The best MCP servers in 2026 are GitHub, Playwright, Context7 and Figma for developers, PostgreSQL, Supabase and Snowflake for data, Notion, Linear, Slack and Google Drive for work, Google Search Console and Google Trends for marketing, App Store Connect for app makers, WhatsApp for messaging, and AWS and Cloudflare for cloud. Below: 17 picks by use case, how we chose them, and a safety checklist.
How we chose these MCP servers
A "best" list built on star counts rewards whatever went viral. We used five checks instead, and every server below passes the first three.
- Maintained by someone accountable. The vendor itself, or a community project with recent commits and a named maintainer.
- Documented. An official page or repository that says what each tool does and how to authenticate.
- Useful on a real task. It covers work people actually hand to an AI assistant: reading a pull request, querying a table, checking a ranking, triaging a ticket.
- Scoped access. Where a server can write or delete, we note it, because that is where mistakes get expensive.
- Clear about where it runs. Local means a process on your machine. Remote means an HTTPS endpoint run by someone else. Both are fine, but they carry different setup and trust costs.
Each entry says whether the server is official (built or endorsed by the product's vendor) or community, and whether it runs locally or remotely. Transport options change quickly, so check the linked page before you install. If the terms are new, start with what MCP is and the definition of an MCP server.
We have run the five servers marked "hosted on MCPifex" ourselves. For the rest we relied on each vendor's documentation, so treat those lines as a guide to what the project says it does.
Which MCP servers are best for each use case?
The picks below are grouped by the job they do: building software, working with data, running a team, marketing, shipping apps, messaging and cloud operations. Jump to the group that matches your work.
Which MCP servers are best for developers?
Developer servers are the most mature part of the ecosystem. They connect an AI coding assistant to the places where code, tests, docs and designs live.
- GitHub MCP server. Read repositories, issues and pull requests, search code, and manage workflows. Official, from GitHub. Runs locally or as a GitHub-hosted remote server. See our GitHub MCP server explainer.
- Playwright MCP. Lets an assistant drive a real browser: open pages, click, fill forms and read the page structure. Official, from Microsoft. Runs locally.
- Context7. Pulls up-to-date library documentation into the assistant so it stops guessing at outdated APIs. Official, from Upstash. Local or remote.
- Figma MCP server. Gives an assistant design context from Figma files so generated UI code matches the design. Official, from Figma. See Figma's page for the current local and remote options.
If you only add one, add GitHub. If you write front-end code, add Context7 next: stale documentation is a common reason assistants produce code that does not compile.
Which MCP servers are best for databases and data?
Data servers are where "ask your assistant a question" turns into real value, and where read-only defaults matter most.
- PostgreSQL (hosted on MCPifex). Query, inspect and describe a Postgres database. The original reference server has been moved to the archived servers repository, so maintained alternatives and hosted versions matter. The hosted PostgreSQL server keeps the write tool (
execute) off by default. Hosted on MCPifex. Walkthrough: query Postgres from Claude. - Supabase MCP server. Manage Supabase projects, run SQL, inspect schemas and read logs. Official, from Supabase, developed in the supabase/mcp repository. Use the hosted endpoint
https://mcp.supabase.com/mcp(you sign in to Supabase when your client connects) or run it locally through the Supabase CLI, where Supabase says the tool set is limited. Point it at a development project, not production. - Snowflake-managed MCP server. Snowflake's own server runs inside your account and exposes Cortex Analyst, Cortex Search, Cortex Agents and SQL execution as tools, with Snowflake OAuth by default. Official, from Snowflake. Remote. The older Snowflake Labs community repository is deprecated and no longer maintained, so skip it.
Which MCP servers are best for productivity and team tools?
These servers let an assistant read and update the tools your team already uses. Most are remote servers that sign you in with OAuth, so there is nothing to install.
- Notion MCP server. Search, read and edit pages and databases. Official, from Notion. Remote and hosted by Notion. The open-source local repository is no longer actively maintained.
- Linear MCP server. Find, create and update issues, projects and comments. Official, from Linear. Remote.
- Slack MCP server. Search messages, read channels and threads, and post replies. Official, from Slack. Remote.
- Google Drive server. The reference Drive server searches and reads files. Community-maintained today: the reference version sits in the archived repository, so read the Google Drive developer docs for the supported route and check each fork's maintenance before you trust it with your documents. Local.
Which MCP servers are best for marketing and SEO?
This is the least crowded category, and the one where an MCP server saves non-developers the most time. Both picks below run on MCPifex.
- Google Search Console (hosted on MCPifex). 19 tools for search performance, URL inspection, indexing status and sitemaps. Connect with Google sign-in. Community server, remote through MCPifex. Details: Google Search Console MCP server. Google's own reference for the underlying data is the Search Console API documentation.
- Google Trends (hosted on MCPifex). Interest over time, compared terms, related queries and trending searches by region. No credentials needed, though Google may rate-limit requests. Community server, remote through MCPifex. Details: Google Trends MCP server. A worked example: keyword research with the Google Trends MCP.
Which MCP server is best for app makers?
- App Store Connect (hosted on MCPifex). 88 tools covering apps, versions, TestFlight, in-app purchases, reviews, and sales and analytics reports. 38 of them write tools, switched off by default. Community server, remote through MCPifex. Details: App Store Connect MCP server. Apple's own documentation lives at developer.apple.com/app-store-connect.
Which MCP server is best for messaging?
- WhatsApp (hosted on MCPifex). 61 tools to read chats, contacts and groups, and to send text, media, voice notes and polls. Needs the Pro plan or above, and you link your account by QR code or pairing code. Community server, remote through MCPifex. Details: WhatsApp MCP server and the WhatsApp MCP guide. Because it can send as you, keep the send tools off until you have a reason to turn them on.
Which MCP servers are best for cloud infrastructure?
- AWS MCP servers. A collection from AWS Labs covering documentation, cost analysis, infrastructure as code and individual services. Official, from AWS. Mostly local, so check the repository for which servers are available as remote.
- Cloudflare API MCP server. One remote server at
https://mcp.cloudflare.com/mcpthat reaches the Cloudflare API, which covers Workers, DNS, logs and analytics. Official, from Cloudflare. Remote. Cloudflare's older per-product servers repository carries a note asking users to migrate to it. A few servers there are still listed as active, such as documentation, containers and Browser Run, each on its ownmcp.cloudflare.comsubdomain.
Cloud servers can change real infrastructure. Use an account or role limited to what the task needs, and start with read-only tools.
How do these MCP servers compare?
ServerBest forMaintainerRunsHosted on MCPifex
GitHub
Code, issues, pull requests
Official
Local or remote
No
Playwright
Browser automation, testing
Official
Local
No
Context7
Current library docs
Official
Local or remote
No
Figma
Design to code
Official
See Figma docs
No
PostgreSQL
Asking a database questions
Community
Remote on MCPifex
Supabase
Supabase projects and SQL
Official
Remote, or local via CLI
No
Snowflake
Warehouse queries and Cortex
Official
Remote
No
Notion
Pages and databases
Official
Remote
No
Linear
Issue tracking
Official
Remote
No
Slack
Team messages
Official
Remote
No
Google Drive
Files and documents
Community
Local
No
Google Search Console
SEO performance and indexing
Community
Remote on MCPifex
Google Trends
Search interest and keyword ideas
Community
Remote on MCPifex
App Store Connect
Apps, TestFlight, reviews, sales
Community
Remote on MCPifex
Chats and messages
Community
Remote on MCPifex
AWS
Docs, cost, infrastructure
Official
Mostly local
No
Cloudflare
Cloudflare API: Workers, DNS, logs
Official
Remote
No
Which of these can you run without installing anything?
Remote servers (Linear, Slack, Cloudflare and others) need only a URL and a sign-in. Local servers need a runtime such as Node, Python or Docker on your machine, plus a config entry for every AI app you use. That is the part many non-developers get stuck on.
MCPifex exists for that gap. It runs the real server for you, you save your credentials once, you choose which tools the AI may call, and you paste one gateway URL (https://mcp.mcpifex.com/mcp) into Claude, ChatGPT, Claude Code or Cursor. Five servers are live today: PostgreSQL, Google Trends, Google Search Console, App Store Connect and WhatsApp, and the free plan includes three instances with no card. Browse them on the MCPifex marketplace, or read hosted vs self-hosted MCP to decide which fits you. Each of the other servers in this list works with any MCP client that supports it, so setup help for your app is on the list of MCP clients.
Where can you find more MCP servers?
This list is short on purpose. When you need something it does not cover, use a directory, and treat every entry as unreviewed until you have checked it.
- Official MCP Registry. The registry maintained by the MCP project. Entries point to a published package or remote endpoint. Read more in our MCP registry definition.
- Reference servers repository. The MCP project's own examples. Several older reference servers have moved to an archive, so check the README before you rely on one.
- awesome-mcp-servers. A large community-curated GitHub list, grouped by category. Good for discovery, with no vetting beyond what contributors add.
- Glama. A searchable public MCP server directory with filters and usage information. Compare it with MCPifex in MCPifex vs Glama.
- Smithery. Smithery has announced that its connection services shut down on October 31, 2026. Read its notice at smithery.ai/future before you depend on anything connected through it, and see our Smithery shutdown guide for options.
For a wider look at directories and marketplaces side by side, see best MCP marketplaces.
What should you check before installing any MCP server?
An MCP server runs code with access to your accounts, and a model decides when to call it. That is a lot of trust, so run through this list first. The protocol's own guidance is in the MCP security best practices.
- Know the maintainer. Prefer the vendor's official server. For community servers, look for recent commits, open issues that get answered, and a named author.
- Read the tool list. List every tool the server exposes. Anything that writes, sends, deletes or spends money needs a reason to be on.
- Start read-only. Turn on query and read tools first. Add write tools one at a time.
- Use the narrowest credential. Create a dedicated API key, database role or OAuth scope for the AI. Never hand over an admin key because it is convenient.
- Point it at non-production first. Test against a development database or a test workspace.
- Check where credentials live. Plain-text tokens in a config file on a shared machine are a leak waiting to happen. Prefer OAuth or a secrets store.
- Watch for prompt injection. A server that reads emails, web pages or chat messages can pass hostile instructions to the model. See prompt injection through MCP tools.
- Keep a log. You should be able to see which tool was called, when, and with what input.
- Review on a schedule. Remove servers you no longer use and rotate keys. Our MCP security checklist goes deeper, and controlling what AI agents can reach covers permissions.
How do you pick the right one for your job?
Start from the job, not the directory. If your work is writing code, GitHub plus Context7 covers most of it. If you answer questions from data, pick one read-only database server and test it on a copy. If you run a site, Search Console and Trends give an assistant the same numbers you check by hand. If you ship an app, App Store Connect replaces a lot of tab-switching.
Add servers slowly. Every connected server adds tools to the model's menu, and a long menu makes the model slower and more likely to pick the wrong tool. Three to five servers you use weekly beat thirty you connected once.
When an assistant says a server is not working, the cause is usually in the client, not the server. Check that your app supports remote servers and the transport the server uses before you debug anything else. The instances and tools docs show how tool permissions work on MCPifex.
Quick answers
For developers: GitHub, Playwright, Context7 and Figma. For data: PostgreSQL, Supabase and Snowflake's managed server. For work: Notion, Linear, Slack and Google Drive. For marketing: Google Search Console and Google Trends. App Store Connect suits app makers, WhatsApp covers messaging, and AWS and the Cloudflare API server cover cloud work. Pick by the job you want your AI to do.
An official server is built or endorsed by the product's vendor, such as GitHub or Linear's own servers. A community server is written by a third party. Both can be good, but community servers need more checking: look at recent commits, the tool list, and what credentials they ask for.
Start with the official MCP Registry at registry.modelcontextprotocol.io, the awesome-mcp-servers list on GitHub, and the Glama directory. Treat all of them as discovery tools, not reviews. Smithery has said its connection services shut down on October 31, 2026, so do not build on those.
They can be, if you limit access. Use the vendor's official server where one exists, create a dedicated credential with narrow scope, start with read-only tools, test on non-production data, and keep a log of tool calls. Write and delete tools should stay off until you need them.
Not always. Remote servers run on the vendor's infrastructure and need only a URL and a sign-in. Local servers run on your machine and need Node, Python or Docker. A hosted service such as MCPifex runs the server for you and gives your AI one endpoint, so nothing is installed locally.
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