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  3. MCP Recon
MCP Recon logo
Health: ActiveRecent health check succeeded.Last checked 9/11/2026, 3:15:35 PM

MCP Recon

User RatingsBe the first to rate and review this MCP server!
View Repository30 GitHub StarsTotal stargazers on GitHub for the source repository (30 stars).Visit Website
securityreconnaissancehttpasnmcp

Conversational MCP reconnaissance for HTTP metadata, TLS, headers, technologies, and ASN ownership using httpx and asnmap.

Quick Install

Automated & IDE Setup

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

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

Manual Client & Custom JSON ConfigExpand JSON โ–พ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "nickpending-mcp-recon": {
      "command": "docker",
      "args": [
        "run",
        "mcp/recon"
      ]
    }
  }
}

๐Ÿ’ก Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing Alternatives๐Ÿ”’ More in Security

Overview

The nickpending/mcp-recon MCP server exposes conversational web reconnaissance through MCP-compatible clients. It runs as a Docker container and uses ProjectDiscovery's httpx for HTTP analysis, with asnmap supporting standalone IP, ASN, and organization lookups. Choose lightweight reconnaissance for fast status and server details, or full reconnaissance for headers, certificates, page content, and technology information. Reach for it when an AI assistant needs structured domain or network reconnaissance, with authorization from the target owner.

Use cases

โ€ขRun quick HTTP checks on authorized domains
โ€ขInspect TLS certificates and security headers
โ€ขIdentify technologies and server details
โ€ขLook up ASN and organization ownership
โ€ขGenerate Katana crawl commands from reconnaissance goals

Key features

โ€ขLightweight HTTP reconnaissance
โ€ขFull HTTP and TLS metadata collection
โ€ขStandalone ASN and organization lookup
โ€ขMCP prompts for scans and crawl commands
โ€ขDocker-based deployment
โ€ขhttpx stdin leak workaround

Capabilities & Tool Schemas

Inspect callable tools, capabilities, and parameters exposed to AI agents by MCP Recon.

Extracted Tool Capabilities
Lightweight HTTP reconnaissance
Full HTTP and TLS metadata collection
Standalone ASN and organization lookup
MCP prompts for scans and crawl commands
Docker-based deployment
httpx stdin leak workaround

How MCP Recon works

What nickpending/mcp-recon MCP server does

The nickpending/mcp-recon MCP server turns natural-language requests into reconnaissance operations for web domains and network ownership data. It exposes three primary tools: http_lite_recon, http_full_recon, and asn_lookup.

http_lite_recon performs a faster HTTP-focused check and can return core details such as status code, page title, server information, and IP address. http_full_recon collects broader metadata, including page previews, response headers, TLS certificate information, technology detection, CDN details, and security observations. The full mode retrieves complete page content, so it should be used selectively.

asn_lookup provides a separate lookup path for IP addresses, ASNs, and organization names. It uses ProjectDiscovery's asnmap library to identify ownership information. The project also defines the MCP prompts http_lite_scan and katana_command_generator; the latter generates Katana crawl commands from reconnaissance goals and a requested level of thoroughness.

How it works

The nickpending/mcp-recon MCP server communicates through the Model Context Protocol, allowing an MCP client to invoke reconnaissance tools and receive their results. The server is intended to run as a Docker container connected to the client over standard input and output.

HTTP reconnaissance is powered by ProjectDiscovery's httpx. The implementation works around an issue in which the library can read from standard input even when used as a library, which could interfere with MCP communication. ASN enrichment also has a fallback based on the official asnmap Go library because httpx may not always populate ASN data.

Natural-language requests can select the appropriate operation, but the README identifies the tool names explicitly. For troubleshooting, use the lightweight mode first and reduce the number of domains scanned if performance is poor.

Setup and configuration

Build the container from the repository with:

bash
git clone https://github.com/nickpending/mcp-recon.git
cd mcp-recon
docker build -t mcp/recon -f Dockerfile .

Register the container as an MCP server with a configuration equivalent to:

config.json
{
  "command": "docker",
  "args": ["run", "--rm", "-i", "mcp/recon"]
}

An environment file can be passed to the container with Docker's --env-file option. The documented variable is PDCP_API_KEY, containing a ProjectDiscovery API key. The exact requirements for each reconnaissance operation are not specified in the supplied material.

Claude Desktop is named as a compatible client, and the server is also described as usable with other MCP-compatible tools.

Tools and capabilities

  • Run lightweight HTTP fingerprinting with http_lite_recon.
  • Collect expanded HTTP, TLS, header, content, and technology metadata with http_full_recon.
  • Query IP, ASN, or organization ownership with asn_lookup.
  • Use the http_lite_scan MCP prompt for a quick HTTP scan.
  • Generate Katana crawl commands with the katana_command_generator MCP prompt.

Limitations and notes

Only scan domains you own or are authorized to test. Targets may block scans, and inaccessible domains can produce no results. Full reconnaissance retrieves complete page content and may have greater impact than a lightweight check. The README recommends rate limiting to avoid affecting target systems.

The server is designed around Docker rather than a documented direct binary or package installation. Its ASN fallback addresses silent enrichment failures, but the supplied documentation does not promise complete ASN data for every HTTP result. The project was formerly named Tellix, so older screenshots or references may use that name.

The repository is released under the MIT License.

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

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Adoption & maintenance

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

GitHub stars
30
Stargazers on the source repository.
Last commit
1y ago
Most recent push to the default branch.
Directory activity
3 views
Config copies, upvotes, and views on AllMCPs.

Reviews

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Frequently Asked Questions about MCP Recon

Clone the repository, build the Docker image with `docker build -t mcp/recon -f Dockerfile .`, and configure the MCP client to run `docker run --rm -i mcp/recon`.

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Technical Specs & Signals

Category๐Ÿ”’Security
PricingBring your own API key (usage-based cost)
More technical detailsExpand โ–พ
TransportSTDIO
RuntimeDocker
AuthAPI key
LicenseMIT
ClientsClaude Desktop
Last updatedSep 7, 2026
10/11 checks healthy over the last 32d
Views3
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 stars30
GitHub Star CountTotal stargazers on GitHub representing community popularity (30 stars).
Last commit1y ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Apr 22, 2025
48Quality signal: Fair ยท 48/100How this signal is calculated โ–พ
Server availabilityNot measured

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

Verified ownership10/20
Documentation & tools24/30
Adoption & activity2/15
Community engagement0/10

A guidance signal from public completeness & health data โ€” 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.

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