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  3. Agent Runtime Guard
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Health: ActiveRecent health check succeeded.Last checked 10/14/2026, 2:46:15 PM

Agent Runtime Guard

InstallableWe know how to install it, but have not yet seen it complete a handshake. User RatingsBe the first to rate and review this MCP server!
View Repository1 GitHub StarsTotal stargazers on GitHub for the source repository (1 stars).
securityruntime-guardmcpagent-safety

Intercepts risky agent actions locally, verifies intent, and issues Ed25519 receipts for allow or deny decisions.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to CursorAdd to VS Code
Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag — we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "agent-runtime-guard": {
      "command": "npx",
      "args": [
        "-y",
        "agent-runtime-guard"
      ]
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Tool Schemas (5) Directory Badge Claim listing Alternatives💻 More in Developer Tools

Overview

The agent-runtime-guard MCP server places a fail-closed interception layer between AI agents and risky tool operations. It verifies tool calls, checks declared intent against actual parameters, audits MCP configurations, and creates or validates Ed25519 evidence receipts. Use it when agents can access shell commands, networks, credentials, or other operations where execution-time blocking and tamper-evident decisions matter.

Use cases

•Block risky shell and network operations before execution
•Detect parameter drift between agent plans and tool calls
•Audit MCP client configurations for security risks
•Create chained evidence for allow and deny decisions
•Validate Ed25519 receipts offline

Key features

•Fail-closed runtime tool-call verification
•Semantic attack-chain and numeric overflow analysis
•SSRF, injection, credential-leak, and path-traversal detection
•Intent binding checks without an LLM
•Chained Ed25519 evidence receipts
•Offline receipt verification

Capabilities & Tool Schemas (5) ~73 tokensApproximate context cost of this server’s tool schemas (~4 chars/token), before any tool is called. Actual usage depends on your client and model.Self-reported Self-reportedParsed from the repository README, not verified against a live server — may be incomplete or out of date.

Inspect callable tools, capabilities, and parameters exposed to AI agents by Agent Runtime Guard.

verify_tool_call

7 维运行时验证 + 语义攻击链分析 + 数值溢出检测,**默认拦截

issue_evidence

出具防篡改证据(`content_hash` + `evidence_hash`,可链),放行和拦截都产生

audit_mcp_config

审计 MCP 配置的安全风险

verify_intent_binding

校验实际参数与声明意图是否一致——零容忍、零 LLM,抓跨模型参数漂移(规划写 `amount:100`,执行写成 `amount:10000` → 拦截)

verify_receipt

离线校验 Ed25519 收据签名、检测篡改,可固定可信签名者

How Agent Runtime Guard works

What agent-runtime-guard MCP server does

The agent-runtime-guard MCP server evaluates agent actions before they are passed to a dangerous operation. Its coverage includes tool calls, shell commands, network requests, and returned output. Decisions default to deny when a risk is detected, or when validation fails or times out.

The guard looks for command injection, path traversal, SSRF targets such as cloud metadata addresses, credential exposure, encoded or obfuscated escalation signals, numeric hazards, prompt injection in tool results, and attack chains that span multiple tools. It can also identify a sequence such as reading a sensitive file and then sending its contents over the network.

The server is intended for runtime enforcement rather than retrospective audit alone. It can run as an MCP server for supported clients, and the project also documents a transparent stdio proxy for placing an additional boundary around another MCP server.

How it works

verify_tool_call performs seven-dimensional runtime validation, semantic attack-chain analysis, and numeric overflow checks. The documented policy is fail-closed: suspicious calls are blocked instead of forwarded.

verify_intent_binding compares the parameters actually being executed with the declared intent. It uses a zero-tolerance, non-LLM check to detect parameter drift between planning and execution, such as changing an amount from 100 to 10,000.

Each allow or deny decision can produce an Ed25519-signed JSON receipt. Receipts include a content hash, an evidence hash, and an optional parent evidence hash that links decisions into a chain. Third parties can validate the result offline without relying on the operator.

Setup and configuration

Run the server with Node.js 18 or later:

Terminal
npx -y agent-runtime-guard

The package uses Node.js standard-library functionality and does not require an API key, account, or environment variable for its initial startup. A client can register it as a stdio MCP server with a configuration equivalent to:

config.json
{
  "mcpServers": {
    "agent-runtime-guard": {
      "command": "npx",
      "args": ["-y", "agent-runtime-guard"]
    }
  }
}

The agent-runtime-guard MCP server generates an Ed25519 signing key on first use. Set CCS_KEY_DIR to control the key directory, or provide CCS_PRIVATE_KEY and CCS_PUBLIC_KEY when a fixed key pair is needed. The README names Claude Code, Cursor, Cline, and Windsurf as MCP client options. It also documents a DeepSeek Harness plugin mode and use with the separate agent-runtime-proxy package.

Tools and capabilities

  • verify_tool_call: Validates a proposed call, including semantic attack chains and numeric overflow conditions.
  • issue_evidence: Creates chained, tamper-evident evidence for both allowed and blocked decisions.
  • audit_mcp_config: Reviews an MCP configuration for security risks.
  • verify_intent_binding: Detects mismatches between declared intent and executed parameters without using an LLM.
  • verify_receipt: Checks Ed25519 receipt signatures offline, detects tampering, and can restrict validation to trusted signers.

Limitations and notes

The agent-runtime-guard MCP server does not replace authentication, payment networks, or a general policy engine. Its protocol background includes an IETF Internet-Draft, but the README explicitly states that the draft is not an RFC and does not represent IETF endorsement.

The documented protection is execution-time interception, not a guarantee that every possible attack or unsafe operation will be identified. The project recommends local, default-deny decisions rather than depending on a host model or remote classifier. It also notes that child agents should not be able to replace runtime permission state, and that subprocess environments should be minimized to avoid exposing credentials unnecessarily.

License: Elastic License 2.0 (ELv2).

Read the full README →View source on GitHub →

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars
1
Stargazers on the source repository.
npm downloads
398
Package downloads in the last 30 days.
Last commit
9d ago
Most recent push to the default branch.
Tools exposed
5
Callable tools this server registers over MCP.

Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about Agent Runtime Guard

agent-runtime-guard is an MCP server that connects AI agents to a local runtime interception layer for tool calls, shell commands, network requests, and outputs. Its main tools are verify_tool_call, issue_evidence, audit_mcp_config, verify_intent_binding, and verify_receipt. It blocks risky actions and produces verifiable Ed25519 evidence.

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Technical Specs & Signals

Category💻Developer Tools
More technical detailsExpand ▾
TransportSTDIO
RuntimeNode.js
ClientsClaude Code, Cursor, Cline / VS Code, Windsurf
Last updatedOct 14, 2026
Views0
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars1
GitHub Star CountTotal stargazers on GitHub representing community popularity (1 stars).
Last commit9d ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Oct 5, 2026
npm downloads398/mo
Monthly npm DownloadsAverage monthly package installs recorded from npm registry statistics.
56Quality signal: Good · 56/100How this signal is calculated ▾
Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools25/30
Adoption & activity7/15
Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned just now via OSV.dev · agent-runtime-guard (npm)

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Call4me

call4me lets your AI agent make real phone calls for you. Ask Claude, ChatGPT, Cursor, Codex or your own app to book a table, schedule a dentist appointment, cancel a subscription or ask a business a question. It calls, waits on hold, gets through the phone menu, talks to the person who answers, and reports back with the outcome and a transcript. It can also ring you to join the call. Calls are paid from prepaid credits, starting at $10.

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