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
Dock AI
Overview
Description from the maker (original English)
Discover MCP endpoints for real-world entities by resolving business domains.
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 in the cloud
- Transport: Streamable HTTP
- Category: Other
Install
Pick the AI app you use, then copy the settings.
Before you install
- Basic checks: 1 of 1 passed
- Runs on the maker’s server: what you ask it goes through their server.
- The registry lists no key to fill in.
You need
- Runs in the cloudNothing to install; it connects over the internet
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Works in Claude on the web, desktop and mobile:
- Open Settings → Connectors
- Press Add custom connector
- Paste the address below and press Add
- If it asks you to sign in, sign in with the maker
https://mcp.dockai.co/mcpRun this in your terminal
claude mcp add --transport http dockai https://mcp.dockai.co/mcpOr copy the settings yourself
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"dockai": {
"url": "https://mcp.dockai.co/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.
Or copy the settings yourself
Paste into .vscode/mcp.json in your project
{
"servers": {
"dockai": {
"type": "http",
"url": "https://mcp.dockai.co/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.
ChatGPT connects only to servers on the internet:
- Open ChatGPT on the web → Settings → Connectors (Apps)
- Press Create or Add (some plans need Developer mode under Advanced first)
- Paste the address below, give it a name and save
- If it asks you to sign in, sign in with the maker
https://mcp.dockai.co/mcpMenu names can differ slightly by plan and over time.
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
We have not read this server’s tool list yet; we check endpoints in rotation.
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 7, 2026
- ✓ Pass
Maker matches the repo
The registry name was verified against the domain dockai.co (the registry checks domain ownership)
- … 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 checked yet
Endpoint responds
Not checked yet; we check endpoints in rotation
- … Not checked yet
Sign-in with OAuth
Not checked yet; we check endpoints in rotation
- … Not checked yet
No hidden instructions in tool descriptions
Not checked yet; we read the tool list when we check the endpoint
Compared with others in Otheri
- More stars than 0% of the other 32602 servers in this category
- Published to the registry more recently than 1% of the other 32602 servers in this category
- Basic checks equal to or better than 100% of the other 32602 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 Dock AI 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 in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.
Is it still maintained?
The GitHub repo last changed –, and the latest version (1.0.0) reached the registry 10 months ago.
Which apps can use it?
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.
What can I use instead?
In the same category: Spec Driven Development, Remote Desktop Commander, Rystic
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 2 days ago
Install
Rystic
by Rystic-Inc
Start, seed, clock, inspect and diff Rystic API simulators from your agent.
Runs on your computerUpdated 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.
Dock AI MCP
MCP server for Dock AI - discover MCP endpoints for real-world entities.
What is this?
Dock AI is a registry that maps businesses to their MCP connectors. This MCP server allows AI agents to discover which MCP servers can interact with a given entity (restaurant, hotel, salon, etc.) by querying the Dock AI registry.
Hosted Version
Use the hosted version at https://connect.dockai.co/mcp - no installation required.
{"mcpServers": { "dock-ai": { "url": "https://connect.dockai.co/mcp" } } }
Self-Hosting
Deploy to Vercel
Run locally
# Using uvxuvx dock-ai-mcp
Or install and run
pip install dock-ai-mcp dock-ai-mcp
The server starts on http://0.0.0.0:8080/mcp.
Tools
resolve_domain
Check if an MCP connector exists for a business domain.
Input:
domain(string): The business domain to resolve (e.g., "example-restaurant.com")
Output:
{"domain": "example-restaurant.com", "entities": [ { "name": "Example Restaurant", "path": null, "location": { "city": "Paris", "country": "FR" }, "mcps": [ { "provider": "booking-provider", "endpoint": "https://mcp.booking-provider.com", "entity_id": "entity-123", "capabilities": ["reservations", "availability"], "verification": { "level": 2, "method": "dual_attestation" } } ] } ], "claude_desktop_config": { "mcpServers": { "booking-provider": { "url": "https://mcp.booking-provider.com/mcp" } } } }
Examples
Example 1: Restaurant Reservation
User: "Book a table at Gloria Osteria Paris"Agent: [searches web for "Gloria Osteria Paris official website"] -> Finds domain: gloria-osteria.com [calls resolve_domain("gloria-osteria.com")] -> Gets MCP endpoint for SevenRooms -> Connects to the MCP server -> Books the table
Example 2: Hotel Booking
User: "I need a room at The Hoxton in London"Agent: [searches web for "The Hoxton London website"] -> Finds domain: thehoxton.com [calls resolve_domain("thehoxton.com")] -> Gets MCP endpoints for available booking providers -> Uses the MCP to check availability and book
Example 3: Business with No MCP Yet
User: "Book at Le Paris Paris restaurant"Agent: [calls resolve_domain("leparisparis.fr")] -> Response shows pending_providers: [{ "provider": "thefork", ... }] -> Informs user: "This restaurant uses TheFork for reservations, but TheFork hasn't published an MCP connector yet. You can book directly on TheFork's website."
Support
- Documentation: dockai.co/docs
- Issues: GitHub Issues
- Email: support@dockai.co
Privacy
This MCP server queries the Dock AI registry API to resolve domains. No user data is collected or stored. See our Privacy Policy.
License
MIT