Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Description from the maker (original English)
Find Tenders in 35 Countries of the WTO-GPA Zone and ground your AI for your RFP responses
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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.
QLOWS_TOKEN, QLOWS_BASE_URLValues marked secret are keys to your account. Never share them or paste them into a chat.
You need
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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": {
"qlows": {
"command": "npx",
"args": [
"-y",
"@qlows/mcp"
],
"env": {
"QLOWS_TOKEN": "your-value",
"QLOWS_BASE_URL": "your-value"
}
}
}
}Run this in your terminal
claude mcp add qlows --env QLOWS_TOKEN=your-value --env QLOWS_BASE_URL=your-value -- npx -y @qlows/mcpFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"qlows": {
"command": "npx",
"args": [
"-y",
"@qlows/mcp"
],
"env": {
"QLOWS_TOKEN": "your-value",
"QLOWS_BASE_URL": "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": {
"qlows": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@qlows/mcp"
],
"env": {
"QLOWS_TOKEN": "your-value",
"QLOWS_BASE_URL": "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.
QLOWS_BASE_URL envThese 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 getqlows, 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: QLOWS_TOKEN
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 (1.0.0) reached the registry 4 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.
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Bring your live [qlows](https://qlows.com) RFP/bid deals — and the public tender corpus across 35 WTO-GPA countries — into Claude, Cursor, Windsurf, Cline, Zed, or any Model Context Protocol client.
qlows-mcp is a tiny local connector. It runs on your machine as a stdio MCP server and securely proxies tool calls to the qlows API (https://app.qlows.com). It stores nothing but your token, contains no backend logic, and is read-only — your AI can pull deal context, never write back.
Quotes. Flows. Close. qlows preps the bid; your AI drafts from real,
grounded context. Learn more at https://qlows.com.
One-click install for the common clients (or copy the JSON snippet below):
# 1. Connect your account (opens the browser, you paste a token back)
npx @qlows/mcp login
npx @qlows/mcp test # → prints the available tools
npx @qlows/mcp config
Then add qlows to your client (example: Claude Desktop, ~/Library/Application Support/Claude/claude_desktop_config.json):
{
"mcpServers": { "qlows": { "command": "npx", "args": ["-y", "@qlows/mcp"] } } }
Restart the client. If you didn't run login, pass the token instead:
{
"mcpServers": { "qlows": { "command": "npx", "args": ["-y", "@qlows/mcp"], "env": { "QLOWS_TOKEN": "qlw_live_…" } } } }
You'll need a qlows account to mint a personal token (free tier works for tender search). Sign up + mint at https://app.qlows.com/mcp.
After connecting, ask your AI:
from qlows and draft the Technical Approach section, grounding every claim in the compliance items and our approved answers."*All tools are read-only. Personal-data tools need a personal token; the tender tools also work on a free account.
| Tool | What it does |
|---|---|
list_deals | Your RFP/bid deals (lightweight metadata) |
get_deal_snapshot | Full deal snapshot — RFP summary + compliance + Q-routing + intelligence |
search_compliance_items | Keyword search across compliance items |
get_q_routing_state | Sections + questions + answers + assignment state |
get_intelligence_summary | AI summary + tailoring detection |
list_questions | Flat question list |
list_competitors | Per-deal competitor analysis |
search_tenders | Public tender corpus search (FTS + filters) |
search_tenders_for_my_company | Personalised semantic tender search |
get_tender_detail | Full enriched record for one tender |
Plus three prompts (slash-commands) — find_matching_tenders, draft_rfp_section, weekly_pipeline_review — see Skills below.
The connector discovers tools and prompts live from the server, so new qlows capabilities appear without updating this package.
Three things qlows is built to do inside your AI. Each maps to a prompt (a slash-command your client exposes) plus the read-only tools it drives — all grounded in real qlows data, never invented.
Prompt: `find_matching_tenders` (args: industry, optional country, optional deadline_within_days). Drives search_tenders and returns each live notice with its canonical qlows_url. Full context: https://qlows.com/platform/qlows-mcp.
*"Find open zero-trust networking tenders in Germany closing in the next 30
days, with the qlows link for each."*
Prompt: `draft_rfp_section` (args: deal_id, section). Pulls the deal's compliance grid and approved answers via get_deal_snapshot + search_compliance_items, then drafts the section with every claim traced to source — no fabricated capabilities, dates, or past performance.
*"Draft the Technical Approach for deal
, grounded in the compliance
items and our approved answers."*
Prompt: `weekly_pipeline_review` (no args). Uses list_deals + get_q_routing_state to produce a prioritized to-do list: what's due, what's blocked, and the next action per deal.
*"Review my qlows pipeline and tell me which bids need attention first."*
The public tender skills work on a free account; the deal skills need a personal token. See the full platform overview.
| Command | Description |
|---|---|
qlows-mcp | Run the MCP server over stdio (how clients launch it) |
qlows-mcp login | Sign in via browser and store a token in ~/.qlows/config.json (0600) |
qlows-mcp test | List available tools to verify your token |
qlows-mcp config | Print config path + a client setup snippet |
qlows-mcp help | Usage |
Environment variables
QLOWS_TOKEN — API token (overrides the stored one).QLOWS_BASE_URL — defaults to https://app.qlows.com; point at http://localhost:3000 for local testing.MCP client (Claude/Cursor) ⇄ qlows-mcp (stdio, local) ⇄ https://app.qlows.com/api/mcp/<token>/rpc
The connector is a transparent JSON-RPC proxy. It does not implement tools — it forwards initialize, tools/list, tools/call, prompts/*, and resources/* to the qlows server and relays the responses. The token travels in the request to qlows over HTTPS; treat it like a password.
qlows-mcp login, or set QLOWS_TOKEN.login.Verify end-to-end with the MCP Inspector:
npx @modelcontextprotocol/inspector npx @qlows/mcp
~/.qlows/config.json (permissions 0600). It collects no telemetry.login (loopback callback).npm install
npm run build QLOWS_TOKEN=… QLOWS_BASE_URL=http://localhost:3000 node dist/index.js test
Publishing is automated on v* tags (see .github/workflows/release.yml): npm publish → MCP Registry publish via GitHub OIDC.
##Badges
MIT