Regression testing for MCP servers. Checks capabilities, invokes tools, detects schema drift.
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"mcp-observatory": {
"args": [
"-y",
"@kryptosai/mcp-observatory",
"serve"
],
"command": "npx"
}
}
}Are you the author?
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The first testing tool that is itself an MCP server. Your AI agent can scan, test, record, replay, and verify other MCP servers autonomously — catching regressions, schema drift, and security issues without human intervention.
Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.
npx -y '@kryptosai/mcp-observatory' 2>&1 | head -1 && echo "✓ Server started successfully"
After testing, let us know if it worked:
Five weighted categories — click any category to see the underlying evidence.
No known CVEs.
Checked @kryptosai/mcp-observatory against OSV.dev.
Click any tool to inspect its schema.
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🇨🇳 中文文档: README.zh-CN.md | 欢迎中国开发者贡献!
MCP Observatory maps the risk graph of agent toolchains before agents depend on them. It helps teams validate MCP servers before deployment into sensitive, regulated, or mission-critical agentic AI environments.
Agents should not depend on tools nobody tests. MCP Observatory turns a local MCP check into portable receipts, risk graphs, release-gate evidence, SARIF for GitHub Code Scanning, GitHub Actions gates, schema drift detection, trust status output, score badges, and agent-accessible diagnostics.
npx @kryptosai/mcp-observatory audit npx -y my-mcp-server --profile nsa-mcp --format markdown --output mcp-audit.md
Sample trust output:
{
"target_id": "my-mcp-server",
"profile": "nsa-mcp",
"score": 87,
"status": "needs_review",
"finding_count": 2
}
The nsa-mcp profile is not an official certification. It maps MCP Observatory findings to practical control areas for sensitive environ