# Aie Mcp

> MCP remote server for AI Engineer World's Fair 2025

- **Type:** MCP server
- **Install:** `agentstack add mcp-aidotengineer-aie-mcp`
- **Verified:** Pending review
- **Seller:** [aiDotEngineer](https://agentstack.voostack.com/s/aidotengineer)
- **Installs:** 0
- **Category:** [Integrations](https://agentstack.voostack.com/c/integrations)
- **Latest version:** 0.1.0
- **License:** MIT
- **Upstream author:** [aiDotEngineer](https://github.com/aiDotEngineer)
- **Source:** https://github.com/aiDotEngineer/aie-mcp
- **Website:** https://ai-engineer-wf-2025.swyx-5de.workers.dev/sse

## Install

```sh
agentstack add mcp-aidotengineer-aie-mcp
```

Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent.

## About

# AI Engineer MCP 2025

This project hosts the AI Engineer Conference 2025 talk submission system and MCP server.

Thanks to @threepointone for help setting this up with Cloudflare! 

## add this to your MCP Client

`https://ai-engineer-wf-2025.swyx-5de.workers.dev/sse`

```json
// for example .cursor/mcp.json
{
  "mcpServers": {
    "AIECONF": {
      "url": "https://ai-engineer-wf-2025.swyx-5de.workers.dev/sse"
    }
  }
}
```

and then try "tell me about the conference" in your chat app that will then call the MCP server.

## Project Structure

The project is built as a Cloudflare Worker with the following key components:
- MCP server implementation in `src/index.ts`
- Application logic in `src/app.ts`
- Utility functions in `src/utils.ts`
- Static assets in `static/` directory

## Develop locally

```bash
# clone the repository
git clone git@github.com:cloudflare/ai.git

# install dependencies
cd ai
npm install

# run locally
npx wrangler dev
```

You should be able to open [`http://localhost:8787/`](http://localhost:8787/) in your browser

## Connect the MCP inspector to your server

To explore your new MCP api, you can use the [MCP Inspector](https://modelcontextprotocol.io/docs/tools/inspector).

- Start it with `npx @modelcontextprotocol/inspector`
- [Within the inspector](http://localhost:5173), switch the Transport Type to `SSE` and enter `http://localhost:8787/sse` as the URL of the MCP server to connect to, and click "Connect"
- You will navigate to a (mock) user/password login screen. Input any email and pass to login.
- You should be redirected back to the MCP Inspector and you can now list and call any defined tools!

  

  

## Connect Claude Desktop to your local MCP server

The MCP inspector is great, but we really want to connect this to Claude! Follow [Anthropic's Quickstart](https://modelcontextprotocol.io/quickstart/user) and within Claude Desktop go to Settings > Developer > Edit Config to find your configuration file.

Open the file in your text editor and replace it with this configuration:

```json
{
  "mcpServers": {
    "math": {
      "command": "npx",
      "args": [
        "mcp-remote",
        "http://localhost:8787/sse"
      ]
    }
  }
}
```

This will run a local proxy and let Claude talk to your MCP server over HTTP

When you open Claude a browser window should open and allow you to login. You should see the tools available in the bottom right. Given the right prompt Claude should ask to call the tool.

  

  

## Deploy to Cloudflare

1. Make sure you have the following KV namespaces created:
   - `OAUTH_KV` for authentication
   - `AIEWFSUBMISSIONS` for talk submissions
2. Ensure your secrets store is configured with the `SECRETKEY`
3. Deploy using:
   ```bash
   npm run deploy
   ```

## Call your newly deployed remote MCP server from a remote MCP client

Just like you did above in "Develop locally", run the MCP inspector:

`npx @modelcontextprotocol/inspector@latest`

Then enter the `workers.dev` URL (ex: `worker-name.account-name.workers.dev/sse`) of your Worker in the inspector as the URL of the MCP server to connect to, and click "Connect".

You've now connected to your MCP server from a remote MCP client.

## Connect Claude Desktop to your remote MCP server

Update the Claude configuration file to point to your `workers.dev` URL (ex: `worker-name.account-name.workers.dev/sse`) and restart Claude 

```json
{
  "mcpServers": {
    "math": {
      "command": "npx",
      "args": [
        "mcp-remote",
        "https://worker-name.account-name.workers.dev/sse"
      ]
    }
  }
}
```

## Debugging

Should anything go wrong it can be helpful to restart Claude, or to try connecting directly to your
MCP server on the command line with the following command.

```bash
npx mcp-remote http://localhost:8787/sse
```

In some rare cases it may help to clear the files added to `~/.mcp-auth`

```bash
rm -rf ~/.mcp-auth
```

## Source & license

This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.

- **Author:** [aiDotEngineer](https://github.com/aiDotEngineer)
- **Source:** [aiDotEngineer/aie-mcp](https://github.com/aiDotEngineer/aie-mcp)
- **License:** MIT
- **Homepage:** https://ai-engineer-wf-2025.swyx-5de.workers.dev/sse

Install and usage instructions live in the source repository linked above.

## Pricing

- **Free** — Free

## Security capabilities

Automated source analysis of v0.1.0 — what this tool can access:

- **Network access:** no
- **Filesystem access:** no
- **Shell / process execution:** no
- **Environment & secrets:** no
- **Dynamic code execution:** no

*"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.*


## Versions

- **0.1.0** — security scan: flagged — Imported from the upstream source.

## Links

- Listing page: https://agentstack.voostack.com/l/mcp-aidotengineer-aie-mcp
- Seller: https://agentstack.voostack.com/s/aidotengineer
- Browse the marketplace: https://agentstack.voostack.com/browse

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Listed on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Creators keep 70%.