"Managing Vercel Projects and Their Integrations" matching MCP servers:

Enables interaction with Vercel API to manage deployments, domains, projects, and environment variables.

Enables management of Vercel projects, deployments, domains, environment variables, and teams via the Vercel REST API.

Enables AI assistants to interact with Vercel API for managing projects, deployments, domains, and environment variables.

A reference MCP server for observing Vercel projects and deployments over stdio. It provides read-only tools to list and fetch details of Vercel projects and deployments.

Provides a Model Context Protocol server to integrate Vercel API for managing projects, deployments, environment variables, and domains.

Enables interaction with Vercel's REST API through natural language. Facilitates managing deployments, projects, domains, environment variables, teams, and more.

Enables managing a Vercel account through MCP tools such as listing projects, viewing deployments and logs, and redeploying. Includes an OAuth layer so Gemini Spark can connect securely.

Enables AI assistants to interact with the Vercel REST API to manage projects, deployments, domains, environment variables, and teams through natural language commands.

Monitor failing GitHub Actions workflows, auto-fix them with OpenCode, and retry the run — driven by a workflow_run webhook, coordinated through an MCP server.

Enables MCP-capable agents to queue and evaluate real ComfyUI workflows through a live instance, returning structured pass/fail results without needing to know Playwright or ComfyUI internals.

Unofficial MCP server for Railway that enables managing Railway infrastructure through natural language, including projects, services, deployments, environments, variables, templates, domains, volumes, observability, integrations, networking, and workflows.

Deployable MCP server for GitHub and Vercel integration. Enables creating repos, pushing multiple files in a single commit, deploying projects to Vercel, managing environment variables, and combined deploy workflows via natural language.

Connects AI coding assistants to Gaffer test history and coverage data to analyze project health, debug failures, and identify untested code areas. It enables tools to track test stability, cluster failures by root cause, and monitor code coverage trends across projects.

An MCP server for managing Modal — apps, containers, volumes, and secrets — and for deploying & running Modal apps directly from Claude Code and other MCP clients.

CP server for Harbor Registry — projects, repositories, artifacts, storage reports, cleanup candidates. Works with any Harbor 2.x instance.

Enables AI coding tools to validate local projects and publish or update applications to Bedengan App Hub via API, with automated checks and live deployment without manual approval.

Automates the full setup and deployment of Ballerina + Apache ActiveMQ integrations inside a WSO2 Integrator workspace, from broker validation to a runnable BI-low-code-ready project.

MCP server (stdio, Python standard library only) with tools would_tag, check_versions, explain_label and compare: before an agent creates a release tag, would_tag answers whether that version label already names different code in the repository's git tags. Server at integrations/mcp/closure_drift_mcp.py.

A Model Context Protocol server that monitors shadow-cljs builds and provides real-time build status updates for ClojureScript projects, allowing LLMs to verify build status after making code changes.

Deploys and manages projects on Swigs Cloud from any MCP client, turning folders or git repositories into live HTTPS sites in about two minutes.