Touchstone MCP Server

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.

Category
Visit Server

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.

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured