What authentication methods does Sunsama support?
Stdio transport requires `SUNSAMA_EMAIL` and `SUNSAMA_PASSWORD` environment variables. HTTP transport passes credentials in the HTTP request instead; no environment variables needed.
@robertn702
A comprehensive Model Context Protocol (MCP) server that integrates Sunsama's daily planning and task management capabilities into AI assistants. Provides full CRUD operations for tasks, enabling automated workflow management and productivity optimization through the Sunsama API.
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"sunsama": {
"command": "npx",
"args": [
"mcp-sunsama"
],
"env": {
"SUNSAMA_EMAIL": "<YOUR_EMAIL>",
"SUNSAMA_PASSWORD": "<YOUR_PASSWORD>"
}
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。
A Model Context Protocol (MCP) server that provides comprehensive task management capabilities through the Sunsama API. It enables AI assistants to access Sunsama tasks, create new tasks, mark tasks complete, and manage your productivity workflow.
Install with npx (recommended): npx mcp-sunsama. For development, clone the repository, install dependencies with Bun, set environment variables (SUNSAMA_EMAIL, SUNSAMA_PASSWORD, optionally SUNSAMA_SESSION_TOKEN, PORT, MCP_TRANSPORT), then run bun run src/main.ts. Configure with Claude Desktop by adding a sunsama entry in mcpServers with the npx command and credentials.
Stdio transport requires `SUNSAMA_EMAIL` and `SUNSAMA_PASSWORD` environment variables. HTTP transport passes credentials in the HTTP request instead; no environment variables needed.
Bun runtime is required for development. For production use via npx, no local installation is needed.
It supports stdio (default) and HTTP stream MCP transports, set via the `MCP_TRANSPORT` environment variable.
The Sunsama MCP server uses the [sunsama-api library](https://github.com/robertn702/sunsama-api).
Agentic SWMM is an automated, auditable, and memory-informed framework for reproducible stormwater modelling, integrating QGIS and EPA SWMM through the aiswmm runtime, reusable Skills, and MCP interfaces, with QA verification, provenance tracking, calibration support, and Codex,
This project demonstrates a decoupled real-time agent architecture that connects LangGraph agents to remote tools served by custom MCP (Modular Command Protocol) servers. The architecture enables a flexible and scalable multi-agent system where each tool can be hosted independent
Turn any JavaScript module into a sandboxed MCP (Model Context Protocol) server with automatic reflection and type inference.
Multi-Agent AI Orchestration Workshop
This a simple implementation of an MCP server using iFlytek. It enables calling iFlytek workflows through MCP tools.
コメント