What environment variables are required?
You must set `CONFLUENCE_URL` (e.g., `https://XXXX.atlassian.net/wiki`), `CONFLUENCE_API_MAIL` (your email), and `CONFLUENCE_API_KEY` (generated from Atlassian API tokens).
@KS-GEN-AI
基本信息
A test of confluence mcp server
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"confluence-mcp-server": {
"command": "npx",
"args": [
"-y",
"@smithery/cli",
"install",
"@KS-GEN-AI/confluence-mcp-server",
"--client",
"claude"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。
Confluence Communication Server MCP Server is a TypeScript‑based MCP server that provides tools to interact with Confluence. It is designed for developers using MCP clients (e.g., Claude Desktop) to search, retrieve, and update Confluence pages programmatically.
Install the server automatically via Smithery (npx -y @smithery/cli install @KS-GEN-AI/confluence-mcp-server --client claude) or add it manually to your Claude Desktop configuration. Set the environment variables CONFLUENCE_URL, CONFLUENCE_API_MAIL, and CONFLUENCE_API_KEY, then use the provided tools (execute_cql_search, get_page_content, update_page_content) to interact with your Confluence instance.
You must set `CONFLUENCE_URL` (e.g., `https://XXXX.atlassian.net/wiki`), `CONFLUENCE_API_MAIL` (your email), and `CONFLUENCE_API_KEY` (generated from Atlassian API tokens).
It provides three tools: `execute_cql_search` (CQL query with optional limit), `get_page_content` (by pageId), and `update_page_content` (by pageId, content, and optional title).
Install via Smithery with `npx -y @smithery/cli install ...` or manually add the server config to `claude_desktop_config.json` with the build path and environment variables.
Use the MCP Inspector by running `npm run inspector`, which provides a URL for debugging over stdio.
Yes, it uses Confluence’s standard API token authentication by requiring `CONFLUENCE_API_MAIL` and `CONFLUENCE_API_KEY` in the environment. No other transport is mentioned.

Local AI agent for your Mac with a built-in MCP server: 18 tools for your notes and PDFs, a temporal memory graph, an on-device LLM and a neural voice. No account, no telemetry. No data centers required.

Model Context Protocol Servers
Person-owned, portable AI memory served over MCP. Your knowledge, preferences, and decisions — captured in one assistant, available in all of them.

Orcha is a unified context layer for AI tools and agents. It stores and indexes and exposes organizational, team, or individual knowledge. Files, structured databases, and connected sources live in one workspace, and age

Exact, shared memory for AI agents: a hierarchical database where totals always add up, every write is attributed to the agent and person behind it, and any figure traces back to its source file. Agents create databases,
评论