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Mcpcap logo
Health: ActiveRecent health check succeeded.Last checked 9/21/2026, 2:32:03 PM

Mcpcap

User RatingsBe the first to rate and review this MCP server! Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time β€” check back soon.
View Repository51 GitHub StarsTotal stargazers on GitHub for the source repository (51 stars).Visit Website

Network analysis for the AI age

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag β€” we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "mcpcap": {
      "command": "uvx",
      "args": [
        "mcpcap"
      ]
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing AlternativesπŸ’» More in Developer Tools

Documentation Overview

mcpcap

mcpcap logo

A modular Python MCP (Model Context Protocol) server for analyzing PCAP files. mcpcap exposes protocol-specific analysis tools that accept a local file path or remote HTTP URL at call time, so the server stays stateless and works cleanly with MCP clients.

Overview

mcpcap uses a modular architecture to analyze different network protocols found in PCAP files. Each module provides specialized analysis tools that can be called independently with any PCAP file, making it perfect for integration with Claude Desktop and other MCP clients.

Key Features

  • Stateless MCP Tools: Each analysis call supplies its own PCAP path or URL
  • Modular Architecture: DNS, DHCP, ICMP, TCP, SIP, and CapInfos modules with easy extensibility for new protocols
  • Advanced TCP Analysis: Connection lifecycle, traffic patterns, retransmissions, and flow inspection
  • Local & Remote PCAP Support: Analyze files from local storage or HTTP URLs
  • Scapy Integration: Leverages scapy's comprehensive packet parsing capabilities
  • Specialized Analysis Prompts: Security, networking, and forensic analysis guidance
  • JSON Responses: Structured data format optimized for LLM consumption

Installation

mcpcap requires Python 3.10 or greater.

Using pip

Terminal
pip install mcpcap

Using uv

bash
uv add mcpcap

Using uvx (for one-time usage)

bash
uvx mcpcap

Using Docker

Build the image from the repository root:

Terminal
docker build -t mcpcap .

Run it over HTTP for MCP clients that connect to a network endpoint:

Terminal
docker run --rm \
  -p 8080:8080 \
  -v "$(pwd)/examples:/pcaps:ro" \
  mcpcap --transport http --host 0.0.0.0 --port 8080

Run it over stdio for clients that can spawn docker run directly:

Terminal
docker run --rm -i \
  -v "$(pwd)/examples:/pcaps:ro" \
  mcpcap

When you mount local captures into the container, use the container path in tool calls:

text
analyze_dns_packets("/pcaps/dns.pcap")

Remote http:// and https:// PCAP URLs work without a volume mount because mcpcap downloads them inside the container at call time.

Using Docker Compose

For the default HTTP workflow, start the bundled Compose service:

Terminal
docker compose up

This pulls ghcr.io/mcpcap/mcpcap:latest, publishes http://127.0.0.1:8080/mcp, and mounts ./examples into the container as /pcaps.

text
analyze_dns_packets("/pcaps/dns.pcap")

To analyze your own captures, change the volume in docker-compose.yml from ./examples:/pcaps:ro to your local capture directory.

For local development against the checked-out source instead of GHCR:

Terminal
docker compose -f docker-compose.yml -f docker-compose.dev.yml up --build

Quick Start

1. Start the MCP Server

Start mcpcap as a stateless MCP server:

bash
# Default stdio transport for Claude Desktop and similar clients
mcpcap

# Start with specific modules only
mcpcap --modules dns,tcp

# With packet analysis limits
mcpcap --max-packets 1000

# Start an HTTP transport server for remote MCP clients
mcpcap --transport http --host 127.0.0.1 --port 8080

2. Connect Your MCP Client

Use stdio transport for local MCP clients like Claude Desktop:

config.json
{
  "mcpServers": {
    "mcpcap": {
      "command": "mcpcap",
      "args": []
    }
  }
}

Use HTTP transport when your MCP client expects a network endpoint:

bash
mcpcap --transport http --host 127.0.0.1 --port 8080

Point your HTTP-capable MCP client at:

text
http://127.0.0.1:8080/mcp

Docker users can publish the same endpoint with:

Terminal
docker run --rm \
  -p 8080:8080 \
  -v "/path/to/captures:/pcaps:ro" \
  mcpcap --transport http --host 0.0.0.0 --port 8080

Or with Compose:

Terminal
docker compose up

3. Analyze PCAP Files

Use the analysis tools with any PCAP file by providing the file path or URL when you call the tool:

DNS Analysis:

Code
analyze_dns_packets("/path/to/dns.pcap")
analyze_dns_packets("https://example.com/remote.pcap")

DHCP Analysis:

Code
analyze_dhcp_packets("/path/to/dhcp.pcap")
analyze_dhcp_packets("https://example.com/dhcp-capture.pcap")

ICMP Analysis:

Code
analyze_icmp_packets("/path/to/icmp.pcap")
analyze_icmp_packets("https://example.com/ping-capture.pcap")

TCP Connection Analysis:

Code
analyze_tcp_connections("/path/to/capture.pcap")
analyze_tcp_connections("/path/to/capture.pcap", server_ip="192.168.1.1", server_port=80)

TCP Pattern Analysis:

Code
analyze_tcp_anomalies("/path/to/capture.pcap", server_ip="10.0.0.1")

TCP Retransmission Analysis:

Code
analyze_tcp_retransmissions("/path/to/capture.pcap")

Traffic Flow Analysis:

Code
analyze_traffic_flow("/path/to/capture.pcap", server_ip="192.168.1.100")

SIP Analysis:

Code
analyze_sip_packets("/path/to/voip-signaling.pcap")
analyze_sip_packets("https://example.com/sip-call-flow.pcap")

CapInfos Analysis:

Code
analyze_capinfos("/path/to/any.pcap")
analyze_capinfos("https://example.com/capture.pcap")

If you are using Docker with a bind mount, pass the in-container path instead of the host path:

text
analyze_capinfos("/pcaps/dns.pcap")

Available Tools

DNS Analysis Tools

  • analyze_dns_packets(pcap_file): Complete DNS traffic analysis
    • Extract DNS queries and responses
    • Identify queried domains and subdomains
    • Analyze query types (A, AAAA, MX, CNAME, etc.)
    • Track query frequency and patterns
    • Detect potential security issues

DHCP Analysis Tools

  • analyze_dhcp_packets(pcap_file): Complete DHCP traffic analysis
    • Track DHCP transactions (DISCOVER, OFFER, REQUEST, ACK)
    • Identify DHCP clients and servers
    • Monitor IP address assignments and lease information
    • Analyze DHCP options and configurations
    • Detect DHCP anomalies and security issues

ICMP Analysis Tools

  • analyze_icmp_packets(pcap_file): Complete ICMP traffic analysis
    • Analyze ping requests and replies with response times
    • Identify network connectivity and reachability issues
    • Track TTL values and routing paths (traceroute data)
    • Detect ICMP error messages (unreachable, time exceeded)
    • Monitor for potential ICMP-based attacks or reconnaissance

TCP Analysis Tools

  • analyze_tcp_connections(pcap_file, server_ip=None, server_port=None, detailed=False): TCP connection state analysis

    • Track TCP three-way handshake (SYN, SYN-ACK, ACK)
    • Analyze connection lifecycle and termination (FIN, RST)
    • Identify successful vs failed connections
    • Filter by server IP and/or port
    • Detect connection issues and abnormal closures
  • analyze_tcp_anomalies(pcap_file, server_ip=None, server_port=None): Observational TCP traffic analysis

    • Summarize handshakes, flags, resets, and retransmissions
    • Surface directional RST and retransmission patterns
    • Report connection lifecycle metrics
    • Return factual traffic patterns for further investigation
  • analyze_tcp_retransmissions(pcap_file, server_ip=None, threshold=0.02): TCP retransmission analysis

    • Measure overall and per-connection retransmission rates
    • Identify connections with quality issues
    • Compare against configurable thresholds
    • Detect network congestion and packet loss
  • analyze_traffic_flow(pcap_file, server_ip, server_port=None): Bidirectional traffic flow analysis

    • Analyze client-to-server vs server-to-client traffic
    • Identify traffic asymmetry
    • Determine RST packet sources
    • Interpret connection patterns and behaviors

SIP Analysis Tools

  • analyze_sip_packets(pcap_file): SIP signaling analysis
    • Parse SIP requests and responses across UDP and TCP transports
    • Extract call identifiers, CSeq values, endpoints, and key signaling headers
    • Summarize request methods and response code classes
    • Surface user agents, signaling servers, and transport usage
    • Support VoIP troubleshooting, security review, and forensic reconstruction

CapInfos Analysis Tools

  • analyze_capinfos(pcap_file): PCAP file metadata and statistics
    • File information (size, name, link layer encapsulation)
    • Packet statistics (count, data size, average packet size)
    • Temporal analysis (duration, timestamps, packet rates)
    • Data throughput metrics (bytes/second, bits/second)
    • Similar to Wireshark's capinfos(1) utility

Analysis Prompts

mcpcap provides specialized analysis prompts to guide LLM analysis:

DNS Prompts

  • security_analysis - Focus on threat detection, DGA domains, DNS tunneling
  • network_troubleshooting - Identify DNS performance and configuration issues
  • forensic_investigation - Timeline reconstruction and evidence collection

DHCP Prompts

  • dhcp_network_analysis - Network administration and IP management
  • dhcp_security_analysis - Security threats and rogue DHCP detection
  • dhcp_forensic_investigation - Forensic analysis of DHCP transactions

ICMP Prompts

  • icmp_network_diagnostics - Network connectivity and path analysis
  • icmp_security_analysis - ICMP-based attacks and reconnaissance detection
  • icmp_forensic_investigation - Timeline reconstruction and network mapping

TCP Prompts

  • tcp_connection_troubleshooting - Connection issues, handshake analysis, termination patterns
  • tcp_security_analysis - Attack detection, firewall analysis, anomaly identification

Read the full README β†’View source on GitHub β†’

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks β€” not a rating.

GitHub stars
51
Stargazers on the source repository.
Last commit
2mo ago
Most recent push to the default branch.

Reviews

No reviews yet β€” be the first to share how this listing worked for you.

Frequently Asked Questions about Mcpcap

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "mcpcap": { "command": "uvx", "args": ["mcpcap"] } }

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Technical Specs & Signals

CategoryπŸ’»Developer Tools
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimePython
Last updatedJul 16, 2026
6/6 checks healthy over the last 46d
Views0
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars51
GitHub Star CountTotal stargazers on GitHub representing community popularity (51 stars).
Last commit2mo ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Jul 16, 2026
39Quality signal: Fair Β· 39/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools13/30
Adoption & activity6/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 3d ago via OSV.dev Β· mcpcap (PyPI)

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