mcp-observatory

by KryptosAIVerified

CI-native security testing for MCP servers. Attack simulation, schema drift detection, and health scoring before agents depend on them.

174
Stars
20
Forks
HTML
Language
8/23/2026
Added
View on GitHubDownload ZIP

⚠️ Third-Party Software Notice

This skill is third-party open-source software developed and hosted independently on GitHub. SkillTip is an informational directory and does not control or maintain the underlying repository. Any security checks displayed are automated and limited in scope. Review the source code before installing.

Read the Terms of Service

Installation

Add to your Claude Code skills directory:

# Add to your Claude Code skills
git clone https://github.com/KryptosAI/mcp-observatory

Getting Started

Guides for using skills like mcp-observatory.

Security Report

Verified

Last scanned: —

{
  "status": "PASSED",
  "issues": []
}

README.md

CI CodeQL Coverage Workflow npm GitHub stars License: MIT

OpenSSF Scorecard Dependabot npm provenance workflow npm weekly downloads Node loading= = 20"> Smithery mcp-observatory MCP server All Contributors Gitee Stars Gitee Forks MCP Registry MCP Market MCP Hub China OpenTools Gitee

Secure the MCP servers you're building. MCP Observatory is the CI-native security tool for teams shipping custom MCP servers. Test during development, catch schema drift, simulate attacks, and generate compliance evidence — before agents depend on your servers.

Also available in Simplified Chinese.

Runtime enforcement: Use mcp-seatbelt to block dangerous MCP tool calls at runtime based on observatory scan results.

Get Started

No account. Local scan stays free.

npx -y @kryptosai/mcp-observatory@latest

Grades your configured MCP servers, or a packaged demo if you have none.

npx -y @kryptosai/mcp-observatory@latest test npx -y @modelcontextprotocol/server-everything
- uses: KryptosAI/mcp-observatory/action@v1

If this repo is an MCP package, that tests npx -y <package.json name>. Otherwise set command:.

Or generate a full workflow: npx -y @kryptosai/mcp-observatory@latest setup-ci --all --command "npx -y my-mcp-server" --sarif

Install: npx -y @kryptosai/mcp-observatory@latest · brew tap kryptosai/mcp-observatory https://github.com/KryptosAI/mcp-observatory && brew install mcp-observatory · docker pull ghcr.io/kryptosai/mcp-observatory:latest · curl -fsSL https://raw.githubusercontent.com/KryptosAI/mcp-observatory/main/scripts/install.sh | sh

docker run --rm ghcr.io/kryptosai/mcp-observatory:latest demo
docker run --rm ghcr.io/kryptosai/mcp-observatory:latest test npx -y @modelcontextprotocol/server-everything

Scanning a server on the host needs network and, for local files, a volume mount (-v "$PWD:$PWD" -w "$PWD").

Agents: npx -y @kryptosai/mcp-observatory@latest serve

Default-deny connect: npx -y @kryptosai/mcp-observatory@latest protect rewrites every discovered client config (Cursor, Claude, VS Code, .mcp.json, …). Undo: protect --undo. HTTP/SSE servers are left alone.

Runtime deny-default: npx -y @kryptosai/mcp-observatory@latest enforce --start-proxy writes a Seatbelt policy from the scan and starts the proxy. Local scan stays free.

Proof: Safety Index. Hosted history: $29 · $299.

Why MCP Observatory

MCP servers are becoming production dependencies. If agents rely on them, teams need a way to catch broken tools, unsafe schemas, schema drift, slow responses, and security footguns before those failures reach users.

Observatory gives maintainers and teams:

  • One-command CI setup with setup-ci --all

  • Profile-mapped audits with audit --profile nsa-mcp

  • MCP receipts that package target, evidence, verdict, action, and reproduction commands

  • MCP risk graphs that group servers by capability boundary, receipt state, CI posture, and recommended action

  • Action receipts that say allow, gate, rerun, quarantine, or escalate

  • GitHub PR comments for compatibility, drift, and security findings

  • GitHub Code Scanning SARIF for normalized MCP findings

  • Health score badges for public trust signals

  • Record/replay/verify workflows for regression testing

  • MCP server mode so agents can inspect other MCP servers directly

  • Production support path for hosted history, private repo reporting, owner-ready remediation, support, and fleet visibility

See GitHub Code Scanning for MCP servers, MCP Receipts, Troubleshooting, Safety Methodology, MCP Server Safety Index, MCP Observatory Contributors, hosted client contract, repository boundary, open core boundary, and commercial support.

Self-Assessment

We scan ourselves with mcp-observatory on every release. See results →

For Security And Platform Teams

MCP servers are becoming part of the AI software supply chain. Agents need reliable, testable, auditable tools before those tools become dependencies in mission-critical workflows.

Whether you're shipping one MCP server or running a fleet, MCP Observatory gives you CI-native security scoring, attack simulation, schema drift detection, SARIF/HTML/Markdown reports, and GitHub Code Scanning — from your first npx command to production deployment. Local development stays free; teams with a near-term production approval decision can use the fixed-scope MCP Release Gate Pilot.

Production Support

Local OSS use stays free under MIT. Teams running MCP in production can use the MCP Release Gate Pilot for safe-mode evidence, SARIF/Code Scanning setup, CI rollout, private reporting, and owner-ready remediation notes. The fixed public entry offer is $15,000 for 1-3 critical MCP servers over ten business days; broader work is scoped after the release decision.

The open source repo is the portable evidence engine. Hosted authentication, retention, organization workflows, fleet coordination, and private intelligence stay outside the OSS package; see the repository boundary.

Run npx @kryptosai/mcp-observatory cloud, open a pilot request from the issue chooser, or see COMMERCIAL.md. Also see privacy, campaign attribution, and terms for production use.

How It Compares

Feature mcp-observatory Snyk agent-scan Cisco mcp-scanner agent-shield

MCP-native ✓ ✓ ✓ ✓

Attack simulation ✓ ✗ ✗ ✗

Schema drift detection ✓ ✗ ✗ ✗

Record/replay/verify ✓ ✗ ✗ ✗

Health scoring (0-100) ✓ ✗ ✗ ✗

SARIF output ✓ ✓ ✓ ✓

CI/CD native (setup-ci) ✓ ✓ ✓ ✓

Public Safety Index ✓ ✗ ✗ ✗

Runtime enforcement via mcp-seatbelt ✓ ✗ ✗ ✗

Quick Start

Run a first check. No arguments starts demo (your servers, or the packaged local demo):

npx @kryptosai/mcp-observatory

Go deeper — also invoke safe tools to verify they actually run:

npx @kryptosai/mcp-observatory scan deep

Test a specific server:

npx @kryptosai/mcp-observatory test npx -y @modelcontextprotocol/server-everything

Add it to Claude Code as an MCP server:

claude mcp add mcp-observatory -- npx -y @kryptosai/mcp-observatory serve

Or add it manually to your config:

{
  "mcpServers": {
    "mcp-observatory": {
      "command": "npx",
      "args": ["-y", "@kryptosai/mcp-observatory", "serve"]
    }
  }
}

Commands

Command What it does

scan Auto-discover servers, check them, and run safe attack-readiness simulation by default

`sca

Frequently Asked Questions

What is mcp-observatory?

mcp-observatory is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by KryptosAI. CI-native security testing for MCP servers. Attack simulation, schema drift detection, and health scoring before agents depend on them. It has 174 GitHub stars.

Is mcp-observatory safe to use?

Yes. mcp-observatory passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.

How do I install mcp-observatory?

Clone the repository with "git clone https://github.com/KryptosAI/mcp-observatory" and add it to your Claude Code skills directory (see the Installation section above).

What programming language is mcp-observatory written in?

mcp-observatory is primarily written in HTML. It is open-source under KryptosAI on GitHub, so you can review or fork the full source.

Are there alternatives to mcp-observatory?

Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh mcp-observatory against similar tools.

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