Python MCP Server Template

Created By
FidelusAleksandera year ago
A template repository for Python MCP Servers
Overview

What is Python MCP Server Template?

Python MCP Server Template is a minimal template designed for creating a Model Context Protocol (MCP) server using the Python SDK. It provides a foundational structure for developers to build and deploy their own MCP servers.

How to use Python MCP Server Template?

To use this template, create a new repository using the provided template link, set up your Python environment, and run the server using Visual Studio Code or directly through the command line.

Key features of Python MCP Server Template?

  • Minimal setup for creating MCP servers
  • Compatibility with Python 3.13+
  • Pre-configured settings for Visual Studio Code
  • Easy testing and debugging with MCP Inspector

Use cases of Python MCP Server Template?

  1. Developing custom MCP servers for AI applications.
  2. Testing and debugging server functionalities in a local environment.
  3. Learning and experimenting with the Model Context Protocol.

FAQ from Python MCP Server Template?

  • What is the Model Context Protocol (MCP)?

MCP is a protocol designed to facilitate the interaction between models and applications in a standardized way.

  • Is there a specific Python version required?

Yes, Python 3.13 or higher is required to run this template.

  • Can I use this template for production servers?

Yes, this template can be customized and extended for production use.

Project Info
Created At
a year ago
Updated At
a year ago
Author Name
FidelusAleksander
Star
0
Language
Python
License
MIT license
Tags

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