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apache/iotdb-mcp-server
A Model Context Protocol (MCP) server implementation that provides database interaction and business intelligence capabilities through IoTDB. This server enables running SQL queries and interacting with IoTDB using different SQL dialects (Tree Model and Table Model).
{
"mcpServers": {
"iotdb": {
"command": "uv",
"args": [
"--directory",
"/Users/your_username/iotdb-mcp-server/src/iotdb_mcp_server",
"run",
"server.py"
],
"env": {
"IOTDB_HOST": "<IOTDB_HOST>",
"IOTDB_PORT": "<IOTDB_PORT>",
"IOTDB_USER": "<IOTDB_USER>",
"IOTDB_PASSWORD": "<IOTDB_PASSWORD>",
"IOTDB_DATABASE": "<IOTDB_DATABASE>",
"IOTDB_SQL_DIALECT": "<IOTDB_SQL_DIALECT>",
"IOTDB_EXPORT_PATH": "<IOTDB_EXPORT_PATH>"
}
}
}
}IOTDB_HOSTIOTDB_PORTIOTDB_USERIOTDB_PASSWORDIOTDB_DATABASEIOTDB_SQL_DIALECTIOTDB_EXPORT_PATHFROM
targets use explicit root... paths.
IOTDB_DATABASE
is only a connection/session hint; tree SQL still needs explicit root paths.
metadata_query
select_query
sql_executor_batch
read_result_pages
export_query
model_inference
prepare_model_inference_request
list_udf_functions
prepare_udf_query
execute_udf_query
export_udf_query
read_query
list_tables
describe_table
export_table_query
Details on this page are taken from the project's README. Open README
Clients mentioned in this server's README:

supabase-community/supabase-mcp
The Model Context Protocol (MCP) standardizes how Large Language Models (LLMs) talk to external services like Supabase. It connects AI assistants directly with your Supabase project and allows them to perform tasks like managing tables, fetching config, and querying data. See the full list of tools.

googleapis/genai-toolbox
MCP Toolbox for Databases is an open source Model Context Protocol (MCP) server that connects your AI agents, IDEs, and applications directly to your enterprise databases.

alexander-zuev/supabase-mcp-server
Query MCP is an open-source MCP server that lets your IDE safely run SQL, manage schema changes, call the Supabase Management API, and use Auth Admin SDK — all with built-in safety controls.

MobinX/awesome-mcp-list
This is a continuously updated curated list of MCP servers, covering categories such as browser control, arts and culture, cloud platforms, command line, communication, customer data platforms, databases, developer tools, data science tools, file systems, finance and fintech, gaming, knowledge and memory, location services, marketing, monitoring, search and utilities. Each project includes a GitHub link and star count for quick reference and use.

stuzero/pg-mcp-server
PG-MCP is a server implementation of the Model Context Protocol for PostgreSQL databases. It provides a comprehensive API for AI agents to discover, connect to, query, and understand PostgreSQL databases through MCP's resource-oriented architecture.

bytebase/dbhub
[!NOTE] If you need an enterprise-level database MCP server with built-in guardrails like approval flow, access control, data masking, and audit logging beyond what DBHub offers, check out Bytebase.