Integration platforms for AI agents

Connect MCP servers to your AI agents

Updated November 4, 2026.

The Model Context Protocol (MCP) is an open standard for connecting AI applications to outside tools and data. An app publishes an MCP server, and any agent that speaks MCP can list its tools and call them. Many apps now host a remote MCP server, so giving an agent their tools takes a URL and a sign-in.

SFCrew is an open source app for AI teammates that do real work. You talk to each bot in chat, bots use tools in your apps, and each bot also has its own computer. You can use it on SFCrew Cloud or host it yourself. Every MCP server you add becomes tools your bots can use, alongside the apps in the integrations catalog.

Bug TriageTools from MCP servers
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What is MCP?

MCP defines how an AI application finds the tools a server offers, calls them and gets results back. Anthropic released it in November 2024 and in December 2025 donated it to the Agentic AI Foundation, part of the Linux Foundation. The protocol is open source and its specification is developed in public.

A local server is a program on the same machine as the agent, talking over standard input and output (stdio). A remote server lives on the web and is reached over HTTP. Remote servers that need an account use OAuth, so you sign in with the app in your browser and the agent never sees your password.

The Model Context Protocol docs page, headed What is the Model Context Protocol (MCP)?
The Model Context Protocol documentation.

What bots can do with MCP servers in SFCrew

  • Add a remote server by URL, or find an app's server with Browse MCP servers, which searches integrations.sh. SFCrew speaks Streamable HTTP and the older SSE transport.
  • Sign in with OAuth. SFCrew registers itself with the provider when it allows that, stores the grant encrypted and refreshes it. Servers that take a bearer token or a custom header work too, and the credential is never sent to the model.
  • Choose which bots use a server. A bot asks in the chat before its first use; choose Approve, or Authorize if you need to sign in.
  • See when a server breaks. Test connection shows whether it works and why not. A bot whose server is down is told so instead of quietly losing its tools.
  • Follow your approval settings. In Ask mode a bot asks before a call that changes something. Tools the server marks as read-only usually run without asking.
  • Install a plugin from GitHub that bundles remote MCP servers with skills that teach bots to use them. Anyone can build one and submit it.

When to choose MCP servers

Choose an MCP server when the app already publishes one. The app's own team decides what the tools do, and there is no platform in the middle. If you host SFCrew yourself, MCP is also how you reach an internal tool or run a server on your own machine.

Composio and Pipedream are managed platforms with ready-made tools for many apps, which helps when an app has no good MCP server. If an app only has a REST or GraphQL API, API connectors turn it into tools. The comparison puts all four side by side.

Limits and security

  • Remote servers must be at a public HTTPS address. Localhost and private networks are refused unless the operator sets MCP_ALLOW_PRIVATE_ENDPOINT=true on the API and worker, which allows them for every user. Cloud metadata addresses stay blocked.
  • Stdio servers are off unless the API and worker have MCP_STDIO_ENABLED=true and the command is in MCP_STDIO_ALLOWED_COMMANDS. They run with the server's own access, so only admins, the verified accounts in SFCREW_ADMIN_EMAILS, can add one. Bots never do.
  • npx packages are installed once without running install scripts. Other runners such as uvx are refused; install those servers on the host and allowlist the binary.
  • Plugins can only include remote servers, and SFCrew never runs code from a plugin's repository.
  • Very large tool results are cut to fit the bot's context, unless you turn on Keep tool results whole for that server.
  • A tool can return text anyone wrote, such as an email. Keep Ask or Auto approvals on for bots whose servers can make changes.

How to set it up

Anyone with an account can add a remote server, on SFCrew Cloud or a self-hosted server. Stdio servers are for admins of a self-hosted SFCrew. See Connect apps and the tools and integrations guide.

  1. Open Integrations from Connect apps at the bottom of the sidebar and choose +.
  2. Choose Browse MCP servers, search for the app and choose Connect. To enter a URL yourself, use Manage MCP servers → Add server.
  3. Choose Connect OAuth and sign in if the server asks. If the provider only accepts a client you create in its console, open Advanced, add the Redirect URI shown there to that client, then enter its client ID, and its secret for a confidential client.
  4. Ask a bot to use the server and approve its first use, or choose Use in this bot.
  5. For a stdio server, an admin sets MCP_STDIO_ENABLED and MCP_STDIO_ALLOWED_COMMANDS on the API and worker, then adds it under Add server → STDIO.

FAQ

How do I connect a remote MCP server that uses OAuth?

Add its URL in Integrations, choose Connect OAuth and sign in with the app. SFCrew stores the grant encrypted and refreshes it. If the provider only accepts a client you create, register the Redirect URI shown under Advanced with it, then enter its client ID there, plus the secret for a confidential client.

Can I run local stdio MCP servers?

Yes, on a self-hosted SFCrew with MCP_STDIO_ENABLED=true and the command listed in MCP_STDIO_ALLOWED_COMMANDS. Only admins can add one, because it runs with the server's own access.

Can bots reach an MCP server on localhost or my network?

Only on a self-hosted SFCrew with MCP_ALLOW_PRIVATE_ENDPOINT=true. It applies to every user, so leave it off on public installs.

Do too many MCP tools slow an agent down?

Every tool description takes room in the model's context. SFCrew gives a bot up to 20 MCP tools directly; past that, the bot searches for the tools it needs and loads only those.

More ways to give AI agents tools

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