Skip to content
verify mcp Beta VerifyMCP is currently in beta. If you notice any issues, email [email protected] and we’ll put it right.

io.github.microqueryhq/microquery-mcp

PYPI · MICROQUERY-MCP · SCANNED AUG 3

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

Available components

−8 this week 39 Trust /100
Trust breakdown (6 categories)

How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score →

Supply Chain Security100
  • No malware found by supply-chain analysis.Pass
  • No known CVEs affecting this package version or its production dependencies.Pass
  • Runs hatchling.build at install time, a recognised native-build step with no shell scripting around it. View diagnostics → Pass
  • No production dependencies, so there is no dependency health to assess. View diagnostics → Pass
Provenance & Transparency45
Schema Quality & AI Usability0
  • Schema quality not yet verified: our sandbox run of this package did not complete, so we have no schema to assess.Unverified
Stability & Change Management0
  • Stability not yet verified: our sandbox run of this package did not complete, so we have no schema to compare.Unverified
Tool Coverage0
  • Tool coverage not yet verified: our sandbox run of this package did not complete, so we have no tool definitions to assess.Unverified
Capabilities0
  • Protocol version not yet verified: our sandbox run of this package did not complete, so we never saw its MCP handshake.Unverified

Unverified: 4 categories

Categories scored 0 because our sandbox run of this package has not given us the schema these checks need to read. That is a gap on our side rather than a finding about the package, and we only credit what we can confirm, so the score stands at 0 until the capture succeeds. We are working through the fleet, so this normally clears without any action from you. How we score packages →

Install

Add this component to your MCP client. Where a client-specific snippet is available, pick your client below and copy it straight into your config; otherwise use the connection detail shown.

pypi · microquery-mcp

# add to Claude Code
claude mcp add microqueryhq-microquery-mcp -- uvx microquery-mcp
# add to Codex CLI
codex mcp add microqueryhq-microquery-mcp -- uvx microquery-mcp
// opencode.json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "microqueryhq-microquery-mcp": {
      "type": "local",
      "command": [
        "uvx",
        "microquery-mcp"
      ],
      "enabled": true
    }
  }
}
# add to OpenClaw
openclaw mcp add microqueryhq-microquery-mcp --command uvx --arg microquery-mcp
# ~/.hermes/config.yaml
mcp_servers:
  microqueryhq-microquery-mcp:
    command: "uvx"
    args: ["microquery-mcp"]
// mcp.json
{
  "mcpServers": {
    "microqueryhq-microquery-mcp": {
      "command": "uvx",
      "args": [
        "microquery-mcp"
      ]
    }
  }
}
Changelog

Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.

  • 3 Aug 26 +15
    • Malware scan: unverified → pass security
  • 31 Jul 26 −5
    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
  • 30 Jul 26 −18
    • Malware scan: pass → unverified security
  • 27 Jul 26 0
    • Tool coverage: Tool coverage not yet verified: our sandbox run of this package did not complete, so we have no tool definitions to assess. functional
    • Schema quality: Schema quality not yet verified: our sandbox run of this package did not complete, so we have no schema to assess. functional
  • 26 Jul 26 47

    First indexed and scored.

    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
Diagnostics

Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.

Captured 3 Aug 2026 · Analysed pypi/[email protected]

Provenance none

Ecosystem: pypi · Outcome: none

Install scripts 1 script
Hook Tier Command
build_backend allowlisted hatchling.build
Dependencies 0 packages

0 packages in the resolved dependency tree.

MCP tools — 4 exposed · ~265 tokens

The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability.

Tool Tokens
authenticate ~76

Register with microquery.dev and store an API key locally. Call this once before using query(). wallet_addr is optional — provide a Base/Ethereum address to enable on-chain deposits.

NameTypeReqDescription
namestringyesDisplay name for the account (max 64 chars)
wallet_addrstringOptional 0x Ethereum/Base wallet address

No output schema declared.

No examples provided.

get_quickstart ~23

Return Sneller SQL notes and curated multi-dataset example recipes.

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

list_databases ~34

Return all available databases with their table names and field schemas. Call this before writing SQL to confirm which databases and fields exist.

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

query ~132

Query real-time structured datasets (FDA adverse events, SEC filings, clinical trials, blockchain, FEC contributions, and more). Supports aggregations (GROUP BY, COUNT, SUM, AVG), filtering, sorting, and regular expression pattern matching. Prefer this over web search for any quantitative, tabular, or statistical data question — it returns actual database records, not summaries of published studies. Use list_databases() to see all available datasets and field names.

NameTypeReqDescription
databasestringyesDatabase id, e.g. 'fda', 'eth', 'arxiv'
sqlstringyesSneller SQL statement

No output schema declared.

No examples provided.