Bring Vector Database
to LlamaIndex
Create your Vinkius account to connect Oracle Vector DB to LlamaIndex and start using all 7 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.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the Oracle Vector DB MCP Server?
Bring your Oracle Database 23ai vector capabilities directly into your AI agent workflow. Run VECTOR_DISTANCE similarity searches, inspect table schemas, execute SQL queries, and manage vector indexes — all through natural conversation.
What you can do
- Vector Similarity Search — Execute native Oracle 23ai VECTOR_DISTANCE queries with cosine or Euclidean metrics against any table with VECTOR columns
- Schema Inspection — List all tables in your schema and describe column types, spotting VECTOR-enabled columns for embedding storage
- SQL Execution — Run arbitrary SQL queries against Oracle via ORDS for ad-hoc analysis and data retrieval
- Vector Index Management — List all HNSW and IVF vector indexes instantiated across your tables
- Table Statistics — Get row counts and optimizer stats for capacity planning and query performance tuning
- Version Check — Verify your Oracle runtime version to confirm 23ai vector feature compatibility
How it works
- Subscribe to this server
- Enter your Oracle ORDS URL, Schema, Username, and Password
- Start querying your vector store from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Enterprise data teams — run vector searches against production Oracle databases without context-switching to SQL Developer
- ML engineers — test embedding queries on Oracle 23ai's native vector engine during RAG pipeline development
- DBAs — inspect vector indexes, table stats, and schema configurations through conversation
Built-in capabilities (7)
Describe table columns and explicit data types including VECTORs
WARNING: Output payload size is inherently limited, restrict rows fetched (FETCH FIRST 100 ROWS ONLY) to ensure stability. Execute arbitrary SQL query against the Oracle runtime via ORDS
Get exact Oracle DB Runtime version banner
List accessible tables in the current Oracle schema
List specialized AI Vector search indexes (HNSW, IVF) instantiated
Get table cardinality and optimizer statistics
1, -0.4, 0.5]` against a strict `VECTOR` column natively inside Oracle DB, sorting and fetching the nearest neighbors. Execute Vector similarity search via Oracle 23ai native VECTOR_DISTANCE
Why LlamaIndex?
LlamaIndex agents combine Oracle Vector DB tool responses with indexed documents for comprehensive, grounded answers. Connect 7 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.
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Data-first architecture: LlamaIndex agents combine Oracle Vector DB tool responses with indexed documents for comprehensive, grounded answers
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Query pipeline framework lets you chain Oracle Vector DB tool calls with transformations, filters, and re-rankers in a typed pipeline
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Multi-source reasoning: agents can query Oracle Vector DB, a vector store, and a SQL database in a single turn and synthesize results
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Observability integrations show exactly what Oracle Vector DB tools were called, what data was returned, and how it influenced the final answer
Oracle Vector DB in LlamaIndex
Why run Oracle Vector DB with Vinkius?
The Oracle Vector DB 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 7 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 Oracle Vector DB using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
Oracle Vector DB and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect Oracle Vector DB 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
Oracle Vector DB for LlamaIndex
Every request between LlamaIndex and Oracle Vector DB 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
Does it work with Oracle Autonomous Database?
Yes. Oracle Autonomous Database on OCI has ORDS enabled by default. Use the ORDS URL from your ADB instance (e.g., https://xxxxx.adb.us-ashburn-1.oraclecloudapps.com/ords), your schema name (typically ADMIN), and the admin credentials. The VECTOR type is available on all 23ai-compatible instances.
Can I run arbitrary SQL — not just vector searches?
Yes. The execute_sql_query tool accepts any valid Oracle SQL statement and returns results through ORDS. Add FETCH FIRST N ROWS ONLY to keep payloads manageable. This makes the agent useful for relational queries too, not just vector operations.
Which distance metrics are available for vector search?
Oracle 23ai supports COSINE and EUCLIDEAN (L2) distance metrics natively via VECTOR_DISTANCE. Specify the metric when running a search — cosine is recommended for most text embedding use cases, while L2 works better for image or audio embeddings.
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 Oracle Vector DB 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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