"Vehicle Trade-In Value Calculator for Canada" matching MCP servers:

A Model Context Protocol server that provides basic calculator functionality for LLMs, enabling them to perform mathematical operations like addition, subtraction, multiplication, division, modulo, and square root.

Generates random integers within a specified range and random alphanumeric strings of specified length through MCP protocol integration.

Enables users to perform mathematical calculations through natural language by integrating an AI model with calculator tools via the Model Context Protocol.

An MCP server that exposes 16 calculator operations as tools, enabling arithmetic, rounding, and root calculations via natural language.

A cloud-deployable math tool server that provides calculator capabilities to local LLM agents via the Model Context Protocol and Server-Sent Events. It allows instructors to host a centralized calculation engine that students can connect to from their local development environments.

A deliberately broken calculator MCP server that always returns double the correct answer, designed as a learning exercise for MCP server implementation.

A Model Context Protocol (MCP) server example with calculator tools, built using FastMCP.

Provides precise decimal arithmetic and Excel-style rounding for accounting and tax calculations via MCP protocol.

An MCP server that integrates the MathJS library to provide AI models with advanced calculation capabilities, including support for complex numbers, matrices, and unit conversions. It supports both stdio and HTTP transports for seamless integration with clients like Claude Desktop and GitHub Copilot.

A simple MCP server that provides basic arithmetic operations like addition, subtraction, multiplication, division, power, and square root.

Enables MCP clients such as Claude Desktop to perform basic arithmetic operations—addition, subtraction, multiplication, division, exponentiation, and square root—through exposed tools.

Enables AI agents to perform arithmetic operations — addition, subtraction, multiplication, and division with divide-by-zero validation — through MCP tool calls. It can be run locally over stdio or as an HTTP microservice via streamable-http transport.

Enables MCP clients and LLMs to perform basic arithmetic operations—addition, subtraction, multiplication, and division—through tool calls, including handling division by zero as an error.

Enables academic research through paper search across multiple databases (IACR, CryptoBib, Crossref, Google Scholar), PDF processing, and GitHub repository browsing. Features modular architecture with FastMCP-based proxy server routing to specialized academic tools.

Enables AI agents to inspect UI screen recordings as token-efficient image sheets with changed regions boxed, single-frame flicker flagged, and speech aligned to frames. Exposes watch_video and zoom_video tools so agents can pull dense keyframes across any time range or one sharp full-resolution frame, all processed locally.

Evaluate, simplify, and differentiate mathematical expressions via MCP. Provides a single tool for arithmetic, algebra, and symbolic differentiation with secure sandboxing.

A simple MCP server that provides calculator tools for basic arithmetic operations with zero-division protection.

Enables any MCP client to drive the user's real Chrome profile through a Chrome extension bridge, with tools for navigation, accessibility snapshots, ref-based interactions, console/network reading, screenshots, tab management, and restricted script evaluation.

Provides basic and advanced mathematical operations including addition, subtraction, multiplication, division, power, square root, and factorial calculations through an SSE-based MCP interface.

A debug tool for platform developers to verify that their MCP App hosts correctly implement protocol specifications like context injection and message sending. It provides a blind selection test to ensure seamless end-to-end communication between the UI, host, and model.

Enables users to describe an LLM fine-tuning job and receive ranked, task-aware GPU recommendations with estimated VRAM/FLOPs, cost, and runtime across more than ten cloud providers.

Enables users to describe an LLM fine-tuning job and receive the cheapest, fastest, or most balanced GPU options across multiple cloud providers by calculating required VRAM and FLOPs.

Enables AI agents to perform arithmetic operations such as addition, subtraction, multiplication, and division through standardized MCP tools.

Enables users to describe an LLM fine-tuning job and receive ranked GPU recommendations across a dozen cloud providers based on estimated VRAM/FLOPs, live pricing, cost, and speed. It returns cheapest, fastest, and balanced hardware options without manual comparison.

Enables users to describe an LLM fine-tuning job once and get ranked GPU hardware recommendations with estimated VRAM/FLOPs, cost, and runtime across a dozen cloud providers.

An advanced calculator MCP server that provides a wide range of mathematical operations over streamable HTTP, enabling users to perform complex calculations via natural language with any MCP client.

It enables users to describe an LLM fine-tuning workload once and automatically estimates required VRAM/FLOPs, compares live GPU pricing across cloud providers, and returns ranked cheapest, fastest, or balanced hardware recommendations.

Enables users to describe an LLM fine-tuning workload and receive ranked, task-aware GPU recommendations by estimating required VRAM/FLOPs and comparing live pricing across a dozen cloud providers.

A simple MCP server that provides basic calculator functionality for performing mathematical operations. Built with FastMCP and demonstrates fundamental MCP server implementation patterns.

Enables users to describe an LLM fine-tuning job once and receive ranked GPU recommendations across many cloud providers based on estimated VRAM/FLOPs, cost, and runtime.