SafeNode MCP Gateway
An MCP proxy that enforces policy on every tool call, blocking or flagging actions before they reach downstream MCP servers.
README
SafeNode MCP Gateway
An MCP proxy that enforces policy on every tool call. The agent cannot route around it.
npx safenode-mcp-gateway
Why a proxy
An MCP server that exposes an evaluate_action tool is theatre. The model can choose not to call
it, which means it enforces nothing.
This is a proxy. It sits between your MCP client (Claude Desktop, Claude Code, Cursor, any MCP
host) and the MCP servers you already use. tools/list passes straight through, so the model sees
exactly the tools it saw before. Every tools/call is evaluated against SafeNode first. A denial
means the call never reaches the downstream server at all.
Claude Desktop ──► safenode-mcp-gateway ──► filesystem server
│ github server
▼ postgres server
SafeNode API
allow/warn/review/deny
Your agent needs no code changes. It does not know the gateway is there.
Get an API key — free tier, no card · Docs · Python SDK
Setup
1. Get an API key
Free at safenode.tech. Keys look like sn_....
2. Write a config
safenode-gateway.json — take the servers straight out of your existing MCP client config:
{
"failMode": "fail_closed",
"payloadMode": "redacted",
"logFile": "./safenode-decisions.jsonl",
"servers": [
{
"name": "filesystem",
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-filesystem", "/Users/you/projects"]
}
],
"tools": {
"read_file": { "failMode": "fail_open" },
"write_file": { "payloadMode": "metadata_only" }
}
}
Do not put your API key in this file. Set SAFENODE_API_KEY in the environment — it takes
precedence over the config, so the file stays safe to commit.
3. See what would be sent, before sending anything
SAFENODE_API_KEY=sn_... npx safenode-mcp-gateway --dry-run
Prints the exact JSON body that an evaluation would POST. No network call. This is the fastest way to satisfy yourself about what leaves your machine.
4. Point your MCP client at the gateway
Claude Desktop — claude_desktop_config.json:
{
"mcpServers": {
"safenode": {
"command": "npx",
"args": ["-y", "safenode-mcp-gateway", "--config", "/absolute/path/to/safenode-gateway.json"],
"env": { "SAFENODE_API_KEY": "sn_..." }
}
}
}
Claude Code — .mcp.json in your project:
{
"mcpServers": {
"safenode": {
"command": "npx",
"args": ["-y", "safenode-mcp-gateway", "--config", "./safenode-gateway.json"],
"env": { "SAFENODE_API_KEY": "sn_..." }
}
}
}
Cursor — ~/.cursor/mcp.json, same shape as Claude Desktop.
Replace your existing server entries with this one. The gateway spawns them itself, so listing them in both places would run each server twice.
What each decision does
| Decision | Behaviour |
|---|---|
allow |
Forwarded. The downstream result is returned unchanged. |
warn |
Forwarded, with a [SafeNode warning] line prepended so the model and the human see it. |
review |
Not forwarded. Returns a message saying approval is needed. |
deny |
Not forwarded. Returns the human-readable reasons and the trace_id. |
Denials come back as MCP tool errors, not transport failures, so the model sees why and can try something else instead of the host surfacing an opaque crash.
Fail behaviour
failMode decides what happens when SafeNode itself is unreachable.
fail_closed (default) |
Block the call. |
fail_open |
Forward it, unevaluated. |
raise |
Crash the gateway. |
The gateway defaults to fail_closed, unlike the SafeNode SDKs, which default to fail_open.
That difference is deliberate. An SDK wraps a developer's own code, where taking production down
during a SafeNode outage loses the user forever. The gateway fronts arbitrary MCP tools it knows
nothing about — filesystem writes, shell commands, payments — and silently letting all of that
through the moment SafeNode is unreachable defeats the point of installing it.
Loosen it per tool for the read-only ones:
"tools": {
"read_file": { "failMode": "fail_open" },
"list_files": { "failMode": "fail_open" }
}
Degraded decisions are logged to stderr and marked "degraded": true with a null traceId in the
decision log, so they can never be counted as real policy decisions.
What data leaves your machine
For every tool call, the gateway sends: the tool name, the downstream server name, a session id, any static context from your config, and the tool arguments as the payload.
payloadMode controls the arguments:
full |
Sent verbatim. |
redacted (default) |
Scrubbed client-side first. |
metadata_only |
No values at all — key names and hashes only. |
Redaction covers emails, Luhn-validated credit cards, US SSNs, provider API key prefixes (sk-,
ghp_, xoxb-, AKIA, AIza), bearer tokens, and PEM private key blocks. Values become
[REDACTED:<type>].
Why redaction counts are always sent
Alongside the redacted payload, the gateway sends counts of what it removed:
"safenode_redactions": { "email": 2, "credit_card": 1 }
This is load-bearing. SafeNode's server-side sensitive_data rule matches patterns against payload
values. If the gateway scrubbed those values and said nothing, a policy of "deny any action
containing a card number" would silently start passing — the client-side privacy feature would have
disabled the server-side security control. Reporting counts closes that: policy can act on the
presence of a card number without ever receiving one.
If you use sensitive_data with patterns, pair it with a redaction_metadata rule.
These counts are self-reported. They raise the floor for an honest client; they are not a defence against a hostile one.
No telemetry
The gateway talks to exactly two things: the downstream MCP servers you configured, and the SafeNode API. No analytics, no phone-home, no postinstall scripts.
Local decision log
Set logFile to get a JSONL record of every decision, independent of the server-side audit trail —
so you still have evidence of what your agent tried to do when the network was down:
{"timestamp":"2026-08-08T04:12:09.412Z","server":"filesystem","tool":"write_file","decision":"deny","degraded":false,"traceId":"9f1c…","reasons":["Path is outside the approved workspace."],"forwarded":false,"durationMs":143,"sessionId":"a3f1…"}
Configuration reference
| Key | Default | Meaning |
|---|---|---|
apiKey |
— | Prefer SAFENODE_API_KEY in the environment |
baseUrl |
https://safenode.tech |
For staging |
failMode |
fail_closed |
fail_closed | fail_open | raise |
payloadMode |
redacted |
full | redacted | metadata_only |
timeoutMs |
5000 |
Evaluation request budget |
logFile |
null |
JSONL decision log path |
prefixTools |
false |
Force <server>__<tool> naming |
servers[] |
required | Downstream MCP servers |
tools{} |
{} |
Per-tool overrides |
context{} |
{} |
Static context on every evaluation |
failMode, payloadMode and context can be set globally, per server, or per tool. Most specific
wins.
tools.<name>.bypass: true skips evaluation entirely for one tool. It does what it says — the call
is forwarded with no policy check at all.
Tool name collisions
If two downstream servers export the same tool name, the gateway prefixes every tool with
<server>__ and logs a warning. Silently picking a winner would apply one server's policy to
another server's tool, which is a security bug rather than a cosmetic one.
What this is not
- Not a sandbox. It decides whether a call is forwarded. It does not contain the downstream server, restrict syscalls, or limit what that server can do once the call reaches it.
- Not a prompt-injection detector. It evaluates the action, not the reasoning that produced it. If your agent has been talked into deleting a table, this can stop the delete — it will not tell you the agent was manipulated.
- Not offline. Every tool call costs a round trip to the SafeNode API. There is no local policy evaluation.
- Not a substitute for scoping the underlying servers. Still pass a filesystem server the narrowest root directory that works.
- Not free of side effects. Every evaluation is recorded server-side and counts against your monthly quota.
Latency
Each gated tool call adds one round trip to the SafeNode API, with a 5000ms budget by default. Bypassed tools add nothing.
A measured p99 for the evaluate endpoint is not published yet, because it has not been measured under realistic load. When it has been, it will go here and in the docs rather than being estimated.
Requirements
Node 18+. One runtime dependency: @modelcontextprotocol/sdk.
Contributing
See CONTRIBUTING.md. Bug reports about enforcement gaps — anything that reaches a downstream server when it should have been blocked — are the most valuable thing you can file.
Security
See SECURITY.md. Please do not open public issues for vulnerabilities.
License
MIT. See LICENSE.
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.