Used for installing dependencies and running the MCP server, as shown in the README instructions for setup and execution.
MCP Everything Server
A comprehensive reference implementation for the Model Context Protocol (MCP) that demonstrates all features of the protocol. This server showcases the versatility and extensibility of MCP, demonstrating how it can be used to give Large Language Models (LLMs) secure, controlled access to tools and data sources.
This server is built with the TypeScript MCP SDK.
Features
This server implements a comprehensive set of MCP features including:
- Tools: Various tools including echo, add, long-running operations, environment variable printing, LLM sampling, and more
- Prompts: Simple and complex prompts with arguments, resource references, and embedded content
- Resources: Static resources with pagination support, resource templates, and subscriptions
- Logging: Configurable logging levels with real-time notifications
- Completions: Auto-completion for prompt arguments and resource references
- Elicitation: Interactive user input collection with structured schemas
- Annotations: Content annotations for priority and audience targeting
- Progress Tracking: Progress notifications for long-running operations
- Real-time Updates: Resource update notifications and stderr streaming
Installation
Usage
Standard I/O
Server-Sent Events (SSE)
HTTP with Streaming Support
Development
- Clone the repository:
- Install dependencies:
- Build the server:
- Run the server:
Configuration
The server supports various configuration options and can be used to test and demonstrate MCP capabilities. It includes:
- 100 static resources (mix of text and binary)
- Multiple tool implementations
- Various prompt templates
- Real-time notifications and updates
- Progress tracking for long operations
Docker
Build and run with Docker:
License
MIT - See LICENSE file for details.
Contributing
See CONTRIBUTING.md for contribution guidelines.
Tools
A demonstration server that showcases how to collect user input dynamically using the Model Context Protocol (MCP) elicitation system across tools, resources, and prompts.
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