Dremio MCP Server
Empower AI agents to directly access and analyze enterprise data through natural language
Model Context Protocol Server
Connecting AI to Enterprise Data
Dremio MCP Server is an open-source implementation of the Model Context Protocol that connects LLMs to tools (e.g., RunSqlQuery, GetSchemaOfTable, RunSemanticSearch) and enterprise data. It enables LLMs to respond to questions from users and applications and reason answers via their enterprise data.
What is MCP
Model Context Protocol (MCP) is an open standardized communication framework created by Anthropic that allows LLMs to communicate with external AI tools and data sources.
What is an MCP server
An MCP server is the software infrastructure that implements the Model Context Protocol, acting as the bridge between language models (e.g., Anthropic Claude 3.7 Sonnet) and external AI tools or data sources. It receives requests from language models, provides access to the appropriate tools, and returns the results to a chat interface (e.g., Claude) or an operational application (e.g., a customer service automation platform).
Data Access in the AI Era
Challenge
Bridging AI and Enterprise Data
In the traditional analytics landscape, accessing enterprise data required specialized skills and custom integrations, creating bottlenecks for business users and limiting the value of investments in both data infrastructure and AI capabilities.
However, as AI becomes mainstream across organizations, this disconnect becomes critical. Modern AI agents need direct, secure access to enterprise data to deliver accurate, contextual responses without compromising security or governance policies. Without a standardized communication framework, organizations face costly and complex custom integration work that slows innovation and limits AI adoption.
Solution
Enter Dremio MCP Server
Dremio MCP Server implements the Model Context Protocol (MCP), an open standardized communication framework that allows LLMs to communicate with external AI tools and data sources. The server acts as a communication hub between Dremio's data platform, AI agents, and LLMs, exposing data capabilities as discoverable tools that the LLM can understand and invoke. When users ask questions in natural language through Claude's interface or via an API, the Dremio MCP Server facilitates authentication, executes requests against your Dremio environment, and returns results to the LLM—making natural language the interface to your enterprise data while maintaining existing security controls.
benefits
Natural Language Data Access.
Enterprise-Grade Security. Zero Integration.
Dremio MCP Server accelerates AI and analytics by eliminating technical barriers between AI agents and your data, enabling natural language interfaces while maintaining enterprise security and governance.
- Zero Custom Integration: Implement once and connect any MCP-compatible AI agent to your data
- Natural Language Interface: Empower non-technical users to access data insights through conversational interfaces
- Enterprise Security: Maintain existing security controls and governance policies with transparent authentication
- Open Standards: Avoid vendor lock-in with an open-source implementation built on the MCP standard
- Seamless Experience: Enable AI agents to discover and leverage data tools without prior schema knowledge
CAPABILITIES
Dremio's MCP Capabilities
The Dremio MCP server exposes data capabilities through a standardized interface that makes them discoverable and accessible to LLMs, all while leveraging existing authentication and security mechanisms.
- AI-Ready Data Tools: Exposes key capabilities like RunSqlQuery, GetSchemaOfTable, and RunSemanticSearch
- Tool Discovery: Enables AI agents to discover available data tools without prior configuration
- Secure Authentication: Facilitates authentication by configuring and passing the appropriate tokens
- Rapid Execution: Leverages Autonomous Reflections for high-performance query execution
- Multi-Interface Support: Available through Claude desktop, with support for ChatGPT desktop coming soon
- Developer-Friendly: Accessible through agent frameworks like LangChain and BeeAI
PROCESS FLOW
How Users Interact with Dremio MCP Server
- User Input & Agent Processing: User asks a question via an AI interface, such as Clause, and the LLM (Sonnet) processes the request, determining it has access to an MCP server.
- Capability Discovery & Tool Selection: The LLM uses MCP to discover available tools on Dremio’s MCP Server and selects the appropriate one.
- Parameter Construction: The LLM formulates the tool parameters.
- Authentication & Tool Invocation: Via MCP, the agent authenticates to Dremio and invokes the selected tool with the constructed parameters.
- Execution & Results Processing: The MCP Server executes the query against Dremio using Autonomous Reflections; results stream back through MCP and are parsed by the agent.
- Response Generation: The agent interprets the parsed results and crafts the natural‑language response
Why Customers Choose Us
1000s of companies across all industries trust Dremio
10x
in query performance, from 60 to 4-6 seconds
60HRS
of work eliminated per project
90%
Reduction in setup time.
99.97%
uptime, minimizing downtime to just 3 hours in 10 months
Scaled
from handling zero to 1.6 million queries a day
Reduced costs
by avoiding proprietary data access fees and optimizing resource usage
Milli-second
latency on queries on 45+ million record tables
Unified access
to data through a single integrated platform
Real-time
low-latency dashboard refreshes with Reflections
6X
growth in physical data sets validated and managed
140%
increase in virtual data sets identified and validated
Reduced
Databricks cost while scaling data projects to users.
Increased
independence for BI team by eliminating data bottlenecks
Optimized
Snowflake performance while maintaining ~9,400 Dremio jobs/day
Provided easy
and fast access to 70+ data sources for 1,200 daily BI users
Learn More About Dremio
Learn how Dremio is helping teams accelerate AI and analytics.
Read our reviews on
