MCP can connect Claude to your SaaS through either a developer’s Claude Code setup or a remote server called by your application through the Claude Messages API. Choose Claude Code for a local development or operator workflow; choose the API connector when you are building Claude-powered functionality into your product. “Claude routines” is not a specific Anthropic feature name here—it describes the workflow you want Claude to perform with your product.
What MCP does in a SaaS integration
The Model Context Protocol (MCP) is an open protocol for connecting AI applications with external systems. An MCP server exposes data, tools, or workflows; a client such as Claude can then use those capabilities rather than relying only on information copied into a prompt. The protocol documentation defines MCP as “an open-source standard for connecting AI applications to external systems.” Model Context Protocol documentation
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For a SaaS product, the key design choice is what the server makes available. It might expose read-only information, actions, or both. Keep each tool’s purpose and inputs aligned with the permissions your product actually grants; connecting Claude does not replace your product’s authorization rules.
Choose the route that matches where Claude will run
| Decision | Claude Code MCP setup | Messages API MCP connector |
|---|---|---|
| Main use | Developer or operator workflow in Claude Code | Claude functionality built into a SaaS application |
| Server reachability | Local stdio process or remote server | Remote MCP server |
| Configuration surface | Claude Code CLI and configuration scopes | Messages API request and connector tool configuration |
| Authentication and controls | Server-specific authentication; project-server approval and configuration scope can matter | OAuth bearer-token support and per-tool allow, deny, or configuration controls |
| Change sensitivity | CLI behavior and transport guidance can vary by version | Connector documentation marks the feature beta; check the current API request requirements |
The distinction is practical: Claude Code configuration affects a developer’s Claude Code environment, while the Messages API route lets your application make a request using a remote MCP server. The API connector documentation describes remote servers; do not assume it connects directly to a local stdio process.
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Route 1: Connect Claude Code to tools through MCP
Use this route when a developer or operator wants Claude Code to work with an existing SaaS or internal service. The MCP server may run locally and communicate through stdio, or it may be remote. For remote connections, Claude Code’s documentation recommends HTTP as the broadly supported option; some servers use SSE, and transport behavior can depend on the Claude Code version. Follow the server provider’s instructions for its endpoint, transport, and authentication.
Add a remote HTTP server
- Get the server URL and authentication instructions from the service or server owner. Do not reuse an endpoint from an unrelated example.
- In the terminal, add the server using the documented command form:
claude mcp add --transport http <name> <url>. Check the current Claude Code CLI reference and MCP documentation for syntax and version requirements before relying on a command in a team workflow. - If the server requires authentication, complete the flow specified by its owner. A successful configuration command by itself does not prove that authentication or connectivity works.
Run a local stdio server
Use stdio when the MCP server process runs on the same machine as Claude Code. Claude Code’s documentation shows launching a server command locally, including commands such as npx placed after --, and passing requested environment variables through the configuration command. Use the actual command and environment variables documented by the server provider; do not put live credentials in committed configuration or published examples.
Choose configuration scope and verify the connection
Claude Code supports scopes, including user-level configuration and project configuration that can be shared with a team. Project-configured servers may require approval. Choose the scope deliberately: a shared project server can be useful for a team, but it should expose only the tools the project needs and be reviewed before approval.
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To inspect configured connections, use claude mcp list, claude mcp get <name>, or the /mcp command in Claude Code. Check the server’s status and complete any required authentication. Then try each permitted operation and confirm that success, denial, and error cases behave as your service expects. These checks are implementation guidance, not a guarantee that configuration alone validates your integration.
See Anthropic’s Claude Code MCP documentation for current setup and management details.
Route 2: Connect a remote MCP server through the Messages API
Use the Messages API MCP connector when the MCP capability should be part of a SaaS application rather than a developer’s local Claude Code setup. The connector lets the API connect to remote MCP servers without requiring your application to implement a separate MCP client. Its documentation lists tool calls, OAuth bearer tokens, multiple servers, and controls for allowing, blocking, or configuring tools individually. Anthropic marks the feature beta, so verify the current request shape and any required beta header in the MCP connector documentation before implementation.
At a high level, your application makes a Messages API request that identifies the remote MCP server and configures which tools Claude may use. The server must be reachable remotely; a local stdio process is not the connection model described by this connector. Use the server’s own endpoint and authentication instructions rather than assuming that all MCP services support OAuth or use the same credential format.
Preserve your SaaS authorization model
Your application remains responsible for deciding what the logged-in user and your service are allowed to do. Design tool access so a user cannot gain broader permissions merely because Claude can call a server. Where appropriate, use OAuth bearer-token support and the connector’s documented tool controls to limit available actions. Keep credentials on the server side of your application, not in client-visible code, and never publish or commit live tokens.
Test the integration with accounts and cases that represent the permissions your product enforces. Confirm that a read-only user cannot trigger a write action, that denied operations stay denied, and that errors do not leak data. This is application-level validation, not a behavior guaranteed by MCP or the connector.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Design the server around the workflow and its permissions
- Define the job. Decide whether Claude should retrieve information, perform a permitted action, or support a multi-step workflow. Avoid exposing broad tools when a narrowly scoped operation meets the need.
- Map tools to product permissions. Match each tool’s inputs and effects to what the relevant user and service may do. Treat read access and write access as distinct capabilities.
- Select the topology. Use a local stdio process for a local developer workflow. Use a remotely reachable server for a hosted integration or for Claude Code when connecting remotely.
- Follow the server’s transport and authentication requirements. Obtain the correct endpoint and credential flow from the server owner. OAuth may be available, but it is not universal.
- Limit and review access. Configure only necessary servers and tools. In Claude Code, choose the appropriate scope and review project-server approval; in the Messages API connector, use the documented tool allow, deny, and configuration controls.
- Verify behavior. Check connection and authentication status, then exercise each exposed action against authorization, denial, and error cases.
Account for server trust and untrusted content
An MCP server can provide data and perform actions, so installing or connecting one gives it a meaningful role in the workflow. Anthropic advises Claude Code users to trust servers they install and warns that content retrieved from external sources can create prompt-injection exposure. This is a security design concern, not evidence that every MCP server is unsafe. Review the server’s origin and behavior, limit its tools and permissions, and treat returned content as data to assess—not as authority to override your application’s rules.
For current product-specific setup details, use the Claude Code MCP guide for Claude Code and the MCP connector reference for the Messages API. The connector is beta, and CLI transport or command details can change, so confirm the applicable documentation before deployment.
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