MCP_SERVER

Created By
ani1009a year ago
Overview

what is MCP_SERVER?

MCP_SERVER is a project that sets up a server using the Model Context Protocol (MCP) with a Python SDK, allowing users to create custom AI-generated notes.

how to use MCP_SERVER?

To use MCP_SERVER, follow these steps: 1. Set up a virtual environment. 2. Install the uv tool. 3. Initialize the project with the command 'uv init'. 4. Add the MCP CLI with 'uv add "mcp[cli]"'. 5. Run the installation command 'uv run mcp install main.py'. 6. Open the Claude Desktop App and enter prompts for your custom AI notes.

key features of MCP_SERVER?

  • Easy setup using Python SDK.
  • Custom AI note generation based on user prompts.
  • Integration with Claude Desktop App for enhanced functionality.

use cases of MCP_SERVER?

  1. Generating study notes for various topics.
  2. Creating personalized AI sticky notes for reminders.
  3. Assisting in content creation for educational purposes.

FAQ from MCP_SERVER?

  • What is the purpose of MCP_SERVER?

MCP_SERVER is designed to help users generate AI-driven notes based on their input prompts.

  • Is there a cost associated with using MCP_SERVER?

The project is open-source and free to use.

  • What programming language is used in MCP_SERVER?

MCP_SERVER is built using Python.

Project Info
Created At
a year ago
Updated At
a year ago
Author Name
ani1009
Star
0
Language
Python
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