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Verifiable text/code/measurement tools for agents, each reproducing a named authority.
Verifiable text/code/measurement tools for agents, each reproducing a named authority.
Valid MCP server (1 strong, 4 medium validity signals). No known CVEs in dependencies. Package registry verified. Imported from the Official MCP Registry.
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Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-savecharlie-touchstone": {
"args": [
"touchstone-compute"
],
"command": "uvx"
}
}
}From the project's GitHub README.
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.
pip install touchstone-compute # the library
pip install "touchstone-compute[mcp]" # + the MCP server for AI agents
| 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, ...}
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.
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)
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