Context7
Up-to-date docs for AI agents
제작자가 쓴 설명(영어 원문)
Search Thousands of jobs, Thousands of companies. MCP for Claude, ChatGPT, Codex and Cursor.
이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.
이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.
쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.
Authorization비밀로 표시된 값은 내 계정의 열쇠예요. 절대 다른 사람과 공유하거나 채팅에 붙여 넣지 마세요.
필요한 것
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
이 주소는 요청 header에 키가 필요한데, 커넥터 추가 메뉴에서는 넣을 수 없어요. 대신 Claude Code, Cursor, VS Code를 쓰세요.
Claude Desktop → Settings → Developer → Edit Config를 열고 claude_desktop_config.json에 이 내용을 붙여 넣으세요
{
"mcpServers": {
"trackly": {
"command": "npx",
"args": [
"-y",
"trackly-cli",
"mcp"
]
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add --transport http trackly https://mcp.usetrackly.app/api/mcp --header 'Authorization: your-value'claude mcp add trackly -- npx -y trackly-cli mcp실행하기 전에 빈 값을 채워 주세요.
프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"trackly": {
"url": "https://mcp.usetrackly.app/api/mcp",
"headers": {
"Authorization": "your-value"
}
}
}
}프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"trackly": {
"command": "npx",
"args": [
"-y",
"trackly-cli",
"mcp"
]
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"trackly": {
"type": "http",
"url": "https://mcp.usetrackly.app/api/mcp",
"headers": {
"Authorization": "your-value"
}
}
}
}프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"trackly": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"trackly-cli",
"mcp"
]
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
이 주소는 요청 header에 키가 필요한데, 커넥터 추가 메뉴에서는 넣을 수 없어요. 대신 Claude Code, Cursor, VS Code를 쓰세요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
Authorization 비밀 HTTP header이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
서버가 도구 목록을 보여 주기 전에 로그인을 요구해요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 6일 점검
레지스트리 이름이 GitHub 계정 trackly-app 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
850ms 만에 응답(HTTP 401)
OAuth 로그인을 지원한다고 밝혀서, AI 앱이 로그인 화면으로 안내해 줘요
아직 점검하지 않았어요. 엔드포인트를 점검할 때 도구 목록을 읽어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 3개 중 3개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.
입력해야 할 값: Authorization
둘 다 가능해요. 내 컴퓨터에 설치해도 되고, 클라우드 버전에 연결해도 돼요.
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(0.25.0)은 어제 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. URL로 연결되기 때문에, 원격 MCP 서버를 지원하는 앱(예: 개발자 모드의 ChatGPT)에서도 쓸 수 있어요.
같은 카테고리에는: Context7, Codebase Memory, Exa
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
Up-to-date docs for AI agents
Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
Connect AI agents to Exa for web search, content fetching, and multi-step research.
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
The only job tracking CLI built for AI agents.
Search 250K+ jobs across 5,400+ companies and 40+ ATS types. Track applications, get AI-powered recommendations, and manage your job search -- from the terminal or through Claude, ChatGPT, Cursor, and other MCP-compatible AI agents.
Use Trackly directly inside your AI — zero config:
https://mcp.usetrackly.app/api/mcp[Full setup guide with screenshots →](https://usetrackly.app/connector)
Works in: Claude co-work (web), Claude Desktop, ChatGPT Connectors, and any MCP client that supports remote/streamable-http connectors.
npm install -g trackly-cli # may need: sudo npm install -g trackly-cli
trackly login trackly jobs --function product
Prerequisites: Node.js 20.20+ or 22.22+ (LTS recommended). On macOS with the official
.pkginstaller, global npm installs may requiresudo.
5,400+ companies | 250K+ jobs | 40+ ATS types | CLI + MCP | 58 local + 55 hosted MCP tools
trackly jobs # List jobs
trackly jobs --remote # Filter remote jobs (sets usStates=REMOTE) trackly jobs --region us # Filter by region (us, non_us, all, or a region tag: europe, canada, remote, ...) trackly jobs --job-type internship # Filter by employment type (full_time, internship, all) trackly jobs --work-arrangement hybrid,remote # Filter by work arrangement independently trackly jobs --function product # Filter by function trackly jobs --sponsorship exclude_no # Visa sponsorship filter (all, exclude_no, only_yes) trackly jobs --company 243 # Filter by company ID trackly job 1234 # Get job details trackly jobs 1234 # Alias for job details trackly companies # List companies trackly companies search "fintech" # Semantic company search trackly search "fintech" # Alias for semantic company search trackly stats # Show metrics trackly status # Alias for stats trackly preferences # Show discovery preferences and experience limits trackly preferences experience product=2 strategy=5 # Replace role-specific limits trackly preferences experience clear # Turn role-specific experience filtering off trackly apply 1234 # Mark as applied trackly save 1234 # Save a job trackly dismiss 1234 # Dismiss a job trackly ask "PM jobs in SF" # Natural language search (20/day) trackly contacts "Stripe" # Search contacts at a company trackly brief 1234 # Get network brief for a job trackly referral start 1234 # Start a referral campaign trackly referral status 1234 # Check referral campaign status trackly company-brief 243 # Get company brief (--refresh to regenerate) trackly company-workspace 243 # Full company workspace view trackly request-company "eBay" # Request a company be added (--url, --notes optional) trackly api-key create # Generate API key trackly api-key list # List API keys trackly config # Show current CLI config trackly config --api-key trk_xxx # Save an API key for future commands trackly version # Show installed version trackly whoami # Show current user trackly logout # Clear credentials trackly agent setup --client both # Install Trackly Apply for Codex + Claude Code trackly agent doctor # Verify setup, profile, resume, and compatibility trackly agent diagnose-path /path/to/upload.pdf --errno ENOSPC --json # Diagnose one exact local path
Add --json to any command for JSON output. Use --api-key or --base-url as one-off global flags when needed.
trackly preferences --json returns only success, experienceFilterV2Available, and preferences. The availability flag controls whether this client may edit role-specific limits; it does not claim that feed or alert enforcement is active. Every update checks that flag and the latest preference revision before writing.
No install. In your AI tool, open Settings → Connectors → Add custom connector and enter:
https://mcp.usetrackly.app/api/mcp
Sign in with Google when prompted. Full visual guide →
Claude Code can use the same hosted server over OAuth:
claude mcp add --transport http trackly https://mcp.usetrackly.app/api/mcp
OAuth sign-in is the default for every client. An API key is optional and only needed for headless clients that cannot complete an interactive sign-in: send Authorization: Bearer trk_... with a key from Settings → API Keys.
Remote connections get 55 hosted tools. They share the search, company, status, and Apply tools with the local server and add trackly_chat; the 4 local-only tools listed below are not available remotely. Hosted setup and tool details are at usetrackly.app/connector.
For agent-assisted form filling on macOS, install the public skill and local MCP together:
trackly agent setup --client codex # or claude / both
trackly agent doctor
For an existing MCP configuration or a Cloud harness, use trackly agent setup --client both --skills-only. This installs the same checksummed skill for both native clients without invoking their MCP commands or changing authentication. CLI 0.20.1 carries universal skill 4.9.1; its policy revision is the same numeric version, superseding the personal revisions. The policy accepts a documented markHandoff() guarantee with awaited calls, exact current tab checks, and revalidation on later turns. These observations are never reported as returned persistence receipts. Browser capabilities and manual Submit remain separate requirements; installation does not make a Linux browser supported. The separately installed trackly:trackly-apply plugin is updated through its plugin manager; plugin 1.1.1 carries the same browser and profile lookup policies. This setup command does not patch plugin caches.
The skill uses the profile and default resume in your Trackly account, asks only missing questions, fills user-approved saved jobs, and always stops before Submit. “Fill the next N” continues through the original recent-first Check Later snapshot until N unauthenticated forms are durably ready for your manual review; authentication walls and exclusions are reported separately and do not consume the target. An explicit “inspect the next N records” request still uses one fixed immutable batch. Support is fetched from Trackly at the start of every run: Greenhouse is full, Ashby and Lever are best effort, and 27 additional named ATS/provider classes use constrained guided mode. Employer-hosted unknown forms run only when Trackly binds them to a verified company domain. LinkedIn-hosted forms and unverified origins remain manual-only; a separately stored external application URL is evaluated under its own ATS and origin policy.
Guided mode is deliberately fail-closed. The agent stops on credential entry, OTP/email verification, CAPTCHA/human verification, an unexpected employer or origin, a submit-only transition, or any field whose committed state cannot be observed. trackly agent doctor checks the local skill, MCP registration, protocol compatibility, declared browser/computer-use configuration, profile completeness, and default-resume metadata. Live semantic browser capability and the exact resume bytes are verified at the start of a real run.
claude mcp add --scope user trackly -- trackly mcp
Or equivalently:
claude mcp add-json --scope user trackly '{"command":"trackly","args":["mcp"]}'
Add to a project-scoped .mcp.json:
{
"mcpServers": { "trackly": { "command": "trackly", "args": ["mcp"] } } }
Add to .cursor/mcp.json or ~/.cursor/mcp.json (same schema works for Windsurf):
{
"mcpServers": { "trackly": { "command": "trackly", "args": ["mcp"] } } }
Then use natural language in any of these clients:
trackly_search_jobs supports multiple roles and regions, US states and Canadian provinces, internship education levels, favorite companies, posting windows, annual USD salary floors, incremental sync, work arrangement, sponsorship and pipeline status. Exact values and examples. Search returns 20 jobs by default; request up to 100 and use offset to page.
For sponsorship, “exclude no” keeps yes and not mentioned. Use exclude_no; only_yes excludes jobs with unknown sponsorship. Ask the user when intent is ambiguous. Salary floors also keep unknown and non-comparable salaries visible. Unsupported industry/specialization/literal-search controls are rejected.
For a local server without a global package install, run npx -y trackly-cli mcp. For Codex, use codex mcp add trackly -- npx -y trackly-cli mcp; Cursor and Windsurf can use "command": "npx", "args": ["-y", "trackly-cli", "mcp"]. Authenticate with npx -y trackly-cli login first, or configure TRACKLY_API_KEY.
Existing global installs require npm install --global trackly-cli@latest. Restart the MCP process/client and refresh tool discovery after updating. For native skills and marketplace plugin updates, follow the release and update guide. Hosted and local releases are separate: the current client schema is authoritative.
The local stdio server (trackly mcp) registers the 58 tools below. Four are local-only because they run their checks on your machine: trackly_diagnose_local_path, trackly_lint_application_text, trackly_validate_apply_resume_upload, and trackly_validate_apply_tab_keep_set. The hosted server omits those four and adds trackly_chat, for 55 hosted tools.
| Tool | Description |
|---|---|
| trackly_search_jobs | Search by roles, regions, states/provinces, internship level, favorites, recency, annual USD salary floor, sponsorship, work arrangement, and pipeline status |
| trackly_get_job | Get details by Trackly ID, with availability and retry guidance |
| trackly_search_companies | Semantic company search |
| trackly_list_companies | List all tracked companies |
| trackly_get_stats | Job tracker metrics and status counts |
| trackly_get_preferences | Read bounded discovery preferences, edit availability, and save revision |
| trackly_update_experience_limits | Atomically replace role-specific limits on a job's stated minimum years |
| trackly_update_status | Mark jobs as applied, saved, or dismi
앞부분만 보여 드려요. 나머지는 저장소에서 읽어 보세요