mitmproxy-mcp MCP Server
mplogas/mitmproxy-mcp
MCP server for network-level TLS interception and IoT security testing. Orchestrates mitmproxy and tshark to intercept traffic from devices connecting to a WiFi access point, automatically flagging credentials, API keys, and certificate pinning failures.
claude mcp add agentrank -- npx -y agentrank-mcp-server Overview
mplogas/mitmproxy-mcp is a Python MCP server licensed under MIT. MCP server for network-level TLS interception and IoT security testing. Orchestrates mitmproxy and tshark to intercept traffic from devices connecting to a WiFi access point, automatically flagging credentials, API keys, and certificate pinning failures. Topics: ai-agents, iot, mcp, mitmproxy, security-tools, tshark.
Ranked #13 out of 116 indexed tools.
Actively maintained with commits in the last week.
Ecosystem
Score Breakdown
1 stars → early stage
Last commit 1d ago → actively maintained
No issues filed → no history to score
1 contributor → solo project
No dependents → no downstream usage
243 weekly installs → early adoption
Weights: Freshness 25% · Issue Health 25% · Dependents 25% · Stars 15% · Contributors 10% · How we score →
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From the README
# mitm-mcp MCP server for network-level TLS interception and IoT security testing. Orchestrates [mitmproxy](https://mitmproxy.org/) and [tshark](https://www.wireshark.org/) to intercept traffic from devices connecting to a WiFi access point, automatically flagging credentials, API keys, and certificate pinning failures. Exposes operations as [Model Context Protocol](https://modelcontextprotocol.io/) tools over stdio transport. Built for use with Claude Code on a Raspberry Pi 5, but works with any MCP client. ## What it does - **TLS interception:** transparent proxy via mitmproxy, no device configuration needed - **Finding extraction:** auto-detects auth tokens, credentials, cloud keys, cert pinning failures, interesting endpoints - **Packet capture:** raw pcap via tshark for evidence - **WiFi AP management:** toggle hostapd/dnsmasq/iptables per engagement - **Engagement logging:** structured JSONL flow logs, per-engagement folders, evidence chain with CA cert ## Requirements - PyRead full README on GitHub →
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