Deploy and use a Cloudflare-based MCP time server for timezone-aware time retrieval and conversion
The MCP Time Server on Cloudflare is a remote, model-agnostic server designed to provide core functionalities for time-related operations without the need for authentication. This server leverages the Model Context Protocol (MCP) and integrates seamlessly with various AI applications, enabling them to perform essential tasks such as retrieving current times from different geographical locations or converting times between zones.
The primary features of this MCP Time Server include:
These tools are powered by the Model Context Protocol (MCP), which acts as a standardized interface for different AI applications to interact with external data sources and services. By adhering to MCP's specifications, the server ensures compatibility across various clients and simplifies integration processes.
graph TD
A[AI Application] -->|MCP Client| B[MCP Protocol]
B --> C[MCP Server]
C --> D[Data Source/Tool]
style A fill:#e1f5fe
style C fill:#f3e5f5
style D fill:#e8f5e8
graph TD;
A[Time Data Repository] --> B[MCP Protocol]
B --> C[AI Application]
C --> D[User Query/Request]
D -- "Parsed & Processed" --> E[Time Response]
E --> F[Cached Time Responses]
The time data is stored in a secure repository, and the server processes requests from AI applications through MCP. The data architecture diagram illustrates this flow, highlighting how user queries are parsed, processed, and transformed into meaningful responses.
To get started using the MCP Time Server on Cloudflare, developers can:
npm create cloudflare@latest -- my-mcp-server --template=cloudflare/ai/demos/remote-mcp-authless
The MCP Time Server significantly enhances several common workflows, including:
These use cases demonstrate how the server can simplify complex tasks through standardized interactions with other services and clients.
MCP Client | Resources | Tools | Prompts | Status |
---|---|---|---|---|
Claude Desktop | ✅ | ✅ | ✅ | Full Support |
Continue | ✅ | ✅ | ✅ | Full Support |
Cursor | ❌ | ✅ | ❌ | Tools Only |
The MCP Time Server is compatible with key AI clients like Claude Desktop and Continue, providing access to essential time-related tools. However, at present, Cursor only supports tool integration.
To connect your remote MCP server from Claude Desktop, you need to update the configuration file:
{
"mcpServers": {
"time": {
"command": "npx",
"args": [
"mcp-remote",
"http://localhost:8787/sse" // or mcp-time-server.your-account.workers.dev/sse
]
}
}
}
For a full implementation, restart Claude to see the time tools become available.
The server is optimized for performance and compatibility with multiple MCP clients. The current version supports both cloud-based deployment on Cloudflare Workers as well as local setup via npm. This flexibility ensures that developers can choose the deployment method best suited to their needs.
To ensure robust security, users should:
API_KEY
.The server is currently fully supported by Claude Desktop and Continue, but support for Cursor is limited.
You can use:
npm create cloudflare@latest -- my-mcp-server --template=cloudflare/ai/demos/remote-mcp-authless
Click the "Deploy to Workers" button provided in the README for an even faster deployment.
Yes, you can utilize npm commands to set up and test the server on your local machine.
We're continually expanding our support across different clients; reach out for more information!
Ensure environment variables are properly managed, especially API_KEY
, to prevent unauthorized access.
Contributions are welcome! Developers interested in contributing can:
Stay updated with the latest developments in the Model Context Protocol by visiting the official ModelContextProtocol.io. Explore resources and participate in discussions to enhance your understanding of this innovative protocol.
In conclusion, the MCP Time Server on Cloudflare offers a robust solution for AI applications seeking time-related functionality through MCP. Its seamless integration with key AI clients and comprehensive capabilities make it an invaluable asset for developers looking to streamline their workflows.
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