← Back to guides
MCP stack planning

How to Build an MCP Stack for AI Agents

Learn how to plan an MCP stack for Claude, Cursor, and AI agents, including data sources, server categories, setup order, and security checks.

Updated 2026-06-0610 min readKeyword: how to build an mcp stack

An MCP stack is the set of clients, servers, data sources, and safety rules that let an AI agent use external context and tools. A good stack starts narrow: one workflow, one client, one or two read-only servers, and clear permissions.

This guide explains how to plan an MCP stack for Claude Desktop, Cursor, custom apps, and local development before you install servers or expose sensitive data.

Key takeaways

  • Start with the agent workflow, not with a random list of MCP servers.
  • Choose data sources and permissions before enabling write actions.
  • Security boundaries are part of the stack, not a task to add after launch.

What is an MCP stack?

An MCP stack combines an MCP client, one or more MCP servers, data sources, credentials, and safety rules. The client is where the model operates. The servers expose tools and context. The safety rules define what the agent can read, write, or request approval for.

A stack is not just configuration. It is an operating boundary for an AI agent.

  • Client: Claude Desktop, Cursor, or custom app
  • Servers: filesystem, GitHub, browser, database, docs
  • Data sources: files, repos, docs, tickets, messages
  • Controls: scopes, approvals, logs, secrets

Choose your MCP client

The client shapes the user experience and deployment model. Claude Desktop works well for local productivity. Cursor is useful for coding workflows. Custom apps need more engineering but can integrate with product-specific permissions and UI.

Pick one client for the first version. Testing multiple clients before the workflow is clear creates avoidable complexity.

  • Claude Desktop for personal workflows
  • Cursor for coding and repository context
  • Custom apps for productized agents
  • Local dev for experiments

Choose data sources

Data source selection should follow the agent goal. A coding assistant may need filesystem and GitHub. A research agent may need browser and notes. A support agent may need docs and tickets. Each data source adds risk and setup work.

Start with read-only access. Add write tools only after you know exactly which actions the agent should perform and how users approve them.

  • Filesystem
  • GitHub
  • Browser
  • Database
  • Docs or wiki
  • Slack or Discord
  • Calendar or email

Design security boundaries

MCP security starts with least privilege. Use narrow scopes, separate dev and production credentials, avoid secrets in config files, and require human approval for destructive actions.

Treat browser pages, documents, issues, and messages as untrusted content. They can contain prompt injection attempts that should not change tool permissions or reveal secrets.

  • Read-only first
  • Separate credentials
  • No committed secrets
  • Approval for writes
  • Audit tool calls

Example MCP stack for a coding agent

A coding agent stack might use Cursor, GitHub, and filesystem servers. The first version should read repository context, search issues, and inspect files. Write access should be restricted until review and rollback steps are defined.

  • Cursor client
  • GitHub server
  • Filesystem server
  • Read-only initial scope
  • Pull request review workflow

Use the MCP Stack Builder

The MCP Stack Builder asks for your goal, client, data sources, security level, and deployment preference, then returns recommended server categories, setup steps, security checks, and a config skeleton. It is static and does not connect accounts or call AI.

Implementation checklist

  • Define the agent goal
  • Choose one MCP client
  • Select only needed data sources
  • Start read-only
  • Separate secrets
  • Document approval and rollback steps

FAQ

What is an MCP stack?

It is the client, servers, data sources, credentials, and safety rules that let an AI agent use external tools and context.

How do I choose MCP servers?

Start from the workflow and data sources, then select only the server categories needed for that task.

Should I enable write tools immediately?

Usually no. Start read-only and add write tools after approval, logging, and rollback are clear.

Can I use this for Claude Desktop?

Yes. The planning method applies to Claude Desktop, Cursor, custom apps, and local development.

Does the MCP Stack Builder install servers?

No. It is a static planner and does not install packages, connect accounts, or store data.