4,000+ servers built on MCP Fusion
Vinkius
LangChainFramework
Why use Dataiku DSS MCP Server with LangChain?

Bring Data Science
to LangChain

Create your Vinkius account to connect Dataiku DSS to LangChain and start using all 14 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.

MCP Inspector GDPR Free for Subscribers
Dataset SchemaGet JobGet ModelGet ProjectGet RecipeList ConnectionsList DatasetsList JobsList ModelsList PluginsList ProjectsList RecipesList ScenariosRun Scenario
ChatGPT Claude Perplexity

Compatible with every major AI agent and IDE

ClaudeClaude
ChatGPTChatGPT
CursorCursor
GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ other MCP clients
Dataiku DSS

What is the Dataiku DSS MCP Server?

Connect your Dataiku DSS instance to any AI agent and take full control of your enterprise AI and collaborative data science workflows through natural conversation.

What you can do

  • Project & Dataset Exploration — List all accessible DSS projects and retrieve structural extraction of dataset column schemas and types
  • Pipeline Orchestration — Monitor build tasks and training runs by listing pipeline jobs and analyzing execution states and timing
  • Transformation Auditing — Retrieve explicit configuration structures parsing precise Dataiku recipes (Python, SQL, Visual) to verify data logic
  • Automation & Scenarios — List automation scenarios and trigger execution commands to rebuild pipelines or retrain models securely
  • Model Monitoring — Identify saved ML models and retrieve detailed performance metrics defining specific trained schema layers
  • Admin Oversight — Enumerate installed plugins and data connections (SQL, Cloud Storage, APIs) to verify organizational constraints

How it works

  1. Subscribe to this server
  2. Enter your Dataiku Instance URL and API Key (Personal, Project, or Global key)
  3. Start managing your data science workflows from Claude, Cursor, or any MCP-compatible client

Who is this for?

  • Data Scientists — monitor model training and compare dataset schemas without leaving the research flow
  • Data Engineers — track pipeline jobs and verify recipe configurations using natural language
  • MLOps Teams — trigger automation scenarios and monitor deployed models in real-time
  • Analytics Managers — audit project metadata and data connections across the organization

Built-in capabilities (14)

dataset_schema

Get the schema (columns, types) of a specific dataset

get_job

Get job state, timing, and outputs

get_model

Get saved model metadata, algorithm, and performance metrics

get_project

Get project metadata, settings, and tags

get_recipe

Get recipe configuration and settings

list_connections

List all DSS data connections (databases, cloud storage, APIs)

list_datasets

List all datasets in a project

list_jobs

List pipeline jobs in a project (build tasks, training runs)

list_models

List deployed/saved ML models in a project

list_plugins

List installed DSS plugins

list_projects

List all DSS projects accessible to the API key

list_recipes

List all recipes (data transformations) in a project

list_scenarios

List automation scenarios in a project

run_scenario

Trigger a scenario execution (build pipeline, retrain model)

Why LangChain?

LangChain's ecosystem of 500+ components combines seamlessly with Dataiku DSS through native MCP adapters. Connect 14 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 Dataiku DSS 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 Dataiku DSS queries for multi-turn workflows

See it in action

Dataiku DSS in LangChain

AI AgentVinkius
High Security·Kill Switch·Plug and Play
Enterprise Security

Why run Dataiku DSS with Vinkius?

The Dataiku DSS 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 14 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.

Dataiku DSS
Fully ManagedNo server setup
Plug & PlayNo coding needed
SecurePrivacy protected
PrivateYour data is safe
Cost ControlBudget limits
Control1-click disconnect
Auto-UpdatesMaintenance free
High SpeedOptimized for AI
Reliable99.9% uptime
Your credentials and connection tokens are fully encrypted

* 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

01 / Catalog

Over 4,000 integrations ready for AI agents

Explore a vast library of pre-built integrations, optimized and ready to deploy.

02 / Credentials

Connect securely in under 30 seconds

Generate tokens to authenticate and link external services in a single step.

03 / Guardian

Complete visibility into every agent action

Audit live requests, latency, success rates, and active security compliance policies.

04 / FinOps

Optimize spending and track token ROI

Analyze real-time token consumption and cost metrics detailed by connection.

Over 4,000 integrations ready for AI agents
Connect securely in under 30 seconds
Complete visibility into every agent action
Optimize spending and track token ROI

Explore our live AI Agents Analytics dashboard to see it all working

This dashboard is included when you connect Dataiku DSS using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.

Why Vinkius

Dataiku DSS and 4,000+ other AI tools. No hosting, no code, ready to use.

Professionals who connect Dataiku DSS to LangChain 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.

4,000+MCP Integrations
<40msResponse time
100%Fully managed
Raw MCP
Vinkius
Ready-to-use MCPsFind and configure each manually4,000+ MCPs ready to use
Connection SetupManual coding & server setup1-click instant connection
Server HostingYou host it yourself (needs 24/7 uptime)100% hosted & managed by Vinkius
Security & PrivacyStored in plaintext config filesBank-grade encrypted vault
Activity VisibilityBlind execution (no logs or tracking)Live dashboard with real-time logs
Cost ControlRunaway AI token spend riskAutomatic budget limits
Revoking AccessMust delete files or code to stop1-click disconnect button
The Vinkius Advantage

How Vinkius secures Dataiku DSS for LangChain

Every request between LangChain and Dataiku DSS is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.

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

Frequently asked questions

01

Can my agent trigger a Dataiku automation scenario?

Yes. Use the 'run_scenario' tool. Provide the project key and the scenario ID. The agent will command the backend to orchestrate the absolute workflow rules, triggering a new execution run for your pipeline or model retraining.

02

How do I check the schema of a specific dataset via chat?

Provide the project key and dataset name to the 'dataset_schema' tool. Your agent will validate the API arrays structurally and return the dataset column names and types natively, helping you understand your data boundaries.

03

Can I monitor the performance of saved ML models?

Absolutely. Use the 'get_model' tool. Your agent retrieves the metadata and performance metrics defining specific trained schema layers, allowing you to audit model quality and drift without opening the DSS UI.

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

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