No, Cursor Pro does not charge extra for large file indexing. Indexing is included in the Pro subscription with no per-file or per-MB fees – you get full codebase indexing within the plan’s size thresholds. If your project exceeds practical limits, you can manage scope with a .cursorignore file, selective workspace indexing, or upgrading to the Business tier for higher limits. This guide covers exactly how indexing works and strategies for keeping large codebases efficient.

Understanding Cursor’s Indexing System

Cursor uses an indexing system to analyze your codebase and build a knowledge graph of your project. This index enables several core features:

The indexing process scans your codebase and builds an internal representation that the AI can query. Without this index, Cursor would only see the currently open file, severely limiting its effectiveness on larger projects.

Cursor Pro Pricing and Indexing Limits

As of 2026, Cursor Pro does not charge extra specifically for large file indexing. Instead, Cursor uses a subscription model with different tiers:

The Pro subscription includes indexing capabilities sufficient for most individual developer projects and small team codebases. However, Cursor does impose practical limits on the total size of codebases it can effectively index and process. These limits are not strict per-file charges but rather overall project size thresholds.

The practical limits you will encounter include:

When you exceed these limits, Cursor will typically notify you and may prioritize indexing certain files over others, or you may need to configure which parts of your project to index.

How to Check Your Project’s Indexing Status

Cursor provides built-in ways to monitor your indexing status. You can check this directly in the Cursor interface:

  1. Look at the status bar at the bottom of the Cursor window
  2. Use the command palette (Cmd/Ctrl + Shift + P) and search for “Indexing Status”
  3. Check Cursor settings under “AI” or “Indexing” sections

You can also configure which folders to exclude from indexing. This is particularly useful for large projects with generated files, dependencies, or build artifacts:

{
  "cursor.indexing": {
    "exclude": [
      "node_modules/**",
      "dist/**",
      "build/**",
      "*.log",
      ".git/**",
      "coverage/**",
      "__pycache__/**"
    ],
    "include": [
      "src/**",
      "lib/**",
      "*.ts",
      "*.js",
      "*.py"
    ]
  }
}

By excluding directories that do not contain your source code, you can keep your indexing focused on what matters and avoid wasting resources on files that the AI does not need to understand.

Strategies for Managing Large Codebases

If your project exceeds Cursor’s practical limits, several strategies can help you maintain effective AI assistance:

1. Selective Indexing with .cursorignore

Create a .cursorignore file in your project root to exclude non-essential directories:

# Dependencies
node_modules/
vendor/
venv/
.env/

# Build outputs
dist/
build/
out/
target/

# Generated files
*.generated.js
*.generated.ts
coverage/

# Large data files
*.json (if > 10MB)
*.sql
*.db

This approach lets you focus Cursor’s indexing on your actual source code.

2. Split Large Monorepos

If you work with a monorepo, consider indexing specific packages or modules rather than the entire repository:

{
  "cursor.indexing": {
    "rootFolders": [
      "packages/core/",
      "packages/api/",
      "packages/ui/"
    ]
  }
}

You can then open different workspaces for different parts of your monorepo.

3. Use Workspace-Specific Context

For very large projects, explicitly tell Cursor which files are relevant to your current task:

@file:src/auth/login.ts
@file:src/auth/middleware.ts
@file:tests/auth.test.ts

This approach bypasses the need for full-project indexing when you are working on specific features.

4. Upgrade to Business Tier

If you are working on enterprise-scale projects, Cursor’s Business plan provides higher indexing limits and additional features. Contact Cursor Sales for current pricing and limits specific to your organization’s needs.

Common Questions About Cursor Indexing

Does indexing use my API quota?

No. The indexing process is separate from your AI API usage. You do not consume AI credits when Cursor indexes your codebase. However, when you ask questions or request completions that require looking at indexed files, those queries do count toward your AI usage.

Can I index multiple projects?

Yes, Cursor can handle multiple indexed projects, but each project counts separately against your account’s limits. You can switch between projects in Cursor, and it will re-index as needed.

What happens if I exceed the limit?

When you approach or exceed indexing limits, Cursor will typically:

You will still be able to use Cursor, but some features may work with reduced context.

Is there a per-file cost?

No. Cursor Pro does not charge on a per-file basis. The pricing is subscription-based, and indexing is included within the plan’s limits. There are no additional fees for indexing more files up to the plan’s threshold.

Performance Tips for Large Projects

To get the best performance from Cursor on large codebases:

Summary

Cursor Pro does not charge extra for large file indexing in the sense of per-file or per-MB fees. Instead, it uses a tiered subscription model where the Pro plan includes substantial indexing capabilities suitable for most development projects. If your codebase grows exceptionally large, you can manage indexing through configuration files like .cursorignore, use workspace-specific context, or consider upgrading to Business-tier plans for higher limits.

The key is understanding that indexing is designed to be included within your subscription, and with proper configuration, most developers can work effectively with Cursor on projects of significant size without additional charges.

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