Bring Cognitive Search
to CrewAI
Create your Vinkius account to connect watsonx Discovery to CrewAI and start using all 6 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 watsonx Discovery MCP Server?
Connect your IBM watsonx Discovery account to any AI agent and harness the power of cognitive search and NLP-driven text analytics through natural conversation.
What you can do
- Cognitive Search — Perform natural language or Discovery Query Language (DQL) queries against your data collections for high-quality semantic search
- Data Discovery — Browse and list all data collections within your project to retrieve collection and document IDs
- Document Analysis — Retrieve comprehensive metadata, ingestion status, and technical details for specific indexed documents
- NLP Enrichments — List and monitor available enrichments (NLP models) like Sentiment, Entities, and Keywords being applied to your data
- Component Health — Verify project-level configurations, ingestion notices, and health settings for all project components
- Semantic Insights — Surface relevant information and hidden patterns from massive unstructured datasets through simple chat commands
How it works
- Subscribe to this server
- Enter your watsonx URL, API Key, and Project ID
- Start querying your cognitive data collections through Claude, Cursor, or any MCP-compatible client
No more manual digging through complex IBM Cloud consoles to query your data. Your AI agent becomes your cognitive data scientist.
Who is this for?
- Enterprise Developers — build grounded AI applications using Discovery's semantic search and ingestion pipelines
- Knowledge Analysts — quickly surface information from large document repositories and audit NLP enrichments
- Data Scientists — test and refine DQL queries and monitor data ingestion status through chat
- Product Teams — implement AI-powered search features and monitor the health of your discovery project
Built-in capabilities (6)
Retrieves the configuration and health settings for project components
Retrieves metadata and status for a specific indexed document
g., Sentiment, Entities) are being applied to documents. Lists all enrichments (NLP models) configured for the project
Lists all documents indexed within a specific collection
Lists all data collections within the current watsonx Discovery project
Provide a collection ID and the query text. Performs a natural language or DQL query against a discovery collection
Why CrewAI?
When paired with CrewAI, watsonx Discovery becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call watsonx Discovery 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
- —
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
- —
Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports
watsonx Discovery in CrewAI
Why run watsonx Discovery with Vinkius?
The watsonx Discovery 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 6 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 watsonx Discovery using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
watsonx Discovery and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect watsonx Discovery 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
watsonx Discovery for CrewAI
Every request between CrewAI and watsonx Discovery 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
Can I query my data collections using natural language?
Yes. The query_discovery_content tool allows your AI agent to perform natural language queries against your watsonx Discovery collections, returning highly relevant results based on IBM's cognitive search engine.
How do I see what NLP models are being applied to my documents?
Use the list_available_enrichments tool to see all NLP enrichments (like Sentiment, Entity Extraction, or Category Classification) configured for your project and applied during the ingestion pipeline.
Can I monitor the ingestion status of a specific document?
Absolutely. Using the get_document_details tool, you can check the ingestion status and technical metadata for any specific document ID, ensuring your data is correctly indexed and searchable.
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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