watsonx Discovery Connector for AI agents.
6 live capabilities
Query and analyze enterprise knowledge with cognitive search.
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Why people use watsonx Discovery
Watsonx Discovery for Enterprise Cognitive Search Analytics
This Connector changes the game by bringing that data directly into your chat. You can ask your agent to find the latest safety protocols and it handles the DQL and collection filtering for you. You get the answer in seconds without ever opening a browser tab.
What Vinkius changes
That you get a conversational interface for your entire cognitive search environment.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Legal document review
A legal team needs to find all termination clauses in a 'Contracts' collection.
- Real-world use case 02
Knowledge base summarization
A support lead wants a summary of common issues in a 'Knowledge Base' collection.
- Real-world use case 03
Ingestion health auditing
A data scientist needs to check if a new batch of documents was ingested correctly.
Complete set · 6capabilities
The complete watsonx Discovery capability set.
These are the exact actions your AI can choose when you ask it to work with watsonx Discovery.
01—03
3 capabilities in this set.
Part of 6 available through watsonx Discovery.
- 01 Capability
Get document details
Pull up specific metadata and ingestion status for any indexed document. This helps you verify if a file was processed correctly.
- 02 Capability
Get component settings
View the configuration and health of your project components. Use this to troubleshoot issues with your discovery environment.
- 03 Capability
List discovery collections
See every data collection within your current project. It is the quickest way to get your collection IDs.
04—06
3 capabilities in this set.
Part of 6 available through watsonx Discovery.
- 04 Capability
List collection documents
See every document inside a specific collection. This helps you understand the scope of what your agent can see.
- 05 Capability
List available enrichments
Check which NLP models like sentiment or entities are currently active. You can use this to see how your data is being analyzed.
- 06 Capability
Query discovery content
Run natural language or DQL queries against your data. This is the primary way your agent fetches actual information for you.
Set up in minutes
One URL. Then ask watsonx Discovery to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use watsonx Discovery from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_MOvCoAeU4n0XLtoAj5AMd7HKRadaRJgAFtxeD6Bh/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it watsonx Discovery, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable watsonx Discovery for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_MOvCoAeU4n0XLtoAj5AMd7HKRadaRJgAFtxeD6Bh/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the watsonx Discovery URL.
- Step 03
Save and start
Save the connection and enable watsonx Discovery in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"watsonx-discovery": {
"url": "https://edge.vinkius.com/vk_preview_MOvCoAeU4n0XLtoAj5AMd7HKRadaRJgAFtxeD6Bh/mcp"
}
}
} - Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using watsonx Discovery
Open Agent mode in chat and ask: "Using watsonx Discovery, help me...". 6 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"watsonx-discovery": {
"url": "https://edge.vinkius.com/vk_preview_MOvCoAeU4n0XLtoAj5AMd7HKRadaRJgAFtxeD6Bh/mcp"
}
}
} - Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using watsonx Discovery
Ask Copilot: "Using watsonx Discovery, help me...". 6 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"watsonx-discovery": {
"url": "https://edge.vinkius.com/vk_preview_MOvCoAeU4n0XLtoAj5AMd7HKRadaRJgAFtxeD6Bh/mcp"
}
}
} - Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using watsonx Discovery
Open Cascade and ask: "Using watsonx Discovery, help me...". 6 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"watsonx-discovery": {
"url": "https://edge.vinkius.com/vk_preview_MOvCoAeU4n0XLtoAj5AMd7HKRadaRJgAFtxeD6Bh/mcp"
}
}
} - Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using watsonx Discovery
Ask Cline: "Using watsonx Discovery, help me...". 6 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add watsonx-discovery --transport http "https://edge.vinkius.com/vk_preview_MOvCoAeU4n0XLtoAj5AMd7HKRadaRJgAFtxeD6Bh/mcp" - Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using watsonx Discovery
Ask Claude: "Using watsonx Discovery, show me...". 6 tools are ready
Where the request belongs
Work watsonx Discovery can move forward.
For knowledge managers and developers who are tired of manual data retrieval and want to turn static archives into active knowledge.
Knowledge Analyst
Auditing NLP enrichments and searching for specific clauses in large legal repositories.
Enterprise Developer
Building grounded AI applications using semantic search and ingestion pipelines.
Data Scientist
Refining DQL queries and monitoring data ingestion health through chat.
Product Manager
Checking project health and monitoring the performance of internal search features.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
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Search the web for AI. audit search context, answers, and extracted content via AI.
Lucidworks Fusion (AI Search & Discovery)
Manage AI-powered search via Lucidworks Fusion. execute semantic queries, index documents, and monitor ML training jobs.
Swiftype
Connect your AI to Elastic Swiftype. Query your search engines, manage documents, and retrieve deep analytical insights natively from the terminal.
Jina AI
Search and read the web for AI. audit search results and reader content via AI.
Bring your own AI
Change the model, client or framework. Keep watsonx Discovery connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about watsonx Discovery.
The practical details behind the request, access and result.
How does watsonx Discovery help with large data?
It connects your massive data repositories to your AI agent, allowing you to query them using natural language instead of complex manual searches.
Can I use watsonx Discovery for sentiment analysis?
Yes, the Connector allows your agent to check which NLP enrichments, like sentiment analysis, are active and being applied to your data.
How do I check if my documents were ingested?
You can ask your agent to check the status of specific documents, and it will retrieve the ingestion status and metadata for you.
Can I search using plain English?
Yes, this Connector enables your agent to perform both natural language queries and DQL queries against your discovery collections.
How do I see my project health?
Your agent can verify project-level configurations and health settings for all your project components through simple chat commands.
Is watsonx Discovery good for enterprise search?
It is specifically designed for enterprise-grade cognitive search, making it ideal for searching unstructured data like contracts and manuals.
Can I query my data collections using natural language?
Yes. The query_discovery_content capability 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 capability 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 capability, you can check the ingestion status and technical metadata for any specific document ID, ensuring your data is correctly indexed and searchable.
One connection away
Give your agent a direct line to watsonx Discovery.
Connect watsonx Discovery once. Keep it beside 5,900+ managed Connectors when the next task needs more.
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