- AUDIT
- INSPECT
- CLEANUP
- HUMAN
Short answer
How can I manage Vectara datasets with my AI?
Your AI acts as a direct interface for your Vectara account. It can pull lists of your corpora, inspect specific documents, and delete files you no longer need. You get full visibility into your indexed data through natural language.
Where every change lands.
Data management outcomes
Your AI handles the heavy lifting of data auditing and cleanup.
AUDIT
Full corpus visibility
The AI pulls a complete list of your indexed corpora. You can see exactly what is stored in your Vectara account.
INSPECT
Document-level detail
Get specific metadata and details for individual files. This helps you verify if the right information is indexed.
CLEANUP
Targeted file removal
Identify and remove specific documents from your corpora. This keeps your search results relevant and clean.
HUMAN
Final decision making
The AI identifies what to delete, but you decide when to pull the trigger. You maintain total control over your data integrity.
The workflow
What your AI does when the request arrives.
The AI translates your plain English commands into direct Vectara operations.
Inventory check
The AI scans your account to find all available data collections.
list_corporaContent inspection
It looks inside a specific collection to see which files are currently indexed.
list_corpus_documentsMetadata retrieval
The AI pulls deep details about a specific corpus to check its configuration.
get_corpus_detailsData purging
The AI removes specific files from a corpus based on your instructions.
delete_corpus_document
Try it
Copy these to start.
Use these prompts to begin managing your data.
Starting points
Swap out the names of your corpora or specific document IDs to match your actual Vectara setup.
Vectara Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_P55Xdk6UU5XMN3cdVPORquufduaGCfpEWSemsNQg/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — Vectara capabilities are ready to use.
{
"mcpServers": {
"vectara-mcp": {
"url": "https://edge.vinkius.com/vk_preview_P55Xdk6UU5XMN3cdVPORquufduaGCfpEWSemsNQg/mcp"
}
}
}List all my Vectara corpora so I can see what I have.
Show me all the documents inside my 'customer_support_docs' corpus.
Give me the details for the 'product_manual_v2' corpus.
Delete the document with ID 'doc_98765' from my main corpus.
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect Vectara once, then ask.
Just link your account once. Your credentials stay encrypted, and you can immediately start managing your data through your preferred AI client.
Connect Vectara to your AIFAQ
How this task behaves.
- 01
Can the AI create new corpora for me?
No. This Connector is designed for listing, inspecting, and deleting existing data.
- 02
Will the AI delete my entire corpus by accident?
No. The tools only allow for deleting individual documents, not entire corpora.
- 03
Does the AI decide which files are old enough to delete?
No. The AI can identify files based on your criteria, but you must explicitly tell it to delete a specific document.
- 04
Can I see the actual text content of the documents?
No. The AI can list documents and get their metadata, but it does not have a tool to read the full text content of the files.
- 05
Can I use this to upload new files to Vectara?
No. This Connector does not include tools for uploading or creating new documents.
More questions about Vectara? The Connector page answers them. See everything the Vectara Connector can do
Connect Vectara to Claude, Cursor, ChatGPT & more
