发现我们为 database management 精心策划的 MCP 服务器集合。浏览 1319 个服务器,找到满足您需求的完美 MCP。
Provides AI models with structured access to Trino's distributed SQL query engine via the Model Context Protocol.
Enables agents like Cursor to interact with the Neon REST API through a lightweight MCP server.
Connects AI assistants to DuckDB for powerful data analysis through the Model Context Protocol.
Enables interaction with Timeplus clusters through an MCP server, providing tools for querying, listing databases and tables, and managing Kafka topics and streams.
Automates comprehensive Google Sheets operations, including CRUD, through an MCP-compatible API layer for seamless integration with various clients.
Enables Large Language Models (LLMs) to build full-stack solutions by providing access to Aiven services like PostgreSQL, Kafka, ClickHouse, Valkey, and OpenSearch.
Enables Large Language Models to interact with and query Microsoft SQL Server databases.
Enables interaction with Opensearch clusters for document searching, index analysis, and cluster management.
Organizes and manages various sources, such as papers, books, and webpages, integrating them with knowledge graphs.
Connects to PostgreSQL databases, executes read-only SQL queries, and provides detailed table information through MCP-compatible clients.
Connects large language models to the Firebolt data warehouse.
Provides Large Language Models transparent access to ODBC-accessible data sources.
Enables read-only queries for TDengine databases, allowing AI assistants to explore data and database structures.
Enables LLMs to read, write, and manage schemas in PostgreSQL databases.
Manages aaPanel server instances by providing remote access to system information, website configurations, databases, Docker containers, and email accounts.
Enables agentic AI applications to interact with IBM i systems through a robust Model Context Protocol (MCP) server.
Enables querying of Dataverse environments using SQL through the Model Context Protocol (MCP).
Provides administrators with a server to manage QueryPie instances, enabling monitoring and management capabilities.
Enables analysis of clinical trial data from the AACT database, tracking development trends, and generating analysis memos.
Enables AI assistants to interact with Meilisearch through a standardized Model Context Protocol (MCP) interface.
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