database management向けの厳選されたMCPサーバーコレクションをご覧ください。1460個のサーバーを閲覧し、ニーズに最適なMCPを見つけましょう。
Interacts with PostgreSQL databases through the Model Context Protocol (MCP).
Connects Claude Desktop to Intacct data through a read-only Model Context Protocol (MCP) server using CData JDBC Drivers.
Enables querying live Microsoft Dataverse data from Large Language Models using natural language via a Model Context Protocol (MCP) interface.
Enables Large Language Models (LLMs) to query live PingOne data and interact with it using natural language through a standardized Model Context Protocol (MCP) interface.
Exposes JSON data as a read-only Model Context Protocol (MCP) server for querying by Large Language Models.
Enables large language models to query live WooCommerce data via a simplified Model Context Protocol interface.
Enables LLMs to interact with Redis key-value stores through a standardized protocol.
Enables AI assistants with seamless, intelligent access to SAP Datasphere APIs for comprehensive data exploration and management.
Exposes CSV files as relational SQL models for querying by Large Language Models using natural language.
Provides SQL-based access to volleyball match, team, and tournament data.
Connects Claude Desktop to ServiceNow data through CData JDBC Drivers.
Enables AI assistants like Cursor and Claude Desktop to securely query MySQL databases via the Model Context Protocol.
Enables AI agents to execute a wide range of SQL operations, including read, create, insert, update, and delete, against a MySQL database.
Establishes a connection to an Oracle database for Model Context Protocol servers.
Connects Large Language Models (LLMs) and AI clients to live Cloudant data via a Model Context Protocol (MCP) interface.
Connects Large Language Models (LLMs) to live Outreach.io data via a Model Context Protocol (MCP) interface, enabling natural language queries without SQL.
Serves Google Cloud Datastore with simple query and management capabilities via the Model Context Protocol (MCP).
Automates the retrieval, analysis, and storage of GitHub pull request data using the GitHub API, MongoDB, and the FastMCP framework.
Connects AI tools to a Supabase database, enabling queries of the feature_suggestions table.
Provides an MCP server interface for PostgreSQL database introspection and analysis.
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