Model Context Protocol (MCP) finally gives AI models a way to access the business data needed to make them really useful at work. CData MCP Servers have the depth and performance to make sure AI has access to all of the answers.
Try them now for free →Use Claude to Talk to Your Elasticsearch Data via CData Connect Cloud
Leverage CData Connect Cloud Remote MCP to enable Claude to securely answer questions and take actions on your Elasticsearch data for you.
Claude is a family of advanced large language models (LLMs) built by Anthropic, an AI research company founded in 2021. These models power the Claude conversational assistant and developer tools.
CData Connect Cloud offers a dedicated cloud-to-cloud interface for connecting to Elasticsearch data. The CData Connect Cloud Remote MCP Server enables secure communication between Claude and Elasticsearch. This allows you to ask questions and take actions on your Elasticsearch data using Claude, all without the need for data replication to a natively supported database. With its inherent optimized data processing capabilities, CData Connect Cloud efficiently channels all supported SQL operations, including filters and JOINs, directly to Elasticsearch. This leverages server-side processing to swiftly deliver the requested Elasticsearch data.
About Elasticsearch Data Integration
Accessing and integrating live data from Elasticsearch has never been easier with CData. Customers rely on CData connectivity to:
- Access both the SQL endpoints and REST endpoints, optimizing connectivity and offering more options when it comes to reading and writing Elasticsearch data.
- Connect to virtually every Elasticsearch instance starting with v2.2 and Open Source Elasticsearch subscriptions.
- Always receive a relevance score for the query results without explicitly requiring the SCORE() function, simplifying access from 3rd party tools and easily seeing how the query results rank in text relevance.
- Search through multiple indices, relying on Elasticsearch to manage and process the query and results instead of the client machine.
Users frequently integrate Elasticsearch data with analytics tools such as Crystal Reports, Power BI, and Excel, and leverage our tools to enable a single, federated access layer to all of their data sources, including Elasticsearch.
For more information on CData's Elasticsearch solutions, check out our Knowledge Base article: CData Elasticsearch Driver Features & Differentiators.
Getting Started
Step 1: Configure Elasticsearch Connectivity for Claude
Connectivity to Elasticsearch from Claude is made possible through CData Connect Cloud Remote MCP. To interact with Elasticsearch data from Claude, we start by creating and configuring a Elasticsearch connection in CData Connect Cloud.
- Log into Connect Cloud, click Sources, and then click Add Connection
- Select "Elasticsearch" from the Add Connection panel
- Enter the necessary authentication properties to connect to Elasticsearch.
Set the Server and Port connection properties to connect. To authenticate, set the User and Password properties, PKI (public key infrastructure) properties, or both. To use PKI, set the SSLClientCert, SSLClientCertType, SSLClientCertSubject, and SSLClientCertPassword properties.
The data provider uses X-Pack Security for TLS/SSL and authentication. To connect over TLS/SSL, prefix the Server value with 'https://'. Note: TLS/SSL and client authentication must be enabled on X-Pack to use PKI.
Once the data provider is connected, X-Pack will then perform user authentication and grant role permissions based on the realms you have configured.
- Click Save & Test
Step 2: Connect Claude to CData Connect Cloud
Follow these steps to add a CData Connect Cloud connector in Claude:
- Sign in to Claude.ai or create a new account.
- Expand the left navigation menu.
- In the bottom-left corner, click your user name and select Settings from the menu. The Settings screen appears.
- In the Settings screen, click Connectors.
- In the top-right corner, set your button toggle to Organization connectors.
- Click Add custom connector at the bottom of the page.
- Enter a name for the connector (such as Connect Cloud MCP).
- In the Remote MCP server URL field, enter https://mcp.cloud.cdata.com/mcp.
- Click Add to save the connector. The Connect Cloud MCP connector appears under Connectors.
- Click Connect to the right of the connector and enter your CData Connect Cloud user name and password. You have now connected Claude to CData Connect Cloud.
- Click the three dots after Connected and select Tools and settings.
- Review the provided tools and enable or disable specific tools made available by the server. In addition, determine whether you want unsupervised access to the tools, or whether you want Claude to ask your permission.
- Click Done when finished with your settings.
Step 3: Explore Live Elasticsearch Elasticsearch data with Claude
- In the left navigation menu of Claude, click New chat.
- You can now start exploring your data with natural language prompts. Claude outlines the steps it uses to retrieve data from the source in CData Connect Cloud. Refer to CData's prompt library for prompt ideas.
NOTE: Claude's setup process is subject to change. Refer to Claude's documentation for the latest setup information.
Get CData Connect Cloud
To get live data access to 100+ SaaS, Big Data, and NoSQL sources directly from your cloud applications, try CData Connect Cloud today!