confluence-mcp
Provides tools for searching, navigating, and retrieving Confluence pages and document trees, including extracting page content as plain text or HTML for AI analysis.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@confluence-mcpFetch subtree docs for the requirements page and summarize the content"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
confluence-mcp
面向 Atlassian Confluence Server 6.x 的 MCP,把某个页面层级下的文档树拉出来,供 Cursor / Codex 等 AI IDE 分析。
支持两种运行方式:
模式 | 适用场景 |
stdio(默认) | 本机 Cursor 直接拉起进程 |
HTTP / Streamable HTTP | 部署到局域网机器,多台 IDE 共用 |
工具
Tool | 作用 |
| 按标题查找页面(可带 spaceKey) |
| 递归列出某页下的子树(id / 路径 / depth) |
| 取单页正文(纯文本,可选 HTML) |
| 一次拉取整棵子树正文,供 AI 分析 |
示例:以某项目的需求文档根页面为例,pageId=<pageId>,空间 <space-key>。
Related MCP server: Confluence MCP Server
配置
复制 .env.example,用环境变量注入(不要把密码写进仓库):
CONFLUENCE_BASE_URL=http://<confluence-host>:<port>
CONFLUENCE_USERNAME=<your-username>
CONFLUENCE_PASSWORD=********
CONFLUENCE_SPACE_KEY=<space-key>HTTP mode (LAN / K8s) — server only needs base URL; users send Basic auth
MCP_TRANSPORT=http MCP_HOST=0.0.0.0 MCP_PORT=3100
## 本机运行(stdio)
```bash
cd confluence-mcp
npm install
npm run build
# Windows PowerShell 示例
$env:CONFLUENCE_BASE_URL="http://<confluence-host>:<port>"
$env:CONFLUENCE_USERNAME="<your-username>"
$env:CONFLUENCE_PASSWORD="********"
$env:CONFLUENCE_SPACE_KEY="<space-key>"
node dist/index.jsCursor mcp.json:
{
"mcpServers": {
"confluence": {
"command": "node",
"args": ["D:/vscode/mcps/confluence-mcp/dist/index.js"],
"env": {
"CONFLUENCE_BASE_URL": "http://<confluence-host>:<port>",
"CONFLUENCE_USERNAME": "<your-username>",
"CONFLUENCE_PASSWORD": "********",
"CONFLUENCE_SPACE_KEY": "<space-key>"
}
}
}
}部署到局域网(推荐)
可以。 把 MCP 跑在能访问 Confluence 的内网机器上(跳板机 / 同网段服务器),Cursor 通过 HTTP 连过去。
1. 在局域网机器上启动
cd confluence-mcp
npm install && npm run build
export CONFLUENCE_BASE_URL=http://<confluence-host>:<port>
export CONFLUENCE_SPACE_KEY=<space-key>
export MCP_TRANSPORT=http
export MCP_HOST=0.0.0.0
export MCP_PORT=3100
node dist/index.js --http
# → listening; clients must send Authorization: Basic ...健康检查:GET http://<lan-ip>:3100/health
也可用 systemd / nssm / Docker / K8s 常驻。防火墙放行 3100。
2. Cursor 连远端
每位同事在自己的 mcp.json 里填自己的 Confluence 账号(Basic):
{
"mcpServers": {
"confluence": {
"url": "http://<lan-ip>:3100/mcp",
"headers": {
"X-Confluence-Username": "你的用户名",
"X-Confluence-Password": "你的密码"
}
}
}
}不同 Cursor 版本对远端 MCP 字段略有差异;若
url不被识别,可用本机 stdio,或在本机用反向代理/SSH 隧道:ssh -L 3100:127.0.0.1:3100 user@lan-host,再把url写成http://127.0.0.1:3100/mcp。
部署拓扑
[Cursor / Codex] --X-Confluence-Username/Password--> [confluence-mcp] --REST(同一账号)--> [Confluence]要点:
MCP 必须放在能访问 Confluence 的网段。
每人在 mcp.json 填
X-Confluence-Username/X-Confluence-Password,权限随账号走。服务端只配置
CONFLUENCE_BASE_URL,不要存共享账号密码。工具参数可直接贴
viewpage.action?pageId=链接。大子树用
maxDepth/maxPages,避免一次塞爆模型上下文。
Podman 构建 & Kubernetes 部署
Podman 本地构建 / 试跑
cd confluence-mcp
podman build -t confluence-mcp:1.0.0 .
podman run --rm -p 3100:3100 \
-e CONFLUENCE_BASE_URL=http://<confluence-host>:<port> \
-e CONFLUENCE_SPACE_KEY=<space-key> \
confluence-mcp:1.0.0验证:curl http://127.0.0.1:3100/health
HTTP 模式不在服务端存用户密码。每位同事在 Cursor 里填两个字段即可:
{
"mcpServers": {
"confluence": {
"url": "http://<ingress-host>:3100/mcp",
"headers": {
"X-Confluence-Username": "你的用户名",
"X-Confluence-Password": "你的密码"
}
}
}
}也可仍用 Authorization: Basic ...(兼容)。
工具参数 page 支持直接粘贴链接,例如:
http://<confluence-host>:<port>/pages/viewpage.action?pageId=<pageId>
会自动抽出 pageId。也可用工具 resolve_page_link 先解析。
推到你们的镜像仓库(按实际 registry 改):
podman tag confluence-mcp:1.0.0 registry.example.com/confluence-mcp:1.0.0
podman push registry.example.com/confluence-mcp:1.0.0部署到 K8s
编辑
deploy/deploy.yaml:改image、Secret 里的CONFLUENCE_BASE_URL集群 Pod 必须能访问 Confluence 地址
应用清单:
kubectl apply -f deploy/deploy.yaml
kubectl get svc confluence-mcp confluence-mcp-nodeport -n <namespace>集群内:
http://confluence-mcp.<namespace>:3100/mcp局域网同事:用 Ingress / NodePort,Cursor 配置里填自己的 Basic 账号(见上)
{
"mcpServers": {
"confluence": {
"url": "http://<ingress>/mcp",
"headers": {
"X-Confluence-Username": "你的用户名",
"X-Confluence-Password": "你的密码"
}
}
}
}在对话里怎么用
「解析这个链接并列出子树:http://confluence.../pages/viewpage.action?pageId=」
「用 confluence 拉《示例项目》下文档」(标题 / pageId / 链接均可)
「拉取示例文档整棵子树正文并总结需求」
get_subtree_docs+maxDepth: 1只拿当前层级find_page/resolve_page_link按标题或链接定位
开发
npm run dev # stdio
npm run dev:http # http://0.0.0.0:3100/mcpThis server cannot be installed
Maintenance
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