"Converting Natural Language to SQL Queries" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Deploy your project to a live HTTPS URL from your AI tool; read logs, set variables, resize apps.
API documentation drifts away from the running service, so consumers integrate against a contract nobody keeps. Routebase keeps API design, testing, mocking and documentation on one living source of truth, and this MCP server exposes that workspace to AI agents. Agents can design endpoints, write and run test suites, manage mock servers and publish documentation, always under the permissions of the connected Routebase account.
Give an agent a place to put large output. Build logs and reports get a stable versioned URL.
Check if a repo will deploy, plan a deploy to your own cloud, and see status, logs and redeploys.
Deploy AI-generated HTML/CSS/JS to instant public HTTPS URLs from any MCP-compatible agent.
Deploy a live web app from one sentence. build_app + poll to a public HTTPS URL you own.
Your Expo and EAS project in natural language: up to date SDK docs, cloud builds (status, logs, trig
Deploy applications to Cloud Run
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.
TestMu AI (Formerly LambdaTest) is a Full Stack Agentic AI Quality Engineering platform that empowers teams to test intelligently and ship faster. Engineered for scale, it offers end-to-end AI agents to plan, author, execute, and analyze software quality. AI-native by design, the platform enables testing of web, mobile, and enterprise applications at any scale across real devices, real browsers, and custom real-world environments. TestMu AI Agents accelerate your testing throughout the entire SDLC, moving beyond automation to agentic intelligence, where AI-driven agents continuously enhance the speed, accuracy, and depth of testing across the development lifecycle.
- GitHubOAuth unavailableio.github.github
Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.
Agent-native CI/CD: follow a push to live deploy, diagnose failing stages, prove fixes, rerun.
- mctlOAuth via extensionai.mctl.api
AI-native Internal Developer Platform for Kubernetes and automated GitOps. Manage infrastructure, deployments, and databases through natural language. https://mctl.ai/mcp/
Lance is an App Store Connect operator for AI agents, with real ASC credentials on remote Macs. Build, sign, and upload to TestFlight with no local Mac or Xcode (Windows, Linux, CI all work), generate complete app icon packs (every iOS and Android size, Xcode catalog), create App Store listings and metadata, configure in-app purchases and subscriptions, and fix app review rejections. The fastlane alternative for agent-driven development: Swift, React Native, and Expo all work. Free. No Card down
Direct access to Cypress tests results and accessibility reports in your AI workflow.
Triage failing GitHub Actions jobs and see what self-heal repaired, in natural language.
Connect AI agents to CloudBees Unify: feature flags, CI/CD, release orchestration, and security
The Buildkite MCP server exposes Buildkite product data (pipelines, builds, jobs, and test data) to AI tools, editors, and agents through the Model Context Protocol. It provides capabilities including pipeline creation and management, build monitoring with specialized tools like 'wait_for_build', efficient log querying using Apache Parquet conversion and caching, and OAuth-based authentication for both read-write and read-only access to Buildkite's REST API.
Host apps built with AI: deploy to a live HTTPS URL, custom domains, secrets and backups.
- SkilderOAuthai.skilder
One place to build, share, and govern the skills and tools your AI agents use at work.
