Bring Federal Jobs
to CrewAI
Learn how to connect USAJOBS (OPM) to CrewAI and start using 4 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the USAJOBS (OPM) MCP Server?
Connect to the official USAJOBS (Office of Personnel Management) database to explore federal career opportunities through your AI agent. This server provides comprehensive access to the federal hiring ecosystem.
What you can do
- Active Job Search — Query live job announcements using keywords, locations, salary ranges, and hiring paths (e.g., Veterans, Students, Public).
- Historic Data Retrieval — Access bulk data for current and past job opportunity announcements (JOAs) for trend analysis or research.
- Detailed Job Analysis — Fetch full text for specific announcements, including detailed summaries, duties, and qualification requirements.
- Reference Data — Retrieve valid codes for occupational series, agency subelements, pay plans, and more to refine your searches.
How it works
- Subscribe to this server
- Enter your USAJOBS API Key and User Agent (email address)
- Start searching for federal roles directly from Claude, Cursor, or any MCP client
Who is this for?
- Job Seekers — Find specific federal roles that match your skills and location without navigating complex search filters manually.
- Career Counselors — Help clients identify federal career paths and understand specific qualification requirements.
- Data Analysts — Analyze federal hiring trends using historic JOA data and occupational series codes.
Built-in capabilities (4)
for historic JOAs. Retrieve long text fields for current and past job postings
No auth required. Retrieve valid values and codes for filtering search results
Supports pagination via continuationtoken. Retrieve bulk data for current and past job postings
You can filter by keyword, location, job category, and more. Search for currently open job announcements on USAJOBS
Why CrewAI?
When paired with CrewAI, USAJOBS (OPM) becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call USAJOBS (OPM) tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.
- —
Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools
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CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the
mcpsparameter and agents auto-discover every available tool at runtime - —
Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls
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Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports
USAJOBS (OPM) in CrewAI
USAJOBS (OPM) and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect USAJOBS (OPM) to CrewAI through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for USAJOBS (OPM) in CrewAI
The USAJOBS (OPM) MCP Server runs on Vinkius-managed infrastructure inside AWS — a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts. All 4 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in CrewAI only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
How Vinkius secures
USAJOBS (OPM) for CrewAI
Every tool call from CrewAI to the USAJOBS (OPM) MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How can I filter jobs by a specific location and salary range?
Use the search_jobs tool. You can provide parameters like LocationName (e.g., 'Washington, DC') and RemunerationMinimumAmount to narrow down the results to your specific needs.
Where can I find the full description of duties for a job posting?
The get_announcement_text tool is designed specifically for this. By providing the announcement number, the agent will retrieve the full text for Summary, Duties, and Qualifications.
How do I know which codes to use for occupational series like IT or Engineering?
You can use the get_code_list tool with the endpoint 'occupationalseries'. This will return a list of all valid codes and their corresponding titles (e.g., 2210 for Information Technology).
How does CrewAI discover and connect to MCP tools?
CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.
Can different agents in the same crew use different MCP servers?
Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.
What happens when an MCP tool call fails during a crew run?
CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.
Can CrewAI agents call multiple MCP tools in parallel?
CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.
Can I run CrewAI crews on a schedule (cron)?
Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.
MCP tools not discovered
Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.
Agent not using tools
Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".
Timeout errors
CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.
Rate limiting or 429 errors
Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.
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