Integrate Dify with Live MongoDB Data via CData Connect AI
Dify is an open source platform for building production-ready agentic workflows, chatbots, and other LLM applications. It includes built-in, two-way support for the model context protocol (MCP), allowing you to register remote MCP servers as tools in the platform to add external data sources and give your agents access to live data.
By integrating Dify with CData Connect AI through the built-in MCP Server, Dify gains governed, real-time access to live MongoDB data. You can list catalogs, explore schemas, and query records from MongoDB data using natural language prompts, with all data access running securely against authorized sources.
This article explains how to configure MongoDB connectivity in Connect AI, generate the required personal access token, register the Connect AI MCP Server as a tool in Dify, add it to an agent application, and verify the integration by querying live MongoDB data from Dify.
About MongoDB Data Integration
Accessing and integrating live data from MongoDB has never been easier with CData. Customers rely on CData connectivity to:
- Access data from MongoDB 2.6 and above, ensuring broad usability across various MongoDB versions.
- Easily manage unstructured data thanks to flexible NoSQL (learn more here: Leading-Edge Drivers for NoSQL Integration).
- Leverage feature advantages over other NoSQL drivers and realize functional benefits when working with MongoDB data (learn more here: A Feature Comparison of Drivers for NoSQL).
MongoDB's flexibility means that it can be used as a transactional, operational, or analytical database. That means CData customers use our solutions to integrate their business data with MongoDB or integrate their MongoDB data with their data warehouse (or both). Customers also leverage our live connectivity options to analyze and report on MongoDB directly from their preferred tools, like Power BI and Tableau.
For more details on MongoDB use case and how CData enhances your MongoDB experience, check out our blog post: The Top 10 Real-World MongoDB Use Cases You Should Know in 2024.
Getting Started
Step 1: Configure MongoDB connectivity for Dify
Connectivity to MongoDB from Dify is made possible through Connect AI's Remote MCP Server. To interact with MongoDB data from Dify, start by creating and configuring a MongoDB connection in Connect AI.
- Log into Connect AI, click Sources, and then click Add Connection
- Select MongoDB from the Add Connection panel
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Enter the necessary authentication properties to connect to MongoDB.
Set the Server, Database, User, and Password connection properties to connect to MongoDB. To access MongoDB collections as tables you can use automatic schema discovery or write your own schema definitions. Schemas are defined in .rsd files, which have a simple format. You can also execute free-form queries that are not tied to the schema.
- Click Save & Test
- Navigate to the Permissions tab and update user-based permissions
Add a Personal Access Token
A Personal Access Token (PAT) is used to authenticate the connection to Connect AI from Dify. It is best practice to create a separate PAT for each integration to maintain granular access control.
- Click the gear icon () at the top right of the Connect AI app to open Settings
- On the Settings page, go to the Access Tokens section and click Create PAT
- Give the PAT a descriptive name and click Create
- Copy the token when displayed and store it securely. It will not be shown again
With the MongoDB connection configured and a PAT generated, Dify can now connect to MongoDB data through Connect AI.
Step 2: Register the Connect AI MCP Server in Dify
Next, register the Connect AI Remote MCP Server as a tool in Dify so your agents and workflows can discover and call live data tools through Connect AI.
- Log into Dify, or open your self-hosted Dify instance (version 1.6.0 or later, which includes built-in MCP support)
- Navigate to the Integrations page, select Tools and click MCP tab
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Click Add MCP Server (HTTP) and enter the following details:
- Server URL: https://mcp.cloud.cdata.com/mcp
- Name Icon: Give a descriptive name, for example, CData Connect AI
- Server Identifier: A unique identifier, for example, cdata-connect-ai
- Headers: Add an Authorization header with the value Basic your_base64_encoded_email_PAT
Note: Dify will use Basic authentication with Connect AI. Combine your Connect AI user email and the PAT you created earlier in the format email:PAT, base64 encode the combined string, and prefix it with Basic.
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Click Add & Authorize. Dify connects to the Connect AI MCP Server and lists the available tools
With the MCP server registered, the Connect AI tools are available to any agent application or workflow in your Dify workspace.
Step 3: Query live MongoDB data from Dify
With the integration complete, build an agent application in Dify and interact with live MongoDB data through natural language prompts.
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From the Dify Studio page, click Create from Blank and select Agent as the application type
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In the agent configuration, click Add under the Tools section and select the Connect AI MCP tools registered in Step 2
- Select an LLM provider and model for the agent so it can interpret prompts and call MCP tools
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In the preview panel, type a prompt in the chat input, for example:
- Use the cdata-connect-ai tools to list all available catalogs
- Show the available schemas and tables for MongoDB
- Query the top 5 records from a table in MongoDB
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The Dify agent calls the Connect AI MCP Server and returns live results from MongoDB data
At this point, Dify communicates with the Connect AI MCP Server and retrieves live MongoDB data through remote MCP tools directly from your agentic workflows.
Get started with CData Connect AI
To access hundreds of SaaS, big data, and NoSQL sources directly from your cloud applications, try CData Connect AI today. Download a free 14-day trial of CData Connect AI, and our Support Team is available to help with any questions you have.