mcp-slim-guard
type: Readme title: mcp-slim-guard timestamp: "2026-07-23T18:00:00+08:00" description: Lightweight MCP security proxy — compression (up to 86%) + SSRF protection + allow/deny + audit + rate limiting + injection detection tags:
mcp-slim-guard
readme
mcp
security
compression
mcp-slim-guard sits between your AI agent and MCP servers, transparently adding schema compression (5 levels, up to 86% token reduction) and security policies (SSRF protection, tool allow/deny, injection detection, rate limiting, audit logging).
graph LR
A[AI Agent] --> B[mcp-slim-guard]
B --> C[Compression Pipeline]
B --> D[Security Pipeline]
C --> E[MCP Server 1]
C --> F[MCP Server N]
D --> E
D --> F
style B fill:#4a90d9,color:#fff
style C fill:#e6f3ff
style D fill:#ffe6e6Why mcp-slim-guard?
Problem | Impact | How mcp-slim-guard solves it |
Context wasted | Tool schemas eat 60-86% of your context window | 5 compression levels, lazy loading, request cache |
No access control | Any agent calls any tool with any args | Glob-based allow/deny, fail-closed by default |
SSRF | Tool params inject internal network requests | IP blacklist + domain whitelist |
Prompt injection | Malicious params execute shell/SQL | 17 heuristic patterns, 3 sensitivity levels |
Abuse | Unthrottled tool calls flood upstream | Token bucket rate limiter (per-tool configurable) |
No audit trail | No record of who called what | Structured JSON audit log with rotation + gzip |
Only mcp-slim-guard combines compression AND security in a single proxy.
Other tools compress schemas but don't protect you. Security proxies don't save you tokens.
Related MCP server: mcp-trust-guard
Quick Start
# Install
npm install -g mcp-slim-guard
# Auto-discover MCP servers from your .mcp.json
cd your-project/
mcp-slim-guard init
# Dry-run policies to check for false positives
mcp-slim-guard validate
# Start the proxy
mcp-slim-guard startYour agent now connects to mcp-slim-guard instead of the original servers. That's it.
MCP servers are auto-discovered from
.mcp.json,mcp.json, orclaude_desktop_config.json.
Generated mcp-slim-guard.yml
tools:
allow: ["search_*", "read_*"] # only allow search/read tools
deny: ["*_delete_*", "*_admin_*"] # block dangerous ops
ssrf:
mode: block
block_private_ips: true
allow_domains: ["*.github.com"]
rate_limit:
default: 60/min # per-tool rate limit
injection_detection:
enabled: true
mode: block
sensitivity: medium
compressor:
enabled: true
level: light # 5 levels: off/light/normal/extreme/maximum
cache:
enabled: false # TTL+LRU read-only response cache
audit:
output: file # structured JSON audit log
maxSize: 10MB
maxFiles: 5Features
🗜️ Schema Compression — Reclaim Your Context Window
Level | Strategy | Tokens (14 tools) | Savings | When to use |
| Passthrough | 1,736 | — | < 5 tools, or testing |
| 3 wrapper tools (on-demand schema) | 300 | -83% | ⭐ Default. Best balance for most users |
| 2 wrapper tools (no list_tools) | 245 | -86% | 30+ tools, strong LLMs |
| In-place: strip property descriptions | 1,361 | -22% | Few tools with complex schemas (10+ params) |
| In-place: signature only, empty properties | 1,294 | -25% | Very large individual schemas |
| Budget preload + on-demand schema | 1,644 | -5% | 30+ tools, most used only occasionally |
Why the big gap?
light/normalreplace all tools with 2-3 wrapper tools (mcp__invoke_tool,mcp__get_tool_schema). The LLM fetches schemas on demand.extreme/maximumkeep all tools and only compress each schema in place — savings depend on schema complexity.
Real-world cost impact
Setup | Tokens/call | Monthly cost (DeepSeek V4) |
Without compression | 1,736 | ~$52 (10K calls) |
With | 300 | ~$9 (-83%) |
Accuracy verified
Benchmarked against DeepSeek V4 Flash across 12 scenarios × 5 levels × 3 runs = 180 API calls.
Run it yourself →
🛡️ Security Pipeline — Defense in Depth
Every tool call runs through a serial pipeline. First rejection stops execution:
Agent Request
│
▼
┌─────────────────┐
│ 1. Allow/Deny │ ← Glob pattern matching. Fail-closed.
│ (Whitelist) │
└────────┬────────┘
▼
┌─────────────────┐
│ 2. SSRF Shield │ ← IP blacklist + domain whitelist.
│ │ Blocks 10.*, 192.168.*, 169.254.*
└────────┬────────┘
▼
┌─────────────────┐
│ 3. Injection │ ← 17 heuristic patterns:
│ Detection │ Shell/SQL/NoSQL/Prompt injection
└────────┬────────┘
▼
┌─────────────────┐
│ 4. Rate Limit │ ← Token bucket. Per-tool or global.
│ │ Default: 60 req/min/tool
└────────┬────────┘
▼
┌─────────────────┐
│ 5. Audit Log │ ← Structured JSON. Rotate + compress.
│ │ Every decision recorded.
└────────┬────────┘
▼
Upstream MCP Server🔄 Additional Capabilities
Feature | Description |
Multi-server routing | One proxy, multiple upstream MCP servers. Tool names are prefixed ( |
Hot reload |
|
Request cache | TTL+LRU in-memory cache for read-only tool results. Per-tool stats. |
Streamable HTTP |
|
STDIO mode | Default. Transparent drop-in for local agents. |
How It Works
sequenceDiagram
participant LLM as AI Agent
participant MM as mcp-slim-guard
participant US as Upstream MCP Server
LLM->>MM: tools/list
Note over MM: Compression pipeline<br/>filters + transforms tools
MM-->>LLM: compressed tool list (light: 3 wrappers)
LLM->>MM: mcp__get_tool_schema("search")
MM-->>LLM: full schema for "search"
LLM->>MM: mcp__invoke_tool("search", {q: "..."})
Note over MM: Security pipeline<br/>whitelist → ssrf → injection → ratelimit
MM->>US: forward call
US-->>MM: result
Note over MM: Audit log entry
MM-->>LLM: resultCLI Reference
Command | Description |
| Auto-discover |
| Dry-run policies, show allow/deny for each tool |
| Start proxy (STDIO mode) |
| Start proxy (HTTP mode) |
| Show config summary + policy overview |
| Diagnose upstream server connectivity |
| View audit log |
| Remove mcp-slim-guard.yml and roll back |
Benchmarks
All benchmarks use real MCP server tool schemas (filesystem server, 14 tools) with tiktoken (gpt-4o encoding).
Run them yourself: npm run bench
Token Savings
Level | Tokens | Reduction |
off | 1,736 | baseline |
light | 300 | -83% |
normal | 245 | -86% |
extreme | 1,361 | -22% |
maximum | 1,294 | -25% |
lazy | 1,644 | -5% |
Latency Overhead
Policy pipeline: ~2ms/call (whitelist → ssrf → injection → ratelimit)
Compression (light): <0.05ms
Cache hit: 0.01msAccuracy (DeepSeek V4 Flash)
12 scenarios × 5 levels × 3 runs = 180 API calls. Scenarios include 4 fuzzy-name tests (read vs search, list vs tree).
Level | Accuracy | Notes |
off | 100% | Baseline |
light | ✅ (on-demand) | Wrapper mode uses extra round-trip |
normal | ✅ (on-demand) | Same as light |
Comparison
Feature | mcp-slim-guard | slim-mcp | mcp-compressor | mcp-guardian |
Schema compression | ✅ 5 levels, -86% | ✅ 5 levels, -77% | ✅ | ❌ |
Accuracy validation | ✅ 180 API calls | ✅ 120 API calls | ❌ | — |
Request cache | ✅ TTL+LRU | ❌ | ❌ | ❌ |
Tool allow/deny | ✅ Glob-based | ❌ | ❌ | ✅ |
SSRF protection | ✅ IP + domain | ❌ | ❌ | ✅ |
Injection detection | ✅ 17 patterns | ❌ | ❌ | ✅ |
Rate limiting | ✅ Token bucket | ❌ | ❌ | ✅ |
Audit log | ✅ JSON, rotation | ❌ | ❌ | ✅ |
Hot reload | ✅ SIGHUP | ❌ | ❌ | ❌ |
Multi-server routing | ✅ Prefix auto-route | ❌ | ❌ | ❌ |
HTTP transport | ✅ Streamable HTTP | ❌ | ✅ | ❌ |
Compression + Security | ✅ One proxy | ❌ Compression only | ❌ Compression only | ❌ Security only |
Requirements
Node.js >= 18
Only 5 production dependencies (MCP SDK, commander, js-yaml, micromatch, pino)
Docker
docker build -t mcp-slim-guard .
docker run -i --rm -v $(pwd)/mcp-slim-guard.yml:/app/mcp-slim-guard.yml mcp-slim-guard startLicense
MIT
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Maintenance
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