Spec Driven Development
by formulahendry
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Runs on your computer★ 440MITUpdated 14 months ago
Install
DataCharter
Overview
Description from the maker (original English)
Local-first, contract-governed data explorer with read-only, PII-masked query tools for AI agents.
PopNx MCP’s three pillars
These three are never merged into one score: opinions, measurements and popularity are different things.
- User voiceiNo reviews yetReviews open together with accounts in a later step
- Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
- UsageiNot measured yet★ –
What you can do with it
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
- Connection: Runs on your computer
- Transport: stdio
- Category: Other
Install
Pick the AI app you use, then copy the settings.
Before you install
- Basic checks: 1 of 1 passed
- Runs on your computer with your user’s permissions (files, network, apps).
- The registry lists no key to fill in.
You need
- PyPIPython’s uv installed (for the uvx command)
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"datacharter": {
"command": "uvx",
"args": [
"datacharter",
"mcp"
]
}
}
}Run this in your terminal
claude mcp add datacharter -- uvx datacharter mcpThis one needs values on its command line, so copy the settings and fill them in.
Or copy the settings yourself
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"datacharter": {
"command": "uvx",
"args": [
"datacharter",
"mcp"
]
}
}
}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.
This one needs values on its command line, so copy the settings and fill them in.
Or copy the settings yourself
Paste into .vscode/mcp.json in your project
{
"servers": {
"datacharter": {
"type": "stdio",
"command": "uvx",
"args": [
"datacharter",
"mcp"
]
}
}
}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.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
Your choice stays on this device in a cookie; no account needed.
These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
What it can do
Runs on your computer; the tool list appears in your AI app after you install it.
Basic checksi
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 6, 2026
- ✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account datacharter, which owns the repo
- … Not checked yet
Still maintained
We have not read this repo from GitHub yet
- … Not checked yet
Has a licence
We have not read this repo from GitHub yet
- – Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
- – Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
- … Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints
Compared with others in Otheri
- More stars than 0% of the other 32380 servers in this category
- Published to the registry more recently than 43% of the other 32380 servers in this category
- Basic checks equal to or better than 100% of the other 32380 servers in this category
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
Common questions
Is DataCharter safe?
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.
What keys or codes does it need?
The registry does not list a required key, though some servers ask you to sign in on first use.
Does it run on my computer or in the cloud?
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).
Is it still maintained?
The GitHub repo last changed –, and the latest version (0.44.0) reached the registry 2 months ago.
Which apps can use it?
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.
What can I use instead?
In the same category: Spec Driven Development, Remote Desktop Commander, Dechonet MCP
Alternatives
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
Remote Desktop Commander
by desktop-commander
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Runs in the cloud★ 211Updated yesterday
Install
Dechonet MCP
by node-man
30 security tools for AI agents: phishing links, exposure maps, DNS, SSL, PQC, history, pivots.
Computer or cloudUpdated today
Install
README from the maker
Open the README
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.
DataCharter
Query all your data locally. Hand agents exactly the columns you choose.
A local SQL workspace over files and databases, federated by DuckDB and governed by charter.yaml. Agents get read-only, PII-masked access to what the contract grants. Apache-2.0. No paid edition.
[datacharter.dev](https://datacharter.dev) · Docs · Desktop · GovBench · Deploy
Two ways in. Same kernel.
Laptop
Drop a file. Query it. Chart it. An agent sees ••• where PII lives.
uvx datacharter serve # demo workspace, http://127.0.0.1:8321or: datacharter init --from && datacharter serve
or: datacharter init --template life && datacharter serve --local
No terminal: desktop app (beta). macOS (Apple Silicon) or Windows. Unsigned until Apple secrets exist.
brew install datacharter/tap/datacharter # macOSpip install datacharter # Python 3.11+
The workspace is a directory: charter.yaml, queries/, guides/. Commit it. Secrets stay out. Optional agent: SpaceXAI, Claude Code, Ollama (--local), or any OpenAI-compatible endpoint.
Company
The same binary, on a shared MCP endpoint. Identities live in git, not on our servers. No rows leave your infrastructure.
datacharter mcp --http --host 0.0.0.0 # OAuth env required off loopbackhelm install datacharter ./chart \ --set oauth.issuer=... --set oauth.audience=... --set oauth.jwksUri=... datacharter govbench --json # cite corpus govbench-v1
- MCP Streamable HTTP (
POST /mcp) with optional OAuth 2.1 principals:andgrants:incharter.yaml(default-deny on HTTP)- Helm chart and OCI image
- Hash-chained audit plus SIEM JSON/OTLP
- GovBench: frozen 28-attack corpus, grade A-F
Wrap someone else's MCP server: datacharter mcp --guard "npx -y some-mcp-server".
What the contract enforces
PII default-deny, row filters, plain-English policies (aggregates only), canaries, a flight recorder, datacharter redteam, access diff on PRs. CLI reference: docs/cli.md. Security: docs/security.md.
Status: pre-release. V1 in development.
Privacy
Runs on your machine or in your cluster. No telemetry. No DataCharter-operated data plane. Privacy Policy.
License
Apache-2.0