The best MCP servers in 2026 are the official, actively maintained ones that give an AI agent safe access to the systems you already use: GitHub for code, Playwright for browsers, Context7 for current library docs, Supabase for databases, and first-party remote servers from Notion, Atlassian, Sentry, Stripe and Figma. Below we rank them and explain what each lets an agent do, how it runs, how it authenticates and who it suits.
An MCP server is a small service that exposes tools, data and prompts to AI clients such as Claude, ChatGPT, Cursor, VS Code and Codex through the Model Context Protocol. In 2025 most MCP servers were local scripts started with npx. By late 2026 the picture has changed: most major SaaS vendors now run remote MCP servers with OAuth sign-in, scoped permissions and admin controls, so connecting an agent takes a URL and a consent screen rather than a pasted API key.
That shift makes choosing well more important. Every server you connect adds tools to your agent’s context and new paths for prompt injection, so a short list of trusted model context protocol servers beats a long list of random ones.
MCP Servers At A Glance
MCP Server
Best For
How It Runs
Auth Method
GitHub MCP Server
Repos, issues, pull requests, Actions
Remote (GitHub hosted) or local Docker
OAuth or personal access token
Playwright MCP
Browser automation and testing
Local (npx), optional HTTP port
None (runs on your machine)
Context7
Current, version-specific library docs
Remote or local package
Optional API key
Filesystem
Scoped local file access
Local (npx or Docker)
Allowed directories and Roots
Supabase MCP
Postgres, migrations, Edge Functions
Remote, plus local CLI endpoint
OAuth or scoped token
Notion MCP
Docs, wikis and databases
Remote (Notion hosted)
OAuth
Atlassian MCP Server
Jira, Confluence, Bitbucket
Remote (Atlassian hosted)
OAuth 2.1 or API token
Sentry MCP
Error triage and debugging
Remote (Sentry hosted)
OAuth
Stripe MCP
Payments, billing and Stripe docs
Remote (Stripe hosted)
OAuth or agent API key
Figma MCP Server
Design to code, writing to canvas
Remote or desktop app
Figma sign-in (OAuth)
Best MCP Servers In 2026
1. GitHub MCP Server — Official Server For Repos, Issues, Pull Requests And Actions
GitHub’s own MCP server is the first one most developers connect, and for good reason. It lets an agent browse repositories and code, open and update issues, review and create pull requests, inspect GitHub Actions runs and read code security alerts. That covers most of the “go look at the repo and do the chore” work people hand to coding agents.
You can use it two ways. GitHub hosts a remote server at api.githubcopilot.com/mcp that supports OAuth sign-in in clients like VS Code, or a personal access token passed as a bearer header. If you prefer to keep things local, GitHub publishes a Docker image and a binary you can run over stdio.
The feature that matters most in practice is toolsets. You choose which groups of tools to load (repos, issues, pull_requests, actions, code_security and others), and a read-only flag strips out every write tool. Loading only what a task needs keeps the agent’s context small and limits damage if a prompt injection slips through.
It suits any team that keeps code on GitHub. The server is open source under the MIT license.
Remote and local options
Selectable toolsets plus a read-only mode
Covers issues, PRs, Actions and security alerts
2. Playwright MCP — Browser Automation Through Accessibility Snapshots Instead Of Screenshots
Microsoft’s Playwright MCP gives an agent a real browser it can drive: navigate, click, fill forms, read pages and capture screenshots. What sets it apart is how the agent “sees” the page. Instead of sending images to a vision model, it works from Playwright’s accessibility tree, a structured text view of the page. That is faster, cheaper in tokens and more reliable than guessing pixel coordinates.
It runs locally. Most clients start it with a single npx command (Node.js 18 or newer), and it launches Chrome, Firefox, WebKit or Edge, headed or headless. Options include an isolated in-memory profile, a persistent profile, an HTTP port for remote clients, and an extension mode that attaches to your existing browser. There is no separate auth layer: the browser has whatever access its profile has, and the project itself warns that it is not a security boundary.
It suits developers who want agents to test their own web apps, reproduce bugs, check UI changes or gather information from sites without an API. It is free and open source under Apache 2.0 and is one of the most starred MCP repositories on GitHub.
3. Context7 — Up-To-Date, Version-Specific Library Documentation For Coding Agents
Context7, from Upstash, solves a narrow but constant problem: models trained months ago suggest APIs that have since changed. The Context7 MCP server pulls current, version-specific documentation and code examples for a library straight into the agent’s context, so the code it writes matches the version you actually use.
The tool surface is deliberately small. One tool resolves a library name to a Context7 ID, and another queries that library’s docs for the topic at hand, with an option to rank examples in your language. Small tool counts matter, because every MCP server you add competes for the same context window.
It is available as a remote server at mcp.context7.com/mcp or as a local npm package. An API key is optional but raises rate limits. The free plan includes 1,000 API calls a month on public repositories. Pro costs $10 per seat per month with 2,000 calls per seat and adds private repositories, and Enterprise adds SSO, SOC 2 documentation and self-hosted deployment.
It suits anyone using AI for code, especially on fast-moving frameworks.
4. Filesystem — Reference Server For Sandboxed Local File Access
The Filesystem server is one of the reference implementations maintained in the official Model Context Protocol servers repository. It gives an agent tools to read and write files, make targeted edits with a diff preview, list and create directories, move files, search, and read file metadata. Many desktop chat clients cannot touch your disk without it.
Its value is in the access model. The server only operates inside allowed directories, which you set either as command-line arguments or, preferably, through MCP Roots, where the client tells the server which folders are in scope and can change them at runtime. If no directory is allowed, the server refuses to run rather than defaulting to your whole drive.
It runs locally through npx (the @modelcontextprotocol/server-filesystem package, which was updated as recently as October 2026) or Docker. There is no auth beyond the directory scope, so point it only at folders you are comfortable letting an agent edit.
It suits people using Claude Desktop or similar chat apps for writing, research or light coding who want file access without a full IDE. It is free and open source.
5. Supabase MCP — Hosted Postgres Server With Read-Only Mode And Project Scoping
Supabase’s MCP server lets an agent work with your Supabase projects: inspect and query the Postgres database, apply migrations, read logs and advisors for debugging, generate types, manage Edge Functions and search Supabase docs. For teams building on Supabase it turns “why is this query slow” or “add a column and update the types” into a single prompt.
The hosted server lives at mcp.supabase.com/mcp and uses OAuth with dynamic client registration, so you sign in through a browser and pick an organization. For CI and other headless setups you pass a scoped personal access token instead. The Supabase CLI also exposes a local MCP endpoint for local development.
The safety controls are the reason it ranks this high. A read_only flag runs every query as a read-only Postgres user, project_ref limits the server to one project, and feature groups let you switch off whole areas such as account management. Supabase is unusually direct about prompt injection risk and recommends keeping manual tool approval on and avoiding production data unless you need it.
The server is free to use with any Supabase account. Your normal Supabase plan covers the underlying resources.
6. Notion MCP — Notion-Hosted Remote Server For Pages, Databases And Search
Notion MCP lets an agent search your workspace (and connected sources), read pages, create and update pages, query databases, add comments and upload files. It is the easiest way to let an assistant draft a spec into your wiki, update a project tracker or pull meeting notes into a coding task.
It is a remote server hosted by Notion at mcp.notion.com/mcp over Streamable HTTP, with an SSE fallback and an mcp-remote bridge for clients that only speak stdio. Each client connection is authorized with OAuth, and the agent can only reach content the signed-in user can already see. Workspace owners can review and revoke connected clients, and Enterprise plans can restrict which MCP clients members may use.
One thing to know: Notion’s older open source notion-mcp-server package, which used integration tokens, is no longer actively maintained. Notion recommends the hosted server for most users, and some client galleries still ship the old package, so check which one you installed.
It suits teams that run documentation, roadmaps or CRM-style databases in Notion.
Atlassian’s remote MCP server (also called the Atlassian Rovo MCP Server) connects agents to Jira, Jira Service Management, Confluence, Bitbucket, Loom and Atlassian’s Goals and Projects. An agent can search and summarize tickets, create and update issues, draft Confluence pages from a conversation, or pull a Jira ticket’s context into a coding session.
It runs only as a hosted service, now at a v2 endpoint (mcp.atlassian.com/v2/mcp). Authentication is OAuth 2.1 by default, with API tokens as an option. Every action respects the user’s existing Atlassian permissions, so the agent cannot see a project the person cannot see.
Pricing works differently from most servers here: MCP usage draws on Rovo credits, with allowances that depend on your Atlassian plan. Check those limits before rolling it out to a large team.
It suits engineering, support and product teams already living in Jira and Confluence, and it pairs naturally with the GitHub server for “read the ticket, then open the PR” workflows. Teams on Linear have a comparable first-party option in Linear’s remote MCP server, which also offers a read-only endpoint.
8. Sentry MCP — Production Error Triage Inside Your Coding Agent
Sentry’s MCP server brings production errors to where the fix happens. An agent can search issues and events, look at stack traces, analyze performance data, triage issues and read Sentry docs, then move straight to editing the code that caused the problem.
It is a remote server at mcp.sentry.dev/mcp, and all connections use OAuth against your Sentry account. A useful detail: you can scope the URL to an organization or to a single project. Sentry recommends project scoping, which also hides discovery tools the agent does not need. An experimental flag exposes newer tool variants if you want to try them.
It suits teams that already use Sentry for error monitoring and want to shorten the loop from alert to pull request. If you are thinking more broadly about how to watch what coding agents do, see our list of the top observability tools for AI coding agents.
9. Stripe MCP — Payments Server With Agent API Keys And Human Confirmation For Refunds
Stripe’s MCP server lets an agent read and write Stripe data: customers, payments, subscriptions, invoices, products, prices, payment links, disputes and more, plus search Stripe’s documentation and support articles. Rather than one tool per endpoint, it uses a handful of general tools (search the API, get method details, read, write), which keeps the context footprint small while covering a large share of the API.
The hosted server is at mcp.stripe.com. Interactive clients authenticate with OAuth, where you choose which live accounts or sandboxes to grant and with what permissions. Autonomous agents use agent API keys with only the permissions they need. Note the deadline: from December 2026 Stripe MCP stops accepting full-access secret keys and restricted keys without the Agent tag, so migrate by November 30, 2026.
Stripe also builds in a safety net. Certain write actions, such as refunds and outbound payments, require a human to approve them through a confirmation link before they run. Admins can turn MCP access on or off for live mode and sandboxes separately and revoke sessions from the Dashboard.
It suits founders, finance teams and developers building on Stripe.
10. Figma MCP Server — Design Context, Code Connect And Canvas Writing For Agents
Figma’s MCP server feeds design context (variables, components, layout data) from selected frames into your coding agent so the code it generates matches the design. With Code Connect, it maps design components to the real components in your codebase, which keeps output consistent with your design system. It can also pull FigJam and Make resources as context.
The newer capability is writing back. Agents can create and modify native content in Figma Design, FigJam and Figma Slides, including frames, components, variables and auto layout. Writing to the canvas is free during its beta, with usage-based pricing planned later.
Figma recommends the remote server at mcp.figma.com/mcp, which needs no desktop app and has the broadest feature set. A desktop server running through the Figma app is available for specific organizational needs. Seat rules apply: writing outside your drafts needs a Full seat, and the desktop server needs a Dev or Full seat on a paid plan.
It suits product teams where designers and engineers want to cut the handoff step.
How To Choose An MCP Server
Is The Server Official Or Community Built?
Start with first-party servers whenever they exist. Everything on this list is run by the vendor whose system it touches or by the MCP project itself. Community servers can be excellent, but they ask you to trust an unknown maintainer with your tokens and data. If you must use one, read the code, pin a version, and check who publishes the package. A server that calls itself “GitHub MCP” is not necessarily GitHub’s.
What Permissions Does It Actually Need?
Treat every MCP server as code that acts with your credentials. Prefer servers that offer read-only modes (GitHub, Supabase, Linear), project or organization scoping (Supabase, Sentry), selectable toolsets, and human confirmation for risky writes (Stripe). Grant the narrowest OAuth scopes the client will accept, and keep tool approval switched on in your client for anything that writes. Our guide to MCP security tools covers scanners and policy layers that help here.
Should You Use Remote Or Local MCP Servers?
Remote MCP servers are hosted by the vendor, use OAuth, update themselves and work from web and mobile clients. They are the right default for SaaS systems. Local servers run on your machine over stdio and make sense when the resource is local (files, a browser, a dev database) or when data must not leave your network. Running many servers across a team quickly gets messy, which is where an MCP gateway helps by centralizing auth, logging and access policy.
Is It Actively Maintained?
Check commit and release dates, open issue counts, and whether the docs mention current spec features like Streamable HTTP and OAuth with dynamic client registration. Deprecated SSE-only endpoints and abandoned packages are red flags. Notion’s retired local server is a good example of why this matters: it still appears in some client galleries but no longer gets updates.
Do You Need One Server Per App Or A Multi-App Server?
Dedicated servers give you the deepest tools for a single product. If you need light access to dozens of apps, hosted multi-app options such as Zapier MCP, Composio and Pipedream expose thousands of actions behind one endpoint. We compare those three in Zapier MCP vs Composio vs Pipedream MCP.
Frequently Asked Questions
What Is An MCP Server?
An MCP server is a program that exposes tools, resources and prompts to AI applications using the Model Context Protocol, an open standard introduced by Anthropic in late 2024. The AI client (Claude, ChatGPT, Cursor, VS Code and others) connects to the server, discovers what it offers, and calls those tools on the user’s behalf.
What Is The Difference Between Local And Remote MCP Servers?
Local MCP servers run on your own computer, usually started by the client over stdio, and use whatever access your machine has. Remote MCP servers run on the vendor’s infrastructure, are reached over HTTP, and typically authenticate with OAuth so you never paste long-lived keys into a config file.
Are MCP Servers Free?
Most of the servers here are free to connect. You pay for the underlying product (GitHub, Supabase, Stripe and so on) as usual. Exceptions include Context7, which has paid plans above its free allowance, and Atlassian, where MCP usage draws on Rovo credits.
How Many MCP Servers Should I Connect At Once?
Fewer than you think. Every server adds tool descriptions to the model’s context, which costs tokens and can confuse tool selection. Connect the handful you use daily, trim toolsets where you can, and add others per project.
Conclusion
The best MCP servers in 2026 share three traits: they are run by the vendor that owns the system, they offer scoped or read-only access, and they are actively maintained against the current spec. For most developers, a starting set of GitHub, Playwright, Context7 and one database server covers the daily loop, with Notion, Atlassian, Sentry, Stripe or Figma added where your team works.
If you want to feature your company on this list, email us or submit a form in the Top Choices section. After a thorough assessment, we’ll decide whether it’s a valuable addition.
