mcp-code-execution

You can reduce token usage in MCP server integration by executing calls in external scripts outside the agent context. This approach moves large tool definitions out of the prompt, returning only minimal, essential data to the agent.

The best way to run MCP calls without loading tool definitions is using external wrapper scripts. These wrappers execute the tools outside the agent context and surface only essential content, minimizing prompt size.

You need the Python requests library installed to support external MCP wrapper scripts. The wrappers also require a SKILL.md file with frontmatter and a scripts directory to execute the tools and return structured data.

Yes, external code execution enables scalable MCP-based automation for data processing and API integration. By orchestrating tasks through external scripts, it minimizes token load while handling complex real-world workflows.

Integrating external MCP servers increases prompt size because large MCP tool definitions are loaded directly into the agent context. Moving these calls to external wrappers prevents this token load by returning minimal data.

A limitation of moving MCP tool definitions to external wrappers is the requirement for a structured scripts directory and specific return formats. Complex MCP server integrations must be carefully mapped to ensure essential data is correctly surfaced.