Bring Sql Database
to LlamaIndex
Learn how to connect Directus to LlamaIndex and start using 16 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the Directus MCP Server?
Connect your Directus instance to any AI agent and manage your content database through natural conversation.
What you can do
- Collection Management — List all data collections with field counts and inspect individual collection schemas
- Content CRUD — Create, read, update, and delete items in any collection using JSON payloads
- Search & Query — Search items within collections by keyword to find specific content quickly
- Schema Inspection — List all fields and their data types for any collection to understand your data model
- File Management — Browse uploaded files and retrieve metadata for specific assets
- User & Role Management — List all users with roles and status, view role configurations, and check your own profile
- Audit Trail — Access the activity log of recent database operations for compliance and debugging
How it works
1. Subscribe to this server
2. Enter your Directus Static Token from your user profile in the Data Studio
3. Start managing your content from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Content Teams — create, update, and search content items across collections without opening the Directus dashboard
- Developers — inspect collection schemas, manage fields, and debug data issues through conversational AI
- Administrators — audit user activity, manage roles, and monitor database operations
Built-in capabilities (16)
Verify connectivity
Create an item
Delete an item
Get collection details
Get file details
Get item details
Get current user
List recent activity
List collections
List fields
List files
List items
List roles
List users
Search items
Update an item
Why LlamaIndex?
LlamaIndex agents combine Directus tool responses with indexed documents for comprehensive, grounded answers. Connect 16 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 Directus tool responses with indexed documents for comprehensive, grounded answers
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Query pipeline framework lets you chain Directus tool calls with transformations, filters, and re-rankers in a typed pipeline
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Multi-source reasoning: agents can query Directus, a vector store, and a SQL database in a single turn and synthesize results
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Observability integrations show exactly what Directus tools were called, what data was returned, and how it influenced the final answer
Directus in LlamaIndex
Directus and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Directus 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 | 3,400+ 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 Directus in LlamaIndex
The Directus 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 16 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
Directus for LlamaIndex
Every tool call from LlamaIndex to the Directus MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I create, update, and delete content items in any collection?
Yes! Use create_item with a collection name and JSON payload to add new items. Use update_item with the collection, item ID, and updated fields to modify existing items. Use delete_item to remove items. All operations respect the permissions assigned to your Static Token's user role.
How does Directus authentication work with a Static Token?
Directus uses a non-expiring Static Token associated with a specific user account. Generate it from your User Profile in the Data Studio. The token is sent as a Bearer token in the Authorization header. Its permissions match the role assigned to that user — use an admin role for full access or a restricted role for read-only operations.
Can I audit what changes have been made to my database?
Yes. The list_activity tool retrieves the audit log of recent database operations, showing who made changes, which collections were affected, timestamps, and the type of operation (create, update, delete). Combine with list_users and list_roles for full accountability tracking.
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 Directus 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