Metadata-Version: 2.4
Name: chronulus-mcp
Version: 0.0.1
Summary: An MCP Server for Chronulus AI Forecasting and Prediction Agents
Author-email: Chronulus AI <jeremy@chronulus.com>
License-File: LICENSE
Keywords: agents,forecasting,llm,mcp,prediction,timeseries
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Requires-Python: >=3.10
Requires-Dist: chronulus-core>=0.0.15
Requires-Dist: chronulus>=0.0.10
Requires-Dist: mcp[cli]>=1.3.0
Requires-Dist: pandas
Requires-Dist: requests
Description-Content-Type: text/markdown

<div align="center">
<img width="150px" src="https://www.chronulus.com/brand-assets/chronulus-logo-blue-on-alpha-square.png" alt="Chronulus AI">
    <h1 align="center">MCP Server for Chronulus</h1>
    <h3 align="center">Chat with Chronulus AI Forecasting & Prediction Agents in Claude</h3>
</div>




### Quickstart: Claude for Desktop

#### Install 

Claude for Desktop is currently available on macOS and Windows.

Install Claude for Desktop [here](https://claude.ai/download)

#### Configuration

Follow the general instructions [here](https://modelcontextprotocol.io/quickstart/user) to configure the Claude desktop client.

You can find your Claude config at one of the following locations:

- macOS: `~/Library/Application Support/Claude/claude_desktop_config.json`
- Windows: `%APPDATA%\Claude\claude_desktop_config.json`

Then choose one of the following methods that best suits your needs and add it to your `claude_desktop_config.json`

<details>
<summary>Using pip</summary>

(Option 1) Install release from PyPI
```bash 
pip install chronulus-mcp
```


(Option 2) Install from Github
```bash 
git clone https://github.com/ChronulusAI/chronulus-mcp.git
cd chronulus-mcp
pip install .
```



```json 
{
  "mcpServers": {
    "chronulus-agents": {
      "command": "python",
      "args": ["-m", "chronulus_mcp"],
      "env": {
        "CHRONULUS_API_KEY": "<YOUR_CHRONULUS_API_KEY>"
      }
    }
  }
}
```
</details>


<details>
<summary>Using docker</summary>

Here we will build a docker image called 'chronulus-mcp' that we can reuse in our Claude config.

```bash 
git clone https://github.com/ChronulusAI/chronulus-mcp.git
cd chronulus-mcp
 docker build . -t 'chronulus-mcp'
```

In your Claude config, be sure that the final argument matches the name you give to the docker image in the build command.

```json 
{
  "mcpServers": {
    "chronulus-agents": {
      "command": "docker",
      "args": ["run", "-i", "--rm", "-e", "CHRONULUS_API_KEY", "chronulus-mcp"],
      "env": {
        "CHRONULUS_API_KEY": "<YOUR_CHRONULUS_API_KEY>"
      }
    }
  }
}
```

</details>

<details>
<summary>Using uvx</summary>

`uvx` will pull the latest version of `chronulus-mcp` from the PyPI registry, install it, and then run it.

```json 
{
  "mcpServers": {
    "chronulus-agents": {
      "command": "uvx",
      "args": ["chronulus-mcp"],
      "env": {
        "CHRONULUS_API_KEY": "<YOUR_CHRONULUS_API_KEY>"
      }
    }
  }
}
```

</details>