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.
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"sunsama": {
"command": "npx",
"args": [
"mcp-sunsama"
],
"env": {
"SUNSAMA_EMAIL": "<YOUR_EMAIL>",
"SUNSAMA_PASSWORD": "<YOUR_PASSWORD>"
}
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。
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).
An MCP server allowing AI assistants to use a Neo4j knowledge graph as their primary, dynamic instruction manual and long term project memory with adaptive templating and autonomous tool development tools.
ArduPilotドローンをAIエージェントから操作するMCPサーバーです。
This a simple implementation of an MCP server using iFlytek. It enables calling iFlytek workflows through MCP tools.
Quarkus LangChain4J Workshop that demonstrates both single AI service capabilities and Agentic AI orchestration
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
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