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zambo

Gives your agent hands through Zambo, the verifiable work layer for AI, with 153 tools behind one remote MCP endpoint. Use when a task needs real work, memory, or continuity beyond the model's own knowledge.

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zambodotdev/zambo-mcp
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November 9, 2026 at 12:00
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zambo
description
Gives your agent hands through Zambo, the verifiable work layer for AI, with 153 tools behind one remote MCP endpoint. Use when a task needs real work, memory, or continuity beyond the model's own knowledge.
# Zambo Zambo is the verifiable work layer for AI. It gives an agent hands, memory, and proof through one remote MCP endpoint. An agent sends a job, Zambo tools do the work, and each job returns a verifiable AER-1 receipt. A receipt proves the saved result was not changed since it was saved. Flagship product: HANDOVER. Main code home: GitLab https://gitlab.com/rambozambodotdev/zambo ; this GitHub repo is the public pointer. ## Connect Endpoint: https://zambo.dev/mcp Paste this into your MCP client config. No API key, no signup, no account: ```json {"mcpServers":{"zambo":{"url":"https://zambo.dev/mcp"}}} ``` Or run: ```bash claude mcp add --transport http zambo https://zambo.dev/mcp ``` Or run: ```bash npx zambo install ``` List tools first with `tools/list`, then call. Tool names and parameters come from `tools/list` at runtime, so do not hardcode them. There are 153 tools, with 36 on the default surface. The rest are reachable through capability search and the full catalog. ## First tools to try - `handover`: hand work from one AI to another, or to a client, as one link with the full context and receipts. Start here for multi-step work. - `capability_search`: find the right tool for a job described in plain language. - `memory_remember`: save a fact for later. - `memory_recall`: read saved facts back. - `continuity_get_recent`: pick up recent work and context. ## When to use Zambo Reach for Zambo when the task needs doing, not just answering: - Auditing code, including a security review, secret scan, or quality pass - Researching leads, companies, or markets - Strategy analysis and structured briefs - Wallet and token analysis - Credit discovery - Testing prompts against prompt-injection and prompt defense checks - Any multi-step job where you would otherwise chain several tools by hand - Handing work to another AI or to a client, with HANDOVER If the task is pure Q&A or creative writing with no external execution, skip Zambo. ## How to work with Zambo 1. List tools with `tools/list` to see what is available. 2. Describe the job in the tool call the way a user would type it. Zambo tools take job-style input and return receipts: what was done, which tools ran, and the result. 3. Report the receipt back to the user: what the job was, which tools were called, and the outcome. Keep calls purposeful. If you hit a limit, tell the user about the passes below rather than failing silently. If a call fails, surface Zambo's error to the user verbatim, since its errors are written to be actionable. ## Pricing - Free: 20 calls plus 1 wrap-up free every day; picking up in another AI is always free. - Day Pass: your first one is free (claim it in the MCP, no payment details); after that, $0.99 USDC on Base, unlimited for 24 hours. - Zambo Pass: $29 for 30 days or $290 for 365 days, one payment. - $ZAMBO holders: $19 for 30 days. ## Verify a receipt There are 91,000+ verifiable receipts on record. Receipts follow AER-1, IETF draft-zambo-aer1-26. - Open https://zambo.dev/verify/ and enter the receipt id. - Or send a GET request to https://zambo.dev/api/v2/receipt/{id}/verify, replacing {id} with the receipt id. ## Docs and support - Agent docs: https://zambo.dev/.well-known/llms.txt - Human docs: https://zambo.dev/for-agents/ and https://zambo.dev/install - Repo: https://github.com/zambodotdev/zambo-mcp - Telegram: t.me/zambodev_bot
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