GitHub
Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.
作者提供的说明(英文原文)
Atlassian Cloud for AI apps: Jira, Confluence, Bitbucket, Service Management, Admin and more.
这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。
我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。
选择你使用的 AI 应用,然后复制设置。
JIRA_CLOUD_PLATFORM_URL, JIRA_CLOUD_PLATFORM_USERNAME, JIRA_CLOUD_PLATFORM_PASSWORD标为机密的值是你账户的钥匙。千万不要分享给别人,也不要粘贴到聊天里。
你用的是哪个应用?
在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。
链接指向作者自己的文件;我们不托管也不重新打包它。打开文件后,Claude Desktop 会进行安装。
在终端中运行这条命令
运行前请先填写空着的值。
浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。
你的选择通过 Cookie 保存在这台设备上,无需账户。
这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日
注册名称已通过 GitHub 账户 imogenlabs 验证,该账户拥有此仓库
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
它在你的电脑上运行;我们只能读取互联网端点的工具列表
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
你需要填写:JIRA_CLOUD_PLATFORM_URL, JIRA_CLOUD_PLATFORM_USERNAME, JIRA_CLOUD_PLATFORM_PASSWORD
它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。
GitHub 仓库最后更新于–,最新版本(1.9.0)于3天前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 MCPB。
同一分类中有:GitHub, Desktop Commander, Cloudflare MCP
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.
MCP server for terminal commands, file operations, and process management
Cloudflare MCP servers
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
The complete Atlassian platform CLI and MCP Server.
1,843 API endpoints across Jira, Confluence, Agile, Marketplace, Service Desk, Assets, Compass, Bitbucket and Admin — in a single Go binary. SQLite-backed local sync with full-text search. MCP server for AI agents. Built for automation first, humans second.
Every Atlassian workflow you automate is a wall of curl calls with hand-rolled JSON payloads and fragile jq parsing. Every AI agent that touches Jira hits rate limits after a few dozen operations.
Keen replaces all of that with typed commands, structured output, local SQLite caching with FTS5 full-text search, and an MCP server that gives AI agents fast, uncapped access to your entire Atlassian stack.
Free and open source. Apache-2.0 license. No account required. No telemetry.
| API | Endpoints | What you get |
|---|---|---|
| Jira Platform v3 | 630 | Issues, transitions, search, bulk ops, fields, workflows, permissions |
| Jira Agile | 105 | Sprints, boards, backlogs, epics, ranking, velocity |
| Confluence | 130 | CQL search, spaces, labels, templates, attachments, permissions, content states |
| Confluence v2 | 252 | Pages, blog posts, spaces, folders, databases, whiteboards, comments, attachments, space roles |
| Marketplace v2 | 143 | Addons, versions, vendors, distribution, reviews, reporting |
| Service Desk | 75 | Requests, queues, customers, SLAs, approvals |
| Assets | 64 | Objects, object schemas and types, AQL search, imports (keen assets-...). keen finds your cloud and workspace ids from the site |
| Compass | 11 | Events, metric values, attachments and API specs for components |
| Teamwork Graph | 18 queries | Org chart (manager, direct reports, report chain), teams, a person's created, commented, mentioned and viewed work, over GraphQL (Teamwork Graph). Plus keen graphql for any read query |
| Bitbucket | 300 | Repositories, pull requests, pipelines, branches, commits, snippets, workspaces (keen bitbucket-...). Public data works without a token; private data needs a Bitbucket-scoped token (Authentication) |
| Admin | 133 | Organizations, directories, groups, domains, policies, user management, user provisioning (SCIM), API tokens and service accounts, data loss prevention. Needs an admin API key (Authentication) |
# 1. Install (macOS or Linux with Homebrew; see Install for .deb, .rpm and Docker)
brew install imogenlabs/tap/keen
mkdir -p ~/.config/keen cat > ~/.config/keen/auth.json <<'JSON' { "base_url": "https://yoursite.atlassian.net", "username": "you@example.com", "password": "your-api-token" } JSON chmod 600 ~/.config/keen/auth.json
keen doctor
keen sync
keen search "authentication bug" --data-source local
Generate an API token at id.atlassian.com/manage-profile/security/api-tokens.
Environment variables work too, and override the file:
export JIRA_CLOUD_PLATFORM_USERNAME="you@example.com"
export JIRA_CLOUD_PLATFORM_PASSWORD="your-api-token" export JIRA_CLOUD_PLATFORM_URL="https://yoursite.atlassian.net"
brew install imogenlabs/tap/keen
This installs both keen and keen-mcp. brew upgrade keen picks up new releases; the formula follows each release within a day.
Each release has .deb and .rpm packages for x86_64 (amd64) and arm64. They install keen and keen-mcp in /usr/bin.
# Debian, Ubuntu
curl -LO https://github.com/imogenlabs/keen/releases/latest/download/keen_linux_amd64.deb sudo apt install ./keen_linux_amd64.deb
curl -LO https://github.com/imogenlabs/keen/releases/latest/download/keen_linux_amd64.rpm sudo dnf install ./keen_linux_amd64.rpm
On arm64, use keen_linux_arm64.deb or keen_linux_arm64.rpm. To upgrade, install the new release's package the same way.
The image is on GitHub's registry and Docker Hub, for amd64 and arm64: ghcr.io/imogenlabs/keen or smashingtags/keen. It runs keen-mcp by default. To run the CLI, put keen and its arguments after the image name:
docker run --rm \
-e JIRA_CLOUD_PLATFORM_URL=https://yoursite.atlassian.net \ -e JIRA_CLOUD_PLATFORM_USERNAME=you@example.com \ -e JIRA_CLOUD_PLATFORM_PASSWORD=your-api-token \ ghcr.io/imogenlabs/keen keen get PROJ-42 --agent
Add -v keen-data:/home/nonroot to keep keen sync's local copy between runs. To use it as an MCP server, see Docker under MCP Server.
Download from GitHub Releases:
# macOS (Apple Silicon)
curl -L https://github.com/imogenlabs/keen/releases/latest/download/keen_darwin_arm64.tar.gz | tar xz sudo mv keen_darwin_arm64/keen /usr/local/bin/ sudo mv keen_darwin_arm64/keen-mcp /usr/local/bin/
curl -L https://github.com/imogenlabs/keen/releases/latest/download/keen_darwin_amd64.tar.gz | tar xz sudo mv keen_darwin_amd64/keen /usr/local/bin/ sudo mv keen_darwin_amd64/keen-mcp /usr/local/bin/
curl -L https://github.com/imogenlabs/keen/releases/latest/download/keen_linux_amd64.tar.gz | tar xz sudo mv keen_linux_amd64/keen /usr/local/bin/ sudo mv keen_linux_amd64/keen-mcp /usr/local/bin/
curl -L https://github.com/imogenlabs/keen/releases/latest/download/keen_linux_arm64.tar.gz | tar xz sudo mv keen_linux_arm64/keen /usr/local/bin/ sudo mv keen_linux_arm64/keen-mcp /usr/local/bin/
Each release also publishes checksums.txt.
git clone https://github.com/imogenlabs/keen.git
cd keen make build-all # builds bin/keen and bin/keen-mcp
Requires Go 1.26.10 or newer.
What changed in each release: CHANGELOG.md.
Keen includes an MCP server (keen-mcp) that gives AI agents every keen command (1,939 tools). Works with Claude Code, Cursor, Windsurf, and any MCP-compatible host.
It offers two tools: keen_search finds the tools for a task ("transition an issue", "list sprints on a board") and returns them with their parameters, and keen_run runs one by name. Listing all 1,939 tools one by one would take about half a million tokens, more than most models can hold, so an app connecting to keen would fill up before doing any work. To get the full list anyway, set KEEN_MCP_TOOLS=all in the server's environment.
Tool calls arrive as JSON-RPC over stdio. Finding a tool happens inside keen-mcp with no call to Atlassian. Running one goes to Atlassian, except that a read repeated within 5 minutes is answered from keen's cache, so a busy agent stays under Atlassian's rate limits. Any successful write clears the cache, so a read after a write is fresh. Set KEEN_MCP_CACHE=off to make every read live. If a tool's API has been switched off by Atlassian, the result says what to use instead.
Source: docs/diagrams/mcp-flow.drawio.
On a Mac, download keen-mcp.mcpb from the latest release and open it: Claude Desktop installs keen and asks for your Atlassian site, email and API token. keen is also listed in the official MCP registry as io.github.imogenlabs/keen, updated with every release.
keen-mcp finds credentials the same way the CLI does: environment variables first, then ~/.config/keen/auth.json or config.toml. If you already set up the CLI, claude mcp add --transport stdio keen -- keen-mcp is enough. To pass them explicitly instead:
claude mcp add --transport stdio keen \
--env JIRA_CLOUD_PLATFORM_USERNAME=you@example.com \ --env JIRA_CLOUD_PLATFORM_PASSWORD=your-api-token \ --env JIRA_CLOUD_PLATFORM_URL=https://yoursite.atlassian.net \ -- keen-mcp
Add to .cursor/mcp.json:
{
"mcpServers": { "keen": { "command": "keen-mcp", "env": { "JIRA_CLOUD_PLATFORM_USERNAME": "you@example.com", "JIRA_CLOUD_PLATFORM_PASSWORD": "your-api-token", "JIRA_CLOUD_PLATFORM_URL": "https://yoursite.atlassian.net" } } } }
Add to ~/.codeium/windsurf/mcp_config.json with the same structure.
Any MCP host can run keen-mcp from the image instead of installing it. The -e NAME flags pass the values from env into the container:
{
"mcpServers": { "keen": { "command": "docker", "args": ["run", "-i", "--rm", "-e", "JIRA_CLOUD_PLATFORM_URL", "-e", "JIRA_CLOUD_PLATFORM_USERNAME", "-e", "JIRA_CLOUD_PLATFORM_PASSWORD", "ghcr.io/imogenlabs/keen"], "env": { "JIRA_CLOUD_PLATFORM_URL": "https://yoursite.atlassian.net", "JIRA_CLOUD_PLATFORM_USERNAME": "you@example.com", "JIRA_CLOUD_PLATFORM_PASSWORD": "your-api-token" } } } }
Keen syncs your Atlassian data to a local SQLite database with FTS5 full-text search. Queries run in under 100ms against the local cache instead of hitting the Jira Cloud API.
keen sync # hydrate local cache
keen search "sprint bug" --data-source local # FTS search (sub-100ms) keen analytics # analytics on synced data keen stale --days 30 # find stale items keen orphans # find orphaned items keen load # workload distribution
This is especially useful for AI agents that need to make many queries without hitting Atlassian's rate limits.
Every command supports --agent which sets JSON output, no interactive prompts, compact format, and no color in one flag. Designed for AI agent consumption.
keen agile get-all-boards --agent
keen issue transitions get PROJ-42 --agent | jq '.results.transitions[] | {id, name}'
The everyday Jira calls have short forms:
keen find-issues --只显示了开头部分;其余内容请在仓库中阅读