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Build an internal MCP server by defining a narrow set of tools, choosing stdio for a host-launched local process or Streamable HTTP for a remote service, and enforcing authorization inside the server on every request. MCP supplies the connection pattern and JSON-RPC protocol; it does not decide which employee may read or change your company’s data.
How an internal MCP server fits together
An MCP host is an AI application. It maintains a client connection to each MCP server, and the server exposes capabilities such as tools, resources, and prompts. The data layer defines JSON-RPC messages and MCP primitives; the transport layer handles connection and message delivery. Your application’s business rules and access policy remain your responsibility. See the MCP architecture overview.
A useful mental model is:
AI host → MCP client → MCP server → internal service or data store
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Define the tools and data boundary first
Start from a user goal and make each tool perform one recognizable action. For example, a support integration might offer separate tools to find a ticket, retrieve its details, and update its status rather than a single catch-all tool with many unrelated modes. OpenAI’s MCP server-building guidance recommends focused operations and exposing only the data and actions needed for the task.
- Use tools for actions. Make side effects explicit, separate reads from writes, and limit each operation to its intended scope.
- Use resources for reference data. The TypeScript server guide describes resources as retrieval-oriented and cautions against using them for heavy computation or side effects.
- Validate every input. Define an input schema with sensible bounds for strings, arrays, and nested values. The TypeScript v2 SDK validates tool calls against their schema before invoking a handler.
- Return only necessary fields. Avoid passing full internal records when the task needs only a small subset.
Tool descriptions and model instructions can guide use, but they are not security controls. Enforce permissions in the service path that actually reads or changes data.
Choose stdio or Streamable HTTP
The deployment boundary determines the transport. MCP’s current specification revision is dated 2026-07-28; consult its basic specification when implementing transport and authorization behavior.
| Decision point | stdio | Streamable HTTP |
|---|---|---|
| Where it runs | A local process launched by the host. | A remote service reached over HTTP. |
| Process ownership | The host typically starts and communicates with the server process. | The service is deployed and operated independently of a particular host process. |
| Client pattern | Typically a one-client local pattern, as described in the architecture overview. | Suitable when clients need to reach a remote server; plan service capacity and access controls for the deployment. |
| Reachability | Local standard input/output; it need not expose a network listener. | Network-reachable HTTP endpoint, so exposure and perimeter controls matter. |
| Credential approach | The specification says stdio implementations should retrieve credentials from the environment, not follow the HTTP authorization framework. | HTTP implementations should follow MCP’s Authorization framework. The architecture overview recommends OAuth for obtaining authentication tokens. |
Streamable HTTP supports HTTP POST and optional server-sent events. Select it when remote access is required, not simply because it appears more scalable. The sources establish transport options, not a performance winner or universal deployment recommendation.
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Select an SDK that fits the service
As of the official documentation checked against the 2026-07-28 specification revision, both the TypeScript and Python MCP SDKs identify v2 as their stable line. The TypeScript SDK v2 documentation shows an McpServer, schema-based registerTool, and serveStdio. The Python SDK v2 documentation supports stdio, Streamable HTTP, and SSE, and lists Python 3.10 or newer as a requirement.
Choose based on the application you are integrating with, your team’s existing language and runtime, and the specific transport and features you need. The documentation does not establish a universal winner or provide comparative performance benchmarks. Pin the SDK version and protocol revision in your implementation notes; APIs and security requirements can change.
The TypeScript server guide at the v1 maintenance documentation remains useful for examples such as bearer-token verification and tool error results, but it is not the current SDK baseline. Check its API details against v2 rather than copying them unchanged.
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Authenticate callers and authorize every operation
Authentication establishes who presented a credential; authorization decides what that identity may do. Verify credentials at the server boundary, map the verified identity to your organization’s access policy, and enforce permissions for every private-data read and user action. OpenAI’s guidance is explicit: “Enforce authorization in the MCP server for every request; never rely on the model to decide whether a user has access.” Never treat a caller-supplied user ID as proof of identity.
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For a remote HTTP server
Follow the MCP Authorization framework for HTTP-based implementations. Validate the token and its intended audience for this server before accepting a request, then check the authenticated subject’s permission for the specific resource and action in the handler or service layer. An authenticated employee is not automatically authorized for every internal tool.
For a stdio server
Retrieve credentials from the environment as the specification directs for stdio implementations. Do not apply the HTTP authorization framework as if the local process were an HTTP endpoint. Protect the process environment and avoid exposing secrets in logs or diagnostics.
The TypeScript v1 maintenance guide illustrates bearer-token verification and an expectedResource check that can reject a token intended for a different resource. It also warns that localhost host-header protection is not automatically applied when binding to all interfaces. Treat these as security examples, and verify the exact configuration and API in the SDK version you deploy.
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Keep request state explicit
An open connection is not a conversation boundary. The current specification says clients may interleave unrelated requests on the same transport; state that spans requests must be associated with an explicit identifier and supplied on each request. Do not use an open stdio process, HTTP connection, or ambient connection identity as a proxy for which user or conversation a request belongs to.
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For a multi-user internal system, derive identity from verified credentials and carry any needed task, record, or workflow identifier explicitly. Validate that identifier and re-check the caller’s permission before using it. This prevents one request’s context from silently becoming another request’s authority.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Separate protocol errors from tool failures
Use the error form that matches the failure. A malformed message or invalid protocol operation is not a successful tool call with an error-shaped payload. Conversely, a valid tool request that reaches a business rule or downstream service and cannot complete should return a clear tool execution failure.
Protocol and transport failures
The MCP architecture overview lists common JSON-RPC errors: Parse error (-32700), Invalid request (-32600), Method not found (-32601), Invalid params (-32602), and Internal error (-32603). For normative behavior, use the current specification rather than relying on older examples. It says requests missing required protocol metadata are malformed and must be rejected as invalid parameters; over HTTP, the status is 400. If a request requires a client capability that was not declared, return MissingRequiredClientCapabilityError (-32021) and identify the missing capability.
Expected tool execution failures
For a valid tool invocation that cannot be completed, return a concise explanation that helps the caller correct the request or decide whether a retry makes sense. The TypeScript server guide demonstrates returning explanatory content with isError: true. Do not send stack traces, credentials, internal hostnames, or implementation secrets to the caller. Log diagnostic detail through a protected operational channel instead.
Set limits and make failures observable
Bound inputs according to legitimate workloads. The TypeScript v1 server guide documents a default 4 MiB maximum request body for its Streamable HTTP transport and an optional maxToolInputElements guard for large nested arguments. These are SDK-specific, version-sensitive values, not protocol-wide limits; verify the defaults and configure appropriate limits in the SDK release you deploy.
Operational logs should help correlate and investigate requests without recording secrets. Where policy permits, capture a stable request identifier, authenticated subject identifier, tool name, outcome, and latency. Keep bearer tokens and other credentials out of logs. These details make it easier to distinguish authorization denials, invalid inputs, downstream failures, and transport problems.
Quick Recap
Pre-deployment checklist
- Expose only the tools, resources, fields, and actions needed for the intended workflow.
- Use schemas to validate arguments and set bounds on large or nested inputs.
- Keep read and write operations distinct; make side effects and required permissions clear.
- Choose stdio for host-launched local use or Streamable HTTP when remote reachability is necessary.
- Verify identity and authorize each resource and action on every request; deny access by default.
- Use explicit identifiers for state shared across requests instead of relying on process or connection continuity.
- Test both expected tool failures and protocol or transport failures, including malformed requests and insufficient permissions.
- Keep caller-facing errors useful but safe, and keep diagnostic logs free of credentials.
- For destructive actions, require confirmation where the host’s user experience supports it; do not mistake confirmation for server-side authorization.
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