List your agent

metzia

MCP server · hosted · v0.13.0 · ai.metzia/metzia
Reachable · key or sign-in requiredNEW · 4h agoSeen in the registry 3h ago

Compare managed Postgres, auth, monitoring, and hosting, then purchase without leaving the session.

Website ↗How to connect ↓

What it does

metzia 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 one capability: sql querying. That makes it a candidate for tasks such as query databases in plain language or build data pipelines.

Facts come from the Official MCP Registry, as declared by the publisher. Capabilities are matched automatically (low confidence) and are not a test of the tool.

At a glance

Hosted (remote)YES
Local installNO
Version0.13.0
PriceNot in the registry
First seen21 Oct 2026
Last checked3h ago

How to connect

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

Hosted endpoint

  • https://metzia.ai/api/mcp streamable-http

In Claude Code: claude mcp add --transport http metzia https://metzia.ai/api/mcp

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

{
  "mcpServers": {
    "metzia": {
      "url": "https://metzia.ai/api/mcp"
    }
  }
}

Live check

Electra Index connected to the hosted endpoint 2h 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

Tasks it helps with

Share of each task's required capabilities it covers
Query databases in plain language
SQL Querying
50%
Build data pipelines
SQL Querying
33%

Similar tools

Listed for the same task: query databases in plain language
  • metabase-ai-assistantREMOTELOCAL
    MCP Server for Metabase - 111 tools for SQL generation, dashboards & PostgreSQL
  • Anomaly AIREMOTELOCAL
    AI data analyst: ask about your Excel, CSV, GA4 or database data and get charts and dashboards back
  • Tableau Workbook AuditorREMOTELOCAL
    Local-only Tableau .twbx audit: lineage, unused fields, duplicate calcs, SQL, version diffs
  • HotelinkREMOTELOCAL
    Read-only hotel data (OAuth). Guide: https://mcp.hotelink.ai/llms.txt. Verify with list_datasets
  • Vitrus analyticsREMOTELOCAL
    Read-only analytics for all your apps: users, AI traffic, revenue, with the SQL behind every number
  • Honeyfield Marketing MCPREMOTELOCAL
    Google Ads, GA4, Search Console, Meta, LinkedIn and more for agencies, via one hosted MCP

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:

Facts & evidence

Each fact shows where it was seen and when.
FactValueEvidenceSourceLast confirmed
Hosted endpointhttps://metzia.ai/api/mcpDECLAREDSRC-001 Official MCP Registry3h ago
Local install (package)noDECLAREDSRC-001 Official MCP Registry3h ago
Remote access (hosted)yesDECLAREDSRC-001 Official MCP Registry3h ago
Websitehttps://metzia.aiDECLAREDSRC-001 Official MCP Registry3h ago
Registry statusactiveDECLAREDSRC-001 Official MCP Registry3h ago
Version0.13.0DECLAREDSRC-001 Official MCP Registry3h ago
MCP serveryesDECLAREDSRC-001 Official MCP Registry3h ago

Change history

  • NEW21 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.

Questions about metzia

How do I connect metzia?

Use the hosted endpoint https://metzia.ai/api/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 metzia for?

Based on its description, it is most relevant to: query databases in plain language, build data pipelines.