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
PrivacyFence
Overview
Description from the maker (original English)
Needs the PrivacyFence app from privacyfence.eu: human approval and audit for AI access to your data
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.
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Download the maker’s .mcpb file
The link goes to the maker’s own file; we do not host or repackage it. Open the file and Claude Desktop installs it.
Run this in your terminal
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.
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 privacyfence, 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 32435 servers in this category
- Published to the registry more recently than 88% of the other 32435 servers in this category
- Basic checks equal to or better than 100% of the other 32435 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 PrivacyFence 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 (7.0.1) reached the registry 4 days ago.
Which apps can use it?
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need MCPB on your computer.
What can I use instead?
In the same category: Spec Driven Development, Remote Desktop Commander, Apify MCP Server
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
Apify MCP Server
by apify
Extract data from any website with thousands of scrapers, crawlers, and automations on Apify Store ⚡
Runs in the 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.
PrivacyFence
AI access without giving AI the keys. Approve the sensitive. Automate the routine.
PrivacyFence is an open-source privacy and approval gateway between AI assistants and your business systems. It connects MCP-compatible assistants such as Claude Desktop and Claude Code to Gmail, Google Drive, Calendar, Slack, Salesforce, Jira, Confluence, Telegram, and more.
PrivacyFence enforces, independently of the AI, what an assistant may see and do. Sensitive reads and consequential actions require human approval, while routine requests can be automated by policy. Optional PII detection runs locally before personal data reaches the AI, and every decision is audited.
PrivacyFence runs on an employee’s own computer (macOS, Windows, or Linux) or as a central deployment on infrastructure the organization controls, allowing web clients such as claude.ai to connect as well. Connector credentials stay with PrivacyFence, never with the AI client, and no data passes through a PrivacyFence-operated server. When an organization server uses PrivacyFence’s built-in sign-in apps, only the sign-in redirect passes through the PrivacyFence relay, and an organization can use its own apps instead.
Website: privacyfence.eu · Download: privacyfence.eu/download · Docs: privacyfence.eu/docs
Why
Giving an AI assistant access to Gmail, Drive, Slack or Salesforce usually means giving it a standing permission and trusting it to use that permission well. Being allowed to read a record is not the same as wanting it sent to an AI, and a tool name in a client's prompt says little about what is about to change. PrivacyFence puts an independent control point between the assistant and your systems: the AI asks, PrivacyFence decides, and you see what is at stake before it happens.
What it does
- Human approval for sensitive reads and for writes, on cards that show the actual content or change, who is asking and why — not a raw tool name or JSON payload.
- Local PII detection before a read reaches the AI: likely personal data is highlighted, and it sends the request to a card even when a rule would have let it through.
- Policy-based automation: narrow always-allow rules (a sender domain, a Drive folder, a Slack channel, a Jira project) let routine requests run without a card.
- An audit log of every accepted, denied and automatically approved request, chained so that an edit made without its key is detected.
- Credentials stay with PrivacyFence. On a packaged install it runs under its own service account, so the AI client, which runs as you, cannot read them or approve its own request.
- A defined set of connectors, each tool with a gate fixed in code. PrivacyFence is not a generic proxy for arbitrary MCP tools.
How it works
Claude Desktop connects through the PrivacyFence extension (PrivacyFence.mcpb); Claude Code and other clients that speak Streamable HTTP connect to the local /mcp endpoint directly; in an organization deployment, clients such as claude.ai, ChatGPT (Developer Mode) and Gemini Enterprise sign in with OAuth through the organization's identity provider. How it works walks one read and one write through, card by card.
Platforms
| Install | Runs on |
|---|---|
macOS (.dmg) | macOS 13 or newer, Apple silicon |
Windows (-setup.exe) | Windows 10 / Windows Server 2016 or newer, x64 |
Linux (.deb) | Ubuntu 24.04, Debian 13 or newer, amd64 |
| Organization deployment | A Linux server with Python 3.11 or newer and systemd (pip install privacyfence) |
Tested with Claude Desktop and Claude Code on every install, with ChatGPT desktop on macOS, and with claude.ai, ChatGPT (Developer Mode) and Gemini Enterprise through an organization deployment; any MCP-compatible client can connect. See Platform support.
Connectors
| Connector | What an AI client can do through it |
|---|---|
| Gmail | Search and read messages, threads and attachments; create drafts and replies, labels, filters; archive. No tool sends email. |
| Google Drive, Docs & Sheets | Search, read, download, upload, move and write files; edit and format Docs; read, write and format Sheets |
| Google Calendar | Read events, free/busy and rooms; create, update and delete events; out-of-office and working location |
| Google Contacts, Tasks | Read, create and update contacts and tasks |
| Google Apps Script | Read and write project source; read the result of a run you started (PrivacyFence never runs scripts) |
| Slack | List and read channels, DMs and threads; search; send messages; start group chats |
| Telegram | Read and search chats; send messages |
| Salesforce | Read records, search, run reports; create and update records |
| Jira | Read, create, update, comment on and transition issues |
| Confluence | Search and read pages and attachments; create and update pages |
| Jira Assets | Browse schemas, object types and attributes; search and read objects, linked objects and connected tickets; export to CSV/JSON (read-only) |
| Grist | List documents and tables; read records after review; add and update records, add tables and columns (nothing is deleted) |
| Peek | List your shared HTML pages and their versions; read comments, visit counts and who has access after review; publish pages and new versions, choose who can open them, rename, comment on and delete them |
| Miro | List boards and tags; read items and connector lines after review; add and change sticky notes, cards, texts, shapes, frames and connector lines with approval (nothing is deleted) |
Connectors summarizes what each one reviews and which writes need approval; the Tools reference lists every tool and its gate.
Quick start
- Download the installer for your platform from privacyfence.eu/download and run it.
- Sign out and back in once, so your account's new group membership takes effect.
- Add a passkey when the companion app (menu bar, tray, or applications menu) asks, and keep the recovery code.
- Open Settings from the companion and connect your services.
- Connect Claude Desktop with
PrivacyFence.mcpb, or Claude Code with the/mcpendpoint. - Ask your assistant for something, and approve it on the card.
Step by step for each platform: Getting started, then macOS, Windows or Linux. For claude.ai, ChatGPT or a whole team, see Organization deployment.
Documentation
- Getting started and Connecting a service
- Approvals and policy: cards, the PII check, always-allow rules, the privacy filter
- How it works: the daemon, the MCP endpoint, PrivacyFence's own tools, unattended sessions
- Configuration reference: every
settings.yamland organization-bundle key - Organization deployment: running PrivacyFence centrally
- Security and compliance: trust boundary, privilege separation, audit log
- All published docs: privacyfence.eu/docs. Contributing: CONTRIBUTING.md. Changes per release: CHANGELOG.md.
Limitations
PrivacyFence is independent open-source software, not a certified compliance product. It has no certification, business-continuity plan or SLA, and does not by itself make a deployment compliant with any regulation. It does not protect against root or a local Administrator, or against local code on an install that is not packaged (a source checkout or a pip install). A process running as you can read the local review screen, though not approve from it, and in local mode the name an AI client gives is never verified. The full list is What PrivacyFence does not claim. To report a vulnerability, see SECURITY.md.