Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
제작자가 쓴 설명(영어 원문)
Connects AI agents with CrowdStrike Falcon for security analysis and automation.
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.
FALCON_CLIENT_ID, FALCON_CLIENT_SECRET, FALCON_BASE_URL, FALCON_MEMBER_CID, FALCON_MCP_MODULES, FALCON_MCP_TRANSPORT, FALCON_MCP_DEBUG, FALCON_MCP_HOST, FALCON_MCP_PORT, FALCON_MCP_USER_AGENT_COMMENT, FALCON_MCP_STATELESS_HTTP, FALCON_MCP_API_KEY비밀로 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.
Claude Desktop → Settings → Developer → Edit Config를 열고 claude_desktop_config.json에 이 내용을 붙여 넣으세요
{
"mcpServers": {
"falcon": {
"command": "uvx",
"args": [
"falcon-mcp"
],
"env": {
"FALCON_CLIENT_ID": "your-value",
"FALCON_CLIENT_SECRET": "your-value",
"FALCON_BASE_URL": "your-value",
"FALCON_MEMBER_CID": "your-value",
"FALCON_MCP_MODULES": "your-value",
"FALCON_MCP_TRANSPORT": "your-value",
"FALCON_MCP_DEBUG": "your-value",
"FALCON_MCP_HOST": "your-value",
"FALCON_MCP_PORT": "your-value",
"FALCON_MCP_USER_AGENT_COMMENT": "your-value",
"FALCON_MCP_STATELESS_HTTP": "your-value",
"FALCON_MCP_API_KEY": "your-value"
}
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add falcon --env FALCON_CLIENT_ID=your-value --env FALCON_CLIENT_SECRET=your-value --env FALCON_BASE_URL=your-value --env FALCON_MEMBER_CID=your-value --env FALCON_MCP_MODULES=your-value --env FALCON_MCP_TRANSPORT=your-value --env FALCON_MCP_DEBUG=your-value --env FALCON_MCP_HOST=your-value --env FALCON_MCP_PORT=your-value --env FALCON_MCP_USER_AGENT_COMMENT=your-value --env FALCON_MCP_STATELESS_HTTP=your-value --env FALCON_MCP_API_KEY=your-value -- uvx falcon-mcp실행하기 전에 빈 값을 채워 주세요.
프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"falcon": {
"command": "uvx",
"args": [
"falcon-mcp"
],
"env": {
"FALCON_CLIENT_ID": "your-value",
"FALCON_CLIENT_SECRET": "your-value",
"FALCON_BASE_URL": "your-value",
"FALCON_MEMBER_CID": "your-value",
"FALCON_MCP_MODULES": "your-value",
"FALCON_MCP_TRANSPORT": "your-value",
"FALCON_MCP_DEBUG": "your-value",
"FALCON_MCP_HOST": "your-value",
"FALCON_MCP_PORT": "your-value",
"FALCON_MCP_USER_AGENT_COMMENT": "your-value",
"FALCON_MCP_STATELESS_HTTP": "your-value",
"FALCON_MCP_API_KEY": "your-value"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"falcon": {
"type": "stdio",
"command": "uvx",
"args": [
"falcon-mcp"
],
"env": {
"FALCON_CLIENT_ID": "your-value",
"FALCON_CLIENT_SECRET": "your-value",
"FALCON_BASE_URL": "your-value",
"FALCON_MEMBER_CID": "your-value",
"FALCON_MCP_MODULES": "your-value",
"FALCON_MCP_TRANSPORT": "your-value",
"FALCON_MCP_DEBUG": "your-value",
"FALCON_MCP_HOST": "your-value",
"FALCON_MCP_PORT": "your-value",
"FALCON_MCP_USER_AGENT_COMMENT": "your-value",
"FALCON_MCP_STATELESS_HTTP": "your-value",
"FALCON_MCP_API_KEY": "your-value"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
이 서버는 내 컴퓨터에서 실행되는데, ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요. 다른 앱을 고르세요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
FALCON_BASE_URL envFALCON_MEMBER_CID envFALCON_MCP_MODULES envFALCON_MCP_TRANSPORT envFALCON_MCP_DEBUG envFALCON_MCP_HOST envFALCON_MCP_PORT envFALCON_MCP_USER_AGENT_COMMENT envFALCON_MCP_STATELESS_HTTP env이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
내 컴퓨터에서 실행돼요. 설치하면 AI 앱에 도구 목록이 나타나요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 6일 점검
레지스트리 이름이 GitHub 계정 CrowdStrike 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
내 컴퓨터에서 실행되는 서버라 인터넷 엔드포인트가 없어요
내 컴퓨터에서 실행되며, 대신 로컬 설정을 사용해요
내 컴퓨터에서 실행돼요. 도구 목록은 인터넷 엔드포인트가 있는 서버에서만 읽을 수 있어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 1개 중 1개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.
입력해야 할 값: FALCON_CLIENT_ID, FALCON_CLIENT_SECRET, FALCON_MCP_API_KEY
내 컴퓨터에서 실행돼요. AI 앱이 필요할 때 실행하고, 데이터는 제작자의 서버를 거치지 않아요(서버 자체가 온라인 서비스를 호출하는 경우는 제외).
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(0.20.2)은 3일 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Python (uv)도 있어야 해요.
같은 카테고리에는: Spec Driven Development, Remote Desktop Commander, Zoo MCP
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
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.
An MCP server that provides access to the Zoo API for various CAD operations and tools.
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
falcon-mcp is a Model Context Protocol (MCP) server that connects AI agents with the CrowdStrike Falcon platform, powering intelligent security analysis in your agentic workflows. It delivers programmatic access to essential security capabilities—including detections, threat intelligence, and host management—establishing the foundation for advanced security operations and automation.
[!IMPORTANT]
falcon-mcp is now in maintenance mode. Development continues in CrowdStrike MCP, CrowdStrike's hosted MCP server, and we recommend moving to it. falcon-mcp stays supported and will keep getting security fixes, but new features will only ship in CrowdStrike MCP. See Moving to CrowdStrike MCP for what this means for you.
Full docs are available at [developer.crowdstrike.com/falcon-mcp](https://developer.crowdstrike.com/falcon-mcp/).
falcon-mcp started as an open source project to work out how AI agents should use Falcon. A lot of what we built here, including fixes and ideas from your issues and pull requests, carries forward into CrowdStrike MCP. CrowdStrike MCP is a CrowdStrike product rather than an open source project, so new development won't happen in this repository. Thanks to everyone who filed issues and sent pull requests.
For most teams, CrowdStrike MCP is the better choice now:
falcon_* names, so prompts and agent instructions written for falcon-mcp carry over.What happens to falcon-mcp:
| Module | Description |
|---|---|
| Core | Basic connectivity and system information |
| AgentWorks | Call, list, and observe Charlotte AI agents and their execution traces |
| Case Management | Case lifecycle management, evidence attachment, tagging, and templates |
| Cloud Security | Kubernetes containers, image vulnerabilities, CSPM asset inventory, IOM findings, suppression rules, cloud risks, cloud insights, and cloud groups |
| Correlation Rules | Search, create, update, and manage NG-SIEM correlation rules |
| Custom IOA | Create and manage Custom IOA behavioral detection rules and rule groups |
| Data Security | Search, create, and update Data Security classifications, policies, content patterns, applications, web locations, sensitivity labels, and file types |
| Detections | Find, aggregate, and analyze detections to understand malicious activity |
| Discover | Search application inventory and managed/unmanaged assets, including drive encryption and system-insights posture |
| Exclusions | Search, create, update, and delete IOA, machine learning, sensor visibility, and certificate-based exclusions |
| Firewall Management | Search and manage firewall rules and rule groups |
| Fusion SOAR | Search Fusion SOAR workflow definitions and executions, read execution results, and run on-demand workflows |
| Guardian | Monitor AI agent activity, sessions, tool usage, and inventory |
| Host Groups | Search, create, update, and delete host groups; manage group membership |
| Hosts | Manage and query host/device information |
| Identity Protection | Entity investigation and identity protection analysis |
| Intel | Research threat actors, IOCs, and intelligence reports |
| IOC | Search, create, and remove custom indicators of compromise |
| NGSIEM | Execute CQL queries against Next-Gen SIEM |
| Policies | Search, create, update, and delete prevention, sensor update, firewall, device control, response, and content update policies; manage host-group assignment, enable/disable, and precedence |
| Quarantine | Search quarantine records, preview action counts, and release, unrelease, or delete quarantined files |
| Real Time Response | Audit, summarize, and run read-only RTR triage workflows |
| Recon | Search and aggregate Falcon Intelligence Recon notifications (recon alerts), monitoring rules, and exposed-data records for dark web, leaked credentials, and typosquatting, and preview prospective rule noise |
| Scheduled Reports | Manage scheduled reports and download report files |
| Sensor Usage | Access and analyze sensor usage data |
| Serverless | Search for vulnerabilities in serverless functions |
| Shield | SaaS security posture, checks, alerts, and app inventory |
| Spotlight | Manage and analyze vulnerability data and security assessments |
| Zero Trust Assessment | Retrieve Zero Trust Assessment posture scores and sensor and OS hardening signals for hosts |
See the Module Overview for required API scopes, available tools, and FQL resources.
[!NOTE]
The Guardian module reads the
/aidrAPI, whose route and parameter surface is not
yet uniform across Falcon deployments. Some tools return HTTP 400 or 404 where an
older surface is live. See the Guardian module docs for the details.
uv tool install falcon-mcp
pip install falcon-mcp
Set the required environment variables (or use a .env file — see the Configuration Guide):
export FALCON_CLIENT_ID="your-client-id"
export FALCON_CLIENT_SECRET="your-client-secret" export FALCON_BASE_URL="https://api.crowdstrike.com"
falcon-mcp
See the Getting Started guide for full installation and configuration details.
uvx (recommended){
"mcpServers": { "falcon-mcp": { "command": "uvx", "args": [ "--env-file", "/path/to/.env", "falcon-mcp" ] } } }
{
"mcpServers": { "falcon-mcp": { "command": "uvx", "args": [ "--env-file", "/path/to/.env", "falcon-mcp", "--modules", "detections,hosts,intel" ] } } }
{
"mcpServers": { "falcon-mcp-docker": { "command": "docker", "args": [ "run", "-i", "--rm", "--env-file", "/full/path/to/.env", "quay.io/crowdstrike/falcon-mcp:latest" ] } } }
See the Usage guide for all command line options, module configuration, and library usage.
# Pull the latest image
docker pull quay.io/crowdstrike/falcon-mcp:latest
docker run -i --rm --env-file /path/to/.env quay.io/crowdstrike/falcon-mcp:latest
docker run --rm -p 8000:8000 --env-file /path/to/.env \ quay.io/crowdstrike/falcon-mcp:latest \ --transport streamable-http --host 0.0.0.0 --api-key your-secret-key
[!CAUTION]
HTTP transports have no authentication by default. Binding to a non-loopback address (
--host 0.0.0.0)
exposes an unauthenticated server that anyone who can reach the port can drive with your CrowdStrike
credentials. Keep the default loopback bind for local use and set
--api-keywhenever you bind wider.
Managed runtimes such as AWS Bedrock AgentCore and Google Cloud Run sit behind their own network
security layer, so this does not apply to them. See the
See the Docker Deployment guide for building locally, custom ports, and advanced configurations.
Running many modules at once inflates the context window every AI client must hold. Dynamic mode replaces the full tool surf
앞부분만 보여 드려요. 나머지는 저장소에서 읽어 보세요