"A tool or add-on for sorting emails on Thunderbird in Linux" 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/
AppDeploy turns app ideas described in AI chat into live full-stack web applications
Deploy a live web app from one sentence. build_app + poll to a public HTTPS URL you own.
Deploy and host AI-built websites on EU infrastructure, straight from your AI agent.
Deploy a GitHub repo to a live HTTPS URL from your AI tool; read logs, set variables, resize apps.
Let Claude and ChatGPT publish real websites — iterate in previews, keep the good one.
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.
Build, version, review, and export websites, web apps, and games from a conversation.
Claude Code / MCP skills for the dev pipeline: discover, spec, design, build, ship, operate.
Read-only GitHub bounty, agent harness, Actions failure, flake, and MCP tool-drift decisions.
Monitoring that agents set up for themselves — cron jobs, CI/CD pipelines and AI agent runs.
Go MCP server for GitLab: 2 dynamic tools reach 1000+ REST/GraphQL actions. Free/CE, no paid tier.
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.
Keep a target database continuously in sync with a source on another provider, then promote it.
Build a real website from a chat — then run it: read messages, check traffic, publish changes.
Deploy and host the apps your AI assistant builds — a real server, database, and shareable URL.
Identify a configuration label for a release brief