@G1Joshi
Basic information
Model Context Protocol (MCP) Dart
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
RepositoryTool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
DartMCP is a Dart implementation of the Model Context Protocol (MCP) for AI agent interactions, providing both server and client components for building interoperable AI/LLM tools and services. It is designed for developers who want to integrate Dart applications with MCP-compatible AI agents.
Add the dart_mcp package (version ^0.3.3) to your pubspec.yaml, run dart pub get, then implement a server using the Server class from lib/src/server.dart or a client using the Client class from lib/src/client.dart. Run the server with dart run path/to/your_server.dart or use the client example in example/dartmcp_example.dart.
DartMCP is a Dart-specific implementation of the Model Context Protocol, providing both server and client components. It is built for Dart environments and works on any platform supported by Dart, unlike implementations in other languages.
DartMCP requires Dart SDK 3.9.2 or higher. It runs on macOS, Linux, and Windows.
The README does not specify data storage details. Data handling depends on the server and client implementations you build.
DartMCP communicates over standard I/O or custom channels. It does not specify a default transport; the protocol is implemented over the chosen channel.
The README does not mention authentication mechanisms. This is likely handled at the application level.
A one-of-a-kind resume builder that keeps your privacy in mind. Completely secure, customizable, portable, open-source and free forever. Try it out today!
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable,
Connect your AI assistant to your own YOUB endurance training account. Read recorded activities with full analysis, planned sessions, race goals, wellness (HRV, sleep, resting HR) and your athletic profile. Create or mov
Model Context Protocol Servers
Handl speaks the Model Context Protocol. Your whole billing operation — projects, invoices, clients, reports, approvals — as tools any AI assistant can call, inside your autonomy rules.
Comments