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URL: https://glama.ai/mcp/servers/spark1security/n0s1-mcp

⇱ n0s1-mcp by spark1security | Glama


n0s1-mcp

An MCP server that exposes n0s1 secret-scanning capabilities as tools for AI assistants (Claude, Cursor, etc.).

Scan Jira, Confluence, Slack, GitHub, GitLab, Zendesk, Linear, Asana, Wrike, and local filesystems for leaked secrets — directly from your AI workflow.

Quickstart

No install required. Add this to your MCP client config and run via uvx:

{
 "mcpServers": {
 "n0s1": {
 "command": "uvx",
 "args": ["n0s1-mcp"]
 }
 }
}

For Claude Desktop: ~/Library/Application Support/Claude/claude_desktop_config.json
For Claude Code: .claude/mcp.json in your project, or ~/.claude/mcp.json globally.

Related MCP server: Snyk MCP REST

Available Tools

Tool

Description

Required params

scan_jira

Scan Jira tickets

server, email, api_key

scan_confluence

Scan Confluence pages

server, email, api_key

scan_slack

Scan Slack channels

api_key

scan_github

Scan GitHub repositories

api_key, owner

scan_gitlab

Scan GitLab projects

api_key, owner

scan_zendesk

Scan Zendesk tickets

server, email, api_key

scan_linear

Scan Linear issues

api_key

scan_asana

Scan Asana tasks

api_key

scan_wrike

Scan Wrike tasks

api_key

scan_local

Scan local filesystem

scan_path

get_scan_status

Get status of a running/completed scan

report_uuid

get_scan_findings

Get paginated findings for a completed scan

report_uuid

analyze_report

Submit or advance async AI credential validation

report_uuid

All scan_* tools accept these optional parameters:

Parameter

Description

report_uuid

UUID to assign to the scan report. When set, overrides the auto-generated UUID written to the report JSON.

ai_analysis

Queue async AI credential validation after the scan (requires n0s1 Professional)

n0s1_api_key

n0s1 API key; overrides N0S1_TOKEN env var

allow_secret_upload

Allow encrypted secrets to be uploaded to the n0s1 backend (default: false)

Pass wait_minutes to analyze_report (or directly on a scan tool alongside ai_analysis) to block until analysis completes.

Environment Variables

Credentials can be passed as tool arguments or pre-set as environment variables:

Variable

Used by

N0S1_TOKEN

All scan tools with ai_analysis — Professional mode uploads and AI analysis

JIRA_TOKEN

scan_jira, scan_confluence

JIRA_EMAIL

scan_jira, scan_confluence

SLACK_TOKEN

scan_slack

GITHUB_TOKEN

scan_github

GITLAB_TOKEN

scan_gitlab

ZENDESK_TOKEN

scan_zendesk

ZENDESK_EMAIL

scan_zendesk

LINEAR_TOKEN

scan_linear

ASANA_TOKEN

scan_asana

WRIKE_TOKEN

scan_wrike

Example with env vars pre-configured:

{
 "mcpServers": {
 "n0s1": {
 "command": "uvx",
 "args": ["n0s1-mcp"],
 "env": {
 "GITHUB_TOKEN": "ghp_...",
 "JIRA_TOKEN": "ATATT..."
 }
 }
 }
}

Usage Examples

Once connected, ask your AI assistant:

  • "Scan my Jira project SEC for leaked secrets"

  • "Check the GitHub org mycompany for exposed API keys"

  • "Scan the /home/user/project directory for secrets"

  • "Run an AI analysis on the scan report abc123"

For full parameter reference and AI analysis workflow details, see docs/ai.md.

Publishing to PyPI

pip install hatch
hatch build
hatch publish

License

GNU General Public License v3 — same as n0s1.

A
license - permissive license
A
quality
A
maintenance

Maintenance

Maintainers
Response time
2wRelease cycle
5Releases (12mo)
Commit activity

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