"How to Retrieve Data from Weaviate" matching MCP connectors:
Matching Connector Tools:
Deploy static sites from AI agents: deploy_site publishes files and returns a live URL in seconds.
Build, validate, deploy — HTTP APIs, cron jobs, webhooks and MCP tools — from your AI client. Air Pipe MCP token as a bearer credential, e.g. 'Authorization: Bearer <token>'. Create one at https://app.airpipe.io/
Your Expo and EAS project in natural language: up to date SDK docs, cloud builds (status, logs, trig
Deploy a live web app from one sentence. build_app + poll to a public HTTPS URL you own.
Build, version, review, and export websites, web apps, and games from a conversation.
Deploy and host AI-built websites on EU infrastructure, straight from your AI agent.
Build, validate, deploy — HTTP APIs, cron jobs, webhooks and MCP tools — from your AI client.
Manage Laravel Forge servers, sites, and deployments from your AI assistant.
Deploy a GitHub repo to a live HTTPS URL from your AI tool; read logs, set variables, resize apps.
Manage CI/CD pipelines, debug failed builds, and optimize test suites directly from your AI tools and agents - no terminal required. The CircleCI MCP Server is a remote server hosted by CircleCI that connects AI tools and agents directly to your CI/CD pipelines, giving you a conversational interface to the same pipeline, workflow, job, and artifact data you'd normally reach through the CircleCI CLI or dashboard.
Generate a typed SDK, CLI, and MCP server from any OpenAPI or GraphQL spec, and keep them current.
Deploy and manage your apps, databases, storage, and scheduled jobs from your AI agent
Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.
The MCP server for Azure DevOps, bringing the power of Azure DevOps directly to your agents.
Generate and publish changelogs, blog posts, release emails, and social posts from your commits.
Inspect and control your Northflank projects, services, jobs, and builds from your AI assistant.
Build a real website from a chat — then run it: read messages, check traffic, publish changes.
One place to build, share, and govern the skills and tools your AI agents use at work.
Plan Salesforce deploys, open pull requests and trigger pipelines from your AI client.