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headlessherm-creator/polymath-megablaster-mcp

headlessherm-creator/polymath-megablaster-mcp

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.
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配置模板(请按你的客户端调整)
claude mcp add polymath-megablaster-mcp -- npx -y polymath-megablaster-mcp
这是根据仓库名生成的可粘贴骨架,命令行参数与包名请以该项目 README 为准。
★ 数取值
0 ★ · headlessherm-creator/polymath-megablaster-mcp · 取自 GitHub 搜索 API · (2026-10-16 20:00:20 核对)
来源明细
收录自 punkpeye/awesome-mcp-servers 榜单(我们从中收集的条目之一) · 条目类型:MCP 服务
收录与活跃
收录于 2026-10-09 · 最近见到 2026-10-16 · 共见到 32 次 · 被 7 个来源列出
评分构成
综合分 703 · 7 个来源 · mcp
常见问题(答案都来自我们的记录)
怎么安装?
我们【没有】从该仓库取到安装命令(我们的 install 覆盖率只有约 4%)。请看它的 README 或 releases 页。
它适合谁 / 用来做什么?
我们把它归在这些标签下: MCP 服务。标签来自条目自身,不是我们强加的分类。
谁维护它、还在更新吗?
仓库 headlessherm-creator/polymath-megablaster-mcp;我们收录于 2026-10-09;最近见到 2026-10-16。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。
第三方质量标记

Polymath MegaBlaster MCP

以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →

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)
来源
awesome · https://github.com/headlessherm-creator/polymath-megablaster-mcp
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