---
title: How Do I Connect Dataslayer MCP to Any MCP-Compatible LLM (Custom)?
description: "Connect Dataslayer MCP to any MCP-compatible client or LLM, including local, self-hosted models. Universal setup: server URL, OAuth 2.1, and a remote MCP connection."
---
[Skip to content](https://support.dataslayer.ai/how-do-i-connect-dataslayer-mcp-to-any-mcp-compatible-llm-custom#main-content)
- [English](https://support.dataslayer.ai/how-do-i-connect-dataslayer-mcp-to-any-mcp-compatible-llm-custom)
- [Español](https://support.dataslayer.ai/es/how-do-i-connect-dataslayer-mcp-to-any-mcp-compatible-llm-custom)
English
Show submenu for translations
[](https://www.dataslayer.ai/)
Open main navigation
Close main navigation
- - [English](https://support.dataslayer.ai/how-do-i-connect-dataslayer-mcp-to-any-mcp-compatible-llm-custom)
- [Español](https://support.dataslayer.ai/es/how-do-i-connect-dataslayer-mcp-to-any-mcp-compatible-llm-custom)
English
Show submenu for translations
Hello. How can we help you?
- There are no suggestions because the search field is empty.
1. [Knowledge base](https://support.dataslayer.ai/?hsLang=en)
2. [Dataslayer MCP](https://support.dataslayer.ai/dataslayer-mcp?hsLang=en)
August 25, 2026
# How Do I Connect Dataslayer MCP to Any MCP-Compatible LLM (Custom)?
## Connect Dataslayer MCP to any MCP-compatible client or LLM, including local, self-hosted models. Universal setup: server URL, OAuth 2.1, and a remote MCP connection.
Dataslayer MCP isn't limited to the named providers (Copilot, ChatGPT, Claude, Gemini, Mistral). Because MCP is an open protocol, you can connect Dataslayer to **any MCP-compatible client or model**, including local, self-hosted models running in your own environment. This "Custom" option gives you full flexibility to query your marketing data from whatever AI tooling you use.
### What You'll Need Before Starting
- **An MCP-compatible client or LLM** that supports **remote MCP servers** and **OAuth** authentication. Examples include desktop AI apps and IDE assistants such as Claude Desktop, Cursor, or VS Code; automation tools like n8n; and your own code built with an MCP client SDK.
- **An active Dataslayer account** with at least [one data source connected](https://app.dataslayer.ai/hub).
- **(For local / self-hosted models)** a client or runtime that can reach the internet to complete the OAuth flow with Dataslayer.
### Universal Connection Details
These are the same for every client:
- **Server URL:** `https://agents.dataslayer.ai/mcp`
- **Authentication:** OAuth 2.1
- **Transport:** remote MCP over HTTP (streamable)
### Step-by-Step Instructions
#### 1. Open your client's MCP / connector settings
Go to the place where your client adds external MCP servers or connectors. The exact name and location vary by client (e.g. "Connectors", "MCP Servers", "Tools").
#### 2. Add a new remote MCP server
- Paste the **Server URL** exactly: `https://agents.dataslayer.ai/mcp`
- Give it a name like "Dataslayer".
#### 3. Choose OAuth as the authentication method
Select **OAuth** (Dataslayer uses OAuth 2.1).
#### 4. Authorize with Dataslayer
Complete the OAuth login with your **Dataslayer credentials**. Your marketing platform credentials never leave Dataslayer.
#### 5. Use the tools
Once connected, your client detects the Dataslayer tools and you can query your data in natural language.
**Tip (optional):** test with *"Using Dataslayer, pull my Google Ads spend for the last 7 days."*
### Notes by Client Type
- **Desktop AI apps / IDE assistants** (e.g. Claude Desktop, Cursor, VS Code): add Dataslayer as a custom/remote MCP server in the app's MCP or connectors settings.
- **Automation / workflow tools** (e.g. n8n): add an MCP client node or credential pointing to the server URL with OAuth.
- **Custom code:** use an MCP client SDK, point it at the server URL, and implement the OAuth 2.1 flow.
- **Local / self-hosted models:** run them through any MCP-capable client. The model stays in your environment; the only thing leaving your perimeter is the encrypted MCP traffic to Dataslayer. This gives **maximum data residency**.
### Best Practices
**Be specific about what you want:**
- Mention which metrics and dimensions you need
- Include date ranges and any filters
- Specify the data source if you have multiple accounts connected
**Example of a well-structured prompt:**
```
Using Dataslayer, retrieve my Google Ads data for account "{YOUR-ACCOUNT-NAME}" for the last 30 days. Show spend, impressions, and clicks grouped by campaign name, sorted by spend from highest to lowest.
```
### Troubleshooting Common Issues
- **Your client doesn't support the connection:** confirm it supports **remote** MCP servers and **OAuth** (not only local stdio servers without authentication).
- **Connection fails:** check the Server URL is exactly `https://agents.dataslayer.ai/mcp`, with no extra spaces.
- **Authentication doesn't complete:** verify your Dataslayer credentials; your client must be able to open the OAuth browser flow to authorize.
- **No tools appear:** disconnect and reconnect, and make sure the connection is enabled/authorized in your client.
### Authentication and Security
Every client connects to Dataslayer through a secure, encrypted connection using the Model Context Protocol and OAuth 2.1. Your Dataslayer login and marketing platform credentials are never shared with the model or client — all queries are processed through Dataslayer's secure infrastructure. With a local / self-hosted model, data residency is maximal.
For more details, see [How does Dataslayer MCP handle authentication?](https://support.dataslayer.ai/how-does-dataslayer-mcp-handle-authentication?hsLang=en) and [Is my data secure when using MCP with external AI models?](https://support.dataslayer.ai/is-my-data-secure-when-using-mcp-with-external-ai-models?hsLang=en)
### Usage Limits
Dataslayer's shared limit of **50 API calls per day** applies regardless of which client you use. Any message or rate limits beyond that depend on the client/model you choose; with a local / self-hosted model they're governed by your own infrastructure. See [Is there a limit to the number of requests per AI provider?](https://support.dataslayer.ai/is-there-a-limit-to-the-number-of-requests-i-can-send-per-ai-provider-with-dataslayer-mcp?hsLang=en)
### Comparing AI Providers
Custom is one of several ways to use Dataslayer MCP. To compare with Copilot, ChatGPT, Claude, Gemini, and Mistral:
- [Which AI providers does Dataslayer MCP support?](https://support.dataslayer.ai/which-ai-providers-does-dataslayer-mcp-support?hsLang=en)
- [What are the differences between AI providers within MCP?](https://support.dataslayer.ai/what-are-the-differences-between-ai-providers-within-mcp?hsLang=en)
- [Can I use multiple AI providers at the same time?](https://support.dataslayer.ai/can-i-connect-multiple-ai-providers-to-dataslayer-mcp?hsLang=en)
*As always, please contact us via our live chat on our [website](https://dataslayer.ai/) or via [email](mailto:info@dataslayer.ai) if you still have doubts or questions. We are happy to help!*
- [General](https://support.dataslayer.ai/general?hsLang=en)
- [Billing & Pricing](https://support.dataslayer.ai/billing-pricing?hsLang=en)
- [Data Sources](https://support.dataslayer.ai/data-sources?hsLang=en)
- [Blended Connectors](https://support.dataslayer.ai/blended-connectors?hsLang=en)
- [Google Sheets](https://support.dataslayer.ai/google-sheets?hsLang=en)
- [Microsoft Excel](https://support.dataslayer.ai/microsoft-excel?hsLang=en)
- [Spreadsheets](https://support.dataslayer.ai/spreadsheets?hsLang=en)
- [Looker Studio](https://support.dataslayer.ai/looker-studio?hsLang=en)
- [Big Query](https://support.dataslayer.ai/big-query?hsLang=en)
- [API Query Manager](https://support.dataslayer.ai/api-query-manager?hsLang=en)
- [Power BI](https://support.dataslayer.ai/power-bi?hsLang=en)
- [Amazon S3](https://support.dataslayer.ai/amazon-s3?hsLang=en)
- [Amazon Redshift](https://support.dataslayer.ai/amazon-redshift?hsLang=en)
- [Snowflake](https://support.dataslayer.ai/snowflake?hsLang=en#main-content)
- [Marketplace](https://support.dataslayer.ai/snowflake?hsLang=en#marketplace)
- [Google Cloud Storage](https://support.dataslayer.ai/google-cloud-storage?hsLang=en)
- [Database](https://support.dataslayer.ai/database?hsLang=en)
- [Azure SQL](https://support.dataslayer.ai/azure-sql?hsLang=en)
- [Azure Storage](https://support.dataslayer.ai/azure-storage?hsLang=en)
- [Dataslayer Atlas](https://support.dataslayer.ai/dataslayer-atlas?hsLang=en)
- [Morpheus](https://support.dataslayer.ai/morpheus?hsLang=en)
- [AI Looker Studio Analyzer](https://support.dataslayer.ai/ai-looker-studio-analyzer?hsLang=en)
- [Dataslayer MCP](https://support.dataslayer.ai/dataslayer-mcp?hsLang=en)
- [Dataslayer GPT](https://support.dataslayer.ai/dataslayer-gpt?hsLang=en)
- [Dataslayer AI Chat](https://support.dataslayer.ai/dataslayer-ai-chat?hsLang=en)
[](https://dataslayer.ai/)
Dataslayer.ai: Digital Marketing Reporting Made Easy
Copyright © 2026, DATASLAYER SL