> ## Documentation Index
> Fetch the complete documentation index at: https://docs.fiddler.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Use Fiddler with AI Agents

> Install Fiddler's published agent skills and connect the documentation MCP server so your AI coding agent can onboard models and set up monitoring in Fiddler.

Fiddler publishes agent skills and a documentation server so your AI coding agent can learn how to use Fiddler — onboarding a model, wiring up monitoring, and picking the right SDK — without you pasting docs into the chat.

## What Ships

An agent skill is a packaged set of instructions and working code patterns your agent loads on demand. Fiddler publishes these skills in the open agentskills.io format directly from the documentation site. Two skills ship today:

| Skill                   | What it does                                                                               | Typical trigger                                            |
| ----------------------- | ------------------------------------------------------------------------------------------ | ---------------------------------------------------------- |
| `fiddler`               | Orients an agent in Fiddler's product surface and points it to the right path and SDK.     | Any Fiddler task where the agent must pick a path or SDK.  |
| `fiddler-ml-onboarding` | Walks an agent through onboarding a traditional ML model end to end and publishing events. | Onboarding a tabular model or publishing inference events. |

Alongside the skills, Fiddler serves a documentation Model Context Protocol (MCP) server at `https://docs.fiddler.ai/mcp`. A connected agent can search and read the docs, and the skills are exposed as MCP resources, so an agent can read them without installing anything.

## Connect the MCP Server

Connecting the MCP server is the fastest way to start — it requires no installation and works with any MCP client.

Use the page-actions menu on every docs page to connect a client in one click: open it and choose your client from the Cursor, VS Code, and MCP entries.

For any other MCP client, add the server manually:

```json theme={null}
{
  "mcpServers": {
    "fiddler-docs": {
      "url": "https://docs.fiddler.ai/mcp"
    }
  }
}
```

For the most reliable results, also install the skills: in testing, agents with the skills installed completed onboarding tasks that documentation search alone did not.

## One-Line Install

Install the skills into your supported agents with a single command. It requires Node.js (which provides `npx`) and detects which agents you have installed, adding the skills to each:

```bash theme={null}
npx skills add https://docs.fiddler.ai
```

The command installs into each detected agent's skills directory — for Claude Code, the project's `.claude/skills/` (or `~/.claude/skills/` for a user-scope install). To confirm the skills are active, ask your agent "which Fiddler skills do you have available?", or start a task that mentions onboarding a Fiddler model and check that the `fiddler-ml-onboarding` skill engages.

## Compatibility

This matrix lists only what is tested today. It grows as we verify more agents.

| Agent          | Loads and applies skills         | Reads skills over MCP (`/mcp`) |
| -------------- | -------------------------------- | ------------------------------ |
| Claude Code    | Verified (project-scope loading) | Verified                       |
| Any MCP client | Not applicable                   | Verified                       |

Copying a skill's raw `SKILL.md` into your agent's skills directory is the verified path today and the fallback when an agent supports neither install-from-URL nor MCP; the discovery index at `https://docs.fiddler.ai/.well-known/agent-skills/index.json` lists every published skill's `SKILL.md` URL. `npx skills add https://docs.fiddler.ai` is the streamlined one-liner and works with any agent the skills CLI supports. Additional agents, such as Cursor, get their own rows here as we verify them.

<Note>
  Skills are most reliably applied by frontier-tier models. A smaller model may need an explicit nudge — for example, "use the fiddler-ml-onboarding skill" — to apply the packaged guidance.
</Note>

## Everything Else Your Agent Needs

For anything the skills do not cover, point your agent at the Fiddler llms.txt index (`https://docs.fiddler.ai/llms.txt`) and connect the documentation MCP server (`https://docs.fiddler.ai/mcp`). Together they let an agent discover and read any page on the docs site on demand.

## Next Steps

<Columns cols={3}>
  <Card title="Onboard an ML Model" icon="chart-line" href="/developers/quick-starts/simple-ml-monitoring">
    Register a tabular model and start monitoring drift and performance in about 10 minutes.
  </Card>

  <Card title="Monitor an LLM Application" icon="robot" href="/developers/quick-starts/simple-llm-monitoring">
    Stand up monitoring for an LLM or GenAI application end to end.
  </Card>

  <Card title="Get Started in 10 Minutes" icon="rocket" href="/developers/quick-starts/get-started-in-less-than-10-minutes">
    A condensed, end-to-end tour of Fiddler for your first hands-on run.
  </Card>
</Columns>