MCP.Market

Agentos MCP server

by imran-siddique·io.github.imran-siddique/agentos·v1.0.1·74 stars

Build and manage policy-compliant AI agents with safety enforcement and compliance checking

C69/100grade C
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Safety scan
C69/100

full report

Adoption
Growing

74 stars52 downloads/wk

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Agentos tools (10, 3 write)

write = sends, deletes, buys or posts

Read from the package source without running it. The installed server may list more.

  • attach_policy

    Attach safety policies to an agent. Policies enforce rules and constraints on agent behavior. Available policy templates: - pii-protection: Protects personally identifiable information (GDPR compliant) - rate-limiting: Prevents resource abuse through rate limits - cost-control: Prevents runaway costs from automated operations - data-deletion: Prevents accidental data loss - secrets-protection: Pre

  • audit_log

    Query the audit trail for an agent. The audit log records: - Every action attempted by the agent - Policy evaluations and decisions - Approval requests and outcomes - Success/failure status - Timestamps and metadata Use for: - Debugging agent behavior - Compliance reporting - Security investigations - Performance analysis

  • check_compliance

    Check an agent's compliance with regulatory frameworks. Supported frameworks: - SOC2: Service Organization Control 2 Type II - GDPR: EU General Data Protection Regulation - HIPAA: Health Insurance Portability and Accountability Act - PCI_DSS: Payment Card Industry Data Security Standard - CCPA: California Consumer Privacy Act - NIST: NIST Cybersecurity Framework - ISO27001: ISO/IEC 27001 Informati

  • create_agentwrite action

    Create a new AI agent from a natural language description. The agent will be configured with appropriate policies and safety guardrails. Example usage: - "Create an agent that processes customer feedback from support emails daily" - "Build a data pipeline that backs up my Documents folder to Google Drive" - "Set up an agent to monitor our API health and alert on issues" Returns the agent specifica

  • create_policywrite action

    Create a custom policy from a natural language description. Policies define rules that agents must follow. Example policies: - "Block access to customer credit card data" - "Require approval for any external API calls" - "Rate limit database queries to 100 per minute" - "Log all file deletions" Policies can be based on existing templates: - pii-protection, rate-limiting, cost-control - gdpr-compli

  • deploy_agentwrite action

    Deploy an agent to start execution. Deployment environments: - local: Runs on your machine (default) - cloud: Runs on AgentOS cloud infrastructure (requires API key) Before deployment, the agent must: - Pass all policy checks - Have valid configuration - Have necessary integrations configured For scheduled agents, deployment starts the scheduler. For triggered agents, deployment enables the trigge

  • get_agent_status

    Get the current status, metrics, and health of an agent. Returns: - Current status (draft, testing, deployed, paused, stopped, error) - Execution metrics (runs, success rate, errors) - Recent activity - Policy compliance stats - Resource usage

  • list_templates

    Browse the library of pre-built agent and policy templates. Agent templates include: - Data processors, email assistants, database analysts - File organizers, backup agents, web scrapers - Slack bots, API monitors, report generators Policy templates include: - Security: PII protection, secrets protection, data deletion safety - Compliance: GDPR, SOC 2, HIPAA, PCI DSS - Operational: Rate limiting,

  • request_approval

    Request human approval for a sensitive agent action. Use this when: - Policy requires human review before execution - Agent attempts a high-risk action - You want to add an extra safety check Approval requests are sent to designated approvers via: - Email notification - Slack notification (if configured) - Dashboard alert Requests expire after the specified time (default: 24 hours).

  • test_agent

    Test an agent with a simulated scenario before deployment. This performs a dry-run that: - Validates the agent configuration - Checks all policies against the test scenario - Simulates workflow execution - Reports any policy violations or issues - Estimates resource usage and costs No actual changes are made during testing.

Public scan report

scanner v0.1.10 · 2026-09-28 · same rubric, same numbers if you re-run it

1 high
  • Code scan43 source files scanned25/25
  • –Live reliabilityno gateway calls yet and no remote to proben/a
  • –Tool poisoningtools not inspected (local package is not executed); not countedn/a
  • Auth qualitylocal package, no credentials required12/15
  • Maintenancerepository archived0/15
  • Maintainer identityregistry namespace matches repository owner; GitHub account older than a year8/10

Findings (1)

  • highRepository is archivedmaint.archived
Overall 69/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How Agentos compares

Against every graded MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
69/100
higher than 33% of 48,255 servers
Tools
10
the typical server has 7
Tools that change things
30%
typical: 0%. Fewer write tools means less an agent can break
GitHub stars
74
more than 95% of 28,688 servers
Downloads a week
52
more than 43% of 12,191 servers with a package

What its tools let an agent do: 7 read · 2 create · 1 run or deploy

Install Agentos in Claude Code, Cursor or VS Code

Runs npx -y agentos-mcp-server on your machine. Read the scan report first; the gateway never runs local packages.

claude mcp add agentos -- npx -y agentos-mcp-server
Add to Cursor

What the publisher says

From the Agentos repository's README, as published. We do not edit it. Read it on GitHub

Agent OS — Community Edition

A kernel architecture for governing autonomous AI agents

⭐ If this project helps you, please star it! It helps others discover Agent OS.

📦 Install the full stack: pip install ai-agent-governance[full] — PyPI | GitHub

Quick Start • Documentation • VS Code Extension • Examples • Agent Hypervisor • AgentMesh • Agent SRE

Try Agent OS instantly in your browser - no installation required

Integrated With

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

Agentos: common questions

Is Agentos MCP server safe?
With care: it is graded C, so read the findings first (69/100). Read the Agentos safety report
How do I install Agentos?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does Agentos need an API key?
No secret keys are declared. It reads 2 settings from the environment.
Is Agentos maintained?
The last commit was 246 days ago (2026-03-03). The latest release is v1.0.1.
How does Agentos compare with other MCP servers?
safety score 69/100 (higher than 33% of 48,255 servers); tools 10 (the typical server has 7); tools that change things 30% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.