Simple MCP Server Example

Created By
danperignona year ago
A simple example of an MCP server implementation for testing purposes
Overview

What is Simple MCP Server Example?

The Simple MCP Server Example is a basic implementation of a Model Context Protocol (MCP) server designed for testing and educational purposes. It allows AI assistants to interact with external tools and services through a standardized protocol.

How to use Simple MCP Server Example?

To use this server, clone the repository, install the dependencies using npm install, and start the server with npm start. Configure your AI client to connect to this MCP server by adding the appropriate settings in its configuration file.

Key features of Simple MCP Server Example?

  • Basic implementation of the Model Context Protocol (MCP)
  • Example tools like hello_world, echo_text, and get_current_date
  • Easy setup and configuration for AI clients

Use cases of Simple MCP Server Example?

  1. Testing AI client interactions with an MCP server.
  2. Learning how to implement and configure an MCP server.
  3. Developing and testing new tools that can be integrated with AI assistants.

FAQ from Simple MCP Server Example?

  • What is the Model Context Protocol (MCP)?

MCP is a standardized way for AI assistants to interact with external tools and services.

  • How do I configure my AI client to use this server?

You need to add the server details to your MCP configuration in your AI client settings.

  • Is this server suitable for production use?

This example is primarily for testing and learning; it may require further development for production use.

Project Info
Created At
a year ago
Updated At
a year ago
Author Name
danperignon
Star
0
Language
JavaScript
License
-

Recommend Servers

View All
Bring your real authenticated browser session to AI coding agents. Local-first MCP server + Chrome MV3 extension. No cloud. No telemetry.
@Cubenest

peek records the user's actual logged-in browser (DOM via rrweb, console events, network metadata, optional response bodies via opt-in Deep capture) through a Chrome MV3 extension. The extension ships events through a native-messaging stdio bridge to a local MCP server (peek-mcp), which persists them to a SQLite database at ~/.peek/sessions.db. AI coding agents (Claude Code, Cursor, Cline, Windsurf) read sessions from the database via 10 MCP tools: Tool What it does list_recent_sessions List recently recorded sessions (id, origin, ts, event count). get_session_summary LLM-readable narrative summary of a session. get_session_console_errors Console errors recorded in a session. get_session_network_errors Failed/notable network requests in a session. get_user_action_before_error Last N user actions before a console error. generate_playwright_repro Generate a runnable Playwright test from a session. get_dom_snapshot Reconstruct the DOM at a given timestamp. query_dom_history Timeline of attribute/text changes for a selector. request_authorization Side-panel consent for write actions (Level 3). execute_action Dispatch a UI action (gated by permission level + destructive blocklist). Why local-first matters Every other "browser session for AI" tool ships to a vendor cloud. peek's SQLite + extension live on the user's machine — no remote endpoints, no telemetry. The privacy policy (docs/peek/PRIVACY_POLICY.md) is the source of truth. Install # 1. Add the MCP server to Claude Code claude mcp add peek -- npx -y @peekdev/mcp # 2. Install the Chrome extension from the Chrome Web Store # (link added once the CWS listing is approved)

a day ago