Chronova MCP Server
MCP server that exposes Chronova developer productivity data to AI agents. Built on the Model Context Protocol, it lets tools like Claude Desktop, Cursor, and OpenCode query your coding stats, activity, and AI-assisted coding metrics.
README
Chronova MCP Server
MCP server that exposes Chronova developer productivity data to AI agents. Built on the Model Context Protocol, it lets tools like Claude Desktop, Cursor, and OpenCode query your coding stats, activity, and AI-assisted coding metrics.
Installation
# Run directly (stdio transport for MCP clients)
npx -y @chronova/mcp-server
# Or install globally
npm install -g @chronova/mcp-server
chronova-mcp-server
Configuration
The server resolves your API key from multiple sources in priority order:
- Environment variable
CHRONOVA_API_KEY - Config file
~/.chronova.cfg—api_keyunder[settings] - Config file
~/.wakatime.cfg—api_keyunder[settings](WakaTime-compatible) - Default: empty (requests will fail with 401)
Similarly, api_url is resolved from CHRONOVA_API_URL env var, then the config file's api_url key, then the default https://chronova.dev.
Config files use INI format:
[settings]
api_key = waka_your-api-key-here
api_url = https://chronova.dev/api/v1
| Variable | Required | Default | Description |
|---|---|---|---|
CHRONOVA_API_KEY |
Yes* | — | Your Chronova API key (*or set in config file) |
CHRONOVA_API_URL |
No | https://chronova.dev/api/v1 |
Chronova API base URL |
PORT |
No | 3001 |
Server listen port |
CLI flags override env vars: --port 3001, --api-url https://chronova.dev, --help.
Usage with AI Clients
Claude Desktop
Add to claude_desktop_config.json:
{
"mcpServers": {
"chronova": {
"command": "npx",
"args": ["-y", "@chronova/mcp-server"],
"env": {
"CHRONOVA_API_KEY": "your-api-key"
}
}
}
}
Cursor
Add to .cursor/mcp.json:
{
"mcpServers": {
"chronova": {
"command": "npx",
"args": ["-y", "@chronova/mcp-server"],
"env": {
"CHRONOVA_API_KEY": "your-api-key"
}
}
}
}
OpenCode
Add to opencode.json under mcp:
{
"mcp": {
"chronova": {
"type": "local",
"command": ["npx", "-y", "@chronova/mcp-server"],
"enabled": true,
"env": {
"CHRONOVA_API_KEY": "your-api-key"
}
}
}
}
Tools
| Tool | Description | Parameters |
|---|---|---|
get_developer_context |
Get user profile, subscription, GitHub status, org memberships | None |
get_productivity_summary |
Aggregated coding stats by time range | range (required), project (optional) |
get_ai_insights |
AI vs manual coding analytics | range (required) |
get_recent_activity |
Recent coding heartbeats with filters and pagination | date, start, end, project, language, editor, page, per_page (all optional) |
Named ranges: today, last_7_days, last_30_days, last_3_months, last_6_months, last_year, all_time. Custom: YYYY-MM-DD_to_YYYY-MM-DD.
Development
npm run dev # Watch mode
npm test # Run tests
npm run build # Compile TypeScript
npm run type-check # Type check only
Docker
docker build -t chronova-mcp .
docker run -e CHRONOVA_API_KEY=your-key -p 3001:3001 chronova-mcp
License
Proprietary
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.