Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Description from the maker (original English)
Connects AI agents with CrowdStrike Falcon for security analysis and automation.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
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_KEYValues marked secret are keys to your account. Never share them or paste them into a chat.
You need
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"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"
}
}
}
}Run this in your terminal
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-mcpFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"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"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"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"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
Your choice stays on this device in a cookie; no account needed.
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 envThese settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026
The registry name was verified with the GitHub account CrowdStrike, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
You need to fill in: FALCON_CLIENT_ID, FALCON_CLIENT_SECRET, FALCON_MCP_API_KEY
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (0.20.2) reached the registry 3 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.
In the same category: Spec Driven Development, Remote Desktop Commander, EmbeddedCI BenchPod
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
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.
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Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
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
Only the beginning is shown; read the rest in the repo