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Scan for outdated or missing drivers - takes under a minuteDriver Scan →Repair Windows errors before they cause bigger problemsFix Now →MCP and REST solve different parts of the integration problem. REST is a way to expose application-specific endpoints; MCP standardizes how compatible AI clients discover and use tools, resources, and prompts. You can keep REST between your services and put an MCP server in front of it for AI clients. Neither option is secure by default: the decisive factors are identity, authorization, input handling, credential boundaries, and operations.
What MCP adds beyond a custom REST API
A custom REST API exposes endpoints designed by your team. It can work well when a known client already understands the endpoint paths, request schemas, and authentication model. But REST itself does not prescribe a shared way for AI clients to discover available tools, resources, or prompts.
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MCP defines those AI-facing conventions: a base protocol, capability and version negotiation, JSON-RPC 2.0 messages, and common interaction patterns. Its server features include tools, resources, and prompts. That shared contract can make an application usable from multiple compatible clients without designing a different tool interface for each one. See the MCP 2026-07-28 specification overview.
This does not make MCP a replacement for REST throughout an application. An MCP server can call existing REST services behind the scenes, translating an AI client’s request into an application-specific operation. The AI-facing boundary can use MCP while service-to-service communication remains REST.
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What changed in the latest MCP architecture
The latest specification located for this article is MCP 2026-07-28, announced on July 28, 2026. Its changes matter when reading older MCP guidance, particularly advice about persistent sessions and long-held HTTP connections. The release announcement summarizes the changes; the specification overview describes the protocol behavior.
Requests are stateless
The 2026-07-28 core is stateless: a request must contain the information needed to process it, and a server must not infer context from an earlier request or from the connection. The release retires the initialize/initialized exchange and the Mcp-Session-Id header. Each request carries protocol version, client identity, and capabilities in _meta; an optional server/discover method can let a client learn server capabilities.
This also changes deployment assumptions. Requests can be routed to different server instances behind a round-robin load balancer. If an application needs state across requests, pass an explicit identifier and manage that state deliberately; do not treat a connection or server process as the conversation boundary.
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Multi Round-Trip Requests replace some held-open interactions
Multi Round-Trip Requests (MRTR) support selected server-initiated operations that previously relied on keeping a stream open. A server can return input_required; the client then retries with the needed response attached. This is a defined interaction pattern, not a reason to assume every operation is a single request-and-response.
HTTP headers can support routing and metering
For Streamable HTTP requests, the release introduces Mcp-Method and Mcp-Name headers. A gateway, rate limiter, or web application firewall can use these headers to route or meter requests without parsing the JSON body, as described in the release announcement.
Caching and extensions have explicit roles
List and read responses can include ttlMs and cacheScope, giving clients information to consider when deciding whether and how to cache a response. This does not mean every response should be cached; the client still needs to respect the scope and lifetime indicated.
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Tasks moved into an extension. The release also marks Roots, Sampling, Logging, and legacy HTTP+SSE as deprecated, with a minimum twelve-month deprecation window. The announcement describes authorization changes including RFC 9207 issuer validation and a shift from Dynamic Client Registration toward Client ID Metadata Documents; DCR remains available for backward compatibility. Since extension and SDK support can differ, check the specific implementation’s status before planning a migration.
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Is MCP more secure than custom REST?
There is no protocol-level winner. MCP’s authorization specification sets requirements for HTTP-based MCP, but following a specification does not guarantee a secure deployment. A custom REST API can use strong controls too; its behavior depends on the design and the systems around it. Compare the actual identity and permission checks on every hop rather than treating “standardized” or “custom” as a security rating.
Keep MCP and upstream credentials separate
For HTTP-based MCP, clients must include the OAuth resource parameter, and servers must validate that tokens are intended for that server before processing requests. A token with the wrong audience—or without other proof that the MCP server is its intended recipient—must be rejected. The server must not forward the MCP client’s token to an upstream API; it needs a separate credential issued for that upstream service. These requirements and related OAuth protections are set out in the project’s Authorization Security Considerations.
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The same security guidance covers PKCE, HTTPS, exact redirect URI validation, state checking, authorization-response issuer validation, and authorization-server mix-up risks. OAuth use alone is not proof that the right user can perform the right operation: authorize each user and action against the permissions actually required.
Account for proxy and tool-specific risks
An MCP proxy can become a confused deputy if it uses its own upstream authority without the right user’s consent. The project’s Security Best Practices recommends obtaining consent for the relevant client before forwarding authorization to an upstream provider.
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State handles also need care: possession of a handle must not stand in for authentication. Make handles unpredictable and expiring, and bind server-side state to the authenticated principal. Treat tool descriptions, metadata, and returned content as potentially untrusted, and validate inputs and outputs rather than assuming protocol conformance makes their contents safe.
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The OWASP MCP Top 10 is a beta, living threat taxonomy—not a settled measure of how often these issues occur. Its categories include token mismanagement and secret exposure, privilege escalation, tool poisoning, supply-chain attacks, command injection, prompt injection through contextual payloads, insufficient authentication and authorization, and missing audit or telemetry.
Apply controls at deployment time
- Authenticate every request and verify token issuer, audience or resource, expiry, and scope before processing it.
- Enforce per-user, per-tool, and per-operation permissions; grant only the data access and actions each tool needs.
- Protect credentials in storage and logs, use short-lived credentials where applicable, and keep upstream credentials distinct from MCP client tokens.
- Review and pin server code and dependencies. For local servers, isolate execution and restrict filesystem, network, and command permissions.
- Record security-relevant tool activity, test error paths and multi-user isolation, and require explicit consent for consequential operations and upstream delegation.
Choose based on the integration you actually need
| Decision factor | MCP is a strong fit when | Custom REST is a strong fit when |
|---|---|---|
| Client interoperability | Several compatible AI clients need a common tool, resource, or prompt interface. | One controlled client needs a single application-specific API. |
| Integration shape | Tool discovery and shared interaction conventions are useful. | Existing endpoints already fit the client’s needs, or a narrower custom contract is simpler. |
| Governance | A shared protocol surface helps centralize routing, discovery, or tool governance. | Your organization already has mature API management and wants to retain its bespoke contract. |
| Security boundary | Your team can implement MCP authorization and per-tool permissions carefully. | Your team can enforce equivalent identity, authorization, validation, and auditing in its API stack. |
| Operations and evolution | You can support protocol revisions, SDKs, and the extension model. | You want to own a smaller interface and evolve its compatibility contract independently. |
Use the table as a requirements check, not a universal ranking. An existing REST API is not a reason to rule out MCP: an MCP adapter can expose selected capabilities to AI clients while delegating to the REST service. Keep authorization boundaries explicit across that adapter so the upstream service receives only the identity and authority it is meant to receive.
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A practical way to make the decision
- List the clients and capabilities. If several compatible AI clients need to discover and invoke the same tools, resources, or prompts, evaluate MCP. If there is one controlled client and a small, stable endpoint contract, custom REST may be simpler.
- Map identity end to end. Decide how the user is authenticated, what each tool may do for that user, and how the server authenticates to each downstream service. Do not forward an MCP client token as an upstream credential.
- Check operational readiness. Account for protocol and SDK updates, extension support, routing, auditing, deployment isolation, and ownership of compatibility changes.
- Choose the narrowest useful boundary. Keep application-specific operations in existing services where practical, and add an MCP layer when its common AI-client interface provides a concrete interoperability or governance benefit.
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