3,400+ MCP servers ready to use
Vinkius

Bring Relational Database
to LangChain

Learn how to connect Retable to LangChain 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 LangChain?

LangChain's ecosystem of 500+ components combines seamlessly with Retable through native MCP adapters. Connect 10 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

  • —

    The largest ecosystem of integrations, chains, and agents. combine Retable MCP tools with 500+ LangChain components

  • —

    Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

  • —

    LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

  • —

    Memory and conversation persistence let agents maintain context across Retable queries for multi-turn workflows

See it in action

Retable in LangChain

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 LangChain 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 LangChain →
Enterprise Security

Why teams choose Vinkius for Retable in LangChain

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 LangChain 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 LangChain

Every tool call from LangChain 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 LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

05

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.

06

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.

07

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters