About
A Model Context Protocol server that exposes basic calculator operations (add, sub, mul, div, mod, sqrt) to language models. It allows LLMs to perform arithmetic calculations via a simple API or browser automation.
Capabilities
Calculator MCP – A Browser‑Based Arithmetic Engine for AI Assistants
The Calculator MCP server bridges the gap between large language models (LLMs) and a fully functional calculator running in a headless browser. By exposing arithmetic operations as MCP tools, the server lets AI assistants perform precise calculations without hard‑coding math logic into the model itself. This is especially useful when an assistant needs to evaluate expressions that involve floating‑point precision, complex formulas, or external data sources that the model cannot compute internally.
Developers can integrate this server into any MCP‑compatible workflow, such as GitHub Copilot or Claude’s external tool ecosystem. Once the server is running, an LLM can invoke tools like , , , , , and by passing arguments in JSON. The server executes the requested operation in a browser context, ensuring consistent behavior across environments and leveraging the same engine that powers typical web calculators. The result is streamed back to the model via Server‑Sent Events (SSE) or any custom transport, enabling real‑time interaction.
Key capabilities include:
- Modular arithmetic tools that map directly to common calculator functions.
- SSE transport support, allowing lightweight, low‑latency communication without WebSocket overhead.
- Headless browser execution with optional headed mode for debugging or environments lacking a display server.
- Programmatic API for creating in‑memory transports, making the server suitable for unit tests or isolated environments.
Real‑world scenarios benefit from this setup: a code‑generation assistant can automatically compute intermediate values while drafting algorithms; an educational chatbot can demonstrate step‑by‑step calculations; and data‑analysis pipelines can outsource numeric evaluation to a reliable, sandboxed engine. By decoupling computation from the LLM, developers avoid hard‑coding math logic and gain a reusable, testable component that can be swapped or upgraded independently.
Overall, the Calculator MCP server offers a lightweight, browser‑based arithmetic engine that integrates seamlessly into AI toolchains. Its simplicity, coupled with robust transport options and a clear set of arithmetic tools, makes it an attractive choice for developers looking to add reliable calculation capabilities to their AI assistants.
Related Servers
MarkItDown MCP Server
Convert documents to Markdown for LLMs quickly and accurately
Context7 MCP
Real‑time, version‑specific code docs for LLMs
Playwright MCP
Browser automation via structured accessibility trees
BlenderMCP
Claude AI meets Blender for instant 3D creation
Pydantic AI
Build GenAI agents with Pydantic validation and observability
Chrome DevTools MCP
AI-powered Chrome automation and debugging
Weekly Views
Server Health
Information
Explore More Servers
Framer Plugin MCP Server
Build Framer plugins with integrated Web3 features
Calendar App MCP
Local macOS Calendar integration for AI assistants
Supabase MCP Server
Connect Supabase to AI tools with a single command line server
Lunar MCPX
Zero‑code aggregator for multiple MCP servers
Pinecone MCP Server
Seamless Pinecone integration for Claude Desktop
Bestk Tiny Ser MCP Server
Lightweight Cloudflare-based MCP server for event-driven applications