# Data access

Model Context Protocol (MCP) is an open-source protocol that provides a series of reference implementations and community-developed servers, enabling large language models (LLMs) to securely and controllably access tools and data sources. The project includes various types of server implementations covering multiple domains such as file systems, databases, Git, and Slack, demonstrating the diversity and scalability of MCP.

A server that provides local Apple Notes database access for the Claude desktop client, supporting reading and searching of note content.

This project is a collection of reference implementations for the Model Context Protocol (MCP), including MCP server implementations for various tools and services, aiming to provide secure and controllable access to tools and data sources for large language models (LLMs).

The Synapse MCP Server is a service that provides a RESTful API for accessing Synapse entities and their annotations through the Model Context Protocol (MCP), supporting OAuth2 authentication.

MCP service integration for the Productboard API

The Model Context Protocol (MCP) is an open - source protocol that provides a series of reference implementations and community - developed servers. It aims to provide large language models (LLMs) with secure and controllable access to tools and data sources. These servers demonstrate the diversity and scalability of MCP, covering various functions from file system operations to database integration, from web search to AI image generation.

The OpsLevel MCP Server is a tool based on the Model Context Protocol (MCP) that allows AI to interact with OpsLevel accounts and provides read-only access to various resources.

A server project that allows LLMs to directly access Google Sheets data via the MCP protocol