Codex MCP setup: add a remote MCP server to the Codex CLI and IDE extension
Set up MCP in OpenAI Codex: codex mcp add, the config.toml shape for remote and stdio servers, OAuth via codex mcp login, and checking the tools load.
Notes from building Agent First public-data Skills
Skills, MCP patterns, KOL pricing, public-data economics, and lessons from the live platforms that agents call.
Using ChatGPT, Claude Code or another client? See the setup steps

Agent posts help operators connect general agents, research agents, coding agents, and MCP-capable clients to UnifAPI. They focus on the practical path from hosted MCP URL to OAuth sign-in to the first public-data workflow run, with API keys kept as a compatibility path rather than the default first step.
This category currently includes 14 posts. New entries are written for readers who want concrete implementation detail, clear tradeoffs, and copyable patterns for agent workflows.
Each article is written to be useful in two modes: a human can read the narrative and decide what to build next, while an agent can extract the task shape, public-data sources, constraints, and expected output. That is why category pages include the full context around the posts instead of acting as a thin archive.
If you are evaluating UnifAPI for your own stack, use these posts as implementation notes rather than announcements. They explain where public-data APIs help, where MCP changes the onboarding path, how billing maps to returned records, and how a workflow can stay inspectable after it moves from a chat thread into a product surface. They also keep the vocabulary consistent across the site, which makes the archive more useful for search crawlers, AI retrievers, and teams comparing several agent-data architectures.
Set up MCP in OpenAI Codex: codex mcp add, the config.toml shape for remote and stdio servers, OAuth via codex mcp login, and checking the tools load.
Add an MCP server to Cursor: where mcp.json lives, remote url vs local command shapes, OAuth sign-in, and the one-click install link you can share.
Add an MCP server to Claude on Claude.ai, Claude Desktop and Claude Code: custom connectors, claude_desktop_config.json and claude mcp add, step by step.
Let Claude, ChatGPT or Codex read public X profiles, posts, replies and search: connect the UnifAPI MCP server, or paste tool definitions for the paid X API.
We curl-tested eight Twitter viewers the way an AI agent would. Most block scripts or hide data in JavaScript. Viewers suit people; agents need MCP or an API.
AI agent context in 2026: rules vs skills, MCP servers, commands, subagents and hooks — and the simpler setup most operators actually need.
Why UnifAPI puts marketing Agents first, loads Skills as workflows, and keeps SEO, GEO, browser and social APIs as the evidence layer.
How UnifAPI packages Agents and Skills so operators can load workflows and connect the read-only public-data MCP server without building a custom app.
How the UnifAPI AI Visibility Agent turns GEO records into cited reports for AI answer citations, LLM mentions, brand visibility, and prompt gaps.