Is the Honey MCP Server MCP server free to use?

Yes. Honey MCP Server is listed on AllMCPs as a free, open Model Context Protocol server you can install into Claude Desktop, Cursor, or any MCP-compatible client.

Is the Honey MCP Server MCP server free to use?

Yes. Honey MCP Server is listed on AllMCPs as a free, open Model Context Protocol server you can install into Claude Desktop, Cursor, or any MCP-compatible client.

Honey MCP Server

Search instances across GCP, AWS, K8s, Consul & Proxmox

Quick Install

Automated & IDE Setup

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

Add to Cursor Add to VS Code

Manual Client & Custom JSON ConfigExpand JSON ▾

Install Config Generator

Choose your client

claude_desktop_config.json

{
  "mcpServers": {
    "honey-mcp-server": {
      "command": "npx",
      "args": [
        "-y",
        "honey-mcp-server"
      ]
    }
  }
}

💡 Paste into ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows)

Documentation Overview

honey logo

honey

Alpha software — APIs, config schema, and CLI flags may change between releases without notice.

CLI to search GCP, AWS, Kubernetes, Docker, Consul, Proxmox, and TrueNAS instances in parallel, then SSH, docker exec, or run recipes against results via a TUI, web UI, or MCP server.

Prerequisites

Go 1.26.2+ (for building from source)
Credentials for each backend — see Providers

Install

Homebrew (macOS):

bash

brew install --cask shareed2k/tap/honey

Debian/Ubuntu (.deb):

bash

# grab the .deb for your arch from the latest release, then:
dpkg -i honey_*_linux_amd64.deb        # or _arm64

Installs honey to /usr/bin, a systemd service (honey.service, runs as an unprivileged honey user), an example config at /etc/honey/config.yaml, and the honey-plugin-init shim (for docker plugins). Then:

bash

sudoedit /etc/honey/config.yaml        # configure backends / mesh
systemctl enable --now honey
journalctl -u honey -f

For docker: steps / docker plugins, honey needs to reach the Docker socket. This is not granted on install (docker-group membership is root-equivalent) — opt in explicitly:

bash

usermod -aG docker honey && systemctl restart honey

The package recommends tmux (recordings), shellcheck and python3-flake8 (recipe linting) — apt installs them automatically. tun2proxy (for honey egress --tun) isn't in apt; grab it from its releases if you need transparent-proxy mode.

Build from source:

bash

go build -o honey ./cmd/honey

Quick start

bash

# Interactive TUI — search all configured backends
honey search

# Filter by name substring
honey search my-host

# JSON output, AWS + Kubernetes only
honey search --json --provider aws,k8s web

Documentation

Feature	Guide
Providers (GCP, AWS, K8s, Consul, Proxmox, …)	Providers
Docker & auto-discover on cloud VMs	Docker auto-discover
Macros (honeyfile)	Macros
MCP server (Cursor, LM Studio, OpenCode)	MCP Server
Session recordings	Recordings
Web UI & AI assist	Web UI
Run the web UI in Docker (auth token)	contrib/docker/README.md
CUE recipes	CUE Recipes
Anomaly detection	Anomaly Detection
Plugin development	Plugins
Add a new backend	Add new backend

Full docs: shareed2k.github.io/honey

Credits & Licenses

This project leverages state-of-the-art research algorithms to deliver real-time, context-aware operational intelligence:

LogLSHD Algorithm (Proposed by Shu-Wei Huang et al.):
- Description: Locality-Sensitive Hashing with Sequence-Alignment Clustering used for real-time log template mining.
- License: Creative Commons Attribution 4.0 International (CC BY 4.0).
- Citations: Huang, S.W., et al. "LogLSHD: Real-Time Log Template Mining via Locality-Sensitive Hashing and Dynamic Time Warping."
LLMLog Algorithm (Proposed by Fei Teng, Haoyang Li, and Lei Chen):
- Description: Greedy set-cover adaptive demonstration selection (Algorithm 3) used for contextual few-shot prompt assembly.
- License: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0).
- Citations: Teng, F., Li, H., & Chen, L. "LLMLog: Advanced Log Template Generation via LLM-driven Multi-Round Annotation" (Proceedings of the VLDB Endowment, VLDB 2025).
CoLA Two-Tier Pre-Screening (Proposed by Tang et al.):
- Description: Model collaboration pipeline filtering obvious logs via fast prescreeners to optimize LLM performance and reduce costs.
- License: Creative Commons Attribution 4.0 International (CC BY 4.0).
- Citations: Tang, et al. "CoLA: Model Collaboration for Log-based Anomaly Detection" (Proceedings of the VLDB Endowment, VLDB 2025).

License

MIT

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Frequently Asked Questions about Honey MCP Server

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "honey-mcp-server": { "command": "npx", "args": ["-y", "Honey MCP Server"] } }

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Technical Specs & Signals

CategoryCloud Platforms

0/4 checks healthy over the last 6h

25Quality signal: Emerging · 25/100How this signal is calculated ▾

Server availabilityNot measured

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

Verified ownership8/20

Documentation & tools10/30

Adoption & activity1/15

Community engagement0/10

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More in ☁️ Cloud Platforms →Best MCP servers for Cloud Platforms →Alternatives to Honey MCP Server →Install in Claude Desktop Install in Cursor Install in VS Code

Documentation Overview

honey logo

honey

Alpha software — APIs, config schema, and CLI flags may change between releases without notice.

Prerequisites

Go 1.26.2+ (for building from source)
Credentials for each backend — see Providers

Install

Homebrew (macOS):

bash

brew install --cask shareed2k/tap/honey

Debian/Ubuntu (.deb):

bash

# grab the .deb for your arch from the latest release, then:
dpkg -i honey_*_linux_amd64.deb        # or _arm64

bash

sudoedit /etc/honey/config.yaml        # configure backends / mesh
systemctl enable --now honey
journalctl -u honey -f

For docker: steps / docker plugins, honey needs to reach the Docker socket. This is not granted on install (docker-group membership is root-equivalent) — opt in explicitly:

bash

usermod -aG docker honey && systemctl restart honey

Build from source:

bash

go build -o honey ./cmd/honey

Quick start

bash

# Interactive TUI — search all configured backends
honey search

# Filter by name substring
honey search my-host

# JSON output, AWS + Kubernetes only
honey search --json --provider aws,k8s web

Documentation

Feature	Guide
Providers (GCP, AWS, K8s, Consul, Proxmox, …)	Providers
Docker & auto-discover on cloud VMs	Docker auto-discover
Macros (honeyfile)	Macros
MCP server (Cursor, LM Studio, OpenCode)	MCP Server
Session recordings	Recordings
Web UI & AI assist	Web UI
Run the web UI in Docker (auth token)	contrib/docker/README.md
CUE recipes	CUE Recipes
Anomaly detection	Anomaly Detection
Plugin development	Plugins
Add a new backend	Add new backend

Full docs: shareed2k.github.io/honey

Credits & Licenses

This project leverages state-of-the-art research algorithms to deliver real-time, context-aware operational intelligence:

LogLSHD Algorithm (Proposed by Shu-Wei Huang et al.):
- Description: Locality-Sensitive Hashing with Sequence-Alignment Clustering used for real-time log template mining.
- License: Creative Commons Attribution 4.0 International (CC BY 4.0).
- Citations: Huang, S.W., et al. "LogLSHD: Real-Time Log Template Mining via Locality-Sensitive Hashing and Dynamic Time Warping."
LLMLog Algorithm (Proposed by Fei Teng, Haoyang Li, and Lei Chen):
- Description: Greedy set-cover adaptive demonstration selection (Algorithm 3) used for contextual few-shot prompt assembly.
- License: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0).
- Citations: Teng, F., Li, H., & Chen, L. "LLMLog: Advanced Log Template Generation via LLM-driven Multi-Round Annotation" (Proceedings of the VLDB Endowment, VLDB 2025).
CoLA Two-Tier Pre-Screening (Proposed by Tang et al.):
- Description: Model collaboration pipeline filtering obvious logs via fast prescreeners to optimize LLM performance and reduce costs.
- License: Creative Commons Attribution 4.0 International (CC BY 4.0).
- Citations: Tang, et al. "CoLA: Model Collaboration for Log-based Anomaly Detection" (Proceedings of the VLDB Endowment, VLDB 2025).

License

MIT