Workorai

Name: Workorai
Author: work0r-ai

by work0r-aiversion 0.4.3i★ –iRuns in the cloud

Registry nameio.github.work0r-ai/workorai

Install

Overview

Description from the maker (original English)

WorkorAI talent marketplace MCP: candidate job search and employer hiring with explainable matching

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: Search & AI memory

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?

ClaudeClaude CodeCursorVS CodeChatGPT

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://workorai.com/mcp

Run this in your terminal

claude mcp add --transport http workorai https://workorai.com/mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "workorai": {
      "url": "https://workorai.com/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.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "workorai": {
      "type": "http",
      "url": "https://workorai.com/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://workorai.com/mcp

Menu 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 with the GitHub account work0r-ai, 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 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 Search & AI memoryi

More stars than 0% of the other 7264 servers in this category
Published to the registry more recently than 19% of the other 7264 servers in this category
Basic checks equal to or better than 100% of the other 7264 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 Workorai 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 (0.4.3) reached the registry 4 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: Context7, Codebase Memory, Exa

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

Context7

by upstash

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

Computer or cloud★ 64,224MITUpdated yesterday

Install

Codebase Memory

by DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

Runs on your computer★ 48,148MITUpdated 21 days ago

Install

Exa

by exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

Runs in the cloud★ 5,213MITUpdated last month

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.

WorkorAI Agent Kit

WorkorAI Agent Kit packages the workorai Agent Skill and a zero-dependency installer for WorkorAI MCP talent marketplace workflows.

It supports both sides of the marketplace through one skill:

Candidates ask prompts like найди мне работу, find me a job, or help me get hired; the skill guides them through onboarding, MCP key setup, and the candidate match tools.
Employers ask prompts like найди кандидатов, hire developers, post a job, or review applicants; the skill walks through the 19-tool employer MCP surface (job lifecycle, candidate discovery, invitations, applicants review).

Both roles share one skill name (workorai) and one credential helper, with role-aware storage slots so a dual-role user can keep both keys.

Install

Install the skill and write MCP config for supported local agents:

npx @workorai/agent-kit install

Install for one client:

npx @workorai/agent-kit install --agent codex

npx @workorai/agent-kit install --agent claude npx @workorai/agent-kit install --agent opencode npx @workorai/agent-kit install --agent cursor npx @workorai/agent-kit install --agent openclaw npx @workorai/agent-kit install --agent qwen npx @workorai/agent-kit install --agent antigravity npx @workorai/agent-kit install --agent deepcode

Use a local development MCP endpoint:

npx @workorai/agent-kit install --endpoint http://127.0.0.1:3001/mcp

For isolated installer tests, set WORKORAI_AGENT_HOME to a temporary directory:

WORKORAI_AGENT_HOME=/tmp/workorai-agent-home npx @workorai/agent-kit install

After install, restart the agent client and ask:

find me a job

What Is Included

skills/workorai/SKILL.md - canonical Agent Skill (thin role router).
skills/workorai/agents/openai.yaml - Codex/OpenAI-style UI metadata.
skills/workorai/references/
candidate-catalog.md - candidate tool mini-schemas
candidate-recipes.md - candidate calling-order recipes (incl. the Agent Pick result presentation)
candidate-troubleshooting.md - candidate-side error scenarios
employer-catalog.md - 19 employer tool mini-schemas
employer-recipes.md - hire / review / lifecycle recipes
employer-troubleshooting.md - employer-side error scenarios
auth-flow.md - candidate and employer onboarding + saved-key flow
troubleshooting.md - cross-role MCP transport / saved-key issues
skills/workorai/scripts/credential-store.mjs - role-aware consent-based local MCP key storage.
bin/workorai-agent.mjs - installer, MCP config writer, diagnostics, and credential command wrapper.

Supported Targets

Agent target	Skill location	MCP config
`codex`	`~/.codex/skills/workorai`	`~/.codex/config.toml`
`claude`	`~/.claude/skills/workorai`	`~/.claude.json`
`opencode`	`~/.config/opencode/skills/workorai`	`~/.config/opencode/config.json`
`cursor`	`~/.cursor/skills/workorai`	Use WorkorAI MCP config supported by your Cursor setup
`openclaw`	`~/.agents/skills/workorai`	`~/.agents/mcp.json`
`qwen`	`~/.qwen/skills/workorai`	Configure MCP according to your Qwen Code setup
`antigravity`	`~/.gemini/antigravity/skills/workorai`	Configure MCP according to your Antigravity setup
`deepcode`	`~/.agents/skills/workorai`	`~/.agents/mcp.json`
`generic`	`~/.agents/skills/workorai`	`~/.agents/mcp.json`

The default install command installs a canonical copy at ~/.agents/skills/workorai and links or copies compatible client locations.

Commands

npx @workorai/agent-kit --help

npx @workorai/agent-kit install --dry-run npx @workorai/agent-kit configure --agent all npx @workorai/agent-kit print-config --agent codex npx @workorai/agent-kit doctor --agent all npx @workorai/agent-kit credential get

Credentials

The skill reads WorkorAI MCP keys role-aware. Default --role is candidate; pass --role=employer for the employer slot.

Candidate read order:

WORKORAI_MCP_API_KEY
OS secret store (account candidate)
Shared local fallback at ~/.config/workorai/mcp-token

Employer read order:

WORKORAI_EMPLOYER_MCP_API_KEY
OS secret store (account employer)
Shared local fallback at ~/.config/workorai/mcp-token-employer

Save with OS storage by default:

npx @workorai/agent-kit credential save                  # candidate (default)

npx @workorai/agent-kit credential save --role=employer

Use best-effort storage for headless agent sessions:

npx @workorai/agent-kit credential save --best-effort --role=candidate

npx @workorai/agent-kit credential save --best-effort --role=employer

Use the shared file fallback only after explicit user consent:

npx @workorai/agent-kit credential save --shared-file --role=<role>

Never put real WorkorAI MCP keys in repositories, screenshots, issue text, or MCP config. Redact keys as wai_[REDACTED].

Skill Hub Compatibility

This repository is structured for direct ingestion by major skill surfaces:

GitHub: readable standalone repository with license, security policy, CI, and contribution docs.
npm: @workorai/agent-kit CLI package for one-command install.
Codex/OpenAI-style skills: canonical folder at skills/workorai plus agents/openai.yaml.
Claude Code: standard SKILL.md folder installable into .claude/skills/ or ~/.claude/skills/.
OpenCode: standard SKILL.md folder installable into .opencode/skills/, ~/.config/opencode/skills/, or Claude-compatible locations.
Cursor: standard SKILL.md folder installable into .cursor/skills/ or ~/.cursor/skills/.
Qwen Code: standard SKILL.md folder installable into .qwen/skills/ or ~/.qwen/skills/.
Antigravity / Gemini Antigravity: standard SKILL.md folder installable into ~/.gemini/antigravity/skills/.
Deep Code / DeepSeek: standard SKILL.md folder installable into .deepcode/skills/ or the shared ~/.agents/skills/.
skills.re and similar registries: root skills/ folder with at least one skill directory.
Cursor/Windsurf-compatible hubs: canonical SKILL.md folder plus generic MCP config notes in registry/.

Submission notes live in registry/submission-checklist.md.

Candidate Onboarding

When personalized MCP access is not available, the skill guides the user through:

Register and sign in: https://workorai.com/candidate/login
Complete profile: https://workorai.com/candidate/profile
Complete the profile interview and wait for evaluation.
Generate or copy the MCP key: https://workorai.com/candidate/home?tab=mcp
Paste the key into the agent session for immediate candidate.search_jobs use.

Employer Onboarding

When the user asks to hire, post jobs, or review candidates, the skill guides them through:

Sign in: https://workorai.com/employer/login
Open the Employer Dashboard and locate the Employer MCP card: https://workorai.com/employer/dashboard
Generate or copy the MCP key from the card.
Paste the key into the agent session for immediate employer.* tool use.
Save with --role=employer for future hiring searches.

The 19 employer tools cover the full hire-to-review lifecycle. See skills/workorai/references/employer-catalog.md for the mini-schemas and skills/workorai/references/employer-recipes.md for the four calling-order recipes (hire from a specific job, free-form hire, funnel review, pending-invites cleanup) plus the job lifecycle (create → publish → close → archive).

Development

npm run validate

npm run smoke npm pack --dry-run

npm run smoke installs into a temporary directory only and does not touch user agent config.

Release

Update CHANGELOG.md.
Run validation, smoke, and npm pack --dry-run.
Tag the GitHub release.
Publish npm:

npm publish --access public

Submit the repository URL to relevant skill hubs using registry/submission-checklist.md.

License

MIT. See LICENSE.

Workorai

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Search & AI memoryi

Common questions

Alternatives

Context7

Codebase Memory

Exa

README from the maker

WorkorAI Agent Kit

Install

What Is Included

Supported Targets

Commands

Credentials

Skill Hub Compatibility

Candidate Onboarding

Employer Onboarding

Development

Release

License