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hanzo-mcp 1.1.32 for Windows: zapd 1.1.9 and a native host on the router's pipe
zapd 1.1.9 runs the router on Windows (a named pipe, LockFileEx). The
browser's native host follows it there: the host binary is a hard link
hanzo-zap-host.exe, each installed browser is pointed at its manifest
through its NativeMessagingHosts registry key, and the relay opens the
router's pipe only when its server is the router lock holder. The
release builds windows-amd64 again, cross-linked by Zig like the rest.

Claude-Session: https://claude.ai/code/session_01M8RoubcPN71KgJuZ8LdBUL
2026-10-15 05:11:21 -07:00
2026-09-08 23:53:37 -07:00
2026-09-01 09:42:54 -07:00
2026-02-14 05:26:48 -08:00
2026-09-01 09:42:54 -07:00

Hanzo MCP

@hanzo/mcp

An MCP server for coding agents: files, shell, code, git, HTTP, project context and UI components, plus tools that call the Hanzo API. It speaks MCP over stdio, or over streamable HTTP with --transport http.

npm

Register it with an agent

The package declares Node 18 or newer. For Claude Code:

claude mcp add hanzo -- npx -y @hanzo/mcp serve

npx -y @hanzo/mcp install --claude-code runs that command with --scope user, which registers the server for every project.

claude mcp list then reports hanzo: npx -y @hanzo/mcp serve - ✔ Connected. With --scope project the entry goes into the project's .mcp.json instead, and Claude Code asks before it starts a server from that file. Other MCP clients take the same command in their server config:

{
  "mcpServers": {
    "hanzo": {
      "command": "npx",
      "args": ["-y", "@hanzo/mcp", "serve"]
    }
  }
}

The first start downloads the package; with an empty npm cache that took 80 to 100 seconds.

Tools

serve with no flags offers these, in the groups src/tools/unified/index.ts defines:

group tools
core fs, exec, code, git, fetch, workspace, ui
optional think, memory, hanzo, plan, tasks, mode, gimp
code intelligence code_search, code_context, code_ask, code_index
tracker tracker_boards, tracker_issues, tracker_create, tracker_update
kai kai_decide, kai_choice, kai_score, kai_noul, kai_tool_select, kai_next_action, kai_command_guard, kai_injection_screen, kai_extract, kai_log_triage, kai_recover, kai_agent_step

The core and optional tools take an action argument that picks the operation; ui takes method. The code intelligence, tracker and kai tools call https://api.hanzo.ai with the key in HANZO_API_KEY, or a local Kai instance via LOCAL_KAI_URL (a local kai serve, e.g. http://127.0.0.1:8080).

The kai tools ask Kai, Hanzo's decision model, typed questions about a case (POST /v1/decisions) and answer with calibrated probabilities: kai_choice picks a label, kai_score an ordinal level, kai_noul the probability that a statement holds, and kai_decide asks up to 100 of them in one call.

Beside the decision primitives: kai_injection_screen (rules and Kai's planted capability, kai-1.3), kai_command_guard (allow, ask or deny before a command runs), kai_tool_select (named tool, then BM25), kai_log_triage (failure signatures), kai_recover (loop breaker and a step for each failure class), kai_next_action (precondition filter, then BM25) and kai_extract (typed fields, abstaining near uniform). Only the screen, kai_extract and kai_decide call Kai; the others decide by rules because kai-1.2 measured at or near chance there. The cookbook has the held-out reads and fifteen runnable recipes. instructions is optional on every question and recommended. A kai_choice call:

{ "state": "I was charged twice for my March invoice. Please refund the duplicate.",
  "instructions": "Which team should handle this ticket?",
  "criteria": { "billing": "charges, invoices and refunds", "product": "how to use the product" } }

hanzo reaches every Hanzo Cloud subsystem: resource names one, action one of its operations, args that operation's arguments. With no action it lists the resource's operations, and resource: "describe" with args: {subsystem, op} says what one takes. The list is generated from cloud's catalog.

{ "resource": "graph", "action": "graphResolve",
  "args": { "entity": "acme/svc/api", "relation": "owner", "as_of": "2026-09-01T00:00:00Z" } }

Flags on serve change the set:

flag effect
--disable-tools plan,tasks removes the named tools
--core-only only the core group
--enable-ui adds the ui_* component tools
--enable-desktop adds hanzo_desktop and playwright_control
--enable-autogui, --enable-orchestration, --enable-ui-registry, --enable-github-ui, --enable-community-cryptuon add those tool sets
--full-surface adds the UI, AutoGUI, orchestration, UI registry and GitHub UI sets together

npx -y @hanzo/mcp serve --help lists every flag. This prints the tool names a server offers; put any flags after serve:

printf '%s\n' \
  '{"jsonrpc":"2.0","id":1,"method":"initialize","params":{"protocolVersion":"2025-06-18","capabilities":{},"clientInfo":{"name":"t","version":"1"}}}' \
  '{"jsonrpc":"2.0","method":"notifications/initialized"}' \
  '{"jsonrpc":"2.0","id":2,"method":"tools/list"}' \
| npx -y @hanzo/mcp serve 2>/dev/null \
| node -e 'let s="";process.stdin.on("data",d=>s+=d).on("end",()=>{for(const l of s.split("\n"))if(l.includes("\"id\":2"))console.log(JSON.parse(l).result.tools.map(t=>t.name).join(" "))})'

Over HTTP

npx -y @hanzo/mcp serve --transport http --port 3000

The endpoint is the root path, http://127.0.0.1:3000/. POST JSON-RPC to it with Accept: application/json, text/event-stream; answers come back as server-sent events.

When a client shows no tools

Start the server by hand. A working one answers initialize with its name and version:

echo '{"jsonrpc":"2.0","id":1,"method":"initialize","params":{"protocolVersion":"2025-06-18","capabilities":{},"clientInfo":{"name":"t","version":"1"}}}' \
  | npx -y @hanzo/mcp serve

With HANZO_MCP_DEBUG=1 in the server's environment, stderr also shows its working directory, the resolved binary, its arguments and the start of PATH.

Python

hanzo-mcp on PyPI is a separate server, built from hanzoai/python-sdk.

Development

pnpm install
pnpm build
pnpm smoke    # runs dist/cli.js over stdio: initialize, tools/call, resources

License

MIT

S
Description
Model Context Protocol server with 260+ tools for AI agents
Readme MIT
435 MiB
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