Claude Code vs Cursor: Running Parallel AI Agents in Both

Two IDEs, One Protocol

Claude Code and Cursor are the two most popular AI-native development environments. Both support MCP (Model Context Protocol), which means both can connect to external tools that extend their capabilities. This shared protocol is what makes multi-agent orchestration possible in either environment without writing IDE-specific plugins.

But "both support MCP" does not mean the experience is identical. The way each IDE handles MCP connections, manages context, and presents results differs in ways that affect how you run parallel agents.

This post walks through setting up multi-agent orchestration in both environments, compares the practical differences, and offers tips for getting the best results in each.

Setting Up orchex in Claude Code

Claude Code is a terminal-based AI assistant. MCP servers are configured in a .mcp.json file at your project root:

{
  "mcpServers": {
    "orchex": {
      "command": "npx",
      "args": ["-y", "@wundam/orchex@latest"]
    }
  }
}

When you start Claude Code in a directory containing this file, it automatically connects to the orchex MCP server. You can verify the connection by asking Claude to list available tools -- you should see the 12 orchex tools: init, add_stream, status, execute, complete, recover, learn, init-plan, auto, reset-learning, rollback-stream, and reload.

How Claude Code Handles MCP

Claude Code runs MCP servers as child processes. This means orchex inherits your shell environment, including any API keys you have set:

export ANTHROPIC_API_KEY="sk-ant-..."
export OPENAI_API_KEY="sk-..."

No env block is needed in the MCP configuration. Your keys flow naturally from your terminal session to the orchestrator.

Claude Code displays tool calls inline in the conversation. When orchex executes multiple streams in parallel, you see each tool call and its result as they complete. The terminal-based interface is information-dense, which works well for monitoring orchestration progress.

Setting Up orchex in Cursor

Cursor is a GUI-based IDE built on VS Code. MCP servers are configured through the settings UI or by editing the MCP configuration file. Navigate to Settings > MCP or add the configuration directly:

{
  "mcpServers": {
    "orchex": {
      "command": "npx",
      "args": ["-y", "@wundam/orchex@latest"]
    }
  }
}

The configuration syntax is identical. Cursor also runs MCP servers as child processes, so environment variable inheritance works the same way.

How Cursor Handles MCP

Cursor's Composer mode is where MCP tools are most useful. In Composer, you can ask the AI to use orchex tools to plan and execute multi-stream workflows.

Cursor's GUI provides a more visual experience. Tool calls appear as collapsible sections in the chat panel. For orchestration, this means you can expand individual stream results to inspect them or collapse completed streams to focus on active ones.

One practical difference: Cursor's Agent mode can chain multiple MCP tool calls automatically. If you ask it to "orchestrate adding a REST API with tests," Cursor's agent can call auto (which handles planning through execution) without you manually triggering each step.

Practical Differences

Context Window Management

Claude Code (powered by Claude) has strong long-context handling. When orchex returns execution reports with multiple stream results, Claude Code processes the full report effectively, even when it contains thousands of lines of generated code across many files.

Cursor supports multiple models (Claude, GPT-4o, and others). Context handling varies by model. For large orchestration results, Claude-based sessions in Cursor perform similarly to Claude Code. With other models, you may need to be more selective about which stream results you inspect in detail.

Environment Variable Handling

Both IDEs inherit environment variables from the parent process. However, the way you launch each IDE affects which variables are available:

• Claude Code: Launched from the terminal, so it inherits your shell's environment directly. If you have OPENAI_API_KEY in your .zshrc, it is available.
• Cursor: Launched from the dock or application menu, which may not source your shell profile. On macOS, applications launched from the GUI do not inherit terminal environment variables by default.

If your API keys are not being picked up in Cursor, launch it from the terminal:

cursor /path/to/your/project

Or add the keys to Cursor's MCP configuration explicitly:

{
  "mcpServers": {
    "orchex": {
      "command": "npx",
      "args": ["-y", "@wundam/orchex@latest"],
      "env": {
        "ANTHROPIC_API_KEY": "sk-ant-...",
        "OPENAI_API_KEY": "sk-..."
      }
    }
  }
}

Note: storing keys in config files is less secure than environment variables. Use this only if terminal launching is not practical.

Workflow Style

The two IDEs encourage different interaction patterns:

Claude Code favors conversational orchestration. You describe a task, review the plan orchex generates, approve it, and watch execution. The terminal interface encourages a "command and review" workflow where you stay close to the details.

Cursor favors autonomous orchestration. Composer's agent mode can handle the full cycle (plan, approve, execute, apply) with less manual intervention. The GUI interface encourages a "delegate and inspect" workflow where you review final results rather than intermediate steps.

Neither approach is better. It depends on how much control you want during execution.

When to Use Which

Choose Claude Code When:

• You want maximum visibility into each step of the orchestration
• You are debugging a failed stream and need to inspect error details
• Your project requires complex multi-turn conversations to define the orchestration scope
• You prefer terminal workflows and keyboard-driven interaction
• You are working over SSH on a remote machine

Choose Cursor When:

• You want to see file changes in a diff view immediately after orchestration
• You prefer GUI interactions with collapsible sections for large outputs
• You are running straightforward orchestrations that do not need step-by-step oversight
• You want to use the built-in git integration to review and commit orchestration results
• You are working on frontend code where the visual editor is valuable

Use Both

There is no rule against using both. Some developers use Cursor for day-to-day coding with occasional orchestration and switch to Claude Code for complex, multi-wave orchestrations that benefit from the terminal's information density.

Since orchex stores its state in a .orchex/ directory within your project, switching between IDEs mid-orchestration works without issues. Start a plan in Cursor, review status in Claude Code, continue execution in either.

Tips for Both IDEs

Start with the auto tool. It handles the full pipeline (plan, init, execute) in a single call. This is the fastest way to see results regardless of which IDE you use.

Use status liberally. After execution, the status tool shows the current state of all streams, including which succeeded, which failed, and which are pending. Both IDEs render this output clearly.

Check the execution report. After a run, orchex generates a detailed report with timing data, token usage, and error summaries. This is valuable for understanding costs and optimizing future orchestrations.

Set up multiple providers. Having API keys for at least two providers (e.g., Anthropic + OpenAI) gives you fallback options if one provider is slow or rate-limited. This works identically in both IDEs.

# Recommended minimum setup
export ANTHROPIC_API_KEY="sk-ant-..."
export OPENAI_API_KEY="sk-..."

The choice between Claude Code and Cursor is ultimately about your preferred development style, not about orchestration capability. Both give you full access to orchex's 12 MCP tools, parallel execution with file ownership, self-healing, and multi-provider support.

Try both with a small orchestration task and see which workflow feels right. The orchex documentation has setup guides for both environments.