# Ageniti

> Use this tool when you need to integrate AI agents with existing React and TypeScript applications, enabling agents to access specific product actions through various interfaces such as MCP, CLI, and HTTP. Ageniti solves the problem of exposing app capabilities to AI agents while maintaining the existing application architecture. It provides a typed contract system for defining accessible app capabilities, making it ideal for building agent-enabled applications.

Canonical page: https://skillsregistry.net/skills/ageniti-ageniti  
JSON: https://api.skillsregistry.net/v1/skills/ageniti-ageniti

## Description

Ageniti is a TypeScript SDK that enables existing React and TypeScript applications to expose selected product actions as tools for AI agents through MCP, CLI, HTTP, OpenAI, and AI SDK interfaces. It uses a typed contract system to let developers define which app capabilities agents can access, keeping the existing application architecture intact. Ageniti is for building apps that agents can use, not for building agents themselves.

## Trust

- **Trust score (0–1):** 0.61
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-01

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/ageniti-ageniti)
- **Repository:** <https://github.com/ageniti/ageniti>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "ageniti-ageniti"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ageniti-ageniti` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ageniti-ageniti/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt