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  3. Beelzebub
Beelzebub logo
Health: ActiveRecent health check succeeded.Last checked 9/9/2026, 6:04:11 PM

Beelzebub

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View Repository2.2k GitHub StarsTotal stargazers on GitHub for the source repository (2,170 stars).Visit Website
securityhoneypotprompt-injectionmcpmonitoring

Runs configurable MCP and network decoys to detect prompt injection and observe malicious agent behavior.

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.

One-click editor setup isn’t available for this listing yet β€” we don’t have a confirmed install command, and we’d rather show nothing than point your editor at the wrong package or host. Follow the project’s own setup instructions, linked above.

Manual Client & Custom JSON ConfigExpand JSON β–Ύ
No confirmed setup config for this listing yet. We only publish a config block when the install details come from the project itself β€” its README, its docs, or a verified owner. We haven’t found those for mariocandela/beelzebub, and we’d rather show nothing than a guess you’d paste into your client. Follow the project’s own setup instructions for the current steps.
Install Directory Badge Claim listing AlternativesπŸ”’ More in Security

Overview

The mariocandela/beelzebub MCP server deploys deception services that expose decoy interactions over MCP and several network protocols. YAML files define services and regex-based command matching, while optional OpenAI or Ollama integrations can generate adaptive responses. It also supports plugins, Prometheus metrics, RabbitMQ event streaming, Docker, and Helm-based deployment. Reach for it when testing whether AI agents attempt suspicious actions or when collecting interaction data from simulated services.

Use cases

β€’Test agents for prompt-injection responses
β€’Deploy decoy MCP tools for security monitoring
β€’Collect interaction data from simulated services
β€’Validate deception-service configuration in CI
β€’Extend decoy behavior with Go plugins

Key features

β€’MCP, SSH, HTTP, TCP, and TELNET decoys
β€’YAML service definitions with regex matching
β€’OpenAI and Ollama response generation
β€’Go plugin system
β€’Prometheus and RabbitMQ observability
β€’Docker and Helm deployment

Capabilities & Tool Schemas

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

Extracted Tool Capabilities
MCP, SSH, HTTP, TCP, and TELNET decoys
YAML service definitions with regex matching
OpenAI and Ollama response generation
Go plugin system
Prometheus and RabbitMQ observability
Docker and Helm deployment

How Beelzebub works

What mariocandela/beelzebub MCP server does

The mariocandela/beelzebub MCP server is a deception runtime for creating decoy services intended to attract and record suspicious behavior. Its supported protocols include MCP, SSH, HTTP, TCP, and TELNET. The MCP service is relevant to agent-security testing: an agent can be given tools or interactions outside its normal task profile, allowing operators to observe whether it follows malicious instructions or attempts prompt injection.

Service behavior can be described with YAML rather than implemented entirely in code. Regular-expression command matching determines which configured response applies. Optional LLM support from OpenAI or Ollama can produce context-sensitive responses during an interaction.

How it works

The runtime loads a core configuration file and a directory of service definitions, then starts the enabled deception services. The run command accepts separate paths for these inputs and applies a configurable per-service memory limit. The validate command parses and checks the configuration without starting listeners, which makes it suitable for CI validation.

Extension points are provided through the Go SDK in pkg/plugin. Developers can implement command-response plugins, HTTP handlers, or binary TCP wire plugins. Plugins are registered through Go initialization and can be installed from GitHub, then included in a local or Docker build. TCP services can also define message framing and explicitly order wire plugins for stateful binary exchanges.

Setup and configuration

The repository provides an installer with local and Docker modes. Local development can also use make start; Docker builds and runs through make docker. A Helm chart is included for Kubernetes deployments. The documented default configuration locations are ./configurations/beelzebub.yaml for core settings and ./configurations/services/ for service definitions.

The CLI binary provides run, validate, plugin, and version commands. plugin install fetches an external plugin from GitHub and can append it to the plugin configuration. The project’s local build path requires Go, while the Docker path requires Docker; the excerpt does not specify an MCP client installation command or client-specific configuration.

Tools and capabilities

The mariocandela/beelzebub MCP server supports:

  • MCP, SSH, HTTP, TCP, and TELNET deception services.
  • YAML-defined services with regular-expression command matching.
  • Adaptive response generation through OpenAI or Ollama integrations.
  • Go plugins for command, HTTP, and binary TCP behavior.
  • TCP framing modes including fixed length, BER, length-prefix, and varint length-prefix formats.
  • Prometheus metrics and RabbitMQ event streaming.
  • Docker images and Kubernetes deployment through Helm.
  • Graceful shutdown and configurable memory limits.

Limitations and notes

This project is a deception and observation runtime, not a general-purpose MCP tool provider. Its usefulness depends on the decoy services and configuration supplied by the operator. The excerpt does not document a hosted endpoint, a required API key, supported desktop clients, or environment-variable configuration. OpenAI and Ollama are listed as LLM options, but their individual setup requirements are not specified here.

The MCP protocol is one part of a broader multi-protocol runtime, so deployment may involve listeners and service definitions beyond an MCP-only test. External plugins also introduce a build and installation step before they become part of a local or Docker runtime.

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
2.2k
Stargazers on the source repository.
Last commit
1mo 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 Beelzebub

The README documents `./install.sh --local` for local installation, `./install.sh --docker` for Docker, `make start` for a local Go build, and `make docker` for a Docker build. Kubernetes deployment uses the included Helm chart.

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Technical Specs & Signals

CategoryπŸ”’Security
PricingFree
More technical detailsExpand β–Ύ
AuthNo auth required
LicenseApache-2.0
Last updatedSep 7, 2026
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 stars2,170
GitHub Star CountTotal stargazers on GitHub representing community popularity (2,170 stars).
Last commit1mo ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Aug 10, 2026
51Quality signal: Good Β· 51/100How 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 & tools20/30
Adoption & activity8/15
Community engagement0/10

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