Everything MCP Server

Everything MCP Server

A test MCP server implementing all protocol features including tools, resources, prompts, and sampling to help developers build and test MCP clients.

Category
Visit Server

README

Everything MCP Server

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.

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:
      • Error messages: High priority (1.0), visible to both user and assistant
      • Success messages: Medium priority (0.7), user-focused
      • Debug messages: Low priority (0.3), assistant-focused
      • Optional image: Medium priority (0.5), user-focused
    • Example annotations:
      {
        "priority": 1.0,
        "audience": ["user", "assistant"]
      }
      
  8. getResourceReference

    • Returns a resource reference that can be used by MCP clients
    • Inputs:
      • resourceId (number, 1-100): ID of the resource to reference
    • Returns: A resource reference with:
      • Text introduction
      • Embedded resource with type: "resource"
      • Text instruction for using the resource URI

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
  3. resource_prompt

    • Demonstrates embedding resource references in prompts
    • Required arguments:
      • resourceId (number): ID of the resource to embed (1-100)
    • Returns: Multi-turn conversation with an embedded resource reference
    • Shows how to include resources directly in prompt messages

Logging

The server sends random-leveled log messages every 15 seconds, e.g.:

{
  "method": "notifications/message",
  "params": {
	"level": "info",
	"data": "Info-level message"
  }
}

Usage with Claude Desktop (uses stdio Transport)

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "everything": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-everything"
      ]
    }
  }
}

Usage with VS Code

For quick installation, use of of the one-click install buttons below...

Install with NPX in VS Code Install with NPX in VS Code Insiders

Install with Docker in VS Code Install with Docker in VS Code Insiders

For manual installation, add the following JSON block to your User Settings (JSON) file in VS Code. You can do this by pressing Ctrl + Shift + P and typing Preferences: Open User Settings (JSON).

Optionally, you can add it to a file called .vscode/mcp.json in your workspace. This will allow you to share the configuration with others.

Note that the mcp key is not needed in the .vscode/mcp.json file.

NPX

{
  "mcp": {
    "servers": {
      "everything": {
        "command": "npx",
        "args": ["-y", "@modelcontextprotocol/server-everything"]
      }
    }
  }
}

Running from source with HTTP+SSE Transport (deprecated as of 2025-03-26)

cd src/everything
npm install
npm run start:sse

Run from source with Streamable HTTP Transport

cd src/everything
npm install
npm run start:streamableHttp

Running as an installed package

Install

npm install -g @modelcontextprotocol/server-everything@latest

Run the default (stdio) server

npx @modelcontextprotocol/server-everything

Or specify stdio explicitly

npx @modelcontextprotocol/server-everything stdio

Run the SSE server

npx @modelcontextprotocol/server-everything sse

Run the streamable HTTP server

npx @modelcontextprotocol/server-everything streamableHttp

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured