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Enables connection to Salesforce Marketing data from Claude Desktop using CData JDBC Drivers.
Enables querying Phoenix data from Claude Desktop through CData JDBC Drivers via a read-only Model Context Protocol (MCP) server.
Enables connection to Oracle HCM Cloud data from Claude Desktop using CData JDBC Drivers.
Enables access to Oracle Financials Cloud data from Claude Desktop via CData JDBC Drivers, providing a read-only MCP Server.
Connects Neo4j data to Claude Desktop through CData JDBC Drivers.
Enables querying live monday.com data from Large Language Models through a Model Context Protocol (MCP) interface.
Connects agents to Elasticsearch data, enabling natural language interaction with indices through the Model Context Protocol.
Enables running SQL queries and exposes data insights and schema context from Snowflake databases.
Facilitates interaction between an Agent Development Kit (ADK) agent and a local SQLite database via a Model Context Protocol (MCP) server.
Manages video metadata, including game information, teams, scores, and sports-related data, using a PostgreSQL database.
Provides a full-stack React framework setup with secure authentication and database integration for modern web development.
Provides tools for querying, inserting, updating, and deleting tax alert data in a database, dynamically triggered by an AI agent.
Serves as a foundational FastAPI application demonstrating integration with the Model Context Protocol for client communication.
Empowers developers to query and mutate PostgreSQL data via simple YAML configurations, serving it over MCP transports like HTTP or STDIO.
Construct a local client for the Model Context Protocol (MCP) using LlamaIndex to interact with local servers.
Enables seamless AI integration with HAP (Hyper Application Platform) applications through the Model Context Protocol.
Provides Claude Desktop with secure access to multiple database connections through a web-based management interface.
Manages multiple Fireproof JSON document databases via the Model Context Protocol for integration with AI systems.
Connects AI systems to Elasticsearch clusters through a standardized Model Context Protocol interface.
Demonstrates how to build and use different types of Model Context Protocol (MCP) servers, including database search, GitHub search, and time services.
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