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Best starting points: use the GitHub MCP server for repository work, Playwright MCP for browser automation, Filesystem MCP for narrowly scoped project files, PostgreSQL or SQLite MCP for data, Context7 for current documentation, Terraform MCP for infrastructure, and Figma Dev Mode MCP for design-to-code. Use the official MCP Registry to verify the current package, version, maintainer and release date before installing. This is a job-fit shortlist, not a popularity ranking: no authoritative source publishes comparable usage, download or uptime figures for MCP servers.
How to choose an MCP server
The Model Context Protocol ecosystem changes quickly. Evaluate every server against the work it performs, who maintains it, what data it can reach and whether your client supports its transport.
- Job fit: match the server to browser, code-hosting, files, SQL, documentation, infrastructure or design work.
- Provenance: prefer a first-party provider or the official MCP project when one exists; inspect community repositories carefully.
- Permissions: begin with read-only credentials, narrow repository or directory allowlists, and the smallest token scopes possible.
- Deployment: local stdio packages keep execution on your machine; hosted remote endpoints introduce different secret, tenancy and network considerations.
- Client compatibility: verify support for the exact client you use, such as Claude Desktop, Cursor, Windsurf, VS Code or a Copilot-based workflow.
- Maintenance: check the registry entry, latest release, issue activity and whether the repository is archived. Pin versions for repeatable deployments where practical.
- Data sensitivity: treat production databases, private repositories, authenticated browser profiles and infrastructure credentials as high-risk integrations.
The ten MCP servers and discovery tools worth considering
| Rank | Server or tool | Best fit | Primary caution |
|---|---|---|---|
| 1 | GitHub MCP server | Repositories, issues, pull requests and Copilot workflows | Token scope and write permissions |
| 2 | Playwright MCP | Browser navigation and UI interaction | Authenticated sessions and destructive actions |
| 3 | Filesystem MCP server | Controlled project-file access | Directory boundaries and write access |
| 4 | PostgreSQL MCP server | Relational data exploration and SQL | Use read-only database credentials for analysis |
| 5 | SQLite MCP server | Local databases and prototypes | Protect local files from unintended edits |
| 6 | Context7 MCP | Current package and framework documentation | Verify endpoint terms and availability |
| 7 | HashiCorp Terraform MCP server | Infrastructure-as-code context and operations | Infrastructure changes need explicit approval |
| 8 | Figma Dev Mode MCP server | Design-system context and implementation | Limit access to the required projects |
| 9 | Puppeteer MCP server | Browser automation for Puppeteer teams | Confirm the repository is maintained |
| 10 | Official MCP Registry | Finding current servers and versions | Registry entries and dates can change |
1. GitHub MCP server — best for repository and Copilot workflows
GitHub operates a curated MCP Registry and documents MCP support in repository configuration. A GitHub server can give an agent structured access to repositories, issues and pull requests, making it the natural first choice for coding workflows that already live on GitHub.
Review the token scopes before connecting it. Separate read-only investigation from actions that create issues, modify pull requests or write repository content. For organizations, test the configuration in a non-critical repository and require human confirmation for changes.
2. Playwright MCP — best for browser automation
Microsoft describes Playwright MCP as browser automation through MCP, using structured accessibility snapshots so an agent can navigate pages and interact with controls. It is documented for clients including VS Code, Cursor, Windsurf and Claude Desktop.
The documented installation command is:
npx @playwright/mcp@latestUse a dedicated browser profile for automation. Do not expose a personal profile containing saved passwords or payment sessions. Start with navigation and inspection tools, then add clicking or form submission only when the workflow is understood. Browser sites can change their UI, trigger bot checks or require authentication, so keep a deterministic fallback procedure.
3. Filesystem MCP server — best for bounded project files
Filesystem MCP is useful when an agent needs to read source code, inspect logs or edit a defined workspace. Configure explicit workspace or directory allowlists instead of granting an entire home directory or disk.
Read-only access is the safest default. If writes are required, separate generated output from source files, review the server’s tool descriptions and keep backups or version control available. Never place secrets files in an allowed directory unless the agent genuinely needs them.
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4. PostgreSQL MCP server — best for relational SQL work
PostgreSQL MCP suits schema exploration, analytical queries and data-assisted development. Create a separate database role with only the schemas and tables required for the task. For analysis, prefer read-only credentials and a replica or sanitized dataset rather than production write access.
Also control network reach. A server that can connect to arbitrary hosts is materially riskier than one restricted to a single database endpoint. Log queries and require approval for migrations, deletes and updates.
5. SQLite MCP server — best for portable local databases
SQLite is a practical choice for prototypes, fixtures and local applications because the database is a file rather than a separate service. GitHub’s Copilot SDK documentation lists an official SQLite server among popular options.
Point the server at a specific database path, not a directory containing unrelated files. Keep a copy before allowing writes, and remember that an agent with filesystem access may be able to replace or copy the database file even when SQL permissions appear limited.
6. Context7 MCP — best for current library documentation
Context7 is designed to retrieve up-to-date package and framework documentation so an agent can answer implementation questions against current APIs instead of stale training data. GitHub’s MCP configuration documentation uses https://mcp.context7.com/mcp as an endpoint example.
Confirm the service’s current terms and availability before deploying it in a production workflow. Treat retrieved snippets as documentation context, not as permission to execute arbitrary installation or upgrade commands.
7. HashiCorp Terraform MCP server — best for infrastructure context
Terraform is listed as an official server in the MCP Registry announcement and is useful for understanding infrastructure-as-code configuration, providers and planned changes.
Keep planning separate from applying. Give the agent read access to state and configuration first; require a reviewed plan and explicit approval before any apply, destroy or credential rotation operation. Use a workspace or account boundary that cannot reach unrelated environments.
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8. Figma Dev Mode MCP server — best for design-to-code work
Figma Dev Mode MCP is aimed at translating design-system context into implementation. It can help an agent reason about component specifications, measurements and design tokens while developers work in the codebase.
Grant access only to the projects needed for the task. Design files can contain unreleased product information, so avoid sending an entire organization workspace to a general-purpose agent.
9. Puppeteer MCP server — an alternative for Puppeteer teams
Puppeteer MCP is a browser-automation alternative for teams already invested in Puppeteer APIs and tooling. Its fit depends heavily on the current repository and client integration.
Confirm that the repository is maintained and not an archived reference implementation before installing. Pin a reviewed version, run it in an isolated environment and apply the same precautions as any browser-control server: separate profiles, limited credentials and approval for destructive actions.
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The official MCP Registry is an open catalog and API for discovering publicly available MCP servers. Its stated goal is to standardize distribution and discovery as a primary source of truth. It is included here because finding the right current package is a prerequisite for safely installing any server, even though it is a discovery service rather than a task-specific server.
Use the registry to check the listing, package identifier, description, version and date, then follow through to the provider’s repository or documentation. Recheck before deployment because entries, versions and dates change.
Installation and rollout checklist
- Define the task: write down the exact files, repositories, URLs, databases or cloud accounts the agent must reach.
- Verify the source: locate the server in the official registry or provider documentation and inspect the repository’s maintenance status.
- Choose the transport: use local stdio when the workload and secrets should remain on a developer machine; use a hosted endpoint only after reviewing tenancy and network implications.
- Create least-privilege credentials: make read-only tokens or database roles first, with narrow scopes and expiration where supported.
- Review tools: read every tool description and identify which operations can write, delete, publish, deploy or access external networks.
- Test in a disposable target: use a sample repository, test database, temporary browser profile or non-production Terraform workspace.
- Pin and monitor: pin a known version for reproducibility, monitor releases and issues, and revisit the registry when upgrading.
Troubleshooting common failures
The client cannot start the server
Check that the package manager or runtime is installed, the command is spelled exactly as documented and the client configuration points to the correct executable or endpoint. For a remote server, verify DNS, TLS, firewall and authentication separately. Run the server outside the client when possible so startup errors are visible.
The agent receives permission-denied errors
Confirm the path, repository scope, database role or token permission. Do not immediately grant broader access; first test whether the requested resource is outside the allowlist or whether the credential is intentionally read-only.
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Use a clean, dedicated profile, verify the target URL manually and account for authentication, redirects, consent dialogs and bot checks. Prefer accessibility-based interactions over brittle coordinates, and add human approval before submitting forms or triggering purchases.
SQL results are empty or unsafe
Check the selected schema, role and connection target. Compare the agent’s generated query with a manually reviewed read-only query. If the server can write, move analysis to a replica or temporary database and remove write capability from the default configuration.
A server appears outdated or archived
Compare its repository activity and release information with the current registry entry. Stop using an archived implementation for new deployments unless you have a documented reason, pinned dependencies and an internal maintenance plan.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.ScreenshotNeo as a complementary MCP option for visual capture
When the task is obtaining a clean website screenshot rather than interacting with a page, ScreenshotNeo can be a simpler companion to browser-automation servers. It is a website screenshot API and MCP server for developers, with MCP tools named take_screenshot, get_page_info and capture_pdf for Claude, Cursor and other MCP clients.
Best Value
Before capture, ScreenshotNeo accepts cookie or consent banners like a visitor and removes more than 60 known consent platforms, newsletter popups and chat widgets; each cleanup step can be disabled. Only clean shots are billed: bot checks or CAPTCHAs, blank pages, timeouts, failed loads and cache hits cost nothing, and response headers identify the page verdict and billing result.
It also supports full-page captures with lazy images loaded, CSS-selector element capture, dark mode, 12 device presets plus custom viewports, retina scale, PDF paper size and page ranges, custom CSS or JavaScript, clicks, selector or network-idle waits, request and resource blocking, headers, cookies, user agents, authorization, timezone, geolocation, transparent backgrounds, resizing, configurable caching, signed image links, asynchronous jobs with signed webhooks, bulk capture for up to 100 URLs per call, a usage API and an OpenAPI specification. Parameter names used by other screenshot APIs also work.
Or skip the browser setup
Use the API documented at https://screenshotneo.com/docs/ when you need a direct capture:
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}`);The Free plan includes 1,000 shots per month with no card. Paid plans are Starter $5 for 3,000 shots, Growth $15 for 15,000, Pro $39 for 60,000, Scale $99 for 250,000 and Business $249 for 1,000,000; yearly billing gives two months free, and every feature is on every plan. Create a free ScreenshotNeo account to start without a card.
Recommended Free Tools
Bottom line
Start with the server that matches one narrowly defined job, not with the largest collection of tools. GitHub, Playwright, Filesystem, PostgreSQL, SQLite, Context7, Terraform and Figma cover the most common developer workflows in this shortlist; Puppeteer remains useful for established Puppeteer teams, and the official registry is the place to verify what is current. Least-privilege credentials, isolated test targets and regular maintenance checks matter more than an unverified popularity label.
Frequently Asked Questions
Why is the Official MCP Registry listed alongside task servers?
It is the discovery layer rather than a repository, browser or database server. It belongs on a developer shortlist because it provides current package, version and date information before installation.
Should I enable write access during the first test?
No. Begin with read-only credentials or a disposable target, then add one narrowly scoped write operation only after reviewing the tool and its output.
Is Playwright MCP interchangeable with Puppeteer MCP?
They both automate browsers, but they serve different existing toolchains. Choose Playwright when its structured accessibility workflow and client support fit your stack; choose Puppeteer when your team already maintains Puppeteer-based automation.
Quick Recap
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