What is a #ai-connector MCP server?
An MCP server tagged #ai-connector implements the Model Context Protocol so AI assistants like Claude, Cursor, and VS Code can access ai-connector-related tools, data, or APIs.
Every MCP server and client below is tagged #ai-connector — install one to give Claude, Cursor, VS Code, or any other MCP-compatible client access to ai-connector tools.
aashari
Node.js/TypeScript MCP server for Atlassian Bitbucket. Enables AI systems (LLMs) to interact with workspaces, repositories, and pull requests via tools (list, get, comment, search). Connects AI directly to version control workflows through the standard MCP interface.
aashari
Node.js/TypeScript MCP server for Atlassian Jira. Equips AI systems (LLMs) with tools to list/get projects, search/get issues (using JQL/ID), and view dev info (commits, PRs). Connects AI capabilities directly into Jira project management and issue tracking workflows.
aashari
Node.js/TypeScript MCP server for Atlassian Confluence. Provides tools enabling AI systems (LLMs) to list/get spaces & pages (content formatted as Markdown) and search via CQL. Connects AI seamlessly to Confluence knowledge bases using the standard MCP interface.
Common questions about MCP servers and clients tagged #ai-connector
An MCP server tagged #ai-connector implements the Model Context Protocol so AI assistants like Claude, Cursor, and VS Code can access ai-connector-related tools, data, or APIs.
mcp.so currently lists 3 MCP servers and clients tagged #ai-connector.
Open any server below and copy its install snippet into Claude Desktop, Cursor, VS Code, or another MCP client's configuration — remote servers need no separate download.