AWS MCP Servers MCP Server Pricing 2026

Tools to read, search, and manipulate Git repositories. Full Git operations support.

The GitHub MCP server is GitHub's official Model Context Protocol integration, giving AI assistants like Claude and Cursor direct, authenticated access to the GitHub platform and its full developer surface. With this MCP server, you can ask your AI to read and write repository files, create and merge branches, open and review pull requests, comment on and close issues, trigger GitHub Actions workflows, search across code repositories with GitHub's code search, and inspect commit history — all through natural-language prompts in your AI interface. Developers use it to supercharge code review workflows, automate issue triage, generate PR descriptions from diffs, bulk-update repository settings, and wire AI agents into CI/CD pipelines. The GitHub MCP server connects via a GITHUB_PERSONAL_ACCESS_TOKEN environment variable with scopes for the operations you need, keeping authentication clean and auditable. Install with Docker: `docker run -e GITHUB_PERSONAL_ACCESS_TOKEN=<token> ghcr.io/github/github-mcp-server` — or configure it as a remote MCP server in Claude Desktop, Cursor, VS Code, Windsurf, and Cline. With over 8,000 GitHub stars, it is the most widely deployed official code-platform MCP server and the reference implementation for AI-native GitHub automation.

GitLab's official MCP server enabling AI tools to securely access GitLab project data, manage issues, and perform repository operations via OAuth 2.0.

Cloudflare's official mcp-server-cloudflare repo ships 13+ remote, domain-specific MCP servers rather than one monolith — Documentation, Workers Bindings (storage/AI/compute primitives), Workers Builds, Observability (logs/analytics), Container sandboxes, Browser Rendering (fetch pages, convert to markdown, screenshots), Logpush health, AI Gateway (prompt/response search), Audit Logs, DNS Analytics, Digital Experience Monitoring, Cloudflare One CASB, and GraphQL analytics, each hosted at its own `*.mcp.cloudflare.com/mcp` endpoint over Streamable HTTP (SSE is deprecated but still supported). For broad, code-execution-style access across many Cloudflare products at once, Cloudflare separately publishes a Code Mode server at mcp.cloudflare.com (repo: cloudflare/mcp) — pick domain-specific servers when you want curated, typed tools for one product area (e.g. just Workers or just DNS), and Code Mode when you want fewer, more general-purpose tools. Clients without native remote-MCP support connect via `npx mcp-remote https://<subdomain>.mcp.cloudflare.com/mcp` in their config; clients like the Cloudflare AI Playground accept the URL directly. OpenAI Responses API integration is also documented, requiring a scoped Cloudflare API token per server (e.g. Browser Rendering needs specific dashboard-generated permissions). Typical use: "show me why my Worker is erroring" pulls real-time observability data, or "summarize this URL" drives the Browser Rendering server to fetch and convert a live page to markdown.

The Supabase MCP server brings the power of your Supabase backend directly into your AI assistant, enabling conversational access to database, authentication, storage, and edge function features. With this server, developers can ask Claude or Cursor to query Postgres tables, inspect database schemas, manage user auth flows, upload or read files from Supabase Storage buckets, and test Edge Functions without ever leaving their IDE or chat window. This dramatically accelerates backend development and debugging by letting AI agents both read live state and perform safe, constrained operations against your project. Common use cases include asking the AI to "generate a SQL migration for a new profiles table and apply it", "check why the last auth webhook failed in the logs", or "list all users who signed up today and export their emails". It requires a Supabase Management API token and your project reference ID to authenticate. Perfect for full-stack developers building Next.js apps with Supabase, it effectively turns your AI into an expert database administrator and backend co-pilot that inherently understands your project's specific schema and row-level security policies.

The Neon MCP Server (neondatabase/mcp-server-neon) is Neon's official, open-source bridge between natural language and the Neon serverless Postgres platform. It translates conversational requests into Neon API and SQL calls, letting Claude, Cursor, VS Code, and other MCP clients create projects and branches, run queries, inspect schemas, and perform database migrations without hand-writing SQL or hitting the API directly. A standout capability is migration support built on Neon's branching: the server can spin up a branch, apply and test a schema change there, and only then merge it — so an assistant can safely run "add a created_at column to the users table" against an isolated copy first. The easiest setup is the remote hosted server at https://mcp.neon.tech/mcp, which supports both OAuth (no API key to manage) and API-key auth via the Authorization header; run `npx neon@latest init` for one-command configuration of Cursor, VS Code (Copilot), and Claude Code, or `npx add-mcp https://mcp.neon.tech/mcp` to register it across all detected editors. Requires Node.js 18+ and a free Neon account; if IP Allow is enabled, whitelist the mcp.neon.tech static IPs. Neon explicitly scopes this server to local development and IDE workflows — its README warns against production use since natural-language commands can execute powerful, irreversible database operations, so always review actions before authorizing them.