IoTDB MCP Server
OfficialRelated Servers
Alternatives to IoTDB MCP Server
No user-submitted related servers found.
Related Servers
- FlicenseBqualityDmaintenanceA Model Context Protocol server that allows executing SELECT queries on TiDB databases, with optional support for INSERT, UPDATE, and DELETE operations when explicitly enabled.15 npm-
- AlicenseNot gradedqualityDmaintenanceA Model Context Protocol server that enables SQL query execution, database management, and business intelligence capabilities through MySQL connections.630 npmMIT
- FlicenseBqualityDmaintenanceA Model Context Protocol server that provides database interaction and business intelligence capabilities through SQLite, enabling SQL queries, data analysis, and automatic generation of business insight memos.6-
- AlicenseBqualityDmaintenanceA Model Context Protocol server that enables executing SQL queries and managing connections with Microsoft SQL Server databases.12,592 npm6MIT
- AlicenseAqualityBmaintenanceA Model Context Protocol server that enables large language models to access database metadata and perform cross-engine data querying across diverse database ecosystems.1653Apache 2.0
- AlicenseNot gradedqualityDmaintenanceA Model Context Protocol server that enables natural language queries to MySQL databases, powered by XiYanSQL text-to-SQL technology.23 PyPI239Apache 2.0
TDQS
Scored across 4 tools
The tools have distinct primary functions (describe, export, list, read), but there's significant overlap between export_table_query and read_query as both execute SQL queries. The descriptions clarify that export_table_query focuses on file export while read_query returns query results directly, but an agent might still confuse when to use each for data retrieval.
Three tools follow a consistent verb_noun pattern (describe_table, list_tables, export_table_query), while read_query deviates slightly by using 'read' instead of a more specific verb like 'execute' or 'run'. The naming is mostly predictable and readable, with only minor inconsistency in the verb choice for one tool.
Four tools is a reasonable count for a database server, allowing core operations without being overwhelming. However, it feels slightly thin for full IoTDB coverage, as it lacks tools for table creation, deletion, or data insertion, which might be expected in a complete database interface.
The toolset is severely incomplete for a database server. It covers read operations (list, describe, query) and export, but lacks any write capabilities (create, insert, update, delete) or administrative functions. This creates significant gaps that will cause agent failures when trying to perform basic database management tasks.