Model Context Protocol (MCP) has become the “USB-C” for proxy/tool integration, providing front-end teams with a standard approach to design specifications, repository/PRS, deployment objectives, observability and work management, with no custom adapters in their edits and CIs. The focus of this list is on preparation for production, Remote MCP servers (OAUTH/licensing) will be clearly mapped to front-end (Fe) workflows – EG, FIGMA → GITHUB → GITER/CLUSCEL/CLOUDFLARE → CLAINS/SENTRY – Reflect fast ecosystem support from vendors and platforms. Microsoft adds MCP to Windows, while Vercel and Cloudflare release server templates and directories for First Class, making MCP a pragmatic choice for front-end (FE) automation in 2025.
- CloudFlare MCP Server (Catalog): Hosting a remote MCP server integrated with CloudFlare accounts; CloudFlare also documents how to deploy its own remote server on its platform. Workers/pages in FE pipelines, KV/R2 and Edge automation are useful.
- Concept MCP (hosting + community): OAuth supported hosted servers to read/write documents, tasks, specifications; ready for production community servers to provide alternatives. Perfect for product specifications, design notes and running books.
- GitHub MCP Server: Read/modify code, questions, PR; automate repo tasks and code reviews your agent or editor’s workflow. GitHub’s official server.
- GitLab MCP Server: Similar surface area to github, but for gitlab; supports Oauth DCR and secure access to projects, issues and MRS (suitable for self-maintainers).
- Vercel MCP (Server Template + Community Server): Run remote servers on Vercel and publicly deploy, ENV, domain and project controls; Vercel Labs and Community maintain several typescript templates.
- Supabase MCP Server: Read database access and platform integration only; use Supabase Auth/Storage/DB to align well with FE applications for fast product loops.
- Netlify MCP Server: Create projects, build, deploy, and manage Env Vars and team workflows through agents; official server + documentation and open source repository.
- Linear MCP (Remote Control): Find/create/update questions, projects, comments; native remote MCP uses tools to adjust the proxy workflow for editing and Claude. Great for FE issues Triage + Sprint Ops.
- Atlassian Remote MCP (JIRA/Confluence): Enterprise work chart access (create questions/pages, summarize work), and use permissioned operations; there are also multiple community JIRA servers.
- Sentry MCP Server (hosted + OSS): Bring real-time problem context to the proxy, query errors and generate patches; official documentation, OSS repository and NPM suite are available. Fe regression classification is crucial.
- Stripe MCP Server: Interact with your agent with the Stripe API and knowledge base; useful for FE payment flows, Webhooks testing and dashboard operations.
- Color/Story Book MCP: Agent controls visual/interaction testing and PR/UI review workflow integrated with storybook. Convenient Fe CI quality door.
- GREP MCP (GITHUB code search scale): Agents can perform correction/semantic searches in a large number of public repositories; accelerate sample-driven encoding and dependency cerebellum.
- Browser Automation MCP (Chrome/ChromedP): Expose browser actions (navigation, query DOM, capture) to E2E checks, scratch internal previews, or reproduce UI errors. Active projects include Chrome-Extension server and ChromedP server.
- FIGMA DEV mode MCP server – Pull structured design data (token, measurement, color) directly from Figma instead of screen craping; better design fidelity to code and specifications. The document is enabled in the desktop application; the beta has been publicly confirmed.
Summary: MCP servers are quickly becoming the basic building foundation for front-end teams to replace temporary integration across design, code, deployment and monitoring workflows. By adopting the right mix-design fidelity landscape, GitHub/GitLab for version control, Vercel/NetLify/CloudFlare for deployment, and Sentry/Collomation for QA and observability – Developers can simplify the entire product cycle in their editors and CI systems. As the ecosystem matures with remote, OAuth-enabled servers and vendor directories, front-end workflows simultaneously increase speed and security, making MCP integration a strategic step in modern web development.
Michal Sutter is a data science professional with a master’s degree in data science from the University of Padua. With a solid foundation in statistical analysis, machine learning, and data engineering, Michal excels in transforming complex data sets into actionable insights.
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