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For most web-development work, start with Playwright MCP. It gives an AI client controlled browser navigation, clicking, form filling, accessibility snapshots, and page capture. Add Chrome DevTools MCP when you need Chrome-specific debugging or performance traces; GitHub MCP for repository work; Sentry MCP for production errors; Supabase MCP for Postgres and Auth; Figma MCP for design-to-code; and Firecrawl MCP for crawling and structured extraction. Keep the initial set narrow, review every permission, and test read-only access before enabling writes.
The shortlist below reflects a curated directory whose entries were verified on June 10, 2026. MCP servers are connectors: an MCP client such as an AI coding agent invokes the server’s declared tools instead of receiving unrestricted access to your browser, repository, database, or design files.
What an MCP server does in a web workflow
Model Context Protocol (MCP) standardizes how an AI client discovers and calls tools and reads structured context. A server might expose browser actions, repository queries, database operations, design metadata, or observability events. The client still decides when to call a tool, but the server defines what that tool can do and which credentials or transport it uses.
That boundary is useful only when you can inspect it. The official MCP repository describes its reference servers as educational examples for developers building their own servers, not production-ready solutions. Treat every third-party server as code that can reach the systems you connect.
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Best MCP servers by web-development task
| Workflow | Recommended server | Why it fits | Questions to compare |
|---|---|---|---|
| Browser automation and end-to-end testing | Playwright MCP | Navigation, clicks, form filling, accessibility-oriented snapshots, browser testing, and page capture. | Browser coverage, authentication handling, test reliability, accessibility support |
| Chrome debugging and performance | Chrome DevTools MCP | Drives and inspects Chrome through the DevTools protocol. | Protocol depth, tracing, network inspection, performance tooling |
| Repository operations | GitHub MCP Server | Issues, pull requests, code search, and Actions workflows. | Permission granularity, search quality, write safeguards, Actions scope |
| Production diagnostics | Sentry MCP | Issues, events, traces, and Seer root-cause analysis. | Data access, trace depth, incident workflow, privacy controls |
| Database and authentication | Supabase MCP | Tables, queries, project configuration, Postgres, and Auth workflows. | Read/write boundaries, project scoping, SQL safety, supported services |
| Design-to-code | Figma MCP | Design context, variables, and component metadata for coding agents. | Variable fidelity, component context, file permissions, design-system scale |
| Web research and extraction | Firecrawl MCP | Scraping, crawling, and structured website extraction. | Crawl controls, extraction quality, rate limits, robots and compliance settings |
Browser automation and testing
Playwright MCP: the general recommendation
Choose Playwright MCP when the agent must behave like a user across browsers: open a page, inspect its accessibility-oriented representation, click controls, fill forms, and capture the resulting page. That combination makes it suitable for end-to-end tests, regression checks, authenticated flows, and reproducing a UI bug.
- Use a dedicated test account and non-production data for login flows.
- Give the server only the browser profiles, environment variables, and domains it needs.
- Prefer deterministic selectors and explicit waits in generated tests; ask the agent to show the resulting test code for review.
- Decide whether a local browser is acceptable or whether your organization requires hosted automation with isolated sessions.
Chrome DevTools MCP: when Chrome internals matter
Use Chrome DevTools MCP instead when the question is specifically about Chrome debugging or performance. Its DevTools-protocol access is a better fit for inspecting network activity, tracing, runtime behavior, and performance tooling than a general user-interaction layer.
Do not select it merely because a task involves a web page. For cross-browser user journeys, Playwright is the clearer starting point; for a Chrome performance investigation, DevTools MCP is the focused tool.
Repositories, delivery pipelines, and code review
GitHub MCP Server
GitHub MCP fits repository-centered work: finding code, reading issues, reviewing pull requests, and inspecting or operating Actions workflows. Start with read-only scopes for code search and issue triage. Add write capability only for a narrowly defined task, such as opening a draft pull request, and require a human review before merging or changing workflow files.
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Separate credentials for search, issue reading, and write actions where your GitHub setup permits it. A prompt that asks the agent to “fix the repository” should not silently include permission to delete branches, alter Actions, or publish releases.
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Production errors and performance evidence
Sentry MCP
Sentry MCP exposes issues, events, traces, and Seer root-cause analysis to an agent. It is useful when an incident requires correlating an exception with affected requests and trace context rather than guessing from source code alone.
- Restrict access to the projects and environments the on-call workflow covers.
- Check whether event payloads contain personal data, tokens, request bodies, or customer identifiers before sending them into an AI conversation.
- Keep remediation separate from diagnosis: let the server provide evidence, then have a reviewed change go through the normal repository and deployment process.
Database and authentication work
Supabase MCP
Supabase MCP can manage tables and project configuration and work with Postgres and Auth. It can accelerate schema inspection, query drafting, and troubleshooting, but database access has a larger blast radius than a browser read.
- Connect a development or staging project first and verify the project identifier shown to the client.
- Begin with read-only queries and metadata access.
- Use a constrained database role for any writes; do not hand an agent a service-role secret when a narrower role is sufficient.
- Review generated SQL, migrations, and Auth changes before execution, especially destructive statements and policy changes.
Design-to-code workflows
Figma MCP
Figma MCP supplies design context, variables, and component metadata to coding agents. It is most useful when an agent must map an existing design system into components rather than infer spacing and colors from a screenshot.
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Crawling and structured web extraction
Firecrawl MCP
Firecrawl MCP is the fit for crawling sites, scraping pages, and extracting structured data for research or content pipelines. Define the allowed domains, crawl depth, rate limits, and output schema before the agent starts. Confirm that your use respects each site’s terms, robots settings, and applicable privacy obligations.
Rank #3
Adding screenshot capture to an agent workflow
ScreenshotNeo is the first alternative to try when an agent needs a website screenshot or PDF without maintaining browser infrastructure: it removes consent banners, newsletter popups, and chat widgets before capture, bills only clean shots, and provides an MCP server for AI clients.
Its MCP tools are take_screenshot, get_page_info, and capture_pdf. You can use them from Claude, Cursor, or another MCP client. The HTTP API is also useful for a build script or a small service.
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The API base is https://api.screenshotneo.com/v1/shot. See the ScreenshotNeo documentation for authentication and option details. These examples request a WebP image of Stripe’s homepage.
curl -G "https://api.screenshotneo.com/v1/shot" -d access_key=YOUR_API_KEY --data-urlencode url=https://stripe.com -o shot.webpimport requests
r = requests.get("https://api.screenshotneo.com/v1/shot", params={"access_key": "YOUR_API_KEY", "url": "https://stripe.com"}, timeout=90)
open("shot.webp", "wb").write(r.content)const q = new URLSearchParams({ access_key: 'YOUR_API_KEY', url: 'https://stripe.com' });
const res = await fetch(`https://api.screenshotneo.com/v1/shot?${q}`);Every response includes X-Page-Verdict and X-Billed headers, so a pipeline can distinguish a clean capture from a bot check, blank page, timeout, failed load, or cache hit. Those non-clean outcomes and cache hits cost nothing.
Options that matter in production
ScreenshotNeo exposes 63 options, including full-page capture with lazy images loaded; a single element selected by CSS; dark mode; 12 device presets or a custom viewport; retina scale; PDF paper size, margins, landscape mode, and page ranges; HTML/CSS-to-image; custom JavaScript and CSS; pre-capture clicks; hidden selectors; waits for a selector, delay, or network idle; blocking ads, trackers, requests, or resource types; custom headers, cookies, user agents, and Authorization; timezone and geolocation; transparent backgrounds; image resizing; a chosen cache TTL; signed links for public image tags; asynchronous jobs with signed webhooks; bulk capture of up to 100 URLs per call; a usage API; an OpenAPI specification; and compatibility with parameter names used by other screenshot APIs.
Plans
| Plan | Allowance | Price |
|---|---|---|
| Free | 1,000 shots/month | $0, no card |
| Starter | 3,000 shots | $5 |
| Growth | 15,000 shots | $15 |
| Pro | 60,000 shots | $39 |
| Scale | 250,000 shots | $99 |
| Business | 1,000,000 shots | $249 |
Yearly billing provides two months free, and every feature is available on every plan. If you want to avoid browser setup, create a free ScreenshotNeo account: 1,000 screenshots a month are included with no card, and paid plans start at $5 for 3,000.
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How to install and evaluate an MCP server safely
- Define one job. Write down the exact pages, repositories, projects, or datasets the agent must reach. A narrow purpose makes permissions reviewable.
- Use a trusted source. Prefer a vendor-backed repository or the official MCP Registry. The Registry preview, announced by the MCP project on September 8, 2025, is intended as an open catalog and API and a primary source of truth for publicly available servers. GitHub announced its own MCP Registry on September 16, 2025, updated September 18, 2025.
- Inspect the implementation and install instructions. Check maintenance activity, package provenance, transport, authentication flow, declared tools, logging, and where data is sent.
- Start with development data and read-only credentials. Confirm the client shows the expected server and account before granting broader access.
- Exercise a harmless request. For example, list a test repository issue, read a staging table schema, or open a non-sensitive page. Compare the result with the underlying system.
- Add writes deliberately. Scope projects, branches, tables, environments, and event data. Keep destructive operations behind approval.
- Recheck before production. Maintenance, dependencies, authentication behavior, transport security, and permissions can change after installation.
Troubleshooting common failures
The client cannot discover the server
Verify that the server command or endpoint in the client’s MCP configuration is valid, the runtime is installed, and the transport matches what the server supports. Restart the client after configuration changes and inspect its MCP logs for a startup error.
Authentication succeeds but no useful data appears
Check project, organization, repository, and environment scope. A token can be valid while lacking access to the specific resource. Reauthorize with the smallest additional scope rather than replacing it with an administrator credential.
Browser actions time out
Confirm the target is reachable from the browser environment, then use an explicit wait for the required selector or network state. Test whether a consent dialog, login challenge, or bot check is blocking the expected control. For Chrome performance work, switch to Chrome DevTools MCP so you can inspect network and runtime evidence directly.
Queries or generated changes are unsafe
Move back to read-only access, reproduce the request in a disposable project, and review the exact SQL, patch, workflow edit, or Auth policy before execution. A server’s tool description is not a substitute for code review.
A screenshot is blank or contains a consent widget
Check the response’s X-Page-Verdict and X-Billed headers. With ScreenshotNeo, failed loads, blank pages, bot checks, timeouts, and cache hits are identified and not billed; adjust waits, headers, cookies, viewport, or resource blocking for the target page.
A practical starter set
Install only what matches the next task. A browser-testing project can begin with Playwright MCP and add ScreenshotNeo when it needs repeatable clean images or PDFs. A Chrome performance investigation can use Chrome DevTools MCP without adding a second browser-control layer. A full-stack team might add GitHub MCP, Sentry MCP, and Supabase MCP, but keep each credential and environment separate. Add Figma MCP for a design-led feature and Firecrawl MCP only when crawling is an explicit requirement.
This staged approach keeps prompts understandable, limits the damage from a compromised credential, and makes it easier to remove a server that is no longer maintained.
Frequently Asked Questions
Is an MCP server the same as an API?
No. An API exposes a service directly; an MCP server adapts tools or data to an MCP client so an AI agent can discover and call them through a common protocol.
Can I run several MCP servers at once?
Yes, if your client supports multiple server connections. Keep their credentials, projects, and allowed operations separate so the agent does not receive an unnecessarily broad tool set.
Should I use a local or hosted browser server?
Use local control when the workflow needs your development browser or private network and your security policy allows it. Choose hosted automation when you need isolated, repeatable execution and do not want browser maintenance on a developer machine.
Where can I find public MCP servers?
Prefer a vendor-backed repository or the official MCP Registry, then inspect maintenance, authentication, transport, permissions, and data handling before connecting an account.
Quick Recap
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