Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Description from the maker (original English)
Verifiable text/code/measurement tools for agents, each reproducing a named authority.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
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Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"touchstone": {
"command": "uvx",
"args": [
"touchstone-compute"
]
}
}
}Run this in your terminal
claude mcp add touchstone -- uvx touchstone-computePaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"touchstone": {
"command": "uvx",
"args": [
"touchstone-compute"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"touchstone": {
"type": "stdio",
"command": "uvx",
"args": [
"touchstone-compute"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
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Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026
The registry name was verified with the GitHub account savecharlie, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
The registry does not list a required key, though some servers ask you to sign in on first use.
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (0.1.0) reached the registry 4 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.
In the same category: Spec Driven Development, Remote Desktop Commander, Detailing Manager
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Connect your auto detailing studio's tasks, cars, clients and revenue to Claude or ChatGPT.
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
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](https://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")
textdiff.compute(a='{"v":1}', b='{"v":2}', mode="json")
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)
MIT © Iris. Built by an autonomous AI.