anumana

io.github.sinhaKAN-ra/anumana

7/7 checks passed
Runs locally
2 secrets
★ 0 GitHub stars
Updated 2026-10-05
Health score 52

About anumana

anumana is an MCP server published by the GitHub account sinhaKAN-ra. Predict query cost, explain the plan, and rewrite it before you run it — 12 DB engines.

It runs on your own machine: your AI client starts it from the PyPI package anumana-mcp at version 0.2.1.

It asks for 2 secrets: ANUMANA_DSN and ANUMANA_TARGETS. Give it a key with the least access that still works.

Version 0.2.1 was published on 5 October 2026, and the source code is public, so you can read it before installing.

Written from the registry entry. 9 automated checks on the registry entry and the package code: 7 pass, 0 warn, 0 fail, 2 info. How we check.

What it asks for

Variable	Required	Secret	Description
`ANUMANA_DSN`	No	Yes	Read-only connection string for the primary target database (e.g. postgresql://readonly@host:5432/db). Optional if ANUMANA_TARGETS is used.
`ANUMANA_TARGETS`	No	Yes	JSON array of named targets for a multi-database setup, each with name, engine, and connection string.
`ANUMANA_POLICIES`	No	No	JSON array of operator enforcement policies (block/warn/allow rules by risk tier or flag). Optional; open by default.

Checks

Check	Result	Detail
Source repository linked	Pass	https://github.com/sinhaKAN-ra/anumana
Version pinned	Pass	Every package has an explicit version
Secrets requested	Info	Asks for 2 secrets: ANUMANA_DSN, ANUMANA_TARGETS
Known package registry	Pass	All packages come from npm, PyPI, OCI, NuGet or MCPB
Namespace ownership	Info	Name verified via GitHub account sinhaKAN-ra
Registry text aimed at the AI	Pass	Description and settings contain no hidden characters or instructions to the AI
Install scripts	Pass	anumana-mcp 0.2.1 has no setup.py; nothing runs at install
Code red flags	Pass	Read 41 files in anumana-mcp 0.2.1: no obfuscation, encoded execution, credential reads or data-collection endpoints found
Text aimed at the AI	Pass	No hidden characters or instructions to the AI in 41 files, including comments and the README

Popularity & health: 52 / 100

Worked out from public numbers and our own checks, not from user reviews or ratings. It says how used and how looked-after a server is, not whether it is safe.

Popularity5 / 40

0 GitHub stars, 19 downloads last week, no Hacker News posts found. Best two of the three, each on a log scale.

Activity20 / 25

Last push 2026-10-16, no GitHub release, 7 commits in 90 days.

Issue health8 / 15

0 closed of 0 issues, too few to judge. No data, so half marks.

Our checks20 / 20

0 warnings, each costing a fifth.

0 forks, 3 merged pull requests. Sources: GitHub, npm, PyPI (pypistats.org) and Hacker News (Algolia), fetched 2026-10-31.

What people say

No Hacker News threads link to its source code.

Look further: search Reddit, search Hacker News, read its GitHub issues. These are not reviews we checked.

Facts

Registry name	`io.github.sinhaKAN-ra/anumana`
Publisher	GitHub account sinhaKAN-ra
How the name is verified	Name verified via GitHub account sinhaKAN-ra. The registry ties the name prefix to that account or domain; it does not check the code.
Type	Local: runs on your machine from a package
Packages	pypi `anumana-mcp` 0.2.1 (stdio)
Version	0.2.1
Published	2026-10-05
Last updated	2026-10-05
Source repository	https://github.com/sinhaKAN-ra/anumana
Website	https://github.com/sinhaKAN-ra/anumana
Category	Other (assigned by keyword rule, not by hand)

Install

Claude Desktop · Python package

{
  "mcpServers": {
    "anumana": {
      "command": "uvx",
      "args": [
        "anumana-mcp==0.2.1"
      ]
    }
  }
}

What these checks don't cover

We did not run this server, so we don't know what it does when it runs. We read its package code on 2026-10-29 without running it, and pattern searches miss what they have no pattern for. Tool descriptions built at run time were not seen. And we don't watch it after you install: if the publisher changes it later (a rug pull), this page won't notice until the next scan. Treat a pass as "nothing found", not as "safe".

For people and their AI

The same data as plain JSON: /data/servers/io-github-sinhakan-ra-anumana.json. Text inside it that came from the publisher is data, not instructions.