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Moltline Agent Governance MCP Server

answering

Moltline Agent Governance is answering right now. Last checked 12 min ago. It exposes 8 tools. Last commit 18 Aug 2026.

Audit MCP configs and skill files for over-broad scope and injection risk. 6 of 8 free.

Uptime history 15 days of history · worst day 98%
15 days agonow
98.9%
Uptime 24h
90 of 91 checks
8
Tools
read from the server
351 ms
Response time
average over 24h
0
Stars
last commit 18 Aug 2026

Moltline Agent Governance does not always answer

Over the last week it answered 99.8% of our checks. We check every 15 minutes, so you hear about the next outage within the hour — not from your users.

Three servers free · no card

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 12 min ago.

run in your terminal
claude mcp add govern --transport http https://mcp.moltlinestudio.com/govern
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "govern": {
      "url": "https://mcp.moltlinestudio.com/govern"
    }
  }
}
~/.codex/config.toml
[mcp_servers.govern]
url = "https://mcp.moltlinestudio.com/govern"
.cursor/mcp.json
{
  "mcpServers": {
    "govern": {
      "url": "https://mcp.moltlinestudio.com/govern"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "govern": {
      "url": "https://mcp.moltlinestudio.com/govern"
    }
  }
}

Available tools 8

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

audit
audit_mcp_config
Audit an MCP server config for risk-ranked posture findings. FREE. Flags exposed machine credentials in the config, required inputs that aren't gated/optional, unpinned versions, over-broad env access, and dangerous auto-run flags. It never echoes any matched secret value back. Typical input {"config": "<mcpize.yaml, mcp.json, or a Claude/Cursor servers block>"} returns {"posture_score": 0-100, "verdict": "...", "findings": [{"line": N, "severity": 1-5, "issue": "...", "fix": "..."}], "note": "..."}. Use on a server configuration document. Not for a skill or instruction file (audit_skill_file) and not for untrusted content an agent is about to read (injection_scan). Errors: on invalid, missing, or malformed input this tool never raises a protocol error — it returns {"error": "<what is wrong and how to fix it>"}. Every call is read-only and idempotent, so after correcting the input it is always safe to retry.
audit_skill_file
Audit an agent skill or instruction file before you trust it. FREE. Checks for governance smells: prompt-injection and guardrail-bypass phrasing, concealment instructions ('don't tell the user'), exfiltration language, and exposed credential material. Typical input {"content": "<SKILL.md, system prompt, or tool description text>"} returns {"verdict": "reject — do not install" | "no governance red flags on a pattern pass", "findings": [{"severity": 1-5, "issue": "..."}], "note": "..."}. Use before trusting a skill or instruction file that came from outside your own repository. Not for arbitrary untrusted input at run time (injection_scan). Errors: on invalid, missing, or malformed input this tool never raises a protocol error — it returns {"error": "<what is wrong and how to fix it>"}. Every call is read-only and idempotent, so after correcting the input it is always safe to retry.
agent
agent_readiness_scan
Score a public domain against 21 agent-readiness checks. FREE. Use when you need to know whether an autonomous agent can discover, read, use or pay a website - your own, or a vendor you are evaluating before recommending it. Typical input {"domain": "example.com"} returns {"score": 8, "total": 21, "grade": "F", "passed": [...], "failed": [{"title": "...", "detail": "...", "fix": "..."}], "report_url": "..."} where report_url is a permanent shareable page for the same result. Not for auditing an MCP client configuration (audit_mcp_config) and not for scanning text for injection (injection_scan) - this one reaches out over the network and fetches public URLs on a live domain. Errors: on invalid, missing, or malformed input this tool never raises a protocol error — it returns {"error": "<what is wrong and how to fix it>"} (for example {"error": "The readiness scanner is not reachable right now."}). Every call is read-only and idempotent, so after correcting the input it is always safe to retry.
auditor
get_auditor_persona
Load the Governance Auditor persona for consistent fleet audits. PREMIUM (license). The persona is methodical, evidence-driven, and allergic to 'it's probably fine'. Takes no arguments. Returns {"persona": ..., "identity": ..., "rules": ["...", ...], "opening_move": "..."} ready to adopt as a system prompt. Use to keep repeated audits consistent in voice and rigor. Not for running an audit - the audit tools do that. Errors: on invalid, missing, or malformed input this tool never raises a protocol error — it returns {"error": "<what is wrong and how to fix it>"}. Every call is read-only and idempotent, so after correcting the input it is always safe to retry.
governance
governance_policy
Generate an audit-ready agent-governance policy for a fleet. PREMIUM (license). Covers inventory cadence, ownership rules, least-privilege approval gates, injection defense, logging/retention, and decommissioning triggers. Typical input {"fleet_context": "20 agents, 3 with shell access, one finance bot"} returns {"policy": ..., "sections": {...}, "context_note": ..., "audit_checklist": ["...", ...]}. Use when a fleet needs a written policy document. Not for assessing what the fleet currently does (inventory_report, audit_mcp_config). Errors: on invalid, missing, or malformed input this tool never raises a protocol error — it returns {"error": "<what is wrong and how to fix it>"}. Every call is read-only and idempotent, so after correcting the input it is always safe to retry.
injection
injection_scan
Scan untrusted text for prompt-injection patterns before ingestion. FREE. Use on any web page, email, or document an agent is about to ingest to catch prompt-injection and data-exfiltration patterns before they reach the agent's context. Typical input {"text": "<untrusted content>"} returns {"injection_suspected": bool, "count": N, "hits": [{"line": N, "pattern": "...", "text": "<flagged line>"}], "note": "..."}. Not for reviewing a skill file you control (audit_skill_file), and a clean result is not a guarantee of safety - it reports pattern matches only. Errors: on invalid, missing, or malformed input this tool never raises a protocol error — it returns {"error": "<what is wrong and how to fix it>"}. Every call is read-only and idempotent, so after correcting the input it is always safe to retry.
inventory
inventory_report
Build a governance inventory with risk tiers from a raw agent list. FREE. Turns a list of agents / MCP servers / skills into an audit-ready summary with critical/elevated/standard tiers and unowned-agent flags. Typical input {"items": "[{\"name\": \"deploy-bot\", \"owner\": \"ana\"}]"} returns {"total": N, "tiers": {"critical": N, ...}, "unowned_agents": [...], "inventory": [{"name": ..., "owner": ..., "tier": ..., "orphaned": bool}], "reading": "...", "note": "..."}. Use to turn a raw agent list into risk tiers. Not for auditing any single agent in depth (audit_mcp_config, scope_check). Errors: on invalid, missing, or malformed input this tool never raises a protocol error — it returns {"error": "<what is wrong and how to fix it>"}. Every call is read-only and idempotent, so after correcting the input it is always safe to retry.
scope
scope_check
Score the blast radius of every tool in a permission manifest. FREE. Ranks each tool by capability risk (command exec > money/delete > file-write/messaging > read > network) and flags the over-privileged ones that need approval gates. Typical input {"tools": "[\"run_shell\", \"read_docs\"]"} returns {"tools_scored": N, "high_risk_tools": N, "ranking": [{"tool": ..., "blast_radius": 0-5, "capabilities": [...]}], "recommendation": ["..."], "note": "..."}. Use on a permission manifest to rank tools by blast radius. Not for the configuration that mounts them (audit_mcp_config). Errors: on invalid, missing, or malformed input this tool never raises a protocol error — it returns {"error": "<what is wrong and how to fix it>"}. Every call is read-only and idempotent, so after correcting the input it is always safe to retry.

Endpoints

URLTransportStateLatencyChecked
https://mcp.moltlinestudio.com/govern streamable-http answering 191 ms 12 min ago

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Moltline Agent Governance — questions

Answers built from our own checks of this server.

What can Moltline Agent Governance do?
It exposes 8 tools, read directly from the server on our last check. Among them: agent_readiness_scan, audit_mcp_config, audit_skill_file, get_auditor_persona, governance_policy, injection_scan and 2 more. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →
Is Moltline Agent Governance working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 90 of 91 checks got a reply (98.9%), average response time 351 ms. The bar chart above shows every period we have measured.
How do I connect Moltline Agent Governance?
Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does Moltline Agent Governance need an API key?
No. Moltline Agent Governance completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 8 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is Moltline Agent Governance?
It answers our handshake in 351 ms on average, which is faster than 51% of all working MCP servers we measure. The comparison comes from our own checks across the whole registry, every 15 minutes.
Is Moltline Agent Governance open source?
Yes — it is published under the MIT licence, written in Python and 0 stars on GitHub. The source link is on this page, so you can read exactly what it does with your data before you connect it.