semvec/pypi-packages huggingface dataset:
ttmoc 0.1.9
Talk-To-My-Org-Chart: CLI MCP server for org chart queries.
Requires Python: >=3.8

# Talk to My Org Chart - MCP Server

This is the MCP (Model Context Protocol) server for the "Talk to My Org Chart" service. It allows AI assistants to query organizational data through a set of standardized tools.

## Overview

The MCP server provides a set of tools for querying organizational data, including:
- Looking up employees by name or alias
- Finding direct and indirect reports
- Searching for employees by various criteria
- Getting organizational metrics

## Setup

### Prerequisites

- Python 3.9+
- Azure AD tenant (for authentication)
- Access to an organizational data source

### Installation

```bash
pip install ttmoc
```

With environment variables:
- `WHO_NEXT_API_URL`: The URL of your API server (e.g., http://localhost:8000)
- `AAD_TENANT_ID`: Your Azure Active Directory tenant ID

## Available Tools (API Functions)

Once the server is running, it exposes several tools for querying org chart data:

- **lookup_employee_by_name_or_alias**: Look up employees by display name or alias.
- **lookup_direct_reports**: Get direct reports for a manager.
- **find_all_reports_by_alias**: Get all reports (direct and indirect) for a manager, with optional filtering. Note this will usually return a lot of results, so it's recommended to use limit to limit the number of results.
- **find_employees**: Find employees across the entire organization by criteria (name, title, cost center, etc.). Note this will usually return a lot of results, so it's recommended to use limit to limit the number of results.
- **get_span_of_control_by_alias**: Get span of control metrics for a manager. Span of control describes on average how many employees a manager has in the organization.
- **get_org_depth_by_alias**: Get organizational depth metrics for an employee.
- **count_all_reports_by_alias**: Count all reports (direct and indirect) for a manager, with optional filtering.
- **count_employees**: Count employees by criteria across the entire organization.

## Usage Examples

### Looking up an Employee

```python
result = await lookup_employee_by_name_or_alias(name_or_alias="John Doe")
```

### Finding Direct Reports

```python
reports = await lookup_direct_reports(alias="johndoe", limit=20)
```

### Finding All Reports with Filtering

```python
all_reports = await find_all_reports_by_alias(
    alias="johndoe",
    title="Software Engineer",
    limit=100
)
```

### Counting Employees by Criteria

```python
count = await count_employees(
    title="Product Manager",
    is_manager=True
)
```

### Getting Organizational Metrics

```python
span = await get_span_of_control_by_alias(alias="johndoe")
depth = await get_org_depth_by_alias(alias="johndoe")