Connect your Plaid integration to agents built with OpenAI

Connect agents built with OpenAI’s API directly into Plaid’s diagnostics and analytics to automate workflows, streamline debugging, and work without switching tools.

You can now connect OpenAI-powered agents directly to Plaid’s developer tools using our Model Context Protocol (MCP) Server. This allows you to build intelligent agents that access Plaid data in real time, trigger diagnostics, and offer insights or resolutions without needing to manually inspect logs or navigate the Plaid Dashboard.

Whether you're building support tools, debugging your integration, or analyzing Plaid Link conversion, this integration gives you the flexibility to bring Plaid tooling into any interface powered by OpenAI’s API. That means fewer context switches, less manual work, and faster resolutions.

With this integration, you can:

1. Access Plaid developer data with more flexibility — Use AI agents to query diagnostics, usage metrics, and conversion data from within custom workflows.

2. Build intelligent internal tools — Automate common support or product questions with fast, accurate answers pulled directly from Plaid.

3. Reduce dashboard dependence — Run diagnostics and surface insights through natural language prompts, no dashboard navigation required.

You can start by connecting agents to internal tools like support bots, CLI scripts, or internal dashboards to automate diagnostics and streamline debugging.

Build your own AI-powered internal assistant

With OpenAI-powered agents now able to access Plaid diagnostics and analytics, developers can build internal assistants to streamline common workflows across support, engineering, and product teams.

Use natural language to ask questions like:

“What’s the conversion rate for Link this week?” 
“What’s wrong with this item ID?”
“Why are my API errors spiking today?”

Your agents respond instantly, helping your team move faster, investigate issues more efficiently, and reduce time spent digging through logs or dashboards.

Build an intelligent customer support experience for your end users

With this release, you can re-imagine what enabling your end users can look like. For example, you can now build an AI agent to assist your end users with debugging and fixing broken bank data connections directly on your app’s surface. Imagine the following:

A user comes to your app and discovers that one or more of their bank connections are not updating correctly. The user interacts with an AI assistant you’ve built to investigate and troubleshoot the issue on their own.

Your user gets back diagnostic information on why the bank connection is not updating correctly, and a clear call to action to fix it.

Under the hood
Your AI agent accesses Plaid diagnostics data around the broken bank connection for your user by interfacing with the Plaid MCP Server through your OpenAI API calls. 

How it works

OpenAI’s Responses API now supports remote MCP servers, which allows developers to connect AI agents to real-time data sources like Plaid.

Setup steps:
1. Generate an OAuth token scoped for MCP access via /oauth/token
2. Configure your agent to connect to https://api.dashboard.plaid.com/mcp/sse
3. Pass your token via the OpenAI API, and your agent will be able to call Plaid’s diagnostics and analytics tools

This works wherever you’ve deployed your agents: CLI tools, Slack bots, custom web interfaces, or customer support surfaces. Authentication and permissioning are enforced at every step, ensuring secure access aligned with your team’s roles.

Ready to build?
Start connecting your AI agents to Plaid’s developer MCP Server here: https://plaid.com/docs/mcp/ 

What’s next

This is just the beginning.

In addition to OpenAI, we’re expanding support to other AI development platforms like Claude Code, Cursor, and Windsurf, so you can bring Plaid’s capabilities to wherever you build, investigate, and support.

We’ll also be demoing this integration and more live at Plaid Effects. Join us to see what’s possible and what’s coming next.