Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
作者提供的说明(英文原文)
Access Bugfender logs, crashes, devices, and user feedback from MCP-enabled clients.
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。
BUGFENDER_API_TOKEN, BUGFENDER_REFRESH_TOKEN, BUGFENDER_API_URL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。
你需要
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 …”。
打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json
{
"mcpServers": {
"bugfender": {
"command": "npx",
"args": [
"-y",
"@bugfender/mcp"
],
"env": {
"BUGFENDER_API_TOKEN": "your-value",
"BUGFENDER_REFRESH_TOKEN": "your-value",
"BUGFENDER_API_URL": "your-value"
}
}
}
}在终端中运行这条命令
claude mcp add bugfender --env BUGFENDER_API_TOKEN=your-value --env BUGFENDER_REFRESH_TOKEN=your-value --env BUGFENDER_API_URL=your-value -- npx -y @bugfender/mcp运行前请先填写空着的值。
粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"bugfender": {
"command": "npx",
"args": [
"-y",
"@bugfender/mcp"
],
"env": {
"BUGFENDER_API_TOKEN": "your-value",
"BUGFENDER_REFRESH_TOKEN": "your-value",
"BUGFENDER_API_URL": "your-value"
}
}
}
}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。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"bugfender": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@bugfender/mcp"
],
"env": {
"BUGFENDER_API_TOKEN": "your-value",
"BUGFENDER_REFRESH_TOKEN": "your-value",
"BUGFENDER_API_URL": "your-value"
}
}
}
}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。
BUGFENDER_API_URL env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6日
注册名称已通过 GitHub 账户 bugfender 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:BUGFENDER_API_TOKEN, BUGFENDER_REFRESH_TOKEN
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(0.6.0)于5个月前进入注册中心。
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 Node.js。
同一分类中有:Spec Driven Development, Remote Desktop Commander, Symantec Cloud DLP AIops
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
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Governed Symantec Cloud DLP — 14 MCP tools, read-only with audit.
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。
Bugfender's hosted MCP service connects AI clients to Bugfender through remote Streamable HTTP and OAuth:
https://mcp.bugfender.com/mcp
The @bugfender/mcp npm package remains available as a deprecated local stdio fallback for existing and self-hosted installations.
bugfender/bugfender-skillsIn ChatGPT or Codex, install the public Bugfender plugin and connect the included Bugfender app. In any compatible remote MCP client, add https://mcp.bugfender.com/mcp and choose OAuth authentication.
The client discovers the protected resource and Bugfender authorization server, opens the Bugfender sign-in and consent UI, and manages short-lived access and refresh tokens. Hosted users must not manually copy an API token into the connection.
mcp:read grants read-only access to identity, teams, apps, SDK metadata, logs, devices, crashes, issues, feedback, network data, and summaries the signed-in user can already access.mcp:issues:write grants only update_issue_status. It does not grant general Bugfender administration or other write operations.Use the client's Bugfender Disconnect action to revoke the hosted grant and its access and refresh tokens. If a client lists the plugin and connection separately, disconnect the connection before uninstalling the plugin. A future tool call must start a new OAuth flow.
The hosted MCP forwards the request bearer token to the Bugfender API and returns data the signed-in user is authorized to access. It does not persist user credentials or expose them in tool results. The MCP client and AI provider may separately process tool inputs and return Bugfender data under their own privacy and retention terms. See Bugfender's Privacy Policy and Terms of Service.
Existing installations and clients without remote OAuth can continue to run:
npx -y @bugfender/mcp
Do not use this setup for a new public-cloud connection. Prefer the hosted URL or public plugin instead.
After adding or updating the MCP server in your IDE or agent, restart that client so it reloads the new MCP configuration cleanly.
If you are running from inside this repository checkout, do not use npx @bugfender/mcp or npx -p @bugfender/mcp bugfender-mcp. npm can resolve the current package instead of the published tarball and fail with bugfender-mcp: not found.
For local development, build and run the generated entrypoint directly:
pnpm build
pnpm start
BUGFENDER_API_TOKEN: required access tokenBUGFENDER_REFRESH_TOKEN: recommended for automatic token refreshBUGFENDER_API_URL: optional override, defaults to https://dashboard.bugfender.com/api~/.bugfender/mcp.json: optional config file and local token store for rotated credentials{
"default": { "apiToken": "YOUR_ACCESS_TOKEN", "refreshToken": "YOUR_REFRESH_TOKEN", "apiUrl": "https://dashboard.bugfender.com/api" } }
When a refresh token is provided, the MCP stores rotated credentials in ~/.bugfender/mcp.json so automatic refresh survives restarts. Updating the IDE config with a newly generated refresh token resets that local state.
These credentials and the local token store apply only to the stdio executable. The hosted HTTP executable reads a bearer token from each request and never reads or writes ~/.bugfender/mcp.json.
If you are using local or self-hosted Bugfender credentials, BUGFENDER_API_URL must point to the matching backend. For example, local credentials generated from https://dashboard:3000 will not work against https://dashboard.bugfender.com/api.
{
"mcpServers": { "bugfender": { "command": "npx", "args": ["-y", "@bugfender/mcp"], "env": { "BUGFENDER_API_TOKEN": "YOUR_ACCESS_TOKEN", "BUGFENDER_REFRESH_TOKEN": "YOUR_REFRESH_TOKEN", "BUGFENDER_API_URL": "https://dashboard.bugfender.com/api" } } } }
codex mcp add bugfender \
--env BUGFENDER_API_TOKEN='YOUR_ACCESS_TOKEN' \ --env BUGFENDER_REFRESH_TOKEN='YOUR_REFRESH_TOKEN' \ --env BUGFENDER_API_URL='https://dashboard.bugfender.com/api' \ -- npx -y @bugfender/mcp
After running codex mcp add, restart the Codex session before testing who_am_i or list_apps.
gemini mcp add bugfender npx -y @bugfender/mcp \
--env BUGFENDER_API_TOKEN='YOUR_ACCESS_TOKEN' \ --env BUGFENDER_REFRESH_TOKEN='YOUR_REFRESH_TOKEN' \ --env BUGFENDER_API_URL='https://dashboard.bugfender.com/api'
After running gemini mcp add, start a new Gemini CLI session or reload MCP servers before testing who_am_i or list_apps.
In the custom MCP server form:
Name: bugfenderCommand to launch: npxArgument 1: -yArgument 2: @bugfender/mcpBUGFENDER_API_TOKEN: YOUR_ACCESS_TOKENBUGFENDER_REFRESH_TOKEN: YOUR_REFRESH_TOKENBUGFENDER_API_URL: https://dashboard.bugfender.com/apiAdd the arguments as separate rows, not as one combined string.
After saving the server, restart the app before testing who_am_i or list_apps.
Build and start the HTTP entry point with:
pnpm build
pnpm start:http
It exposes:
POST /mcp: stateless MCP Streamable HTTP endpointGET /healthz: liveness checkGET /readyz: readiness checkTLS is terminated by the production ingress. Every /mcp request must include Authorization: Bearer . The process creates an isolated MCP server and Bugfender API client for that request; the token is neither shared nor persisted.
Hosted configuration:
BUGFENDER_API_URL (default https://dashboard.bugfender.com/api)BUGFENDER_MCP_HOST (default 0.0.0.0)BUGFENDER_MCP_PORT (default 3002)BUGFENDER_MCP_MAX_REQUEST_BYTES (default 1048576)BUGFENDER_MCP_MAX_RESPONSE_BYTES (default 524288)BUGFENDER_MCP_MAX_CONCURRENCY (default 100)BUGFENDER_MCP_REQUEST_TIMEOUT_MS (default 35000)BUGFENDER_MCP_SHUTDOWN_TIMEOUT_MS (default 10000)The hosted entry point uses JSON response mode within the Streamable HTTP protocol. It is intentionally stateless, so GET and DELETE on /mcp return 405 Method Not Allowed.
The production container can be built and exercised locally with:
docker build -t bugfender-mcp .
docker run --rm --read-only --tmpfs /tmp:rw,noexec,nosuid,size=16m \ -p 3002:3002 bugfender-mcp
The image runs as UID/GID 10001, writes structured JSON logs to stderr, and exposes Prometheus metrics on GET /metrics for cluster-internal scraping.
Hosted mode publishes OAuth protected-resource metadata at GET /.well-known/oauth-protected-resource. Authentication challenges point clients to that document. Production defaults to resource https://mcp.bugfender.com, issuer https://app.bugfender.com, and API https://app.bugfender.com/api; staging deployments must override BUGFENDER_MCP_RESOURCE_URL and BUGFENDER_OAUTH_ISSUER and BUGFENDER_API_URL with their staging origins. Documentation, privacy, and terms links can be overridden with BUGFENDER_MCP_DOCUMENTATION_URL, BUGFENDER_MCP_PRIVACY_POLICY_URL, and BUGFENDER_MCP_TERMS_URL.
https://mcp.bugfender.com/mcp; the OAuth resource is the origin https://mcp.bugfender.com without /mcp.BUGFENDER_API_TOKEN or paste a bearer token into a remote-hosted connection.update_issue_status requires mcp:issues:write; investigation tools require mcp:read.BUGFENDER_API_URL to their backend.who_am_ilist_teamslist_appsget_applist_app_versionsget_sdk_snippetget_crashesget_crash_statsget_crash_device_statsget_crash_detailssearch_logscount_logscount_devices_with_logsget_network_aggregatesget_network_detailssearch_devicescount_deviceslist_issuesget_issueupdate_issue_statusget_issue_statsget_issue_device_statsget_issue_devicesget_feedbackget_app_summarybugfender://snippet/{app_id}/{platform}bugfender://app/{app_id}/logs?...bugfender://issue/{issue_id}?app_id={app_id}The companion skills now live in the separate bugfender/bugfender-skills repository. They encode opinionated workflows on top of the MCP tools:
The MCP package gives the agent raw Bugfender capabilities. The skill adds an opinionated investigation workflow on top of those capabilities.
Use the skill when you want Cursor, Codex, or Claude Code to do things like:
The investigation skill source lives in:
https://github.com/bugfender/bugfender-skills/tree/main/skills/bugfenderThe dedicated onboarding skill also lives in bugfender/bugfender-skills.
Use it when you want Cursor, Codex, or Claude Code to:
It also includes platform-specific references for:
The skill source lives in:
https://github.com/bugfender/bugfender-skills/tree/main/skills/bugfender-sdk-setupCursor, Codex, and Claude Code can install the skills directly from GitHub without cloning the repo manually.
In the agent chat inside your IDE, run this prompt with the built-in installer skill:
Use $skill-installer to install these skills from https://github.com/bugfender/bugfender-skills:
After installation, restart the client and use:
Use $bugfender-sdk-setup to set up Bugfender in this app with the minimum required changes.