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Tofu

MCP server · hosted · v1.0.58 · ai.trytofu/tofu
Reachable · key or sign-in requiredNEW · 1h agoSeen in the registry 5m ago

Deploy an app and keep it running: status, logs, versions, domains, databases and sign-in.

Website ↗How to connect ↓

What it does

Tofu is an MCP server, a connector that lets an AI assistant use it as a tool. It is hosted: an assistant connects to it over the internet, nothing to install.

From the publisher's description, Electra Index matched it to 2 capabilities: devops automation and sql querying. That makes it a candidate for tasks such as query databases in plain language or automate CI/CD pipelines.

Facts come from the Official MCP Registry, as declared by the publisher. Capabilities are matched automatically (low confidence). None of this is a test of the tool.

At a glance

Hosted (remote)YES
Local installNO
Version1.0.58
PriceNot in the registry
First seen29 Oct 2026
Last checked5m ago

How to connect

As declared in the Official MCP Registry · not tested by Electra Index

Hosted endpoint

  • https://app.trytofu.ai/mcp streamable-http

In Claude Code: claude mcp add --transport http tofu https://app.trytofu.ai/mcp

MCP settings (Claude Desktop, Cursor and other MCP clients)

{
  "mcpServers": {
    "tofu": {
      "url": "https://app.trytofu.ai/mcp"
    }
  }
}

Live check

Electra Index connected to the hosted endpoint 14m ago

REACHABLE The endpoint answered but asks for an API key or a sign-in before connecting. Electra Index never sends credentials, so the tool list is not visible here.

What "online" means: the server answered an MCP connection at the time of the check. It is not a guarantee of security, quality or continuous uptime. How we test: we open an MCP session and ask for the tool list, as an AI assistant would. We never run a tool and never send a key. Checked every few days. Method

Is this your server? Monitoring Pro: a check every 30 minutes and an email within the hour when it stops answering. Launch offer: $39.99 once, for life.

Tasks it helps with

Share of each task's required capabilities it covers
Query databases in plain language
SQL Querying
50%
Automate CI/CD pipelines
DevOps Automation
50%
Build data pipelines
SQL Querying
33%
Monitor production incidents
DevOps Automation
33%

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  • WaveHouse CloudREMOTELOCAL
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Ready-made AI agents

An MCP server is a connector you add to your own assistant. These are finished products that do the same job for you:
All AI agents to query databases in plain language, ranked →

Facts & evidence

Each fact shows where it was seen and when.
FactValueEvidenceSourceLast confirmed
Hosted endpointhttps://app.trytofu.ai/mcpDECLAREDSRC-001 Official MCP Registry5m ago
Local install (package)noDECLAREDSRC-001 Official MCP Registry5m ago
Remote access (hosted)yesDECLAREDSRC-001 Official MCP Registry5m ago
Websitehttps://trytofu.ai/docs/agentDECLAREDSRC-001 Official MCP Registry5m ago
Registry statusactiveDECLAREDSRC-001 Official MCP Registry5m ago
Version1.0.58DECLAREDSRC-001 Official MCP Registry5m ago
MCP serveryesDECLAREDSRC-001 Official MCP Registry5m ago

Change history

  • NEW29 Oct 2026
    first seen in the index

Is this page accurate?

Flag it and our robot re-checks the official source. Reports never change a score.

Do you run Tofu? Know when it stops answering

For publishers · optional

Its hosted endpoint can be monitored. Monitoring Pro connects every 30 minutes like an AI assistant, emails you within the hour when it stops answering, keeps a 90-day availability history and adds your answer rate to your badge.

Monitor TofuLaunch offer $39.99 once, for life instead of $9.99/month · All plans

Monitoring never changes a score or a rank.

Are you the publisher of Tofu?

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Questions about Tofu

How do I connect Tofu?

Use the hosted endpoint https://app.trytofu.ai/mcp in your assistant's MCP settings. The exact settings are in "How to connect" above, as declared in the Official MCP Registry.

What can I use Tofu for?

Based on its description, it is most relevant to: query databases in plain language, automate CI/CD pipelines, build data pipelines, monitor production incidents.