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Vinkius

Coalesce Connector for AI agents.

8 live capabilities

Manage Snowflake data pipelines and trigger transformations via natural language.

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AI Agent

Why people use Coalesce

Coalesce : Stop clicking through dashboards to manage Snowflake pipelines

This Connector changes that. You can just ask your agent to check the status of a run or trigger a job. You stay in your editor or chat window while the agent handles the navigation and execution. You get a direct way to manage your data transformation lifecycle through natural language.

  • Claude
  • ChatGPT
  • Gemini
  • Cursor
  • Visual Studio Code
  • Windsurf

What Vinkius changes

You get a natural language interface for your entire Coalesce data pipeline infrastructure.

Use it from Claude, ChatGPT, Cursor or another AI client you already have.

One account · 5,900+ Connectors

  1. Real-world use case 01

    Production Failure Debugging

    A production pipeline fails in the middle of the night.

  2. Real-world use case 02

    On-Demand Data Refresh

    You need to refresh a specific set of tables for a stakeholder.

  3. Real-world use case 03

    Environment Audit

    You're onboarding a new team member.

Complete set · 8capabilities

The complete Coalesce capability set.

These are the exact actions your AI can choose when you ask it to work with Coalesce.

Capability set01 / 02

01—04

4 capabilities in this set.

Part of 8 available through Coalesce.

  1. 01 Capability

    Trigger job

    Start a specific job in a target environment immediately. This lets you kick off a transformation without leaving your chat or editor.

  2. 02 Capability

    Trigger run

    Start a new run for an entire environment or a specific job. It is the quickest way to refresh your data pipelines on demand.

  3. 03 Capability

    Get environment

    Get the full configuration details for a specific Coalesce environment. This helps you see the exact settings and IDs for your various workspaces.

  4. 04 Capability

    Get job details

    Pull specific information about a single job within your organization. Use this to see the history and configuration of a specific transformation task.

Capability set02 / 02

05—08

4 capabilities in this set.

Part of 8 available through Coalesce.

  1. 05 Capability

    Get run status

    Check how far along a triggered run is and what its current status is. This gives you real-time visibility into your active data pipelines.

  2. 06 Capability

    List environments

    See every environment configured in your Coalesce organization at once. It is a fast way to get an overview of your entire infrastructure.

  3. 07 Capability

    List jobs

    Get a list of all jobs, with the option to filter by a specific environment. This helps you find the right transformation task in a large organization.

  4. 08 Capability

    List nodes

    Retrieve metadata for all transformation nodes in a chosen environment. Use this to inspect the components of your data pipelines.

Set up in minutes

One URL. Then ask Coalesce to work.

Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Coalesce from the conversation.

Choose your client

Live preview
Advanced clients IDE · CLI

Claude · Web + desktop

Official guide ↗

Connector URL · ready to paste

Streamable HTTP
https://edge.vinkius.com/vk_preview_Cc4llz27o6QgNOF3cmyYyEYcNpp6loEG8VfVdFq3/mcp
  1. Step 01

    Open Connectors

    In Claude Web or Claude Desktop, open Settings and choose Connectors.

  2. Step 02

    Add the URL

    Choose Add custom connector, name it Coalesce, and paste the URL above.

  3. Step 03

    Turn it on in chat

    Select +, open Connectors, and enable Coalesce for the conversation.

Where the request belongs

Work Coalesce can move forward.

Built around the request

Data engineers and analytics leads who are tired of manual dashboard navigation. It's for the person who needs to know why a pipeline failed at 3 PM without opening five different tabs.

01

Data Engineer

Triggers specific jobs and checks logs to debug production issues on a Tuesday afternoon.

02

Analytics Engineer

Monitors transformation progress and verifies environment health to ensure data quality.

03

Data Team Lead

Gets a high-level overview of all environments and recent run successes to report to stakeholders.

Build the capability set

Add more capabilities.

Each Connector adds new actions and data without changing how you work.

Browse Connectors
Snowflake logo
01 11 capabilities

Snowflake

Execute SQL queries, manage databases, and analyze data on Snowflake with AI agents.

View Connector
Portable.io logo
02 6 capabilities

Portable.io

Manage your Portable ETL pipelines directly via your AI agent. monitor flows, sync runs, and destination details seamlessly.

View Connector
Matillion (Cloud Data Integration & ELT) logo
03 6 capabilities

Matillion (Cloud Data Integration & ELT)

Manage data pipelines via Matillion. audit ETL workflows, track execution statuses, and monitor cloud environments.

View Connector
Data Pipeline Prover logo
04 1 capability

Data Pipeline Prover

A data team asked an AI to build an ETL pipeline. No schema contract. No idempotency. No freshness SLA. The pipeline ran for 3 months. silently inserting 2.4 million duplicate records and serving stale data to dashboards nobody questioned. This capability forces schema validation at boundaries, idempotent writes, freshness alerting, and end-to-end lineage tracing.

View Connector
Integrate.io (ETL & Data Integration) logo
05 6 capabilities

Integrate.io (ETL & Data Integration)

Manage data pipelines via Integrate.io. list pipelines, monitor job runs, and audit data transformations.

View Connector
Fivetran logo
06 7 capabilities

Fivetran

Manage data movement via Fivetran. monitor connectors and destinations, handle groups, track sync states, and audit users directly from any AI agent.

View Connector

Bring your own AI

Change the model, client or framework. Keep Coalesce connected.

  • Claude
  • ChatGPT
  • Gemini
  • Cursor
  • VS Code
  • Windsurf
  • ZCode
  • Cline
  • Zed
  • Continue
  • Kiro
  • Roo Code
  • Zencoder
  • Goose
  • Void
  • Augment Code
  • Amp
  • Qodo
  • Tabnine
  • Pieces
  • Sourcegraph Cody
  • JetBrains
  • Warp
  • Amazon Q
  • Antigravity
  • BoltAI
  • Raycast
  • Jan
  • LM Studio
  • AnythingLLM
  • Open WebUI
  • Msty
  • Cherry Studio
  • LibreChat
  • TypingMind
  • Chorus
  • 5ire
  • n8n
  • LangChain
  • LlamaIndex
  • CrewAI
  • Vercel AI SDK

Before you connect

Questions about Coalesce.

The practical details behind the request, access and result.

Can I use the Coalesce MCP to trigger specific Snowflake jobs?

Yes, you can trigger specific jobs in any of your Coalesce environments using natural language. This allows you to kick off data transformations without needing to navigate the web dashboard.

How do I check the status of a pipeline using the Coalesce MCP?

You can simply ask your agent for the status of a specific run. It will check the progress and tell you if the pipeline is still running, succeeded, or failed.

Can the Coalesce MCP help me debug a failed data transformation?

Yes, it can pull detailed execution logs for failed jobs. This helps you identify specific errors in your Snowflake pipelines much faster than manual searching.

Can I see my different environments with the Coalesce MCP?

You can ask the agent to list all environments in your organization. It will provide a summary of the environments, their IDs, and the status of their most recent runs.

Is the Coalesce MCP compatible with my existing Snowflake setup?

Yes, because Coalesce is built for Snowflake, this Connector connects directly to your existing data transformation infrastructure to manage your pipelines.

How does the Coalesce MCP help with data engineering workflows?

It reduces the time spent on manual tasks like environment navigation and job triggering. Data engineers can stay in their workspace and manage their pipelines through simple chat commands.

How do I get my Coalesce API token?

In the Coalesce UI, go to Organization Settings > API Tokens and generate a new token. Copy it and paste it below.

Does this work with Snowflake?

Yes. Coalesce is built specifically for Snowflake. The API triggers jobs that run directly on your Snowflake instance.

What is a Node Selector?

A Node Selector lets you filter which transformation nodes to include in a run, based on name, type, or tags.

One connection away

Give your agent a direct line to Coalesce.

Connect Coalesce once. Keep it beside 5,900+ managed Connectors when the next task needs more.

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