Medical_calculator_MCP

Created By
johnyquest7a year ago
MCP server for medical calculations
Overview

what is Medical_calculator_MCP?

Medical_calculator_MCP is a server designed for performing medical calculations, providing a reliable tool for healthcare professionals and researchers.

how to use Medical_calculator_MCP?

To use Medical_calculator_MCP, first install it in your Python project using either uv or pip. Then, you can run the server and interact with it through the command line.

key features of Medical_calculator_MCP?

  • Easy integration with Python projects using uv or pip
  • Standalone server for medical calculations
  • Interactive command line interface for testing and development

use cases of Medical_calculator_MCP?

  1. Performing dosage calculations for medications
  2. Calculating body mass index (BMI) and other health metrics
  3. Assisting in clinical decision-making through accurate calculations

FAQ from Medical_calculator_MCP?

  • What programming language is Medical_calculator_MCP written in?

Medical_calculator_MCP is written in Python.

  • Is there a graphical user interface for Medical_calculator_MCP?

Currently, it operates through a command line interface.

  • Can I contribute to the Medical_calculator_MCP project?

Yes! Contributions are welcome on the project's GitHub page.

Project Info
Created At
a year ago
Updated At
a year ago
Author Name
johnyquest7
Star
0
Language
Python
License
MIT 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