Agent Kit MCP Server

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 18-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 - 18 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

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:

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

Employer read order:

1. WORKORAI_EMPLOYER_MCP_API_KEY
2. OS secret store (account employer)
3. 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:

1. Register and sign in: https://workorai.com/candidate/login
2. Complete profile: https://workorai.com/candidate/profile
3. Complete the profile interview and wait for evaluation.
4. Generate or copy the MCP key: https://workorai.com/candidate/home?tab=mcp
5. 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:

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

The 18 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

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

npm publish --access public

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

License

MIT. See LICENSE.