What AI assistants can do with Grid
AI-accessible documentation
These Grid docs are automatically available to LLMs and AI tools in machine-readable formats — no configuration needed.llms.txt
Grid docs generate llms.txt files that give AI tools a structured index of all documentation:/llms.txt— Concise index of all pages with titles and descriptions/llms-full.txt— Complete documentation content in a single file
llms-full.txt when you want to give an AI assistant full context about the Grid API in one shot.
Markdown export
Each page in the Grid docs is automatically available as a Markdown file simply by adding.md to the end of the URL.
For example, the Building with AI page is available as /platform-overview/building-with-ai.md.
Install the Grid API agent skill
The Grid API skill gives Claude Code or another Skill-compatible agent full access to the Grid API via a built-in CLI. Install it with:Configure your credentials
To set your grid credentials, simply ask the agent to help you configure them:~/.grid-credentials for future use.
MCP server
Grid provides a Model Context Protocol (MCP) server that gives AI agents access to Grid’s documentation, so your agentic workflows have full context of the Grid API during implementation.search_grid_api_documentation— Search the Grid docs for relevant guides, code examples, and API referencesget_page_grid_api_documentation— Retrieve the full content of a specific documentation page
The MCP server provides documentation access to support agentic implementation workflows. It does not yet support interacting with the Grid API directly — use the Grid API agent skill or direct API calls for that.
Example prompts
Try these prompts in Claude Code or paste them into your AI assistant of choice:Getting started
Payouts
On/off-ramps
Account management
Debugging
Tips for best results
- Be specific about your use case — “Send a payout to Brazil via PIX” gets better results than “help me send money”
- Start with the sandbox — Ask the AI to use sandbox mode so you can experiment without real funds
- Give context — Paste the relevant docs page or point the AI to
/llms-full.txtfor full API context - Iterate on errors — If an API call fails, paste the error and ask the AI to diagnose it