Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Description from the maker (original English)
Intelligent API routing for AI agents. Best service, best price, free alternatives.
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.
Pick the AI app you use, then copy the settings.
GOOGLE_MAPS_API_KEY, DEEPL_API_KEY, LIBRETRANSLATE_API_KEYValues marked secret are keys to your account. Never share them or paste them into a chat.
You need
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": {
"hebline": {
"command": "npx",
"args": [
"-y",
"@hebline.ai/mcp-server"
],
"env": {
"GOOGLE_MAPS_API_KEY": "your-value",
"DEEPL_API_KEY": "your-value",
"LIBRETRANSLATE_API_KEY": "your-value"
}
}
}
}Run this in your terminal
claude mcp add hebline --env GOOGLE_MAPS_API_KEY=your-value --env DEEPL_API_KEY=your-value --env LIBRETRANSLATE_API_KEY=your-value -- npx -y @hebline.ai/mcp-serverFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"hebline": {
"command": "npx",
"args": [
"-y",
"@hebline.ai/mcp-server"
],
"env": {
"GOOGLE_MAPS_API_KEY": "your-value",
"DEEPL_API_KEY": "your-value",
"LIBRETRANSLATE_API_KEY": "your-value"
}
}
}
}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": {
"hebline": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@hebline.ai/mcp-server"
],
"env": {
"GOOGLE_MAPS_API_KEY": "your-value",
"DEEPL_API_KEY": "your-value",
"LIBRETRANSLATE_API_KEY": "your-value"
}
}
}
}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.
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 Hebline, 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.
You need to fill in: GOOGLE_MAPS_API_KEY, DEEPL_API_KEY, LIBRETRANSLATE_API_KEY
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 (0.2.1) reached the registry 7 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
In the same category: Spec Driven Development, Remote Desktop Commander, AvaHR
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.
Read hiring data and create inactive assessment and questionnaire drafts for human review.
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.
Your agents overpay for every API call. We fix that.
Hebline routes every API call — including LLM calls — to the best service at the right price. Free when it's enough. Paid when it matters. It knows the difference.
Every other router earns a margin on your paid calls. Routing you to free alternatives kills their revenue. No margin on your API calls. Ever.
Your agents are bleeding money. One task triggers 5–10 paid API calls across different providers. No transparency, no cost control. Hebline fixes that:
Your AI Agent ←→ Hebline MCP Server ←→ Best API (Nominatim, DeepL, Google Maps, ...)
│ Smart Routing Cost Logging Provider Scoring
Your agent connects to Hebline as an MCP server. Instead of calling APIs directly, it uses Hebline's tools — execute, compare, or categories. Hebline scores all available services, picks the best one, makes the call, and returns the result with full metadata.
| Tool | Description |
|---|---|
execute | Route to the best service and make the API call. Returns result + metadata (service, cost, latency). |
compare | Show all available services for a capability with scores. See what's available before committing. |
categories | List all supported capabilities and their services. |
Add to claude_desktop_config.json:
{
"mcpServers": { "hebline": { "command": "npx", "args": ["-y", "-p", "@hebline.ai/mcp-server", "hebline-mcp"] } } }
Add to .mcp.json:
{
"mcpServers": { "hebline": { "command": "hebline-mcp" } } }
Add to .cursor/mcp.json:
{
"mcpServers": { "hebline": { "command": "npx", "args": ["-y", "-p", "@hebline.ai/mcp-server", "hebline-mcp"] } } }
Add to ~/.codeium/windsurf/mcp_config.json:
{
"mcpServers": { "hebline": { "command": "npx", "args": ["-y", "-p", "@hebline.ai/mcp-server", "hebline-mcp"] } } }
Add to .vscode/mcp.json:
{
"servers": { "hebline": { "type": "stdio", "command": "npx", "args": ["-y", "-p", "@hebline.ai/mcp-server", "hebline-mcp"] } } }
npm install -g @hebline.ai/mcp-server
Set environment variables for any paid providers you want to use:
GOOGLE_MAPS_API_KEY=your-key-here
DEEPL_API_KEY=your-key-here LIBRETRANSLATE_API_KEY=your-key-here
No keys? No problem — Hebline routes to free alternatives automatically.
| Category | Free | Paid (BYOK) |
|---|---|---|
| LLMs | Groq (Llama 3.3 70B), Google Gemini Flash | OpenAI GPT-4o-mini (OPENAI_API_KEY) |
| Geocoding | Nominatim (OpenStreetMap) | Google Maps (GOOGLE_MAPS_API_KEY) |
| Translation | MyMemory | DeepL (DEEPL_API_KEY), LibreTranslate (LIBRETRANSLATE_API_KEY) |
| Web Scraping | Fetch Scraper | Firecrawl (FIRECRAWL_API_KEY) |
| Currency | ExchangeRate-API | Fixer.io (FIXER_API_KEY) |
| OCR | OCR.space | Google Vision (GOOGLE_VISION_API_KEY) |
| Weather | Open-Meteo | OpenWeatherMap (OPENWEATHERMAP_API_KEY) |
| Web Search | DuckDuckGo | Brave Search (BRAVE_API_KEY) |
| News | HackerNews | NewsAPI.org (NEWSAPI_KEY) |
9 categories, 20 services. Free services work instantly — no API key needed. LLMs route through the Hebline proxy when no local key is set (50 free calls/day).
An agent asks: *"Geocode the Brandenburg Gate in Berlin"*
Hebline receives:
{
"capability": "geocoding", "input": { "query": "Brandenburger Tor, Berlin" }, "constraint": "free" }
Hebline responds:
{
"success": true, "data": { "lat": 52.5163, "lon": 13.3777, "displayName": "Brandenburger Tor, Pariser Platz, Berlin, 10117, Deutschland" }, "meta": { "service": "Nominatim (OpenStreetMap)", "costUsd": 0, "latencyMs": 258, "score": 0.702, "free": true } }
The agent got coordinates, knows it was free, and Hebline logged the call for future analysis.
mcp-server/
├── src/ │ ├── index.ts # MCP server entry point (stdio transport) │ ├── types.ts # Shared TypeScript types │ ├── registry.ts # Service definitions (capabilities, costs, scores) │ ├── router.ts # Weighted scoring engine (Hopfield-ready) │ ├── logger.ts # Append-only JSONL call log (~/.hebline/calls.jsonl) │ ├── adapters/ # One adapter per service │ │ ├── nominatim.ts # Free geocoding │ │ ├── google-maps.ts # Paid geocoding (BYOK) │ │ ├── mymemory.ts # Free translation │ │ ├── libretranslate.ts # Paid translation (BYOK) │ │ └── deepl.ts # Paid translation (BYOK) │ └── tools/ # MCP tool definitions │ ├── execute.ts # Route + call best service │ ├── compare.ts # Score all services │ └── categories.ts # List capabilities
Every API call is logged to ~/.hebline/calls.jsonl:
{"timestamp":"2026-03-29T09:36:37Z","capability":"geocoding","serviceId":"nominatim","latencyMs":212,"success":true,"costUsd":0}
No content is logged — only metadata. This data will power Hebbian Learning in future versions.
Contributions are welcome! Adding a new adapter is straightforward — implement the ServiceAdapter interface and register it.
git clone https://github.com/hebline/mcp-server.git
cd mcp-server npm install npm run build npm test
MIT
Built by Hebline — Route free first. Only pay when necessary.