3,400+ MCP servers ready to use
Vinkius
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Bring Relational Database
to LlamaIndex

Learn how to connect Retable to LlamaIndex and start using 10 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

Check Retable StatusCreate RecordDelete RecordGet ProjectGet RecordGet TableList ProjectsList RecordsList TablesUpdate Record
Use with Your AI Agent
Ask AI about this MCP Server
ChatGPT Claude Perplexity

What is the Retable MCP Server?

Connect your Retable account to any AI agent and manage your spreadsheet data through natural conversation.

What you can do

  • Project Management — List and inspect projects
  • Table Access — Browse tables and view schemas
  • Record Operations — List, get, create, update, and delete records
  • Health Check — Verify API connectivity

Built-in capabilities (10)

check_retable_status

Verify API connectivity

create_record

Create a new record

delete_record

Delete a record

get_project

Get project details

get_record

Get record details

get_table

Get table details

list_projects

List all projects

list_records

List records in a table

list_tables

List tables in a project

update_record

Update a record

Why LlamaIndex?

LlamaIndex agents combine Retable tool responses with indexed documents for comprehensive, grounded answers. Connect 10 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 Retable tool responses with indexed documents for comprehensive, grounded answers

  • —

    Query pipeline framework lets you chain Retable tool calls with transformations, filters, and re-rankers in a typed pipeline

  • —

    Multi-source reasoning: agents can query Retable, a vector store, and a SQL database in a single turn and synthesize results

  • —

    Observability integrations show exactly what Retable tools were called, what data was returned, and how it influenced the final answer

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See it in action

Retable in LlamaIndex

AI Agent→Vinkius
High Security·Kill Switch·Plug and Play
Why Vinkius

Retable and 3,400+ other MCP servers. One platform. One governance layer.

Teams that connect Retable 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.

3,400+MCP Servers ready
<40msCold start
60%Token savings
Raw MCP
Vinkius
Server catalogFind and host yourself3,400+ managed
InfrastructureSelf-hostedSandboxed V8 isolates
Credential handlingPlaintext in configVault + runtime injection
Data loss preventionNoneConfigurable DLP policies
Kill switchNoneGlobal instant shutdown
Financial circuit breakersNonePer-server limits + alerts
Audit trailNoneEd25519 signed logs
SIEM log streamingNoneSplunk, Datadog, Webhook
HoneytokensNoneCanary alerts on leak
Custom domainsNot applicableDNS challenge verified
GDPR complianceManual effortAutomated purge + export
Use with Your AI Agent View step-by-step setup guide for LlamaIndex →
Enterprise Security

Why teams choose Vinkius for Retable in LlamaIndex

The Retable 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 10 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.

Use with Your AI Agent View full Retable details →
Retable
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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

The Vinkius Advantage

How Vinkius secures Retable for LlamaIndex

Every tool call from LlamaIndex to the Retable MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

Can my AI create and update records in Retable?

Yes. Use create_record to add new rows and update_record to modify existing ones. Both accept a JSON string with field values.

02

How do I query records from a specific table?

Use list_records with the table ID. The agent returns all rows with their field values.

03

Can I delete records through the AI?

Yes. The delete_record tool permanently removes a row from a table by table ID and record ID.

04

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.

05

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Retable tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.

06

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.

07

BasicMCPClient not found

Install: pip install llama-index-tools-mcp