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

Use one of the following MCP URLs:

	Peliqan MCP	Peliqan Build MCP	Custom MCP
When to use	Use this for “conversational analytics”: query your business data (CRM, ERP, Accounting) and talk to your business apps.	Use this to manage the Peliqan platform via MCP, e.g. managing data pipelines, vibe coding & publishing Data Apps etc.	Use this to implement custom Tools, Resources etc. in your MCP server.
EU region	`https://mcp.peliqan.io/mcp`	`https://mcp.eu.peliqan.io/mcp`	More info
US region	`https://mcp.peliqan.io/mcp`	`https://mcp.us.peliqan.io/mcp`	More info
Private cloud & other regions	Contact support	Contact support	More info

Setup in ChatGPT

In ChatGPT click on your user name (bottom left corner), in the menu go to Settings > Plugins> Browse plugins > Click ”+” (plus) icon in the right top corner, and enter the Peliqan MCP URL: ChatGPT plugin setup showing MCP URL input

ChatGPT plugin setup showing MCP URL input

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

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: Claude add custom connector screen

Next, login with your Peliqan user account to authenticate.

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: Claude organization settings for MCP connector

Claude organization settings for MCP connector

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 team member connect button

Setup in Claude Code (terminal)

Run this command:

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

Or add the following to your ~/.claude.json file. If the file doesn’t exist yet, create it.

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

After saving, restart Claude Code. You should see Peliqan listed when you type /mcp in the chat.

Setup in Microsoft Copilot

Steps to add an MCP Server in Copilot:

Open Copilot Studio: https://copilotstudio.microsoft.com
Create an Agent
In the agent, add a Tool > MCP Server

Enter following details for the MCP Server:

Server name: Peliqan
Server description: Peliqan MCP Server to access Peliqan data
Server URL: https://mcp.eu.peliqan.io/mcp (example for the EU instance of Peliqan)
Authentication: oAuth 2.0
Type: Dynamic discovery

Copilot Studio MCP Server configuration form

Click on “Not connected” to add a connection: Copilot Studio connection status showing Not connected

Login into Peliqan to authorize access (oAuth flow). A new connection will be added.Publish your agent in Copilot Studio to make it available in Copilot chat. Next, you can access your Agent in Copilot chat and use it to access the Peliqan MCP Server.Troubleshooting in Copilot StudioIf you don’t have permissions to publish you agent, follow the below steps to allow a user to publish an agent:Add a security group (to which the user belongs) in Power Automate Admin center, for the setting Manage > Tenant settings > “Copilot studio authors”. Power Automate Admin center tenant settings

Power Automate Admin center tenant settings

Power Automate Admin center security group selection

If you get an error “A custom connector with display name xxx already exists”, follow the below steps:Go to Power Automate > More > Discover all > Custom connectors. This will show a list of all “Tools” of type MCP Server that were added to your Copilot agents in the past. Delete old connectors here.

Setup in Copilot in Visual Studio (VS Code)

Open mcp.json (or create this file) in the .vscode folder under your Project root in VS Code and add this MCP configuration:

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

Setup in other MCP Clients

Check your client’s documentation on how to add an MCP Server. You can use any MCP-compatible AI client that supports HTTPS transport, and connect using the Peliqan MCP Server URL:

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

Resource URI	What it contains
`peliqan://guide`	Peliqan AI agent guide with use cases and workflows to use

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

Example prompts to get started

Debug a failing sync

“My Salesforce connection hasn’t synced since yesterday. Can you check what’s wrong and show me the error logs?”

The AI will list connections, find the failing run, and read the logs for you.

Explore your data model

“Show me what tables exist in the ‘analytics’ schema and preview the first 10 rows of the orders table.”

The AI will browse schemas and return a data preview.

Write and run a data app

“Write a Python script that reads from our Stripe connection, calculates monthly revenue, and prints the results. Run it now.”

The AI will write the script, create a data app, and run it in shell mode — returning the output in the chat.

Fix a broken query table

“Query table ‘monthly_summary’ is failing. Can you diagnose the issue and fix it?”

The AI will read the run logs, identify the error, test a fix in a temp schema, and apply it to production.

Build a custom MCP Server

Peliqan also allows you to implement your own custom MCP Server, for internal use and/or for your customers and partners. More information: Build a custom MCP Server on Peliqan

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.

Basics

Advanced

For Partners

For AI Creators

Prerequisites

Setup

Verifying the connection

What the Peliqan MCP Server can do

Debug connections & pipelines

Explore your data

Manage query tables

Build & run Data Apps

Manage API endpoints

Sub-account management (partner accounts only)

Resources the AI can read

Example prompts to get started

Build a custom MCP Server

Need help?

​Prerequisites

​Setup

​Verifying the connection

​What the Peliqan MCP Server can do

​Debug connections & pipelines

​Explore your data

​Manage query tables

​Build & run Data Apps

​Manage API endpoints

​Sub-account management (partner accounts only)

​Resources the AI can read

​Example prompts to get started

​Build a custom MCP Server

​Need help?

Prerequisites

Setup

Verifying the connection

What the Peliqan MCP Server can do

Debug connections & pipelines

Explore your data

Manage query tables

Build & run Data Apps

Manage API endpoints

Sub-account management (partner accounts only)

Resources the AI can read

Example prompts to get started

Build a custom MCP Server

Need help?