Top 10 MCP Servers in 2026

TL;DR

• The best MCP servers in 2026 are vendor-run, remote servers that authenticate with OAuth and inherit the signed-in user’s existing permissions, rather than community wrappers holding a shared API key.
• GitHub, Atlassian Rovo, Slack, Notion, Linear, HubSpot, Salesforce, and Stripe all operate official hosted MCP servers; Google’s Workspace MCP servers are in developer preview, and Zapier bridges thousands of apps that lack a server of their own.
• Every MCP server widens the attack surface for prompt injection and tool poisoning, which OWASP lists as MCP06 and MCP03 in its MCP Top 10.
• Read-only modes, scoped toolsets, and restricted API keys are the most effective per-server controls; centralized auth, tool allowlists, and audit logs belong in an MCP gateway in front of all of them.

MCP servers are the connectors that expose a product’s data and actions to AI clients through the Model Context Protocol, the open standard that Claude, ChatGPT, Cursor, Copilot, and most agent frameworks now speak. By late 2026 the question is no longer whether a SaaS vendor ships an MCP server but which of the hundreds of available servers are maintained, safely authenticated, and worth connecting. This guide ranks the 10 best MCP servers for business and general engineering use, covering hosting model, authentication, notable tools, and the main caution for each. It closes with how teams run these servers behind an MCP gateway such as Bifrost, an open-source AI and MCP gateway built by Maxim AI, so access stays governed as the number of connected servers grows.

How MCP Servers Work: Remote vs Local

An MCP server is a process that advertises tools, resources, and prompts to an MCP client over JSON-RPC. A local server runs on the user’s machine and talks over stdio; a remote server runs on the vendor’s infrastructure and talks over Streamable HTTP, usually behind OAuth 2.1. For SaaS data, a remote server is the better default.

The distinction matters for security and operations:

• Remote (hosted) servers are updated by the vendor, authenticate each user through a browser OAuth flow, and respect the permissions that user already has in the product. Nothing is installed on the laptop.
• Local servers are packages (often npx or Docker) that run with the same privileges as the client. They are necessary for files, browsers, and local tooling, but the MCP specification’s security best practices warn that a local server can execute arbitrary code and must only be configured with explicit consent.
• Community wrappers around a vendor API often store a long-lived token in a config file. Most of the vendors below now publish an official server, which removes the reason to use one.

This list focuses on servers for business systems and shared engineering workflows. Developer-tooling servers for documentation lookup, browser automation, databases, and infrastructure as code are a separate category with different risks, and are covered in a companion ranking for coding agents. Teams that already have a sprawl of unreviewed servers on employee machines can start with the survey of shadow AI tools.

Key Criteria for Choosing the Best MCP Servers

Each server below was assessed on six criteria. The weighting favors servers a security team can approve without custom engineering.

Best MCP Servers Compared at a Glance

The table summarizes the 10 servers ranked in this guide. “Remote” means the vendor hosts the endpoint.

1. GitHub MCP Server

The GitHub MCP Server is GitHub’s official server for repositories, issues, pull requests, Actions, code security alerts, discussions, and projects. It is the most widely installed MCP server and the one most non-engineering roles (product, support, program management) also find useful for triaging issues and summarizing pull requests.

• Hosting: remote at api.githubcopilot.com/mcp/, or local via the ghcr.io/github/github-mcp-server Docker image. GitHub Enterprise Server requires the local build.
• Auth: OAuth in supporting hosts, a personal access token, or GitHub App credentials for non-interactive use.
• Notable tools: issue and pull request search and creation, file reads, workflow run inspection, and code scanning alerts. More than 20 toolsets can be enabled selectively; the default set covers context, repos, issues, pull requests, and users.
• Caution: issue and PR bodies are untrusted input. Researchers showed in 2025 that a poisoned public issue could steer an agent with a broad token into leaking private repository data, so scope tokens to the repositories the task needs and start with --read-only.

Best for: any team that tracks work in GitHub and wants agents to read, triage, and summarize it, with write access added deliberately.

2. Atlassian Rovo MCP Server

The Atlassian Rovo MCP Server is a cloud-hosted bridge to Jira, Confluence, Jira Service Management, Bitbucket, and Compass. Atlassian moved it from beta to general availability in February 2026, and it has become the default way to give agents access to tickets and team documentation.

• Hosting: remote only, operated by Atlassian, and limited to Atlassian Cloud sites.
• Auth: OAuth 2.1 or API tokens; every action runs as the signed-in user.
• Notable tools: Jira issue search with JQL, issue creation and updates, Confluence page search, retrieval, and creation.
• Caution: Confluence spaces often contain pasted credentials and customer data. Admins should use the domain allowlist and audit logs Atlassian provides, and decide whether write tools are needed at all.

Best for: organizations standardized on Jira and Confluence that want agents to draft tickets, update status, and answer questions from internal documentation.

3. Slack MCP Server

Slack’s own remote MCP server reached general availability in February 2026. It lets AI clients search and read messages, channels, threads, canvases, and users, and send or schedule messages within the authenticating user’s permissions.

• Hosting: remote at mcp.slack.com/mcp over Streamable HTTP.
• Auth: confidential OAuth with user tokens. Only Slack Marketplace (directory-published) apps or internal apps may use MCP, and workspace admins approve each client integration.
• Notable tools: message and file search, channel and thread reads, send, schedule, and draft message, and canvas create, read, and update.
• Caution: Slack history is the largest single pool of unstructured company context, and any message an agent reads can carry an injected instruction. Restrict which channels are in scope and treat send-message as a privileged tool.

Best for: teams that want assistants to summarize threads, find past decisions, and post updates without exporting Slack data elsewhere.

4. Notion MCP

Notion MCP is Notion’s hosted server for searching, reading, and editing workspace pages and databases. Its tools return Notion-flavored Markdown designed for model consumption rather than raw block JSON, which keeps responses compact.

• Hosting: remote at mcp.notion.com/mcp, with Streamable HTTP recommended and SSE supported.
• Auth: user-based OAuth only; bearer-token authentication is not accepted, so there is no long-lived key to leak.
• Notable tools: notion-search, notion-fetch, notion-create-pages, notion-update-page, notion-create-database, and comment tools.
• Caution: the agent sees everything the user can see, including private pages shared with that user. Teams with sensitive wikis should use a dedicated account or restrict which members connect.

Best for: product and operations teams whose specs, PRDs, and runbooks live in Notion.

5. Google Workspace MCP Servers

Google publishes a set of Workspace MCP servers, one per product: Gmail, Drive, Docs, Sheets, Slides, Calendar, Chat, and People. They entered public developer preview with a gradual rollout from May 2026, after being announced at Cloud Next ‘26.

• Hosting: remote, per-product endpoints such as gmailmcp.googleapis.com/mcp/v1.
• Auth: OAuth 2.0 with a client ID created in a Google Cloud project where the matching MCP APIs are enabled. Admins control access under Security > API Controls in the Admin console.
• Notable tools: Gmail search, read, and draft; Drive file listing, fetch, upload, and permission management; Calendar availability and event management.
• Caution: the servers are still in preview, so tool names and behavior can change. Email is a primary injection channel because anyone can send content into an inbox; draft-only flows are safer than auto-send.

Best for: Workspace-based companies willing to run preview software in exchange for first-party access to mail, documents, and calendars.

6. Linear MCP Server

The Linear MCP server was one of the first vendor-hosted remote servers, built with Cloudflare and Anthropic. It lets agents create, update, and search issues, manage projects and cycles, and read teams, users, and documents.

• Hosting: remote at mcp.linear.app/mcp, plus a read-only endpoint at mcp.linear.app/mcp/readonly.
• Auth: OAuth 2.1 with dynamic client registration, or an API key for headless backend agents.
• Notable tools: issue create, update, and search, comments, project and cycle planning, and document search.
• Caution: API-key mode bypasses per-user consent, so keys used by backend agents should be scoped and rotated like any service credential.

Best for: engineering and product teams on Linear, especially those who want a read-only connection for reporting agents.

7. Salesforce Hosted MCP Servers

Salesforce Hosted MCP Servers became generally available in April 2026 for Enterprise Edition orgs and above, after a pilot in spring 2025 and a beta in October 2025. They expose org data and logic, including SObject CRUD, SOQL queries, search, flows, and Apex actions, to any MCP client.

• Hosting: remote, managed by Salesforce, configured under Setup > API Catalog > MCP Servers.
• Auth: OAuth 2.0 with PKCE through an External Client App with the mcp_api and refresh_token scopes.
• Notable tools: standard SObject servers for record CRUD, SOQL, and search, plus custom tools built from Apex, flows, and prompt templates.
• Caution: CRM data is regulated data in many industries. Expose custom, narrowly defined tools rather than general SOQL access wherever possible, and confirm field-level security applies to the integration user.

Best for: enterprises on Salesforce that want agents in Claude, ChatGPT, or Cursor to read and update CRM records under existing org governance.

8. HubSpot MCP Server

The HubSpot MCP server graduated from beta to general availability in April 2026 for all HubSpot accounts, adding write access along the way. It covers contacts, companies, deals, tickets, quotes, invoices, products, and engagement activity such as calls, meetings, notes, and tasks.

• Hosting: remote at mcp.hubspot.com.
• Auth: OAuth 2.1 with PKCE; existing HubSpot user permissions apply to every call.
• Notable tools: CRM object search, read, create, and update, activity logging, and marketing content objects.
• Caution: write access to deals and contacts can silently corrupt pipeline reporting. Pilot with read-only users before granting sales reps write-enabled connections.

Best for: mid-market sales, marketing, and service teams that run on HubSpot rather than Salesforce.

9. Stripe MCP Server

The Stripe MCP server gives agents access to the Stripe API and Stripe’s documentation. It can create and list customers, products, and prices, create invoices and payment links, issue refunds, manage subscriptions and disputes, and read balances.

• Hosting: remote at mcp.stripe.com, with a local option from Stripe’s agent toolkit.
• Auth: OAuth is the recommended path; a restricted API key passed as a bearer token is supported for clients and headless agents that cannot do OAuth.
• Notable tools: customer, invoice, payment link, refund, subscription, and coupon operations, plus documentation search.
• Caution: this is a money-moving server. Restricted keys define what the agent can do, so create one per use case with only the needed resources, and require human approval for refunds and subscription changes.

Best for: finance operations and support teams that need agents to look up payments and handle routine billing tasks under tight permissions.

10. Zapier MCP

Zapier MCP turns Zapier’s catalog of more than 8,000 app integrations into MCP tools, which makes it the practical option for systems that have no official server. Zapier auto-provisions a server on sign-in and pre-enables actions for apps already connected to the account.

• Hosting: remote, operated by Zapier.
• Auth: OAuth sign-in; each tool call runs through the user’s existing Zapier app connections.
• Notable tools: any enabled Zapier action, plus discovery tools that let an agent find and enable new actions on demand.
• Caution: each successful tool call consumes two Zapier tasks from the plan allowance, and dynamic action discovery means the agent’s tool surface can grow without review. Pin a fixed action list for production use.

Best for: teams that need one connection to reach the long tail of SaaS apps, or that already run their automations in Zapier.

Security Considerations for MCP Servers

Every server on this list turns external content into model input and model output into actions. The three risks below account for most real incidents and apply regardless of vendor quality.

• Prompt injection through data. Issues, emails, Slack messages, and CRM notes are written by people outside the agent’s trust boundary. OWASP’s MCP Top 10 lists prompt injection via contextual payloads (MCP06) and context over-sharing (MCP10) as distinct risks.
• Tool poisoning. A malicious or compromised server can hide instructions in tool descriptions that the user never sees but the model reads. Invariant Labs demonstrated the attack in April 2025 by getting an agent to exfiltrate SSH keys through a harmless-looking tool. Official, vendor-hosted servers reduce this risk; unvetted community servers increase it.
• Over-scoped credentials and shadow servers. The MCP specification forbids token passthrough and recommends progressive, least-privilege scopes. OWASP adds scope creep (MCP02), missing audit telemetry (MCP08), and shadow MCP servers (MCP09), meaning servers employees connect without security review.

The comparison below maps each server’s built-in mitigation to the residual risk a team still has to manage.

Per-server controls cover only part of the problem. Consistent authentication, cross-server allowlists, and a single audit trail require a layer in front of all the servers, which is the role of an MCP gateway. The earlier review of MCP governance tools covers that category in depth.

Running These MCP Servers Behind an MCP Gateway with Bifrost

An MCP gateway sits between AI clients and MCP servers, holding upstream credentials, deciding which tools each caller may use, and logging every call. Running the servers above behind one gateway replaces 10 separately configured connections per user with one governed endpoint.

Bifrost works as both an MCP gateway and an LLM gateway, so tool calls and model calls pass through the same control plane. It acts as an MCP client to upstream servers over STDIO, HTTP, or SSE, and exposes the aggregated tools to Claude Desktop, Cursor, and custom applications through its own /mcp endpoint. The controls that map directly to the risks above are:

• Centralized authentication. Bifrost supports static headers, server-level and per-user OAuth, per-user headers, and token exchange for upstream servers, so OAuth tokens for GitHub, Notion, or Atlassian are managed in one place instead of on each laptop.
• Per-virtual-key tool allowlists. MCP tool filtering is deny-by-default: a virtual key with no MCP configuration gets no tools, and each key can be limited to specific tools from specific servers. A support agent’s key can reach Stripe’s read tools and nothing else, while an engineering key gets GitHub and Linear. Virtual MCPs bundle a curated subset of tools behind a stable /mcp/<slug> URL.
• Guardrails and governance. Budgets, rate limits, and access policies come from the same AI governance layer that controls model usage, and AI guardrails can inspect LLM and MCP inputs and outputs for secrets, PII, and policy violations.
• Audit logs and observability. Enterprise audit logs record administrative changes as HMAC-signed events with export to JSON, JSON Lines, or Syslog, and request logging, OpenTelemetry traces, and Prometheus metrics come from the AI observability layer.
• Code Mode token savings. Connecting many servers floods the context window with tool schemas. Code Mode replaces the full catalog with four meta-tools and lets the model write Starlark (a Python subset) to orchestrate calls. In Bifrost’s benchmark at 508 tools across 16 servers, it cut input tokens by 92.8% and ran about 40% faster.

A gateway only governs traffic that is configured to use it. Employees still add MCP servers directly to Claude Desktop, Cursor, or Claude Code on their own machines, which is the shadow MCP problem OWASP calls out. Bifrost Edge, currently in alpha, extends the gateway’s governance and security controls to employee laptops: it inventories the MCP servers configured inside Claude Code, Claude Desktop, Cursor, Codex, Gemini CLI, and OpenCode across the fleet, and enforces per-server allow or deny decisions on the device. The gateway remains the policy engine; Edge carries those policies to the endpoint. Teams comparing gateway options can start with the ranking of top MCP gateways.

Frequently Asked Questions

What is an MCP server?

An MCP server is a program that exposes a product’s data and actions as tools, resources, and prompts that AI clients can call through the Model Context Protocol. The client, such as Claude, ChatGPT, or Cursor, discovers the server’s tools and lets the model invoke them. Remote MCP servers run on the vendor’s infrastructure and authenticate with OAuth; local servers run on the user’s machine.

Are MCP servers safe to use?

MCP servers are as safe as their maintainer, their authentication model, and the permissions granted to them. Official vendor-hosted servers with OAuth and read-only options are the lower-risk choice. The main threats are prompt injection through data the server returns, tool poisoning by malicious servers, and over-scoped tokens. An MCP gateway with tool allowlists and audit logs reduces all three.

What is the difference between a remote and a local MCP server?

A remote MCP server is hosted by the vendor and accessed over HTTPS, usually with per-user OAuth, so there is nothing to install or update. A local MCP server runs on the user’s computer over stdio with the same privileges as the client. Remote servers suit SaaS data; local servers suit file systems, browsers, and developer tools.

Do MCP servers cost money?

Most official MCP servers are included with the underlying product at no separate charge, though they consume the same API quotas and rate limits. Some have usage-based pricing: Zapier MCP charges two tasks per successful tool call. The larger cost is usually model tokens, because every connected server adds tool definitions to the context window.

How many MCP servers should one agent connect to?

Connect only the servers a given workflow needs, typically three to five. Each server adds tool schemas to the prompt, which increases token cost and raises the chance the model picks the wrong tool. Teams that need many servers can use gateway features such as per-key tool filtering or Bifrost’s Code Mode to keep the context small.

Which MCP servers are the most popular?

GitHub’s MCP server is the most widely installed, followed by servers for project tracking (Atlassian, Linear), knowledge (Notion, Slack), and developer tooling such as Playwright and Context7. Popularity is a weaker signal than maintenance and auth model; an official server with fewer users is usually a better choice than a popular community wrapper.

Choosing and Governing Your MCP Servers

The best MCP servers in 2026 share three traits: the vendor runs them, they authenticate each user with OAuth, and they offer a way to narrow what an agent can do. GitHub, Atlassian, Slack, Notion, Linear, Salesforce, HubSpot, and Stripe all meet that bar today, with Google Workspace close behind once its preview ends and Zapier covering the remaining apps. The harder problem is governing a dozen servers across hundreds of users, which is where a gateway layer earns its place. For centralized auth, per-key tool allowlists, and fleet-wide MCP visibility, see the Bifrost LLM gateway capabilities that run alongside its MCP features.