Bring Upskilling
to CrewAI
Create your Vinkius account to connect Degreed to CrewAI and start using all 10 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the Degreed MCP Server?
Integrate Degreed, the leading upskilling and learning experience platform (LXP), directly into your AI workflow. Discover available learning content, monitor employee skill profiles, and track progress across pathways and plans using natural language.
What you can do
- Content Discovery — Search the entire Degreed catalog for courses, articles, and videos matching specific keywords.
- Skill Intelligence — List and review the defined skills taxonomy and individual user skill profiles.
- Learning Oversight — Monitor user completions, active learning plans, and curated pathways.
- User Research — Retrieve detailed metadata and activity summaries for learners in your organization.
How it works
- Connect the Degreed integration to your AI assistant.
- Authorize using your Degreed Client ID and Client Secret (found in your API settings).
- Orchestrate your organization's learning and development through intuitive conversation.
Who is this for?
- L&D Managers — Quickly check learner progress and content availability on the go.
- Talent Partners — Research employee skill sets and identify talent gaps via chat.
- Team Leads — Monitor team learning goals and pathway completions during planning.
Built-in capabilities (10)
Resolves detailed descriptions, associated skill tags, and duration metadata. Get detailed metadata for a specific learning item
Resolves assigned skill ratings, learning progress, and active pathways within the Degreed ecosystem. Get full profile and skill data for a specific user
Identifies users with recent completion activity within the Degreed workspace. List users who have completed learning recently
Returns the standardized list of skills and competencies defined by the organization for talent mapping. List the skills taxonomy defined in your organization
Returns a list of users with metadata including system IDs, professional titles, and organizational affiliations. List all users registered in your Degreed organization
Returns content metadata including titles, providers, content types (e.g., article, video, course), and external URLs. List all available learning content in the Degreed catalog
Returns pathway metadata including objectives, total duration, and completion requirements. List curated learning pathways available to users
Returns active learning plans, including target completion dates and linked competencies. List learning plans and goals configured in the system
Returns a history of all learned items with completion timestamps and earned skill points. List all learning content completed by a specific user
Matches terms against titles, descriptions, and skill tags to return a ranked list of relevant learning materials. Search for learning content by keyword or term
Why CrewAI?
When paired with CrewAI, Degreed becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Degreed tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.
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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
Degreed in CrewAI
Why run Degreed with Vinkius?
The Degreed connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 10 tools are ready to work instantly without any complex setup.
You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.
* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure
Over 4,000 integrations ready for AI agents
Explore a vast library of pre-built integrations, optimized and ready to deploy.
Connect securely in under 30 seconds
Generate tokens to authenticate and link external services in a single step.
Complete visibility into every agent action
Audit live requests, latency, success rates, and active security compliance policies.
Optimize spending and track token ROI
Analyze real-time token consumption and cost metrics detailed by connection.
Explore our live AI Agents Analytics dashboard to see it all working
This dashboard is included when you connect Degreed using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
Degreed and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect Degreed to CrewAI through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.
Raw MCP | Vinkius | |
|---|---|---|
| Ready-to-use MCPs | Find and configure each manually | 4,000+ MCPs ready to use |
| Connection Setup | Manual coding & server setup | 1-click instant connection |
| Server Hosting | You host it yourself (needs 24/7 uptime) | 100% hosted & managed by Vinkius |
| Security & Privacy | Stored in plaintext config files | Bank-grade encrypted vault |
| Activity Visibility | Blind execution (no logs or tracking) | Live dashboard with real-time logs |
| Cost Control | Runaway AI token spend risk | Automatic budget limits |
| Revoking Access | Must delete files or code to stop | 1-click disconnect button |
How Vinkius secures
Degreed for CrewAI
Every request between CrewAI and Degreed is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.
Frequently asked questions
How do I get Degreed API credentials?
Log in to your Degreed admin account, navigate to the API settings section, and create a new application to retrieve your Client ID and Client Secret for OAuth 2.0 authentication.
Can the agent assign learning content?
This integration currently focuses on discovering content and monitoring progress. Assigning content to specific users is managed via the Degreed dashboard or mobile app.
Are skill ratings included?
Yes, when retrieving user profiles, the agent can provide information on skills associated with the user and their current proficiency levels where available.
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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