Bring Cognitive Search
to LangChain
Create your Vinkius account to connect watsonx Discovery to LangChain 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.
Compatible with every major AI agent and IDE
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 LangChain?
LangChain's ecosystem of 500+ components combines seamlessly with watsonx Discovery through native MCP adapters. Connect 6 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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The largest ecosystem of integrations, chains, and agents. combine watsonx Discovery MCP tools with 500+ LangChain components
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Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
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LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
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Memory and conversation persistence let agents maintain context across watsonx Discovery queries for multi-turn workflows
watsonx Discovery in LangChain
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 LangChain 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 LangChain
Every request between LangChain 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 LangChain connect to MCP servers?
Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
Which LangChain agent types work with MCP?
All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
Can I trace MCP tool calls in LangSmith?
Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.
MultiServerMCPClient not found
Install: pip install langchain-mcp-adapters
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