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MCP Everything

Note: This project was extracted from https://github.com/modelcontextprotocol/servers/tree/main/src/everything to create a standalone implementation.

This MCP server attempts to exercise all the features of the MCP protocol. It is not intended to be a useful server, but rather a test server for builders of MCP clients. It implements prompts, tools, resources, sampling, and more to showcase MCP capabilities.

Installation

Local Installation

# Clone the repository git clone https://github.com/modelcontextprotocol/mcp-everything.git cd mcp-everything # Install dependencies npm install # Build the project npm run build # Start the server npm start

Global Installation

# Install globally from npm npm install -g mcp-everything # Run the server mcp-everything

Docker

# Build the Docker image docker build -t mcp-everything . # Run the container docker run -it mcp-everything

Related MCP server: MCP Test Server

Usage with Claude Desktop

Add to your claude_desktop_config.json:

{ "mcpServers": { "everything": { "command": "npx", "args": [ "-y", "mcp-everything" ] } } }

Components

Tools

  1. echo

    • Simple tool to echo back input messages

    • Input:

      • message (string): Message to echo back

    • Returns: Text content with echoed message

  2. add

    • Adds two numbers together

    • Inputs:

      • a (number): First number

      • b (number): Second number

    • Returns: Text result of the addition

  3. longRunningOperation

    • Demonstrates progress notifications for long operations

    • Inputs:

      • duration (number, default: 10): Duration in seconds

      • steps (number, default: 5): Number of progress steps

    • Returns: Completion message with duration and steps

    • Sends progress notifications during execution

  4. sampleLLM

    • Demonstrates LLM sampling capability using MCP sampling feature

    • Inputs:

      • prompt (string): The prompt to send to the LLM

      • maxTokens (number, default: 100): Maximum tokens to generate

    • Returns: Generated LLM response

  5. getTinyImage

    • Returns a small test image

    • No inputs required

    • Returns: Base64 encoded PNG image data

  6. printEnv

    • Prints all environment variables

    • Useful for debugging MCP server configuration

    • No inputs required

    • Returns: JSON string of all environment variables

  7. annotatedMessage

    • Demonstrates how annotations can be used to provide metadata about content

    • Inputs:

      • messageType (enum: "error" | "success" | "debug"): Type of message to demonstrate different annotation patterns

      • includeImage (boolean, default: false): Whether to include an example image

    • Returns: Content with varying annotations

Resources

The server provides 100 test resources in two formats:

  • Even numbered resources:

    • Plaintext format

    • URI pattern: test://static/resource/{even_number}

    • Content: Simple text description

  • Odd numbered resources:

    • Binary blob format

    • URI pattern: test://static/resource/{odd_number}

    • Content: Base64 encoded binary data

Resource features:

  • Supports pagination (10 items per page)

  • Allows subscribing to resource updates

  • Demonstrates resource templates

  • Auto-updates subscribed resources every 5 seconds

Prompts

  1. simple_prompt

    • Basic prompt without arguments

    • Returns: Single message exchange

  2. complex_prompt

    • Advanced prompt demonstrating argument handling

    • Required arguments:

      • temperature (number): Temperature setting

    • Optional arguments:

      • style (string): Output style preference

    • Returns: Multi-turn conversation with images

Logging

The server sends random-leveled log messages every 15 seconds to demonstrate the logging capabilities of MCP.

-
security - not tested
A
license - permissive license
-
quality - not tested

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