Executive Copilot
Aggregates data from email, calendar, tasks, and documents to enable intelligent assistance for AI assistants.
README
Executive Copilot
An MCP (Model Context Protocol) server that provides AI assistants with access to an executive's digital workspace. Aggregates data from email, calendar, tasks, and documents to enable intelligent assistance.
Features
- MCP Interface: Works with Claude Desktop, ChatGPT, Cursor, and any MCP-compatible client
- Multi-Provider Architecture: Pluggable providers for Outlook, Gmail, Google Calendar, Asana, and more
- Context Engine: Intelligently determines which information sources to consult
- Memory Layer: Persistent knowledge base for organizations, people, and decisions
- Automation Engine: Scheduled jobs for synchronization and briefings
Quick Start
Prerequisites
- Python 3.12+
- uv (Python package manager)
Installation
# Clone the repository
git clone https://github.com/gppsys/personalcopilot.git
cd personalcopilot
# Install dependencies
uv sync
# Copy and configure your settings
cp config/organizations.example.yaml config/organizations.yaml
# Edit config/organizations.yaml with your accounts
# Initialize database
uv run copilot db init
# Run MCP server
uv run copilot mcp
Connect to Claude Desktop
Add to your Claude Desktop configuration:
{
"mcpServers": {
"executive-copilot": {
"command": "uv",
"args": ["--directory", "/path/to/personalcopilot", "run", "copilot-mcp"]
}
}
}
Architecture
┌─────────────────────────────────────────────────────────────────┐
│ MCP Layer │
│ (FastMCP server with tool definitions) │
├─────────────────────────────────────────────────────────────────┤
│ Service Layer │
│ (EmailService, CalendarService, ContextService, etc.) │
├─────────────────────────────────────────────────────────────────┤
│ Domain Layer │
│ (Models, Business Rules, Value Objects) │
├─────────────────────────────────────────────────────────────────┤
│ Infrastructure Layer │
│ (Providers, Repositories, Database, Config) │
└─────────────────────────────────────────────────────────────────┘
Available MCP Tools
| Tool | Description |
|---|---|
get_inbox |
Get recent inbox emails |
search_emails |
Search emails with query |
today_schedule |
Get today's calendar events |
upcoming_events |
Get upcoming events |
my_tasks |
Get assigned tasks |
overdue_tasks |
Get overdue tasks |
daily_summary |
Combined daily briefing |
organization_context |
Get organization information |
search_everything |
Unified search across sources |
recall_memory |
Search knowledge base |
Configuration
Configuration is managed through YAML files in the config/ directory:
config.yaml- Base configurationorganizations.yaml- Organization definitions (create from.example.yaml)context_rules.yaml- Context engine rulesautomation.yaml- Scheduled job configuration
See Configuration Guide for details.
Development
# Install dev dependencies
uv sync --dev
# Run tests
uv run pytest
# Run linter
uv run ruff check .
# Type checking
uv run mypy src
See Development Guide for detailed instructions.
Documentation
License
MIT
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.