A high-performance MCP server implemented in Go language, providing AI agents and applications with the ability to query and access the Redfish API through natural language, enabling intelligent management and monitoring of data center infrastructure.

MCP Jira is an integration service designed for Jira Cloud, providing the function of searching for and reading Jira issues. It does not support Jira Server or Data Center.

A personal data aggregation center based on the MCP protocol, allowing AI assistants to access personal data from multiple platforms and providing a personalized interaction experience.

This project provides MCP integration for Atlassian Data Center products (Jira, Confluence, Bitbucket), supporting AI assistants to interact with these products through a standardized interface.

An MCP server for interacting with Confluence Data Center via REST API, providing functions such as content query, creation, update, and deletion.

A comprehensive modern Python wrapper for the Planning Center API, using Pydantic and asynchronous mode, providing type - safe data access, Webhook handling, and MCP server integration, supporting all Planning Center products.

This project integrates the Planning Center Online API with the MCP server, enabling users to query and operate Planning Center data through natural language.

MCP Atlassian is an integrated tool that provides Model Context Protocol services for Atlassian products (Confluence and Jira). It supports cloud and server/data - center deployments and can implement functions such as content search, page management, and issue tracking.

This is an MCP server for accessing and analyzing data from the Google Ads Transparency Center. It can query enterprise advertising campaigns, analyze advertising content (including images and videos), compare the advertising strategies of different companies, and provide insights into advertising effectiveness.

A server based on FastMCP that provides tools for interacting with the Planning Center People API, supporting querying and filtering of personnel data, including various filtering conditions such as background checks, roles, and age ranges.