Microquery MCP

Name: Microquery MCP
Author: microqueryhq

by microqueryhqversion 1.0.3i★ –iRuns on your computer

Registry nameio.github.microqueryhq/microquery-mcp

Install

Overview

Description from the maker (original English)

SQL over real-world data — FDA, SEC, blockchain, genomics, CVEs, and more. No config.

PopNx MCP’s three pillars

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

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

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: Databases & datasets

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).
The registry lists no key to fill in.

You need

PyPIPython’s uv installed (for the uvx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

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": {
    "microquery": {
      "command": "uvx",
      "args": [
        "microquery-mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add microquery -- uvx microquery-mcp

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "microquery": {
      "command": "uvx",
      "args": [
        "microquery-mcp"
      ]
    }
  }
}

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": {
    "microquery": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "microquery-mcp"
      ]
    }
  }
}

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.

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 6, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account microqueryhq, 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 Databases & datasetsi

More stars than 0% of the other 953 servers in this category
Published to the registry more recently than 10% of the other 953 servers in this category
Basic checks equal to or better than 100% of the other 953 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 Microquery MCP 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?

The registry does not list a required key, though some servers ask you to sign in on first use.

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 (1.0.3) reached the registry 6 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: Supabase, MongoDB MCP Server, Elasticsearch MCP Server

Alternatives

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Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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by supabase

Supabase’s official server lets AI create tables, query data and review project settings in your Supabase database.

Computer or cloud★ 2,993Apache-2.0Updated yesterday

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Elasticsearch MCP Server

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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.

microquery-mcp

MCP server for Microquery — ask research questions about real-world data and get actual database records back. Works in Claude Desktop, Cursor, or any MCP-compatible AI host. Claude handles the SQL; you just ask the question.

No wallet required. Auto-registers on first query and runs on $0.10 trial credit (~1,600 typical queries).

Prerequisites

Python 3.9+
No third-party packages — stdlib only

Installation

Claude Desktop (recommended)

The easiest paths, in order of friction:

1. Registry install Find microquery in the Claude Desktop MCP marketplace or on smithery.ai and click Install. No config editing needed.

2. `uvx` install Add one entry to ~/Library/Application Support/Claude/claude_desktop_config.json (Mac) or %APPDATA%\Claude\claude_desktop_config.json (Windows):

"mcpServers": { "microquery": { "command": "uvx", "args": ["microquery-mcp"] } } }

uvx requires uv to be installed separately (astral.sh/uv). Once installed, Claude Desktop will pick it up automatically.

3. Manual install *(developers)* Download microquery_mcp.py from this repo and point your host at it:

"mcpServers": { "microquery": { "command": "python3", "args": ["/path/to/microquery_mcp.py"] } } }

Restart Claude Desktop after editing. The server appears in Settings → Developer with a green dot when connected.

Other MCP hosts (Cursor, etc.)

Use the same command / args pattern above. Consult your host's MCP documentation for the exact config format.

Tools

Tool	Description
`query(database, sql)`	Run SQL against a microquery dataset. Auto-registers on first call.
`authenticate(name, wallet_addr?)`	Manually register or link a wallet address.
`list_databases()`	Show all available datasets and field schemas.
`get_quickstart()`	Sneller SQL notes and multi-dataset example recipes.

How it works

On the first query() call the server registers an account using your OS username (getpass.getuser()) via POST /v1/register and stores the API key in ~/.microquery/token.
Subsequent calls use the stored key — no configuration needed.
The new account starts with 100,000 µUSDC ($0.10) trial credit, covering roughly 1,600 typical queries.
When trial credit runs low the server automatically tops up the account (up to 10 times, $2 each). Once the free allowance is exhausted a checkout URL is returned — visit it to add USDC and continue querying.

Available datasets

FDA adverse events · SEC EDGAR · clinical trials · ClinVar · arXiv · PubMed · Ethereum · Bitcoin · Base · DeFi TVL · FEC contributions · FRED economic series · NVD/CVE · OSV advisories · sanctions · FHFA house prices · GWAS · ClinPGx · malware samples · open food facts · world bank commodities · and more — call list_databases() for the full live schema.

Example

User:    What were the top adverse events reported for metformin last year?

And how does that compare to 2022 and 2023? Claude: [queries fda.faers for each year, builds trend table] GI events (diarrhoea, nausea, vomiting) were flat 2022→2024, then spiked sharply in 2025 — consistent with the longevity/ obesity wave hitting FAERS with a lag. Lactic acidosis stayed nearly flat across all four years despite overall volume growth.

User: Can you cross-reference that with genomic profiles? Claude: [queries clinpgx, clinvar, gwas — no SQL needed from user] SLC22A1 rs628031 has a direct ClinPGx annotation for GI toxicity — the strongest known genomic explanation for why diarrhoea and nausea dominate the FAERS signal for metformin.

Microquery MCP

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Databases & datasetsi

Common questions

Alternatives

Supabase

MongoDB MCP Server

Elasticsearch MCP Server

README from the maker

microquery-mcp

See also

Prerequisites

Installation

Claude Desktop (recommended)

Other MCP hosts (Cursor, etc.)

Tools

How it works

Available datasets

Example