Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Description from the maker (original English)
Remote jobs, freelance gigs, vacancies. 24 boards: Upwork, Freelancer, RemoteOK, hh.ru, Kwork.
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.
WORKIX_API, WORKIX_AGENT_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": {
"workix": {
"command": "npx",
"args": [
"-y",
"@workix/mcp"
],
"env": {
"WORKIX_API": "your-value",
"WORKIX_AGENT_KEY": "your-value"
}
}
}
}Run this in your terminal
claude mcp add workix --env WORKIX_API=your-value --env WORKIX_AGENT_KEY=your-value -- npx -y @workix/mcpFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"workix": {
"command": "npx",
"args": [
"-y",
"@workix/mcp"
],
"env": {
"WORKIX_API": "your-value",
"WORKIX_AGENT_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": {
"workix": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@workix/mcp"
],
"env": {
"WORKIX_API": "your-value",
"WORKIX_AGENT_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.
WORKIX_API 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 6, 2026
The registry name was verified against the domain workix.co (the registry checks domain ownership)
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: WORKIX_AGENT_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 (1.0.0) reached the registry 3 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, BankBridge
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.
Works in any MCP agent, including local models. Read-only bank accounts, spending, investments.
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.
Runtime source catalog: the current platform list is platforms.json. The older platform research matrices are historical evidence, not an active integration list. include_jobs is active; include_agent_gigs is active for structured agent task sources; discovery_only records external agent APIs/MCPs for networking and contact discovery without pretending they are job feeds; watch_pending is explicit-test only; watch_browser is manual browser-only.
Local MCP server for AI agents (Cursor, Claude, etc.) that work with the Workix hub and freelance boards.
AVITO_ENABLE=1 / X_ENABLE=1) and opt-in only.platforms.json for networking and contact discovery.performer URLs remain unchanged for compatibility.collab; workix_list_performers can filter by those preferences.hidden controls whether a participant appears in feeds/search, while workix_bump_profile resurfaces a card no more than once every 3 days.workix_collect ingests every source into the store in parallel (HTTP/RSS/boards/HH + a full Telegram channel sweep); workix_db_search then ranks/filters the store across all platforms with no network — word-boundary keyword match, résumé/"for hire" drop, cross-post collapse, per-advertiser cap, and an "already applied" cross-check against the outreach log.workix_tg_search now takes mode: search | dump — server-side per-term walk vs. sweep-then-match-locally. Fixed the since window (Telegram-only checkpoint, 2-day floor).web3.career, reactjobs.io (React/RN/Flutter/mobile), and aijobs.net (AI/ML) adapters; ATS company list expanded +17 (Proton, Tailscale, Sierra, Cognition, Decagon, ElevenLabs, Perplexity, RevenueCat, Zed, Modal, Baseten, …); YC Work at a Startup and Wellfound read through a logged-in browser profile (scripts/board-open.mjs + board-save.mjs).telegram-channels.json / .example.json) synced to 80 channels, dead entries pruned.Previously (1.1.0): adapters for JobSearchDB, regional boards, Remocate, Startup Jobs MCP, Startupium, TheHub; Telegram checkpoints / incremental since / scan timing / source-quality rotation; runtime source catalog and access docs.
Full release notes: CHANGELOG.md.
Workix is a shared catalog where projects (startups/products/communities), roles & orders, participants, and mentors find each other. Search by skills and interests, then connect through the owner’s preferred contact or apply flow. It is not a closed freelance marketplace: agents use this MCP to search that catalog, manage your listings, and also pull opportunities from external boards while keeping platform credentials on the user’s machine.
Install (recommended): clone this repo → mcp/ → npm install && npm run build · Docs: workix.co/agent · api.txt · llms.txt Optional shortcut: npx -y @workix/mcp (npm may lag behind git).
| Channel | Link / id |
|---|---|
| npm | @workix/mcp |
| Official MCP Registry | co.workix/mcp |
| Source | facetoplace/Workix → mcp/ |
| Dataset | workix/workix-mcp on Hugging Face |
| Community catalogs | mcp.so · mcpservers.org · mcpmarket.com |
workix/workix-mcp — open dataset generated from this server's own tool definitions (Apache-2.0), in three configs:
| Config | Rows | What |
|---|---|---|
qa | 83 | hand-written Q&A in en/ru/es: what Workix is, what data it exposes, how clients use it |
calls | 144 | user prompt → assistant tool_call in OpenAI messages format |
tools | 54 | the raw tool catalog: name, description, JSON Schema |
from datasets import load_dataset
qa = load_dataset("workix/workix-mcp", "qa", split="train")
Regenerate after changing the tool surface — it reads tools/list off the running server:
node scripts/dump-tools.mjs
HF_REPO=workix/workix-mcp node scripts/dataset-build.mjs
Sources: scripts/dump-tools.mjs · scripts/dataset-build.mjs · seeds in scripts/dataset-qa.json
WORKIX_AGENT_KEY)WORKIX_AGENT_KEY)Open contribution: see CONTRIBUTING.md (adapters + Telegram channels catalog PRs). Agent prompt & storefront: ../README.md.
Telegram channels: shared list telegram-channels.example.json — how to add via PR: TELEGRAM-CHANNELS.md.
All local state is in the SQLite file below. It is what stops a second session from re-applying to a job, re-posting a card, or showing the same digest twice.
| What | Table | Read it with | Written by |
|---|---|---|---|
| Job cards | jobs | workix_search, workix_get_job | workix_digest / workix_search while collecting |
| Already shown in a digest | shown_digest | workix_job_state → shown_in_digest | workix_digest marks them; only_new (default) then hides them |
| Where we applied, and the status | outreach | workix_outreach_list (job_id, contact, channel, status) | `workix_outreach_log` — required after any draft or send |
| Proposal drafts | drafts | workix_job_state → draft | workix_draft_proposal |
| Already mirrored to workix.co | hub_shares | workix_hub_share_status, workix_history | workix_share_jobs, workix_digest share_to_hub:true |
| Where the last session stopped | checkpoints | workix_checkpoint_get | workix_checkpoint_set |
| Telegram source quality / rotation | source_quality | workix_tg_search result + checkpoint note | workix_tg_search |
| Board response cache | fetch_cache | workix_store_status | collection; force_refresh:true bypasses |
One call before acting on a card:
workix_job_state {"job_id": "1ca5ff1099b3ca91"} # or {"url": "https://…"}
It returns whether the card was shown in a digest and when, whether it is already on workix.co (sid + link), whether a draft exists, every apply attempt with its status, the hub tracker row (hub_application, so an apply made on another machine also counts), and a next list of what is left. Call it before workix_draft_proposal, workix_submit_proposal and workix_share_jobs.
Applications live on the hub too. The local outreach table only knows this machine. workix_track_apply records the application on workix.co: it publishes the job into the catalog if it is missing, stores status + date + the text that was sent (privately — the listing shows only an anonymous counter), and mirrors the row locally. workix_submit_proposal calls it automatically when the agent sends the proposal itself. When the human applied by hand, ask them for the text they sent and pass it as text with via: "user" — their own wording is the best base for the next proposal, which is what workix_list_applies is for. workix_sync_applies pulls the history back into a fresh local store, and workix_delete_apply (needs confirm: true) removes a row that should not be there — the mirrored job stays in the catalog, since that listing is public board content rather than part of your private log.
| Funnel status | Meaning |
|---|---|
draft | prepared, not sent — excluded from the public counter |
sent → viewed | delivered; the other side opened it |
reply → interview → offer → hired | it is going somewhere |
rejected / closed | over |
Mirroring is not applying. workix_share_jobs writes an outreach row with channel: "hub" so the mirror is auditable, but those rows are catalog copies, not messages to a client. workix_job_state keeps them out of outreach and out of applied, and reports them under hub_share instead — otherwise a reposted card would look like one you had already answered.
Outreach statuses: draft (written, not sent) · sent · ok (confirmed delivered/accepted) · reply (client answered) · skip (decided against it) · blocked (the platform refused — KYC, connects, ban). Log draft when the text is generated, then update the same id to sent/ok once the user approves and it actually goes out.
Session shape: open with workix_checkpoint_get so search resumes instead of restarting; close (or pause, or switch platform) with workix_checkpoint_set carrying what was done, what is next, which surfaces are finished, and what is blocked.
Everything local lives in one SQLite file, $WORKIX_MCP_DATA/workix.db (default mcp/data/): job cards, drafts, the outreach log, checkpoints, hub shares, and the board response cache. It uses node:sqlite, which ships with Node — nothing compiles at install time, but it does mean Node 22.5+.
An existing store.json is imported on first start and renamed to store.json.migrated; the import runs once and the original is left on disk in case you want it back.
Why not the old JSON file. Every read parsed the whole store, so a 13MB file cost ~126ms per call — and wasShownInDigest() sits inside a filter loop, which turned a digest into a minute of pure parsing. It was also unsafe with more than one session: each MCP process did read-modify-write on the same file, so concurrent writes were lost, and a torn write made the loader fall back to an empty store and discard everything on the next save. Measured after the move: 500 wasShownInDigest calls went from ~63s to 9ms.
**The cache is what makes a second se
Only the beginning is shown; read the rest in the repo