How to Use the Vectara MCP in Windsurf
Build complex applications with Windsurf's autonomous agent capabilities on Vectara.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Vectara MCP to Windsurf
Create your Vinkius account to connect Vectara to Windsurf and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Grounding Chat Responses
Ask a question and get an answer grounded in your data. The `execute_rag_chat` tool takes corpus keys and your query, returning a summary with specific citations. It keeps you from getting generic answers. This process ensures every response is traceable back to the source material in the specified corpora.
Searching Indexed Data
Need to find data before chatting? Use `perform_semantic_search`. You just list your corpus keys and provide a query text, and it executes a deep search across those datasets. This lets Cascade figure out exactly what you need—it doesn't stop at keywords; it understands the meaning behind your request.
Managing Datasets
Before running anything, check your setup. You can list all available data sources with `list_corpora`, or get deep details on a single one using `get_corpus_details`. If you know exactly what you want, `list_corpus_documents` gives you an inventory of every indexed file within a specific corpus.
Set up Vectara MCP in Windsurf
Prerequisites
- Windsurf IDE installed (macOS, Windows, or Linux)
- Active Vinkius subscription with a valid endpoint token
- 1
Open MCP configuration
Click the Cascade assistant icon in the sidebar, then click the hammer icon (🔨) at the top of the panel. Select "Configure" to open
~/.codeium/windsurf/mcp_config.json. - 2
Add the Vectara MCP
Paste the JSON snippet shown on the right into the
mcpServersobject. Replace[YOUR_TOKEN_HERE]with your endpoint token from cloud.vinkius.com. - 3
Refresh MCPs
Go back to the hammer icon (🔨) in Cascade and click "Refresh". Windsurf will detect the new server. No full restart is needed — the connection is hot-reloaded.
- 4
Verify in Cascade
Start a new Cascade conversation and ask something like "Show my Vectara payment history." If connected, Cascade will call the Vectara tools directly. You will see a green dot next to the server name in the MCP panel.
{
"mcpServers": {
"vectara-mcp": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Vectara. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about Vectara MCP in Windsurf
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
Start using the Vectara MCP today
We host it, we monitor it, we maintain it. You just paste one token.
