MCP server
Diogenes Agent Guardrails & Sandbox MCP
io.github.stand-out-of-my-sun/diogenes-agent-guardrails-mcp
Checked 28 Oct 2026, 09:03 UTC · Connected to it and listed its tools
Autonomous agent guardrails, bash sandboxing, MCP rugpull diffing & prompt firewalls.
Working at last checkAbout 3,634 tokens per request once connected12 tools
https://diogenes-micro-gateway.corinth.workers.dev/mcp/agent-guardrails
At a glance
- Type
- MCP server
- Publisher
- Not verified
- Status
- Working at last check
- Tools
- 12
- Token cost
- About 3,634 tokens per request
- Sets up in
- Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
- Last checked
- 28 Oct 2026, 09:03 UTC
Connect it to your agent
Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.
Claude Code
claude mcp add --transport http diogenes-agent-guardrails-mcp https://diogenes-micro-gateway.corinth.workers.dev/mcp/agent-guardrails
Claude Desktop
Settings → Connectors → Add custom connector, and paste the URL.
Codex (config.toml)
[mcp_servers.diogenes-agent-guardrails-mcp] url = "https://diogenes-micro-gateway.corinth.workers.dev/mcp/agent-guardrails"
Gemini CLI
{"mcpServers":{"diogenes-agent-guardrails-mcp":{"httpUrl":"https://diogenes-micro-gateway.corinth.workers.dev/mcp/agent-guardrails"}}}
Cursor
{"mcpServers":{"diogenes-agent-guardrails-mcp":{"url":"https://diogenes-micro-gateway.corinth.workers.dev/mcp/agent-guardrails"}}}
VS Code
{"servers":{"diogenes-agent-guardrails-mcp":{"type":"http","url":"https://diogenes-micro-gateway.corinth.workers.dev/mcp/agent-guardrails"}}}
Antigravity
agy mcp add diogenes-agent-guardrails-mcp https://diogenes-micro-gateway.corinth.workers.dev/mcp/agent-guardrails
ChatGPT
Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.
OpenAI API (Responses tools)
{"type":"mcp","server_label":"diogenes-agent-guardrails-mcp","server_url":"https://diogenes-micro-gateway.corinth.workers.dev/mcp/agent-guardrails","require_approval":"always"}
Grok (xAI API tools)
{"type":"mcp","server_label":"diogenes-agent-guardrails-mcp","server_url":"https://diogenes-micro-gateway.corinth.workers.dev/mcp/agent-guardrails"}
Tools
audit_mcp_server_manifest~301 tokens
Scans an external MCP server's initial tools/list manifest to detect tool-name shadowing (read_file, bash) and hidden prompt-injection directives in descriptions. Use when vetting a newly discovered third-party MCP server before mounting it into an agent session; for comparing a previously pinned MCaudit_outbound_egress_url~314 tokens
Static validation firewall for outbound network destination URIs against cloud metadata IP addresses (169.254.169.254), RFC 1918 private IP blocks, and query-string secret exfiltration before agent dispatch. Use when validating a user-supplied or tool-supplied URI destination before network dispatchaudit_response_factuality~334 tokens
Cross-references factual claims, numbers, and citations in a draft agent response against retrieved source passages to flag unsupported hallucinations before delivery. Use when verifying that a generated answer is 100% grounded in source evidence before returning it to the user; for scrubbing inboundetect_agent_action_loop~296 tokens
Analyzes an agent's recent tool-call trace to detect identical retry spins, A/B state oscillation, and runaway token burn. Use when monitoring autonomous agent execution loops to decide whether to continue or trip a token-burn breaker; for inspecting a single command payload for security threats befdetect_mcp_schema_rugpull~349 tokens
Computes structural diffs between a pinned baseline MCP tools/list snapshot and a live server response to catch mid-session description or schema tampering. Use when verifying that a connected MCP server has not mutated its tool definitions mid-session; for performing a first-time static security auexecute_python_sandboxRuns commands · ~286 tokens
Audits Python source code for forbidden syscalls (os, subprocess, socket, open, eval) inside an AST-governed WebAssembly sandbox with no host filesystem access. Use when executing LLM-generated Python snippets safely; for checking shell commands without executing code, use verify_agent_command_safetredact_sensitive_pii~276 tokens
Redacts emails, phone numbers, SSNs, credit cards, API keys, and crypto private keys from text before logging or external transmission. Use when stripping personal data or secret credentials from prompts, logs, or outbound messages; for neutralizing indirect prompt injections and invisible Unicode isanitize_tool_output_stream~293 tokens
Sanitizes untrusted external tool or web-scrape outputs by stripping invisible Unicode Tag characters (U+E0000), neutralizing Markdown tracking image beacons, and defusing indirect prompt overrides. Use when cleaning raw third-party tool outputs or scraped web text before inserting it into the LLM cvalidate_mcp_sampling_request~295 tokens
Audits inbound MCP sampling/createMessage callbacks from connected servers to block cross-server context snooping (includeContext='allServers') and token quota hijacking. Use when filtering a connected MCP server's request to sample the host LLM; for scrubbing text returned from a standard synchronovalidate_sql_query_ast~302 tokens
Performs static AST syntax tree parsing on SQL statements to verify strictly read-only SELECT clauses and reject mutations, stacked queries, or comment bypasses. Use when verifying that an agent-authored SQL statement is strictly read-only before running it on a database; for screening non-SQL bashverify_a2a_agent_card~306 tokens
Verifies a remote agent's A2A /.well-known/agent.json discovery card, checking JWS/DID signature binding, endpoint HTTPS enforcement, and capability spoofing. Use when authenticating a peer autonomous agent before delegating subtasks or exchanging payments over A2A; for auditing an MCP tool server'sverify_agent_command_safety~282 tokens
Evaluates untrusted agent prompts, bash commands, and tool arguments to block prompt injection, destructive shell commands, and private-key exfiltration. Use when screening a general shell command or user prompt before autonomous agent execution; for statically validating SQL database queries at the
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