Local MCP toolkit giving AI agents deterministic calculation instead of guessing: 15 free tools for exact math, dates, unit conversion, hashing, networking. 100% local, no network calls, no API keys, no telemetry.
claude mcp add polymath-megablaster-mcp -- npx -y polymath-megablaster-mcp
A pasteable skeleton generated from the repository name. Check the project README for the exact package and arguments.
Star count
0 ★ · headlessherm-creator/polymath-megablaster-mcp · read from the GitHub search API · (checked 2026-10-16 20:00:20)
Source
collected from the punkpeye/awesome-mcp-servers list · type: MCP server
Harvest history
first seen 2026-10-09 · last seen 2026-10-16 · seen 32× · listed by 7 sources
Score
score 703 · 7 sources · mcp
FAQ (answers come from our records)
How do I install it?
We did not find an install command for this repository (our install coverage is only about 4%). Check its README or releases page.
Who is it for?
We filed it under these tags: MCP 服务. The tags come from the entry itself, not a taxonomy we imposed.
Who maintains it?
repository headlessherm-creator/polymath-megablaster-mcp;first catalogued 2026-10-09;last seen 2026-10-16。There is no official certification or quality rating here — we record sources and dates only.
Local and open-weight models (Llama, Qwen, Mistral, etc.) are consistently bad at exact math, date arithmetic, unit conversion, and a dozen other deterministic tasks. (Frontier hosted models like Claude and GPT-4 handle most of this correctly unaided already — this tool is aimed at closing the gap for smaller/local models, not replacing what those already do well.) This is a local toolkit of 15 free tools that give AI agents a way to offload the kinds of computations reasoning models generally do not perform very well, computations are offloaded onto a calculator that uses classical deterministic methods to ascertain needed values. Fully offline, deterministic and 100% local, no network calls, no telemetry, no API keys. Fully open source and built lean. **Useful things it does:** - Does exact math on huge numbers without rounding errors - Figures out dates correctly, including leap years and "the last day of the month" edge cases - Converts between units (km/miles, C/F, kg/lb) without approximating - Works out subnet math for networking - Computes distance between two coordinates (great-circle) **More technical things it does:** - Arbitrary-precision arithmetic, factorials, permutations, combinations (avoids float64 overflow) - Statistics (mean, median, stdev, variance, percentiles) on a list of numbers - Base conversion (decimal, hex, binary, octal) - Levenshtein edit distance and similarity ratio (deterministic fuzzy matching) - Time zone conversion (IANA zone aware) - Token counting (GPT tokenizer) so an agent can manage its own context budget Why local Most AI dev tool MCP servers either charge a subscription or call out to a remote API. This one never touches the network. Every tool is pure local computation, verifiable in the source: read src/tools.js, there is no fetch or http import anywhere in it. Setup **1. Install Node.js** (v18 or newer) if you don't have it: https://nodejs.org **2. Clone this repo and install dependencies:** **3. Point your MCP client at the local path:** Add that to your MCP client's config and restart it. Setup docs for common clients: - Claude Desktop: https://modelcontextprotocol.io/quickstart/user - Cursor: https://docs.cursor.com/context/model-context-protocol - Claude Code: https://docs.claude.com/en/docs/claude-code/mcp Tools (15, all free) - **Deterministic math**: calculate (arbitrary-precision expression evaluator), factorial, permutations, combinations (all arbitrary-precision, avoid float64 overflow), compute_statistics (mean, median, stdev, variance, percentiles) - **Date and time**: date_add, date_diff (leap years, month boundaries, business days handled correctly), convert_timezone - **Conversion**: convert_unit (length, weight, volume, temperature), convert_base (decimal, hex, binary, octal) - **Networking**: calc_subnet (CIDR math), check_ip_type (private/reserved range lookup) - **Text**: levenshtein_distance (exact edit distance and similarity ratio)