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Helmdeck

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.
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38 capability packs (browser, desktop, vision, repo, fs, slides, podcast) for MCP agents.

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
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": {
    "helmdeck": {
      "command": "npx",
      "args": [
        "-y",
        "helmdeck"
      ]
    }
  }
}

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

helmdeck

Today's helmdeck install ran a full 6-step code-edit loop (clone, read, patch, test, commit, push) on gpt-oss-120b for $0.07. The same loop on Cursor or Claude Code direct via Sonnet would have cost $0.30+. Same outcome, ~5Γ— cheaper β€” and the "expensive" stack isn't even the most expensive option.

WorkflowFrontier-model approachHelmdeck (gpt-oss-120b)
Browser scrape + GitHub comment$0.25 (Anthropic Computer Use)$0.005
Code edit loop (6 steps)$0.35 (Cursor / Aider)$0.07
Multi-step browser test$0.20 (Browser-use NL)$0.03
PDF β†’ structured Markdown$1.00 (naive Sonnet vision)$0.003

Most browser agents require GPT-4o or Claude Sonnet to work reliably. Helmdeck is built for the other 99% of deployments β€” local 7B models, air-gapped environments, and teams that can't send credentials to a cloud API. It wraps every browser, desktop, git, and code action into a single typed JSON call that even a small model can fill in correctly. The numbers above are the consequence: when packs absorb the work the LLM would otherwise burn tokens rediscovering, cheap or local models do agentic work that frontier-model APIs charge 10Γ— more for.

A self-hosted, containerized platform for AI agents, exposed as Capability Packs β€” schema-validated, one-shot JSON tools β€” and native MCP. The defining metric is β‰₯90% pack success on 7B–30B-class open-weight models, something no frontier-targeting competitor is optimizing for.

πŸ“Š Full per-task comparison with reproduction recipe at https://helmdeck.dev/explanation/why-helmdeck. These are one maintainer's findings; we welcome community reproductions.

Why this exists

Smart models thrive on bash and a README. Weak models stall on open-ended interfaces. Helmdeck closes that gap by hiding browser sessions, desktop actions, credentials, and multi-step workflows behind single typed REST / MCP calls.

Three audiences specifically:

  • Self-hosted AI teams who can't leave their VPC and need MCP-native infra that doesn't phone home.
  • The LocalLLaMA / Ollama crowd running 7B–30B models β€” pack contracts keep small models reliable where open-ended tool surfaces fail.
  • Security-sensitive orgs who need agents to log into SaaS apps without the model ever seeing a credential (vault-backed placeholder tokens + MCP-level audit).

Status

v0.22.0 shipped β€” agents that work on free models, with memory. The release closes ADRs 047–050:

  • Pipeline routing + routing memory (ADR 047) β€” the helmdeck.route meta-pack recommends the best pack/pipeline for an intent (with structured gap warnings when nothing fits), backed by per-caller learned defaults surfaced through the helmdeck://routing-guide and helmdeck://my-defaults MCP resources and a Routing Memory management UI.
  • Memory write surface + OpenClaw bridge (ADR 048) β€” helmdeck.memory_store persists durable user facts (read back via helmdeck://my-memory), an optional embedding sidecar powers OpenClaw's memory_search, and a QMD corpus bridge exposes helmdeck memory to OpenClaw.
  • Intent decomposition (ADR 049) β€” helmdeck.plan turns a multi-action prompt into an ordered, pipeline-aware step plan plus a rewritten_prompt.
  • LLM context manager (ADR 050) β€” internal/llmcontext compacts catalog-heavy prompts to fit small-model context budgets (tiered per-model budgets, cascading select + lexical rank, optional two-pass filter), surfaced through helmdeck://context-budgets and helmdeck://my-plans.

57 capability packs ship in the control-plane binary (47 without an AI gateway configured), alongside 21 built-in pipelines, a community pack marketplace (helmdeck pack install <name>), and operator-supplied cmd.* subprocess packs. Earlier headline features remain: end-to-end content chaining (image.generate auto-feeds podcast/slides/blog covers), the helmdeck://image-models MCP resource, image-mode install (./scripts/install.sh --image-mode), and the Pack Test Runner UI. Helmdeck is published to the official MCP Registry as io.github.tosin2013/helmdeck for one-line install in registry-aware clients. Phases 1–6.5 are complete; the current milestone is v1.0 β€” Kubernetes & GA (Phase 7), with backlog materialised as GitHub issues tagged good first issue and help wanted.

  • 49 ADRs in docs/adrs/ β€” every architectural decision with PRD back-references
  • Task breakdown in docs/TASKS.md β€” ~85 tasks across 8 phases with critical path
  • GitHub milestones in docs/MILESTONES.md β€” drop-in issue checklists with current ship state
  • Pack reference in docs/PACKS.md β€” every shipped pack's input/output contract

Quick start

sh
git clone https://github.com/tosin2013/helmdeck
cd helmdeck
./scripts/install.sh

That's it. The script runs preflight checks (docker, node β‰₯20, go β‰₯1.26, make, openssl, curl) with platform-aware install hints, generates fresh secrets into deploy/compose/.env.local (chmod 600), builds the Management UI bundle, the Go binaries, and the browser sidecar image, brings the Compose stack up, and prints the URL plus a freshly generated admin password.

text
βœ“ helmdeck is up

  URL:       http://localhost:3000
  Username:  admin
  Password:  <generated; printed once β€” save it now>

Useful flags:

  • ./scripts/install.sh --reset β€” tear down, regenerate secrets, reinstall (new admin password)
  • ./scripts/install.sh --no-build β€” skip build steps, just bring the stack up
  • ./scripts/install.sh --help β€” full flag reference

Or via make: make install.

Connect a client

A running stack is just the platform β€” the value is packs called by an agent. Wire one of the supported MCP clients to your fresh install:

ClientStatusSetup guide
OpenClawβœ… validated end-to-enddocs/integrations/openclaw.md
Claude Code🟑 documenteddocs/integrations/claude-code.md
Claude Desktop🟑 documenteddocs/integrations/claude-desktop.md
Gemini CLI🟑 documenteddocs/integrations/gemini-cli.md
Hermes Agent🟑 documenteddocs/integrations/hermes-agent.md

Once a client is connected, work through the pack-demo-playbook.md β€” 20+ copy-pasteable prompts that exercise every pack. The per-pack reference covers each pack's contract, error codes, and chained workflows.

Advanced: manual setup

If you'd rather drive each step yourself instead of running the install script:

sh
# 1. Build the Management UI bundle (needs Node 20+)
make web-deps && make web-build

# 2. Build the control-plane binary with the UI embedded
make build

# 3. Run the control plane with admin credentials
HELMDECK_JWT_SECRET=$(openssl rand -hex 32) \
HELMDECK_VAULT_KEY=$(openssl rand -hex 32) \
HELMDECK_ADMIN_PASSWORD=changeme \
./bin/control-plane

Or use the Compose stack directly (control plane + Garage object store + bundled init):

sh
cp deploy/compose/.env.example deploy/compose/.env.local
# …edit deploy/compose/.env.local and fill in real secrets…
docker compose -f deploy/compose/compose.yaml --env-file deploy/compose/.env.local up -d

Logging in to the Management UI

The login endpoint accepts a static admin password set via the HELMDECK_ADMIN_PASSWORD env var on the control plane process. Suitable for the dev / single-node Compose tier; OIDC SSO for production deployments lands in a later phase.

SettingDefaultOverride
UsernameadminHELMDECK_ADMIN_USERNAME env var
Password(none β€” UI login disabled)HELMDECK_ADMIN_PASSWORD env var (required)
Session length12 hoursHardcoded in internal/api/auth_login.go

To change the password: stop the control plane, set HELMDECK_ADMIN_PASSWORD to the new value, and restart. There is no in-UI "change password" flow today β€” the password is managed out-of-band by whichever orchestrator runs the control plane (Compose, systemd, Kubernetes Secret, etc.).

If HELMDECK_ADMIN_PASSWORD is unset, the login endpoint returns 503 login_disabled. The control plane still runs and the API still works β€” operators can mint a JWT directly via the CLI:

sh
./bin/control-plane -mint-token=alice -mint-token-scopes=admin -mint-token-ttl=12h

The minted token can be pasted into any tool that speaks Authorization: Bearer <token>.

Production note: the static-password path uses constant-time comparison so it's safe against timing attacks, but it's still a shared secret that has to be rotated by hand. For production deployments with multiple operators, OIDC SSO via your existing identity provider is the right answer β€” see the Phase 6 follow-up roadmap.

Architecture at a glance

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

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Reviews

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Frequently Asked Questions about Helmdeck

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "helmdeck": { "command": "npx", "args": ["-y", "Helmdeck"] } }

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Technical Specs & Signals

CategoryπŸ’»Developer Tools
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimeNode.js
Last updatedSep 7, 2026
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27Quality signal: Emerging Β· 27/100How 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 ownership8/20
Documentation & tools11/30
Adoption & activity1/15
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.

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