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。
Automatically creates MCP resources based on database schema and configuration.
Interacts with PostgreSQL databases through the Model Context Protocol (MCP).
Enables programmatic interaction with Google Sheets and Google Drive through a Model Context Protocol server, utilizing OAuth2 authentication.
Enables running SQL queries and exposes data insights and schema context from Snowflake databases.
Leverages a Neo4j-backed knowledge graph and AI agents to provide real-time recipe querying, web scraping, dynamic graph updates, and personalized cooking assistance.
Connects Large Language Models to live Zoho Books data for natural language querying.
Enables Large Language Models to query live TaxJar data by exposing it as relational SQL models through an MCP interface.
Exposes JSON data as a read-only Model Context Protocol (MCP) server for querying by Large Language Models.
Automatically synchronizes multi-tenant search vectors with Supabase using a 100% event-driven system.
Documents and analyzes LLM safety challenges within the Grey Swan Arena competitions.
Bridges AI models with Stardog knowledge graphs, providing a standardized interface for semantic data access via SPARQL, GraphQL, and schema discovery.
Connects Dynamics 365 data to Claude Desktop using CData JDBC drivers through a read-only interface.
Enables connecting to Box data from Claude Desktop using CData JDBC drivers via a read-only MCP server.
Calculates approximate hardware requirements for dedicated search nodes on MongoDB Atlas, supporting both lexical and vector search use cases.
Provides AI assistants with access to comprehensive bird data via the AviBase dataset.
Enables querying live Microsoft Dataverse data from Large Language Models using natural language via a Model Context Protocol (MCP) interface.
Provides natural language access and query capabilities for a MongoDB movie database.
Enables querying of live Elasticsearch data from Claude Desktop using CData JDBC Drivers through a read-only MCP interface.
Enables searching drugs and exploring ontology terms within the Cortellis database.
Integrates MongoDB databases with AI assistants, enabling natural language queries for CRUD operations, aggregations, and database management.
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