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Dashclaw

by ucsandmanversion 3.1.6i★ –iRuns on your computer
Registry nameio.github.ucsandman/dashclaw

Install

Overview

Description from the maker (original English)

Policy checks, approvals, records, and governed HTTP capabilities for unattended agents.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Other
  • You need to fill in: DASHCLAW_URL, DASHCLAW_API_KEY

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • You fill in yourself: DASHCLAW_URL, DASHCLAW_API_KEY, DASHCLAW_AGENT_ID

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "dashclaw": {
      "command": "npx",
      "args": [
        "-y",
        "@dashclaw/mcp-server"
      ],
      "env": {
        "DASHCLAW_URL": "your-value",
        "DASHCLAW_API_KEY": "your-value",
        "DASHCLAW_AGENT_ID": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add dashclaw --env DASHCLAW_URL=your-value --env DASHCLAW_API_KEY=your-value --env DASHCLAW_AGENT_ID=your-value -- npx -y @dashclaw/mcp-server

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "dashclaw": {
      "command": "npx",
      "args": [
        "-y",
        "@dashclaw/mcp-server"
      ],
      "env": {
        "DASHCLAW_URL": "your-value",
        "DASHCLAW_API_KEY": "your-value",
        "DASHCLAW_AGENT_ID": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "dashclaw": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@dashclaw/mcp-server"
      ],
      "env": {
        "DASHCLAW_URL": "your-value",
        "DASHCLAW_API_KEY": "your-value",
        "DASHCLAW_AGENT_ID": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

  • DASHCLAW_URL required env
    Base URL of your DashClaw instance (e.g. https://your-app.vercel.app)
  • DASHCLAW_API_KEY secret required env
    DashClaw workspace API key (oc_live_...)
  • DASHCLAW_AGENT_ID env
    Optional agent identifier used to attribute governed actions

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account ucsandman, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

  • More stars than 0% of the other 32537 servers in this category
  • Published to the registry more recently than 33% of the other 32537 servers in this category
  • Basic checks equal to or better than 100% of the other 32537 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Dashclaw safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: DASHCLAW_URL, DASHCLAW_API_KEY

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (3.1.6) reached the registry 2 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, TF Rooms

Alternatives

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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

@dashclaw/mcp-server

MCP server for DashClaw governance. Exposes 17 governance tools, 2 stdio-only support tools, and 3 read-only resources over Model Context Protocol: evaluate policy, record evidence, invoke registered capabilities, wait for approvals, and read the decision ledger. Works with Claude Code, Claude Desktop, Claude Managed Agents, and any MCP-compatible client.

The governance tools register only when DASHCLAW_URL and DASHCLAW_API_KEY are both set; without them the server registers nothing and warns on stderr if exactly one is present.

Quick Start

Claude Code / Cowork (stdio)
npx -y @dashclaw/mcp-server --url https://your-dashclaw.vercel.app --key oc_live_xxx --agent-id claude-code

Or add to your MCP config (.mcp.json for Claude Code, or claude mcp add):

{

"mcpServers": { "dashclaw": { "command": "npx", "args": ["-y", "@dashclaw/mcp-server"], "env": { "DASHCLAW_URL": "https://your-dashclaw.vercel.app", "DASHCLAW_API_KEY": "oc_live_xxx", "DASHCLAW_AGENT_ID": "claude-code" } } } }

Claude Desktop main chat: do not use stdio. Desktop runs local MCP servers

on its bundled Node, which crashes this server. Use the

OAuth custom connector instead — no

local process, works in chat and Cowork.

About `DASHCLAW_AGENT_ID`: this is the name that shows up on /fleet, /decisions, and every other governance surface. If you omit it, the server auto-derives an agent_id from the MCP protocol's clientInfo.name (e.g. claude-ai for Claude Desktop, cursor-vscode for Cursor) so calls don't silently commingle with other agents — but a human-friendly name like claude-desktop is what you actually want for dashboard readability. Explicit configuration always wins over auto-derivation.

Claude Managed Agents (Streamable HTTP)

If you're running DashClaw, the MCP endpoint is built in at /api/mcp:

agent = client.beta.agents.create(

name="Governed Agent", model="claude-sonnet-4-6", tools=[{"type": "agent_toolset_20260401"}], mcp_servers=[{ "type": "url", "url": "https://your-dashclaw.vercel.app/api/mcp", "headers": {"x-api-key": "oc_live_xxx"}, "name": "dashclaw" }], )

Claude Desktop

Use the OAuth custom connector (next section) — it is the verified path for Desktop chat, web, and Cowork, and needs no install. The old one-click .mcpb bundle is retired: it ran the stdio server on Desktop's bundled Node, which crash-loops. If you still have a dashclaw extension installed from it, uninstall it (Settings → Extensions) before adding the connector.

Claude custom connector (remote, OAuth)

Self-hosted DashClaw is addable as a Claude custom connector with no API key in the UI — Claude's connector flow requires OAuth, not headers:

  1. In Claude: Settings → Connectors → Add custom connector.
  2. Paste https:// /api/mcp.
  3. Claude discovers /.well-known/oauth-protected-resource, registers via DCR, and opens your DashClaw login + a consent screen.
  4. Authorize → the 17 governance tools appear, scoped to your workspace.

Works on Free/Pro/Max/Team/Enterprise (Free is capped at one custom connector). The legacy x-api-key path (Managed Agents) is unchanged.

Plugin (skills) via marketplace

To also load the DashClaw skills (governance protocol + platform intelligence) in the Claude app: Customize → Plugins → "+" → Add marketplace → github: ucsandman/DashClaw, then install the dashclaw plugin.

Tools (17 governance + 2 stdio support)

Grouped by domain. See src/tools.ts for the canonical definitions.

Core governance (9) — the guard / record / invoke loop plus discovery and session lifecycle.

ToolDescription
dashclaw_guardEvaluate policies before risky actions
dashclaw_recordLog actions to audit trail
dashclaw_invokeExecute a registered capability through the server's guard, approval, execution-claim, effect, and outcome seam
dashclaw_capabilities_listDiscover available APIs
dashclaw_policies_listSee active governance policies
dashclaw_wait_for_approvalBlock until a human resolves an approval
dashclaw_session_startRegister agent session
dashclaw_session_endClose agent session
dashclaw_session_retroRead the session's own defensibility retro (clean/review/flagged posture)

Session linkage: after dashclaw_session_start, the server auto-stamps that session's id onto every dashclaw_record in the same connection (stdio). Pass session_id on dashclaw_record to override, or to attribute explicitly on the HTTP transport (POST /api/mcp), where each request is stateless.

Enforcement boundary

dashclaw_guard, dashclaw_record, and dashclaw_wait_for_approval are cooperative tools. They return policy and audit state, but the MCP host or model still chooses whether to honor it. Use a host interception hook when you need a mechanical gate around ordinary MCP tools.

dashclaw_invoke is the bounded effect seam. DashClaw holds the registered capability configuration, evaluates the exact invocation against current policy, records it, enforces approval, and atomically claims one execution attempt before making the external call. Approval and plan grants are consumed at that claim, not by the earlier guard evaluation. If execution finishes but the outcome cannot be recorded, the tool reports unknown execution state and does not describe a retry as safe. Reconcile the external system first.

Retrospection (2) — record assumptions; recent governed-action ledger.

ToolDescription
dashclaw_assumption_recordRecord an unverified assumption underpinning an action
dashclaw_decisions_recentRecent governed-action ledger

Agent identity (1) — operator-approved pairing of an unidentified agent to a registered identity.

ToolDescription
dashclaw_pairEnroll agent identity: keypair locally, public key to /api/pairings

Team Tasks (3) — create a Team Task, append an inter-agent timeline event, update task status.

ToolDescription
dashclaw_task_createCreate a Team Task — one record per multi-agent /team run
dashclaw_task_eventAppend one event to a Team Task timeline (delegation, reply, status, approval_needed, result, error, done)
dashclaw_task_updateUpdate a Team Task: status transitions and stored transport session ids

Plans (2) — submit a preflight plan for one-card operator review and poll its review state. Preview and review responses are evidence; the live action is re-evaluated and any grant is consumed only by its execution claim.

ToolDescription
dashclaw_plan_submitSubmit an ordered step list for preflight review; approved steps become scoped, expiring grants consumed only by an execution claim
dashclaw_plan_statusCheck a submitted plan's overall and per-step verdict
DashClaw-gated stdio tools (2)

Registered by src/tools/index.ts on the local stdio server only, gated on the same DASHCLAW_URL + DASHCLAW_API_KEY credentials as the governance set:

ToolDescription
dashclaw_statusCheck DashClaw gate configuration and reachability
export_dashclaw_evidenceExport local audit entries carrying DashClaw guard/evidence metadata

Resources (3)

URIDescription
dashclaw://policiesActive policy set
dashclaw://agent/{agent_id}/historyRecent action history (last 50)
dashclaw://statusInstance health + operational metrics

Configuration

Set these in your MCP client's env block (preferred — scoped to the server process, invisible to your terminals) or your shell. The annotated template lives in .env.example.

CLI ArgEnv VarDefaultDescription
--urlDASHCLAW_URLhttp://localhost:3000DashClaw instance URL — with DASHCLAW_API_KEY, enables the governance tool set
--keyDASHCLAW_API_KEY(empty)API key (oc_live_ prefix)
--agent-idDASHCLAW_AGENT_ID(empty)Default agent ID (auto-derived from MCP clientInfo.name when empty)
DASHCLAW_MODEauthoritativeDashClaw gate mode (only authoritative is supported)
DASHCLAW_LOCAL_HOME /.dashclaw-localWhere local state lives (see Storage below)
DASHCLAW_TIMEOUT_MS30000DashClaw API request timeout
DASHCLAW_LOCK_STALE_MS30000Stale file-lock threshold for local state files
DASHCLAW_AUDIT_MAX_ENTRIES(unlimited)Cap retained audit entries

CLI args take precedence over environment variables.

Note: This server reads DASHCLAW_URL (not DASHCLAW_BASE_URL); the hooks and CLI in the DashClaw repo read DASHCLAW_BASE_URL.

Storage

Local-first state under `.dashclaw-local/` in the working directory (override with DASHCLAW_LOCAL_HOME). Plain JSON — human-readable, diffable, zero native dependencies:

FileHolds
state.jsonThe local default workspace
audit.logAppend-only JSONL audit trail read by the DashClaw evidence tools

Secrets are never written here — tokens stay in the environment, read at call time.

License

Apache-2.0. This package incorporates code from an upstream Apache-2.0 project — see NOTICE for the attribution.

Releasing

After bumping version in mcp-server/package.json, run from the repo root:

npm run release:mcp

One command does everything, and re-running is always safe (already-published steps are skipped):

  1. Syncs server.json versions to package.json (commit the change if it edits the file).
  2. Publishes to npm — your browser opens for the security-key 2FA prompt.
  3. Publishes to the official MCP Registry via mcp-publisher — if the saved GitHub token expired, it re-runs the device-flow login (enter the printed code at github.com/login/device) and retries.

Prereqs (one-time): npm login, and the official mcp-publisher binary from modelcontextprotocol/registry releases — never npm i -g mcp-publisher, that name is squatted by an unrelated package.

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