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"Information about AutoIt scripting language" matching MCP connectors:

GET /v1/connectors – MCP directory API reference

Matching 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.

  • Faldaro turns the PDFs your business runs on into working web forms. Drop in a scanned form and AI builds it — fields, options, pricing rules — in about 30 seconds. Share a public link anyone can fill, no account needed. Totals are computed server-side so no one can tamper with a number, and every submission routes itself through your workflow — approvals, e-signatures, payments. From claims intake to inspections to grants: if it's a form, Faldaro runs it.

  • 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.

  • 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

  • Your Databricks Lakehouse in natural language: run SQL on your SQL warehouses, track long-running qu

  • Interact with your Google Cloud Datastream resources using natural language commands.

  • 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

  • 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.

  • Query BigQuery, Snowflake, Redshift & Azure Synapse with natural language