# AI Agent Platform Developer Docs

> Connect agent clients, follow safe task recipes, understand permissions and approvals, and check supported client configurations.

- Human page: https://mailrith.com/developers/category/agent-platform
- Markdown page: https://mailrith.com/developers/category/agent-platform.md
- Guide count: 8
- Last updated: 2026-07-22
- Related keywords: AI Agent Platform, AI Agent Platform developer docs, Mailrith developer docs, Mailrith public API, Agents, AI Agent Quickstarts, AI Agent Architecture And Security, AI Agent Client Compatibility, AI Agent Examples, AI Agent Analytics And Compliance, AI Agent Supported Actions And Support, MCP Server

Agent notes:
- Use these category links to choose the most specific Mailrith developer guide before writing integration code.
- Use the OpenAPI document for exact request and response schemas.

## Guides
- [Agents](https://mailrith.com/developers/agents.md): Mailrith exposes a compact discovery stack for AI agents: llms files on the marketing site, version metadata on the API root, the versioned OpenAPI contract, authenticated capability discovery, and official SDK and MCP entry points after a workspace key is available.
- [AI Agent Quickstarts](https://mailrith.com/developers/agent-quickstarts.md): Follow four task-based paths for a five-minute read, campaign drafting, an exact approval-based live send, and isolated sandbox testing without giving an agent broad workspace control.
- [AI Agent Architecture And Security](https://mailrith.com/developers/agent-security.md): Mailrith uses one public resource model, least-privilege credentials, typed operations, exact action approval, existing delivery safeguards, and compact redacted activity across every supported agent client.
- [AI Agent Client Compatibility](https://mailrith.com/developers/agent-compatibility.md): Use the current compatibility matrix and read-only starter configurations, then record live conformance against an exact client build or review date before making a support claim.
- [AI Agent Examples](https://mailrith.com/developers/agent-examples.md): Each example demonstrates one safe Mailrith workflow, lists its required permissions, and keeps reads, retries, writes, approvals, and stored data bounded.
- [AI Agent Analytics And Compliance](https://mailrith.com/developers/agent-analytics-and-compliance.md): Use compact outcome reports and privacy-conscious diagnostics, then save evidence-backed recommendations and reference-only experiments that still pass through permissions, preview, policy, and approval.
- [AI Agent Supported Actions And Support](https://mailrith.com/developers/agent-supported-actions.md): Use the current supported-actions matrix, understand Agent Control terms, account for freshness and compliance boundaries, and troubleshoot without sharing secrets or Subscriber content.
- [MCP Server](https://mailrith.com/developers/mcp.md): Mailrith's official MCP server is the highest-level interface for agent runtimes. This page covers the remote endpoint and includes copy-paste examples for OpenAI, Claude, n8n, and Pipedream.