---
title: "Comparison: MCP vs SDK Memory with Hindsight"
authors: [benfrank241]
date: 2026-04-16
tags: [comparison, mcp, sdk, memory]
description: "Compare MCP vs SDK memory with Hindsight so you can choose the right integration path for AI clients, custom apps, and team workflows."
image: /img/blog/comparison-mcp-vs-sdk-memory-with-hindsight.png
hide_table_of_contents: true
---

![Comparison: MCP vs SDK Memory with Hindsight](/img/blog/comparison-mcp-vs-sdk-memory-with-hindsight.png)

If you are deciding between **MCP vs SDK memory with Hindsight**, the real difference is where you want the integration boundary to live. MCP is ideal when you want existing clients or agents to connect to Hindsight as a tool server. SDK integration is better when you are building the application logic yourself and want memory embedded directly in code.

Neither path is universally better. They solve different integration problems. MCP gives you a standardized protocol surface for compatible clients. SDK integration gives you tighter control over routing, prompting, and application behavior inside your own codebase.

This comparison explains when each one fits, where each one becomes awkward, and which default to choose for common situations. Keep the [docs home](https://hindsight.vectorize.io/docs) and the [quickstart guide](https://hindsight.vectorize.io/docs/quickstart) open if you want the implementation details while you decide.

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> **Short answer**
>
> - Use **MCP** when you want existing clients or agents to connect to Hindsight with minimal custom code.
> - Use **SDK integration** when you are building the app and want direct control over bank IDs, request flow, and memory usage.
> - If your client already supports MCP well, start there. If you are writing the whole app yourself, start with the SDK.

## What MCP means in practice

With MCP, Hindsight exposes tools such as retain, recall, and reflect over a standard protocol endpoint. A compatible client connects to that endpoint and uses the tools.

This is a great fit when the client already understands MCP and you do not want to write a custom memory layer from scratch.

Examples:

- Claude Desktop
- Cursor
- Windsurf
- ChatGPT connectors
- an MCP gateway setup through another platform

The appeal is obvious: once the client is connected, memory becomes available without deep app-specific integration work.

## What SDK integration means in practice

With an SDK integration, your application calls Hindsight through a package or client library directly. You decide when tools are created, which bank IDs are used, and how memory fits into the rest of your request pipeline.

This is a better fit when you own the application code and want memory to be part of your internal architecture, not just an external tool endpoint.

Examples:

- Vercel AI SDK apps
- framework integrations like AG2 or Paperclip
- custom API backends
- apps that need strict per-user routing in request handlers

## Side-by-side comparison

| Dimension | MCP | SDK |
|---|---|---|
| Best for | Existing compatible clients | Apps you build yourself |
| Integration work | Lower | Higher |
| Application control | Lower | Higher |
| Protocol standardization | Higher | Lower |
| Bank routing control | Moderate | High |
| Good for non-coders using tools | Yes | Less often |
| Good for custom product logic | Sometimes | Yes |

## When MCP is the better choice

MCP is the better fit when:

- your client already supports MCP cleanly
- you want a standard tool interface
- you want to avoid building memory glue code
- you want one endpoint many tools can share

This is why MCP is attractive for desktop AI tools and multi-client environments. You configure the endpoint, authorize it, and memory tools show up.

If you are exploring local deployment, the [quickstart guide](https://hindsight.vectorize.io/docs/quickstart) and [Hindsight's recall API](https://hindsight.vectorize.io/docs/api/recall) are good follow-ups.

## When SDK integration is the better choice

SDK integration is the better fit when:

- you already control the request handler or backend code
- you need explicit per-user or per-tenant bank routing
- memory should be deeply integrated into your app logic
- you want to decide exactly when retain or recall happens

This is usually the better path for product builders. The deeper your custom logic becomes, the more valuable the direct integration model gets.

For storage and routing behavior, [Hindsight's retain API](https://hindsight.vectorize.io/docs/api/retain) is worth reviewing.

## The key tradeoff

The main difference is **where the intelligence lives**.

- With **MCP**, the client decides when and how to use the tools.
- With **SDK integration**, your application decides how memory fits into the workflow.

That means MCP is often faster to adopt, while SDK integration is often better for product-level correctness and isolation.

## Common examples

### Choose MCP when

- you are connecting Claude Desktop to memory
- you want Cursor or Windsurf to use Hindsight quickly
- you are exposing memory through a gateway like ContextForge
- you want one protocol surface for several clients

### Choose SDK when

- you are building a Vercel AI SDK product
- your AG2 or Paperclip workflow needs request-aware bank routing
- you want memory behavior controlled by server logic
- you need tighter guarantees around isolation

## Migration notes

Many teams start with MCP because it is fast to test. Later, if memory becomes a core product capability, they move the critical path to SDK integration so bank routing and retain timing are application-owned.

The reverse also happens. Teams building a custom app may still expose the same memory bank over MCP later for developer tools or support clients.

## FAQ

### Is MCP less capable than SDK integration?

Not exactly. The difference is less about capability and more about control.

### Is SDK integration always more work?

Usually yes, but that extra work often buys better app-level guarantees.

### Can I use both?

Yes. Many teams use SDK integration in the product and MCP for surrounding tools.

### Which one should I start with?

Start with MCP if the client already supports it. Start with SDK if you already own the app backend.

## Next Steps

- Start with [Hindsight Cloud](https://hindsight.vectorize.io) if you want the easiest managed backend
- Read the [full Hindsight docs](https://hindsight.vectorize.io/docs)
- Follow the [quickstart guide](https://hindsight.vectorize.io/docs/quickstart)
- Review [Hindsight's recall API](https://hindsight.vectorize.io/docs/api/recall)
- Review [Hindsight's retain API](https://hindsight.vectorize.io/docs/api/retain)
- Compare team patterns in [Team Shared Memory for AI Coding Agents](https://hindsight.vectorize.io/blog/team-shared-memory-ai-coding-agents)
