Peliqan MCP Server

What is the Peliqan MCP Server?

The Peliqan MCP (Model Context Protocol) Server lets AI assistants and other clients like Claude.ai, Claude Code, Claude Desktop, Gemini, Microsoft Copilot and ChatGPT talk directly to your Peliqan account. Once connected, the AI can explore your data, debug pipelines, write and run data apps, manage query tables, and call API endpoints — all without leaving your chat. Think of it as giving Claude (or any other MCP Client) a direct line into Peliqan and into your data.

Prerequisites

• A Peliqan account
• An account on for example Claude.ai or ChatGPT, or Claude Code or Claude Desktop installed (or any other MCP Client)

Setup

MCP URL to use:

• EU customers: use https://mcp.eu.peliqan.io/mcp
• US customers: use https://mcp.us.peliqan.io/mcp

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Setup in ChatGPT

In ChatGPT click on your user name (bottom left corner), in the menu go to Settings > Apps > Create App and enter the Peliqan MCP URL:

Leave the authentication setting to oAuth. Login with your Peliqan user account to authenticate.

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Setup in Claude

In Claude Desktop or in Claude.ai in your browser, click on Customize in the top left corner > Connectors > Click on the plus icon > Select “Add custom connector” and enter the URL of the Peliqan MCP Server:

Next, login with your Peliqan user account to authenticate.

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Setup in Claude in an Organization account

In Claude Desktop or in Claude.ai in your browser, click on your username (bottom left corner), select Organization Settings from the menu > Connectors > Add > Custom > Web, and enter the URL of the Peliqan MCP Server:

Instruct your team members to add a connection using their personal Peliqan account as follows: click on your username (bottom left corner), select Settings from the menu > Connectors > find the Peliqan MCP connection and click on the Connect button:

claude mcp add --transport http peliqan https://mcp.eu.peliqan.io/mcp

{
  "mcpServers": {
    "peliqan": {
      "type": "http",
      "url": "https://mcp.eu.peliqan.io/mcp"
    }
  }
}

{
  "servers": {
    "peliqan": {
      "type": "http",
      "url": "https://mcp.eu.peliqan.io/mcp"
    }
  }
}

Verifying the connection

Once connected, try these prompts to confirm everything is working:

• "List my Peliqan connections"
• "Show me all databases in my Peliqan account”
• "List my data apps"

If you see results from your Peliqan account, you're all set.

What the Peliqan MCP Server can do

Debug connections & pipelines

• See all your data source connections and their sync status
• View recent pipeline run history
• Read raw error logs when a sync fails

Explore your data

• Browse all databases, schemas, and tables
• Inspect column names and types
• Preview rows of data

Manage query tables

• View run history and error logs for a failing query table
• Check upstream/downstream dependencies before making changes
• Create, update, and delete SQL query tables
• Test fixes in an isolated schema before applying to production

Build & run Data Apps

• Write Python scripts and run them as background jobs (shell mode)
• Create interactive Streamlit web UIs and publish them with a shareable URL
• Build HTTP API handlers and expose them as REST endpoints
• Schedule scripts to run automatically
• Get and set the state of Data Apps (e.g. get configuration of an app, stored in the state)

Manage API endpoints

• Create, update, and delete HTTP endpoints backed by your Python scripts
• View recent call logs for any endpoint

Sub-account management (partner accounts only)

• List all customer sub-accounts
• Run any tool against a specific sub-account by passing sub_account_id

Resources the AI can read

These resources are automatically available to the AI — no extra setup needed.

Example prompts to get started

Need help?

Reach out to Peliqan support: support@peliqan.io. You can also ask your AI (e.g. Claude) directly. Once the Peliqan MCP Server is connected, the AI has full context on how Peliqan works.