3,400+ MCP servers ready to use
Vinkius

Bring Seatable
to Vercel AI SDK

Learn how to connect SeaTable to Vercel AI SDK and start using 11 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

Create RowCreate TableDelete RowGet Base MetadataGet RowList ColumnsList RowsList TablesList ViewsQuery SqlUpdate Row
Use with Your AI Agent
Ask AI about this MCP Server
ChatGPT Claude Perplexity

What is the SeaTable MCP Server?

Connect your SeaTable account to any AI agent and take full control of your database orchestration and collaborative workflows through natural conversation. SeaTable combines the power of a professional database with the ease of use of a spreadsheet, and this integration allows you to retrieve row metadata, append new records, and perform complex SQL queries directly from your chat interface.

What you can do

  • Database & Row Orchestration — List, create, and update rows programmatically to keep your collaborative data always synchronized.
  • SQL Query Intelligence — Perform advanced data filtering and aggregation using standard SQL syntax directly from the AI interface.
  • Table & Metadata Control — Access base metadata and list tables to maintain a clear overview of your digital workspace via natural language.
  • Automation & Token Oversight — The integration automatically handles the complex exchange of permanent API tokens for short-lived access tokens to ensure secure data operations.
  • Operational Monitoring — Track system activity and manage database records using simple AI commands to streamline your business workflows.

How it works

1. Subscribe to this server
2. Enter your SeaTable API Token and Server URL (optional) from your base settings
3. Start managing your collaborative databases from Claude, Cursor, or any MCP-compatible client

No more manual copy-pasting or complex filter building. Your AI acts as a dedicated database administrator or operations coordinator.

Who is this for?

  • Project Managers — quickly retrieve task statuses and update project timelines without switching browser tabs.
  • Operations Teams — automate the ingestion of new data records and perform aggregate queries via natural conversation.
  • Data Engineers — streamline the retrieval of base metadata and monitor database structures directly within the chat.

Built-in capabilities (11)

create_row

Pass row data as a JSON string. Add a new row to a table

create_table

Create a new table

delete_row

Delete a row from a table

get_base_metadata

Get metadata for the current base

get_row

Get a specific row from a table

list_columns

List all columns in a table

list_rows

List all rows in a table

list_tables

List all tables and columns

list_views

List all views for a table

query_sql

Query data using SQL

update_row

Update an existing row

Why Vercel AI SDK?

The Vercel AI SDK gives every SeaTable tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 11 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

  • —

    TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

  • —

    Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same SeaTable integration everywhere

  • —

    Built-in streaming UI primitives let you display SeaTable tool results progressively in React, Svelte, or Vue components

  • —

    Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

See it in action

SeaTable in Vercel AI SDK

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

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

Teams that connect SeaTable to Vercel AI SDK 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 Vercel AI SDK →
Enterprise Security

Why teams choose Vinkius for SeaTable in Vercel AI SDK

The SeaTable 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 11 tools execute in hardened sandboxes optimized for native MCP execution.

Your AI agents in Vercel AI SDK 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 SeaTable details →
SeaTable
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 SeaTable for Vercel AI SDK

Every tool call from Vercel AI SDK to the SeaTable 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 automatically run SQL queries on my SeaTable data?

Yes! Use the query_sql tool. Provide a standard SQL string (e.g., 'SELECT * FROM Tasks WHERE Status = "Done"'), and your agent will return the aggregate or filtered results instantly.

02

How do I find my SeaTable API Token?

Open your SeaTable base, click the three dots (Advanced) next to the base name, select API Token, and create a permanent token for the base.

03

Does this integration work with self-hosted SeaTable instances?

Yes! You can provide your custom serverUrl (e.g., https://seatable.mycompany.com) during setup to connect the MCP server to your private instance.

04

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.

05

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.

06

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.

07

createMCPClient is not a function

Install: npm install @ai-sdk/mcp