# MCP server

> Give agents the ability to do more than just write code. Give them access to do everything they need to build on your product, such as reading docs, debugging API calls and updating settings.

Source: https://www.restless.ai/mcp-server

## Features

- Interactively get your users onboarded to your product right from their IDE.
- Give their agent the tools to debug calls or tweak settings.
- Let your users access your product without leaving Claude or ChatGPT.

## Writing code is the easy part

Give agents the tools to build on your platform.

### Get the initial code written

The agent reads your docs through the MCP server and writes code that runs the first time.

### Debug what went wrong with API calls

It reads your logs to find why a call failed, then tells you what to do next.

### Tweak settings

The agent changes your configuration directly, without opening a dashboard.

## See who's using your API

Who connected, which tools they use, and what they're calling.

What you can see:

- Install funnel
- AI tools in use
- Top search queries
- Top requested endpoints
- Recent conversations
- Clicks by installer
- Requests by AI tool

## Everything an agent needs, in one server

One hosted MCP server turns your endpoints, docs, use cases, and logs into tools any AI client can install and call.

### Install in one step

We give your developers a single prompt to install the MCP server and kick off the integration. Works in Claude, ChatGPT, Cursor, VS Code, and any MCP client.

### Smart Tool Sorting

Performance degrades with too many tools, so we automatically surface your most-used endpoints as tools and keep the rest available via a tool search.

### Use cases

Curate several endpoints into a single use case, and it shows up as one tool an agent can call.

### Understand your API

Agents search your docs and context to figure out how to implement against your API, instead of guessing.

### Search and sort your logs

Give agents access to debug API calls by filtering, searching, and sorting them.

### Solicit feedback

There's a built-in tool that lets agents flag unclear docs, missing capabilities, or broken calls straight to your team.

## Related features

- [Agentic docs](https://www.restless.ai/agentic-docs) — Docs built AI-first, structured for how agents consume them.
- [Agent Recovery](https://www.restless.ai/agent-recovery) — When an agent hits an error, the response tells it how to fix it.
- [AI Traffic](https://www.restless.ai/ai-traffic) — See how agents use your API, split out from developer traffic.

## Setup

Setup is a breeze. Restless is tightly integrated with your API, so we install a small SDK. Don't worry, we walk you through every step of the way.

Run this in your API's repo:

```sh
npx restless init
```

Or hand the setup to your coding agent with this prompt:

```text
Set up Restless in this repo by running `npx restless init` and following the steps.
```

To try it on a demo API instead:

```sh
git clone git@github.com:restlesshq/demo.git && cd demo && npx restless init
```

Nothing is uploaded without your permission.

The CLI runs four steps:

1. **Map out APIs.** Locate your APIs, generate an OpenAPI (OAS) file, and write it to `.restless/`. An OAS file is the shape of your API: every endpoint, parameter, and response. Later steps use it to install the right adapter and wire up the middleware exactly. The scan points Claude Code, running locally on your machine, at your codebase to find your routes. Commit the `.restless/` folder along with your code; it's meant to live there.
2. **Install SDK.** The CLI detects the project runtime, selects its adapter, installs the Restless SDK and wires the request middleware.
3. **Test your setup.** Local traffic capture starts, and the CLI confirms requests are reaching Restless.
4. **Set up account.** Log in to claim your project on Restless.

Privacy: scanning runs entirely on your machine via your own Claude Code install. We don't see a single line of your code, and nothing gets sent to our servers at that step.

## More from Restless

- [Restless](https://www.restless.ai/index.md): Restless makes your API self-improving. Every API call, support question, and error leaves it better for the next request.
- [Features](https://www.restless.ai/features.md): A new surface for your API: a public, LLM-first hub that gets every caller started and keeps them moving.
- [Documentation](https://www.restless.ai/documentation.md): Restless generates your API documentation from your endpoints and the tools your team already uses, and keeps it current every time your API changes.
- [Getting Started](https://www.restless.ai/getting-started.md): Onboarding is the most important part of your developer experience. Restless makes it easy for your developers to get their agent set up and ready to build.
- [Agentic docs](https://www.restless.ai/agentic-docs.md): Restless isn't just agent-friendly docs. It's the only documentation platform built AI-first. There's a UI for humans, but the docs are shaped to make agents successful.
- [Workbench](https://www.restless.ai/workbench.md): The Workbench sits at the bottom of your docs and gives developers a view into everything that's happening: view and filter logs, see what went wrong, and fix issues.
- [Agent recovery](https://www.restless.ai/agent-recovery.md): When an agent hits an error on your API, it usually gives up and you never hear about it. Restless catches the failed call and tells the agent how to fix its request and retry.
- [Human support](https://www.restless.ai/human-support.md): When a developer hits something AI can't fix, a human can step in and answer the question. Every answer becomes part of the context, and makes the next question easier!
- [API Logs](https://www.restless.ai/logs.md): Your API is now how your users use your product. Restless brings every request into one place, so you can see which endpoints get hit, which calls fail, and where people give up.
- [AI Traffic](https://www.restless.ai/ai-traffic.md): Your API and docs get a lot of AI traffic now, and most of it is invisible. Restless shows you what AI is actually looking for, broken down by who is asking.
- [Self-updating docs](https://www.restless.ai/self-updating-docs.md): Restless reads resolved support conversations, pulls out the part that applies to everyone, and drops it in an inbox to review. Approve it and it becomes context the next person finds on their own.
- [Solicit feedback](https://www.restless.ai/solicit-feedback.md): When an agent hits something confusing in your API, it usually just gives up. Restless adds a send_feedback tool to your MCP server, so the agent can tell you what tripped it up.
- [Sign up](https://app.restless.ai/signup)
