Build Apps for Agents
A standard SDK for building agent-facing apps across MCP, CLI, React, and AI tool stacks.
React
TypeScript
Node.js
npm
Next.js
OpenAI
Anthropic
Vercel
LangChain
Express
HonoClaudeReactTypeScriptNode.jsnpmNext.jsOpenAIAnthropicVercelLangChainExpressHonoClaudeStart from the entry point that matches your app
Mature documentation sites usually make the next step obvious. Start fresh, integrate into an existing app, or jump in with a template.
Start with the core flow
Learn the baseline setup, package layout, and the first action-to-surface workflow.
Integrate into an existing app
Follow practical recipes for MCP servers, React apps, route handlers, and automation scripts.
Start from a template
Use pre-configured starter templates when you want working scaffolds instead of wiring boilerplate by hand.
Define once, expose everywhere
Build your application capabilities as strongly-typed actions, then adapt them to multiple agent-facing surfaces without rewriting business logic.
Shared Runtime
One execution model for validation, permissions, retries, logs, progress, and artifacts.
CLI & MCP
Expose the same action contract through command-line workflows and Model Context Protocol servers.
OpenAI & AI SDK Tools
Map actions to tool schemas for OpenAI-compatible stacks and Vercel AI SDK style integrations.
Built for agent-facing apps, not agent theatre
Ageniti focuses on the layer between an existing product and the systems that need to call it safely.
Keep your app architecture
Start from one stable capability and expose it as an action without rewriting your existing UI stack.
Unify multiple entry points
Use the same contract across CLI, MCP, React invocation, JSON automation, and LLM tool calling.
Ship with runtime controls
Apply validation, confirmation, authorization, timeout, retry, and output checks in one place.
Cover the main integration paths
Expose selected application capabilities to the environments where agents and operators actually work.
Use templates to skip integration boilerplate
Template galleries are a common pattern in modern SDK docs because they shorten time-to-first-success. Ageniti ships the same kind of jumpstart layer.
CLI Starter
A minimal scaffold containing a hello-world action and a basic CLI launcher script.
MCP Server Template
A standard MCP stdio server ready for Claude Desktop, including tool exposure and error handling.
Vercel AI Bridge
Convert Ageniti actions into Vercel AI Core Tools inside a Next.js Route Handler for LLM usage.
Integrate gradually
Ageniti works best when you start from a narrow, stable capability and grow outward.
Wrap one capability
Choose an existing flow like search, invoice creation, or account lookup, then define it with a typed action contract.
Add a headless entry
Keep your existing React or Next.js structure, and add a small Node-safe app entry for runtime and launcher wiring.
Expose where needed
Generate the surfaces you need for agents, operators, internal automation, or local development.
What it is, and what it is not
Ageniti is infrastructure for exposing application capabilities. It does not try to become your agent framework.
What Ageniti does
What Ageniti does not do
Start with one capability, not a rewrite
Read the docs, define a first action, and expose a real part of your application to agents the controlled way.