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ENScan_GO MCP Server

Go-based enterprise-information gathering MCP server for authorized security research, exposing local SSE tools for company search, ICP records, apps, Weibo, WeChat public accounts, mini programs, recruiting data, copyright records, suppliers, investments, branches, and paginated data-source queries.

by WgpSec · submitted by oktofeesh1·added 2026-06-06·
Review first review before installing

Open the source and read safety notes before installing.

Citation facts

Source-backed facts for citing this resource, derived directly from the registry — also available as plain text for AI assistants.

Source URLs
https://github.com/wgpsec/ENScan_GO/blob/master/README.md, https://github.com/wgpsec/ENScan_GO
Brand
ENScan_GO
Safety notes
ENScan_GO is security-research tooling intended for authorized HW/SRC and red-team-style enterprise information gathering., Use only public data sources and authorized accounts; the upstream README says it does not provide cracking or protection-bypass capabilities., Configure request delays, narrow fields, and scoped targets to reduce load on upstream data platforms and avoid account anomalies., Do not use the tool for harassment, doxxing, unauthorized profiling, commercial scraping outside provider terms, or unlawful intelligence gathering., The local SSE MCP server can expose configured data-source access to any MCP client that can reach the endpoint; bind it locally and avoid exposing the port on shared networks.
Privacy notes
Queries, company names, PIDs, ICP records, apps, Weibo accounts, WeChat public accounts, mini programs, recruiting data, copyright records, suppliers, investments, branches, and exported results can be sent to the MCP client and model., ENScan_GO configuration can contain cookies, Tianyancha IDs, auth tokens, API tokens, RiskBird cookies, Qimai cookies, MIIT API endpoints, proxy settings, and user-agent strings., Generated JSON, XLSX, cache files, logs, prompts, and transcripts can reveal target organizations, subsidiaries, suppliers, public accounts, and investigation scope., Keep cookies and API tokens out of prompts, restrict file permissions on the generated config, and clean up exports or `enscan.gob` cache files according to engagement rules.
Author
WgpSec
Submitted by
oktofeesh1
Claim status
unclaimed
Last verified
2026-06-06

Decision playbook

Review trust signals before you adopt

Signals are present but mixed. Use the checklist below to confirm the source and operational safety for your environment.

Compare context
Selected

0

Current score

63

Baseline

Delta

No baseline selected

No major trust-signal divergence detected in the current selection.

Source and provenance checks

Needs review

Confirm ownership and provenance before trusting install instructions.

  • Source link availableRequired

    Open the canonical repository and verify ownership.

    Done
  • Source provenance statusRequired

    Marked as source-backed.

    Done
  • Metadata reviewed

    No reviewed flag detected in metadata.

    Pending

Safety and privacy checks

Complete

Validate risk disclosures before installation or API wiring.

  • Safety notes presentRequired

    Review the listed safety guidance before running commands.

    Done
  • Privacy notes presentRequired

    Review data handling notes before connecting accounts or secrets.

    Done
  • Trust level risk gateRequired

    Trust level does not block evaluation.

    Done

Package and install checks

Needs review

Check package metadata and artifact integrity signals.

  • Install payload available

    Install or copy payload is available for review.

    Done
  • Package verification flag

    No package verification flag provided.

    Pending
  • Checksum metadata

    No checksum provided for downloaded artifact.

    Pending

Compare-driven decision checks

Needs review

Use compare context to validate trade-offs before adoption.

  • Compare tray has multiple entries

    Add at least one more entry to compare trust differences.

    Pending
  • Baseline comparison available

    No baseline peer selected yet.

    Pending
  • Diverging trust signals identified

    No major trust-signal divergence found.

    Pending

Setup at a glance

CLI install

Copy-ready — paste the snippet to get started.

20 minutes

Adoption plan

Balanced adoption plan

Current risk score 24/100. Use staged verification before broader rollout.

Risk 24

Pre-adoption checks

Validate source and review signals before any execution.

  • Confirm source provenanceRequired

    Source URL/provenance metadata is present.

    Done
  • Confirm metadata review state

    No review metadata found; increase manual validation.

    Pending
  • Verify install payload

    Install/config payload exists and can be inspected.

    Done

Security checks

Confirm safety, privacy, and package integrity signals.

  • Review safety notesRequired

    Safety notes are present.

    Done
  • Review privacy notesRequired

    Privacy notes are present.

    Done
  • Verify package integrity metadata

    No package verification/checksum metadata.

    Pending

Rollout

Adopt in controlled steps based on the selected plan.

  • Run in isolated sandbox firstRequired

    Use a constrained sandbox and observe behavior across multiple tasks.

    Pending
  • Roll out graduallyRequired

    Roll out to a small cohort before wider usage.

    Pending
  • Set monitoring and fallback

    Define rollback path and monitor errors after adoption.

    Pending

Evidence readiness

Evidence readiness matrix · balanced

Missing required evidence: Metadata review. Risk score 31.

Risk 31

Source provenance

Present

Source repository/provenance is listed.

Required in this preset

Metadata review

Missing

Review metadata is missing.

Required in this preset

Safety notes

Present

Safety notes are present.

Required in this preset

Privacy notes

Present

Privacy notes are present.

Optional in this preset

Package integrity

Missing

Package integrity metadata is missing.

Optional in this preset

Install payload

Present

Install payload is available.

Required in this preset

Required gaps: Metadata review

Decision timeline

Decision timeline · balanced

Blocking gaps: Check metadata review status. Risk 28.

Risk 28

triage

Confirm source provenanceRequired

Source/provenance metadata is available.

Done

triage

Check metadata review statusRequired

Review metadata is missing.

Pending

verify

Review safety notesRequired

Safety notes are available.

Done

verify

Review privacy notes

Privacy notes are available.

Done

verify

Validate package integrity metadata

Package integrity metadata is missing.

Pending

rollout

Verify install payload and commandsRequired

Install payload is available.

Done

Blockers: Check metadata review status

Prerequisite readiness

Prerequisite readiness

5 prerequisites to line up before setup. Have accounts and credentials ready first.

0/5 ready
Account & credentials2Install & runtime1Configuration1Network & hosting120 minutes

Safety & privacy surface

Safety & privacy surface

5 safety and 4 privacy notes across 4 risk areas. Review closely: credentials & tokens, permissions & scopes, network access, third-party handling.

4 areas
  • SafetyPermissions & scopesENScan_GO is security-research tooling intended for authorized HW/SRC and red-team-style enterprise information gathering.
  • SafetyPermissions & scopesUse only public data sources and authorized accounts; the upstream README says it does not provide cracking or protection-bypass capabilities.
  • SafetyPermissions & scopesConfigure request delays, narrow fields, and scoped targets to reduce load on upstream data platforms and avoid account anomalies.
  • SafetyPermissions & scopesDo not use the tool for harassment, doxxing, unauthorized profiling, commercial scraping outside provider terms, or unlawful intelligence gathering.
  • SafetyNetwork accessThe local SSE MCP server can expose configured data-source access to any MCP client that can reach the endpoint; bind it locally and avoid exposing the port on shared networks.
  • PrivacyThird-party handlingQueries, company names, PIDs, ICP records, apps, Weibo accounts, WeChat public accounts, mini programs, recruiting data, copyright records, suppliers, investments, branches, and exported results can be sent to the MCP client and model.
  • PrivacyCredentials & tokensENScan_GO configuration can contain cookies, Tianyancha IDs, auth tokens, API tokens, RiskBird cookies, Qimai cookies, MIIT API endpoints, proxy settings, and user-agent strings.
  • PrivacyPermissions & scopesGenerated JSON, XLSX, cache files, logs, prompts, and transcripts can reveal target organizations, subsidiaries, suppliers, public accounts, and investigation scope.
  • PrivacyCredentials & tokensKeep cookies and API tokens out of prompts, restrict file permissions on the generated config, and clean up exports or `enscan.gob` cache files according to engagement rules.

Safety notes

  • ENScan_GO is security-research tooling intended for authorized HW/SRC and red-team-style enterprise information gathering.
  • Use only public data sources and authorized accounts; the upstream README says it does not provide cracking or protection-bypass capabilities.
  • Configure request delays, narrow fields, and scoped targets to reduce load on upstream data platforms and avoid account anomalies.
  • Do not use the tool for harassment, doxxing, unauthorized profiling, commercial scraping outside provider terms, or unlawful intelligence gathering.
  • The local SSE MCP server can expose configured data-source access to any MCP client that can reach the endpoint; bind it locally and avoid exposing the port on shared networks.

Privacy notes

  • Queries, company names, PIDs, ICP records, apps, Weibo accounts, WeChat public accounts, mini programs, recruiting data, copyright records, suppliers, investments, branches, and exported results can be sent to the MCP client and model.
  • ENScan_GO configuration can contain cookies, Tianyancha IDs, auth tokens, API tokens, RiskBird cookies, Qimai cookies, MIIT API endpoints, proxy settings, and user-agent strings.
  • Generated JSON, XLSX, cache files, logs, prompts, and transcripts can reveal target organizations, subsidiaries, suppliers, public accounts, and investigation scope.
  • Keep cookies and API tokens out of prompts, restrict file permissions on the generated config, and clean up exports or `enscan.gob` cache files according to engagement rules.

Prerequisites

  • Downloaded ENScan_GO release binary for your operating system, or Go 1.23-compatible tooling to build from source.
  • First-run configuration generated with `./enscan -v`.
  • Valid, authorized cookies or API credentials for the selected enterprise-data sources.
  • Local MCP client support for SSE transport, or a trusted stdio-to-SSE bridge if your client does not connect to SSE endpoints directly.
  • Authorization to collect and process the company, supplier, app, ICP, recruiting, and public-account data requested.

Schema details

Install type
cli
Troubleshooting
No
Source repository stats
Scope
Source repo
Collection metadata
Estimated setup
20 minutes
Difficulty
advanced
Full copyable content
{
  "mcpServers": {
    "enscan-go": {
      "url": "<loopback-sse-url>"
    }
  }
}

About this resource

Content

ENScan_GO MCP Server exposes ENScan_GO's enterprise-information gathering workflows to Claude and other MCP clients through a local SSE server started with ./enscan --mcp. It can search companies, retrieve normalized enterprise field maps, fetch company base information by PID, page through selected data categories, and collect scoped company details such as ICP records, apps, Weibo, WeChat public accounts, jobs, mini programs, copyright records, suppliers, investments, branches, and multi-level subsidiaries.

The project is aimed at authorized security research and red-team information gathering. Its README states that it uses public data, does not provide cracking or bypass methods, and warns that use can cause account anomalies on upstream data platforms.

Source Review

These sources were reviewed on 2026-06-06. Prefer the live repository, README, latest release page, Claude guidance, MCP server implementation, configuration defaults, CLI flag definitions, Go module file, and license file for current binaries, setup flow, SSE endpoint defaults, required credentials, supported fields, data-source behavior, and licensing.

Features

  • Go binary distribution with release archives for macOS, Linux, and Windows.
  • MCP mode started with ./enscan --mcp.
  • Local SSE transport, with default config using a loopback endpoint on port
  • Tools for enterprise search, field-map retrieval, company base info by PID, paginated category fetches, and keyword-driven detail collection.
  • Supported collection categories include ICP records, apps, Weibo, WeChat public accounts, jobs, mini programs, software copyright, suppliers, investments, branches, and holding-company relationships.
  • Data-source options include Aiqicha, Tianyancha, Kuaicha, RiskBird, MIIT ICP, Coolapk, and Qimai, depending on configuration and source availability.
  • Request-delay, timeout, proxy, field-filtering, batch-query, output, and deep search options.
  • Apache-2.0 license.

Installation

Download the release archive for your operating system, then generate the configuration file:

./enscan -v

Add only the data-source cookies and API credentials you are authorized to use, then start the MCP server:

./enscan --mcp

For MCP clients that support local SSE endpoints, connect to the default SSE server on loopback host 127.0.0.1, port 8080, and path /sse:

{
    "mcpServers": {
      "enscan-go": {
        "url": "<loopback-sse-url>"
      }
    }
  }

If your MCP client only supports stdio servers, use a trusted local SSE bridge and keep the ENScan_GO endpoint bound to localhost.

Use Cases

  • Search for a company and inspect candidate enterprise records before a sanctioned security assessment.
  • Collect ICP, app, mini-program, WeChat public-account, Weibo, or recruiting data for an authorized organization.
  • Explore investment, branch, holding-company, supplier, and subsidiary relationships with explicit scope boundaries.
  • Ask Claude to summarize exported JSON data from a scoped ENScan_GO query.
  • Use request delays and field filters to keep public-data collection narrow and reviewable.

Safety and Privacy

ENScan_GO MCP Server can materially expand the amount of organization, subsidiary, supplier, app, public-account, recruiting, and registration data an assistant can gather. Use it only for authorized security research, compliance, or internal asset-discovery workflows with clear target scope and written rules of engagement.

The server depends on cookies or API credentials for upstream data sources. Keep those credentials in the generated config file, not in prompts. Use request delays, narrow field selections, and source-specific terms of service review before collecting data. Do not expose the local SSE port beyond the machine that needs it, and do not allow untrusted MCP clients to connect.

Outputs, logs, cache files, spreadsheets, prompts, and transcripts can reveal investigation targets, corporate structures, supplier relationships, public accounts, app inventories, and data-source account usage. Store exports in an approved engagement workspace, restrict access, and remove cache files such as enscan.gob when they are no longer needed.

Duplicate Check

Existing MCP content includes other security and OSINT-adjacent tools, but no dedicated ENScan_GO, ENScan, wgpsec/ENScan_GO, or Chinese enterprise-data MCP entry was found in content/mcp. ENScan_GO MCP Server is distinct because it documents the Go binary's local SSE MCP mode for scoped company, ICP, app, public-account, supplier, investment, branch, and enterprise data-source queries.

Source citations

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Listed on HeyClaude
[![Listed on HeyClaude](https://heyclau.de/badge/mcp/enscan-go-mcp-server.svg)](https://heyclau.de/entry/mcp/enscan-go-mcp-server)

How it compares

ENScan_GO MCP Server side by side with 3 alternatives on trust, install, platform support, and disclosed safety notes — all from reviewed registry metadata.

3 trust signals differ across this comparison (Review status, Source provenance, Submitter).

Field

Go-based enterprise-information gathering MCP server for authorized security research, exposing local SSE tools for company search, ICP records, apps, Weibo, WeChat public accounts, mini programs, recruiting data, copyright records, suppliers, investments, branches, and paginated data-source queries.

Open dossier

49 remote MCP security tools for CVE/KEV/CWE/EPSS lookup, composite CVSS+EPSS+KEV+PoC risk scoring, CVSS v3.x vector parsing, domain/IP/IOC enrichment, dependency and web intelligence checks, MITRE ATLAS AI/ML attacks, and MITRE D3FEND defenses. Anonymous tier available; Pro tier uses an API key.

Open dossier

Connect Claude to Glean — run company-wide enterprise search and chat with the Glean AI Assistant across your connected workplace apps — with the official MCP server for the Glean platform.

Open dossier

Offensive security MCP framework that connects AI agents to a large toolkit for authorized penetration testing, vulnerability discovery, CTF, OSINT, and security research workflows.

Open dossier
Next steps
Trust
Review statusDiffersNot reviewedReviewedJSONbored · 2026-04-30Not reviewedNot reviewed
Package trustPackage not verifiedPackage not verifiedPackage not verifiedPackage not verified
Source provenanceDiffersSource-backedSubmission linkedImport PRSource-backedSource-backed
SubmitterDiffersoktofeesh1UPinaroktofeesh1
Install riskReview firstReview firstReview firstReview first
Notes Safety ✓ Privacy ✓ Safety ✓ Privacy ✓ Safety ✓ Privacy ✓ Safety ✓ Privacy ✓
BrandContrastAPI logoContrastAPIHexStrike AI logoHexStrike AI
Categorymcpmcpmcpmcp
SourceSource-backedSource-backedSource-backedSource-backed
AuthorWgpSecUPinarGlean0x4m4
Added2026-06-062026-04-202026-06-172026-06-05
Platforms
Harness
Source repo
Safety notesENScan_GO is security-research tooling intended for authorized HW/SRC and red-team-style enterprise information gathering. Use only public data sources and authorized accounts; the upstream README says it does not provide cracking or protection-bypass capabilities. Configure request delays, narrow fields, and scoped targets to reduce load on upstream data platforms and avoid account anomalies. Do not use the tool for harassment, doxxing, unauthorized profiling, commercial scraping outside provider terms, or unlawful intelligence gathering. The local SSE MCP server can expose configured data-source access to any MCP client that can reach the endpoint; bind it locally and avoid exposing the port on shared networks.Treat CVE, EPSS, KEV, IOC, and OSINT enrichment as advisory input that still needs security review before acting on it.Glean recommends the remote MCP server integrated directly in Glean; this local server is intended for experimental and testing use. Search and chat run against your connected company data — scope the API token to the right user/permissions.HexStrike AI orchestrates offensive security tools and can perform scanning, enumeration, exploitation support, password attacks, OSINT, and vulnerability research. Use only on systems, domains, networks, binaries, accounts, and datasets where you have explicit authorization. Agent-driven scans can create high traffic, trigger alarms, lock accounts, alter evidence, or disrupt services if scope and rate limits are not enforced. Do not allow autonomous exploit generation, credential attacks, or destructive actions against third-party systems without human review and written permission. Run in an isolated environment with controlled credentials, logging, allowlists, and clear stop conditions.
Privacy notesQueries, company names, PIDs, ICP records, apps, Weibo accounts, WeChat public accounts, mini programs, recruiting data, copyright records, suppliers, investments, branches, and exported results can be sent to the MCP client and model. ENScan_GO configuration can contain cookies, Tianyancha IDs, auth tokens, API tokens, RiskBird cookies, Qimai cookies, MIIT API endpoints, proxy settings, and user-agent strings. Generated JSON, XLSX, cache files, logs, prompts, and transcripts can reveal target organizations, subsidiaries, suppliers, public accounts, and investigation scope. Keep cookies and API tokens out of prompts, restrict file permissions on the generated config, and clean up exports or `enscan.gob` cache files according to engagement rules.Queried domains, IPs, dependencies, vulnerabilities, and indicators can reveal investigation targets and may enter model context.Search results and Glean Assistant responses surface internal company content into the MCP client context and the model's prompt. GLEAN_API_TOKEN and GLEAN_INSTANCE are secrets — keep them in the client config or environment, never in shared repositories.Targets, scan results, credentials, tokens, exploit notes, screenshots, OSINT findings, and vulnerability reports may be sent to the MCP client and model. Tool logs can contain customer data, secrets, infrastructure details, private IP ranges, bug bounty findings, and regulated incident information. Review retention, telemetry, and sharing settings for every AI client and security tool connected to the workflow.
Prerequisites
  • Downloaded ENScan_GO release binary for your operating system, or Go 1.23-compatible tooling to build from source.
  • First-run configuration generated with `./enscan -v`.
  • Valid, authorized cookies or API credentials for the selected enterprise-data sources.
  • Local MCP client support for SSE transport, or a trusted stdio-to-SSE bridge if your client does not connect to SSE endpoints directly.
— none listed
  • A Glean account/instance (GLEAN_INSTANCE) and an API token (GLEAN_API_TOKEN).
  • Node.js (npx) and an MCP client such as Claude Code or Claude Desktop.
  • Python 3.8 or newer.
  • Security tooling required for the selected modules, such as network, web, cloud, password, binary-analysis, OSINT, or CTF tools.
  • MCP client such as Claude Desktop, Cursor, VS Code Copilot, Roo Code, 5ire, or another compatible host.
  • Isolated lab, test network, bug bounty scope, or written authorization for every target.
Install
Download an ENScan_GO release archive, configure credentials with ./enscan -v, then run ./enscan --mcp
claude mcp add --transport http contrastapi https://api.contrastcyber.com/mcp/
claude mcp add glean -e GLEAN_API_TOKEN=<your-token> -e GLEAN_INSTANCE=<your-instance> -- npx -y @gleanwork/mcp-server
git clone https://github.com/0x4m4/hexstrike-ai.git && cd hexstrike-ai && python3 -m venv hexstrike-env && hexstrike-env/bin/pip install -r requirements.txt
Config
{
  "mcpServers": {
    "enscan-go": {
      "url": "<loopback-sse-url>"
    }
  }
}
{
  "mcpServers": {
    "contrastapi": {
      "url": "https://api.contrastcyber.com/mcp/",
      "type": "http"
    }
  }
}
{
  "mcpServers": {
    "glean": {
      "command": "npx",
      "args": ["-y", "@gleanwork/mcp-server"],
      "env": {
        "GLEAN_API_TOKEN": "<your-token>",
        "GLEAN_INSTANCE": "<your-instance>"
      }
    }
  }
}
{
  "mcpServers": {
    "hexstrike-ai": {
      "command": "/ABSOLUTE_PATH_TO/hexstrike-ai/hexstrike-env/bin/python",
      "args": [
        "/ABSOLUTE_PATH_TO/hexstrike-ai/hexstrike_mcp.py",
        "--server",
        "LOCAL_HEXSTRIKE_SERVER_URL"
      ]
    }
  }
}
Citations
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