Bring Time Series
to LlamaIndex
Learn how to connect QuestDB (Time-Series) to LlamaIndex and start using 4 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the QuestDB (Time-Series) MCP Server?
Connect your QuestDB instance to any AI agent to perform high-speed time-series analysis and data management using natural language.
What you can do
- SQL Execution — Run complex SQL queries, DDL, and DML operations optimized for time-series data.
- High-Speed Ingestion — Import tabular data (CSV/TSV) directly into tables with automatic schema creation and partitioning.
- Data Export — Extract large datasets in CSV or Parquet formats for external analysis or reporting.
- Health Monitoring — Instantly check server status and version information to ensure your database is operational.
How it works
- Subscribe to this server
- Provide your QuestDB URL and optional credentials (Username/Password or Token)
- Start querying and managing your time-series data from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Data Engineers — Quickly inspect table schemas, run migrations, and verify data ingestion pipelines.
- Analysts — Perform ad-hoc time-series analysis and export results without writing complex scripts.
- DevOps Teams — Monitor database health and perform maintenance tasks through a conversational interface.
Built-in capabilities (4)
Use this for standard SELECT, INSERT, or DDL operations. Execute SQL statements (queries, DDL, DML) on QuestDB
Useful for extracting large datasets. Export query results as CSV or Parquet
Automatically creates tables and columns if they do not exist. Import tabular data (CSV, TSV) into a table
Health check and version information
Why LlamaIndex?
LlamaIndex agents combine QuestDB (Time-Series) tool responses with indexed documents for comprehensive, grounded answers. Connect 4 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 QuestDB (Time-Series) tool responses with indexed documents for comprehensive, grounded answers
- —
Query pipeline framework lets you chain QuestDB (Time-Series) tool calls with transformations, filters, and re-rankers in a typed pipeline
- —
Multi-source reasoning: agents can query QuestDB (Time-Series), a vector store, and a SQL database in a single turn and synthesize results
- —
Observability integrations show exactly what QuestDB (Time-Series) tools were called, what data was returned, and how it influenced the final answer
QuestDB (Time-Series) in LlamaIndex
QuestDB (Time-Series) and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect QuestDB (Time-Series) to LlamaIndex through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for QuestDB (Time-Series) in LlamaIndex
The QuestDB (Time-Series) MCP Server runs on Vinkius-managed infrastructure inside AWS — a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts. All 4 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in LlamaIndex only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
How Vinkius secures
QuestDB (Time-Series) for LlamaIndex
Every tool call from LlamaIndex to the QuestDB (Time-Series) MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I execute standard SQL queries and DDL commands like creating tables?
Yes! Use the execute_sql tool to run any valid QuestDB SQL statement, including SELECT, INSERT, and table definitions. You can also include parameters like explain to see the execution plan.
How do I import a CSV file into a new or existing table?
Use the import_data tool. Provide the target table name and the raw CSV data. The tool can automatically create the table structure and handle partitioning if specified.
Is there a way to export large query results for use in other tools?
Absolutely. The export_data tool allows you to run a query and receive the output in CSV or Parquet format, which is ideal for large-scale data extraction.
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 QuestDB (Time-Series) 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
Explore More MCP Servers
View all →
Unkey API Management
8 toolsManage and verify your user API keys via Unkey — create, revoke, and track usage directly from any AI agent.
Tyk
12 toolsManage your Tyk API Gateway and Dashboard — create keys, manage security policies, and list API definitions via natural language.
ReferralHero
12 toolsAutomate viral referral campaigns via ReferralHero — manage subscribers, rewards, and leaderboards with AI.
Microsoft App Store
8 toolsManage your Microsoft Store apps — track submissions, add-ons, and package flights via the Submission API.