Wireshark MCP

MCP serverSecurity

wireshark-mcp gives your AI the ability to analyze network traffic using tshark, the command-line capture tool behind Wireshark. Once added, your AI can inspect packet captures to spot suspicious activity, audit network behavior, and dig into traffic details during security investigations.

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What your AI can do with it

  • Analyze packet captures to detect threats
  • Run security audits on network traffic
  • Deep-dive into traffic details with tshark
  • Investigate suspicious network activity

Getting started

  1. Save this item in Your setup as a reference.
  2. Read the source or reference documentation for its setup requirements. Saving it here does not connect it to your AI.
  3. Check this page for availability before trying to install it through Ahel.

From the project's README

As published by bx33661/wireshark-mcp in README.md.

Give your AI assistant a packet analyzer.

Drop a .pcap file, ask questions in plain English — get answers backed by real tshark data.


What is this?

An MCP server that wraps tshark (and optional Wireshark suite tools) into a structured analysis interface. Works with Claude Desktop, Claude Code, Cursor, VS Code, and 18+ other MCP clients.

You:    "Find all DNS queries going to suspicious domains in this capture."
Claude: [calls wireshark_extract_dns_queries → wireshark_detect_dns_tunnel]
        "Found repeated high-entropy DNS queries consistent with tunneling: ..."

Install

Prerequisites: Python 3.10+ and Wireshark with tshark on PATH.

Wireshark MCP 3.0 uses the stable MCP Python SDK 2.x line (mcp>=2.1.1,<3).

pip install wireshark-mcp
wireshark-mcp install   # choose from detected MCP clients

Restart your AI client — done.

Run wireshark-mcp doctor if anything looks off. See docs/manual-configuration.md for manual setup or platform-specific notes.


Quick Start

Point your AI client at a .pcap file and try:

Analyze capture.pcap using the Wireshark MCP tools.
Start with wireshark_open_file, then run wireshark_quick_analysis.
Use wireshark_aggregate for any capture-wide count or distribution.
Write findings to report.md.

Tools

52 tools, each backed by real tshark output — organized into categories:

CategoryHighlightsCount
Entry & Workflowwireshark_open_file, wireshark_quick_analysis2
Packet AnalysisPacket list, details, bytes, context, stream follow, search, file info8
Data ExtractionHTTP requests, DNS queries, arbitrary fields, object export4
StatisticsAggregate/group/distinct/top-k/time buckets, protocol hierarchy, endpoints, conversations, I/O graph, expert info, service response time, flow graph8
Security & AnomalyCredential scan, port scan, DNS tunnel, DoS, beaconing, exfiltration, protocol anomalies, YARA8
Protocol Analysiswireshark_analyze_protocol (20 protocols), TCP health, ARP spoofing3
Decrypt & DissectionTLS/WPA decrypt, decryption check, decode-as, protocol preferences5
Forensics & EnrichmentTLS fingerprints, file signature scan, GeoIP3
File Ops, Capture & SuiteLive capture, interfaces, merge, filter-save, editcap trim/split/dedup/time-shift, frame extract, text2pcap, capabilities11

One tool covers 20 protocols rather than 20 tools covering one each: wireshark_analyze_protocol takes a protocol argument (tls_handshakes, mqtt, modbus, s7comm, zigbee, wifi, rtp, kerberos, …) and applies the right fields and display filter for it. The field names are the point — s7comm.param.item.dbnum is not something a caller should have to guess, and a wrong guess returns an empty result that reads like a clean capture.

The server starts with only tshark required. Optional tools (capinfos, mergecap, editcap, dumpcap, text2pcap) are auto-detected and enable extra features when present.

Context cost

The tool list travels in the prompt prefix of every request your client sends, so its size is a fixed per-request cost. The default surface is ~22 KB — about 9 KB of parameter schema, 5 KB of descriptions, and 3 KB of read/write annotations — and it is byte-identical across restarts so clients can cache the prefix rather than re-reading it each session.

If your client never captures live traffic or writes pcaps, --profile advertises less:

ProfileToolsPayloadDrops
full (default)52~22 KBnothing
analysis40~17 KBlive capture, interface listing, all file-writing tools
core32~14 KBthe above, plus decryption, dissection overrides, and low-level views
wireshark-mcp serve --profile core

Runtime prompts and protocol recommendations respect the selected profile. Static guides may describe full-only workflows, but the server never recommends an excluded tool during capture discovery.

Tool results are bounded too, since a result stays in the conversation for the rest of the session. Output over 8000 characters is truncated head-and-tail with a marker, and the tool's offset / limit / display_filter parameters are the way to page through the rest. Raise or lower the ceiling with:

export WIRESHARK_MCP_MAX_RESULT_CHARS=16000

Every tool also declares whether it reads or writes, so clients can auto-approve the 41 read-only analysis tools and still prompt for the 11 that create files (live capture, merge, filter-save, editcap, text2pcap, frame extract, object export).

In 3.0, those 11 tools fail closed until WIRESHARK_MCP_ALLOWED_DIRS names existing directories. Remote HTTP/SSE binding also stays loopback-only unless --allow-insecure-http is explicitly supplied behind a trusted authenticated TLS proxy. See the 3.0 security migration guide.


Documentation

TopicLink
Documentation indexdocs/README.md
Capture-wide aggregationdocs/aggregation.md
Platform setup (macOS/Linux/Windows)docs/platform-validation.md
Manual client configurationdocs/manual-configuration.md
Deployment scenariosdocs/deployment-scenarios.md
3.0 security migrationdocs/security-hardening-v3.md
Prompt templatesdocs/prompt-engineering.md
Architecturedocs/architecture.md
Release checklistdocs/release-checklist.md
ContributingCONTRIBUTING.md
ChangelogCHANGELOG.md
Feature roadmapROADMAP.md
Security policySECURITY.md

Development

pip install -e ".[dev]"
pytest tests/ -v
ruff check src/ tests/

See CONTRIBUTING.md for the full guide.


Signals

GitHub stars
288
Forks
28
Last commit
Oct 2026
Advanced
Delivery
wireshark-mcp MCP server → your Ahel connector (mcp.ahel.ai) → your AI.
Item type
mcp-server
Key
io-github-bx33661-wireshark-mcp
Source
github.com/bx33661/wireshark-mcp