AI Agent for IoTDB MCP Server
Integrate the Apache IoTDB Model Context Protocol (MCP) Server to seamlessly power business intelligence and advanced database interactions. Effortlessly run SQL queries, access multi-dialect support, and export results in multiple formats. Empower your organization with robust session management, error handling, and Docker deployment for scalable time-series data operations.
Flexible SQL Querying & Multi-Dialect Support
Run advanced SQL queries on time-series data using either Tree Model or Table Model dialects. Unlock business intelligence with metadata queries, selective data retrieval, and exportable results. Choose your preferred SQL dialect for seamless integration with your workflows.
- Tree & Table SQL Dialects.
- Support for both Tree Model and Table Model SQL dialects for maximum flexibility.
- Export to CSV/Excel.
- Easily export query results to CSV or Excel files for further analysis or sharing.
- Advanced Metadata Queries.
- Run SHOW/COUNT queries to read comprehensive metadata from your IoTDB instance.
- Business Intelligence Functions.
- Access powerful SQL functions like SUM, COUNT, MAX, MIN, AVG, and more.
Optimized Performance & Robust Configuration
Experience high concurrency with optimized session pool management, automatic retries, and configurable timeouts. Easily adapt integration settings through environment variables or command-line options for host, port, authentication, database, dialect, and export paths.
- Customizable Configuration.
- Easily set host, port, user, password, database, dialect, and export paths to fit any environment.
- High-Concurrency Session Pool.
- Optimized session pool supports up to 100 concurrent sessions for demanding workloads.
- Automatic Failover.
- Automatic retry and timeout management ensures reliability and minimizes downtime.
Comprehensive Error Handling & Deployment
Benefit from robust error handling, parameter validation, and detailed logging for reliable operations. Deploy effortlessly in Docker, with full support for containerization and easy integration into Claude Desktop for advanced analytics workflows.
- Docker Support.
- Rapidly deploy the MCP Server with Docker for scalable, portable time-series solutions.
- Advanced Error Handling.
- Comprehensive logging, exception management, and parameter validation for safe operations.
- Claude Desktop Integration.
- Easily connect the MCP Server for advanced analytics in Claude Desktop environments.
MCP INTEGRATION
Available IoTDB MCP Integration Tools
The following tools are available as part of the IoTDB MCP integration:
- metadata_query
Run SHOW or COUNT SQL queries to read metadata such as databases, timeseries, devices, and paths.
- select_query
Execute SELECT queries using the Tree Model dialect to retrieve timeseries data with aggregation and filtering.
- export_query
Export the result of a query to a CSV or Excel file, with options for format and filename.
- read_query
Run SELECT queries using the Table Model dialect to fetch structured tabular data from the database.
- list_tables
List all available tables in the IoTDB database for schema exploration.
- describe_table
Retrieve schema details and column definitions for a specified table.
- export_table_query
Export query results from the Table Model to CSV or Excel, including file info and data preview.
Experience Powerful IoTDB Integration
See how the IoTDB MCP Server makes database interaction and business intelligence seamless. Book a live demo or try FlowHunt free to explore its capabilities.
What is Apache IoTDB MCP Server
Apache IoTDB MCP Server is an open-source implementation of the Model Context Protocol (MCP), designed to provide robust database interaction and business intelligence capabilities for time-series data. Built on top of Apache IoTDB, this server enables seamless execution of SQL queries, metadata retrieval, and schema inspection using either the Tree Model or Table Model dialects. It supports flexible configuration, allowing users to interact with time-series data efficiently, export query results, and integrate with various analytics workflows. The MCP Server is particularly valuable for applications requiring scalable time-series data management and advanced querying capabilities in IoT, industrial, and smart device scenarios.
Capabilities
What we can do with Apache IoTDB MCP Server
Apache IoTDB MCP Server offers a suite of tools for interacting with time-series databases through SQL queries and metadata operations. Users can leverage both Tree Model and Table Model dialects to perform data retrieval, metadata exploration, and export data in multiple formats. The server is suitable for business intelligence, IoT analytics, and schema management tasks.
- Flexible SQL Query Execution
- Run complex SELECT, SHOW, and COUNT queries on time-series data using multiple SQL dialects.
- Metadata & Schema Exploration
- Retrieve metadata, inspect database schemas, and explore table structures for better data management.
- Data Export
- Export query results to CSV or Excel formats for integration with analytics and reporting tools.
- Customizable Configuration
- Easily configure connection settings, SQL dialects, and export options via environment variables or arguments.
- Business Intelligence Integration
- Enable business intelligence workflows by providing powerful data access and manipulation features for IoTDB.
What is Apache IoTDB MCP Server
Apache IoTDB MCP Server empowers AI agents by offering programmatic access to time-series data management, flexible query execution, and fast metadata retrieval. This allows AI agents to automate data analysis, monitor IoT devices, and generate actionable insights from large-scale time-series datasets efficiently.