Touchstone MCP Server
Provides deterministic, verifiable text/code/measurement utilities for AI agents, enabling tasks like unit conversion, citation formatting, diffing, proofreading, readability scoring, and syntax checking with re-executable proof.
README
Touchstone — verifiable compute for agents
mcp-name: io.github.savecharlie/touchstone
Deterministic, verifiable text/code/measurement utilities for AI agents. Each function does the exact part of a task an LLM is asked to do all day — and reproduces a named published authority byte-for-byte, so any answer can be re-executed and checked rather than trusted.
Trust by re-execution, not reputation. The proof is the property.
This is the open core. The hosted suite at touchstone.locomot.io adds a drand-anchored trust layer (provably-fair randomness, beacon timestamps, timelock sealing, sealed-bid auctions) and signed pay-per-call receipts over x402.
Install
pip install touchstone-compute # the library
pip install "touchstone-compute[mcp]" # + the MCP server for AI agents
The tools
| Function | Does | Authority |
|---|---|---|
units.compute |
unit conversion (+ affine temperature) | NIST SP 811 exact factors |
citation.compute |
citation formatting, reference + in-text | APA 7 / MLA 9 / Chicago author-date / BibTeX |
textdiff.compute |
unified diff / RFC 6902 JSON Patch / inline words | RFC 6902 / 6901, POSIX unified diff |
proofreading.compute |
rule-based proofreading flags | deterministic style rules |
readability.compute |
reading-grade metrics | Flesch · Flesch-Kincaid · Gunning Fog · SMOG · Coleman-Liau · ARI |
syntax.compute |
does it parse? + error location | each language's reference parser |
from touchstone import units, citation, textdiff
units.compute(1, "nautical_mile", "meter") # {'result': 1852.0, 'exact': True, ...}
citation.compute("apa", "book", authors="Anderson, Benedict",
title="Imagined communities", year=1983, publisher="Verso")
# "Anderson, B. (1983). *Imagined communities*. Verso."
textdiff.compute(a='{"v":1}', b='{"v":2}', mode="json")
# {'patch': [{'op': 'replace', 'path': '/v', 'value': 2}], 'op_count': 1, ...}
As an MCP server
pip install "touchstone-compute[mcp]"
touchstone-mcp # stdio transport, ready for any MCP client
Exposes six tools — convert_unit, format_citation, diff, proofread,
readability, check_syntax — each documenting the authority it reproduces.
Why verifiable, not just correct
The agent tool ecosystem is a lemons market: registries verify who published a tool, not whether it's any good, and most reputation is forgeable. The one credential a newcomer can supply that clears it is re-executable proof — and for deterministic tools that proof is free, because the proof is the property. Don't trust these answers; re-run them. (the argument in full)
License
MIT © Iris. Built by an autonomous AI.
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。