Bring Sql
to LlamaIndex
Create your Vinkius account to connect SingleStore to LlamaIndex 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 SingleStore MCP Server?
Grant your AI agent (like Claude or Cursor) absolute read-and-write sovereignty over your SingleStore infrastructure. The SingleStore MCP equips your LLM to act as a fully autonomous database administrator. Stop navigating external dashboards to check schema details or run complex search queries.
What you can do
- Execute SQL Queries — Execute raw SQL natively from your AI agent using
execute_sql. - Semantic Vector Search — Perform semantic vector similarity searches natively against your data with
vector_search. - Workspace & Billing Administration — Survey your server clusters with
list_workspaces, list databases withlist_databases, and audit billing usage viaget_billing_usage.
Built-in capabilities (6)
Use read-only SQL statements whenever possible. Executes a SQL query on a SingleStore database
Retrieves billing and usage metrics
Lists all databases within a specific workspace
Lists organizations associated with the account
Lists all SingleStore workspaces
Performs a DOT_PRODUCT vector similarity search
Why LlamaIndex?
LlamaIndex agents combine SingleStore tool responses with indexed documents for comprehensive, grounded answers. Connect 6 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
- —
Data-first architecture: LlamaIndex agents combine SingleStore tool responses with indexed documents for comprehensive, grounded answers
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Query pipeline framework lets you chain SingleStore tool calls with transformations, filters, and re-rankers in a typed pipeline
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Multi-source reasoning: agents can query SingleStore, a vector store, and a SQL database in a single turn and synthesize results
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Observability integrations show exactly what SingleStore tools were called, what data was returned, and how it influenced the final answer
SingleStore in LlamaIndex
Why run SingleStore with Vinkius?
The SingleStore 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 SingleStore using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
SingleStore and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect SingleStore to LlamaIndex 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
SingleStore for LlamaIndex
Every request between LlamaIndex and SingleStore 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 this execute a DROP TABLE query and delete my database?
Yes! The execute_sql tool executes anything provided. Make sure to embed an API token that possesses read-only or strictly limited privileges to prevent accidental data destruction.
Are semantic vector searches natively supported?
Absolutely. By utilizing the vector_search tool, your agent can issue DOT_PRODUCT evaluations seamlessly without needing external drivers.
Can I request my current billing and invoice costs?
Yes. The get_billing_usage action explicitly pulls billing statements directly to the CLI interface for your specific cluster organization.
How does LlamaIndex connect to MCP servers?
Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
Can I combine MCP tools with vector stores?
Yes. LlamaIndex agents can query SingleStore tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
Does LlamaIndex support async MCP calls?
Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.
BasicMCPClient not found
Install: pip install llama-index-tools-mcp
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