries: goals, funnels, revenue, SQL. Open source.
Shared, versioned tables with units, links and SQL. Agents read what your data means.
Team metric definitions for data agents. Learns from corrections, tracks SQL answer accuracy.
Company and industrial data for AI assistants: datasets, SQL, dashboards, alarms, with approvals.
AI data analyst: ask about your Excel, CSV, GA4 or database data and get charts and dashboards back
