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Anumana

github.comInfrastructure

No liveness check has reached it yet; it has been in the index since 10 Oct 2026. How this is checked

Anumana is a developer tool and MCP server for preflighting SQL, NoSQL, graph, warehouse, and vector database queries across 12 database engines. It estimates query cost before execution so AI agents and developers can identify expensive operations and optimize them.

Inferred · not functionally tested

WebCLISelf-hostedAPI
Anumana preview
Visit github.com

Overview

6 features

Purpose: Preventing AI agents from running expensive or inefficient database queries without first estimating their cost.

Inferred · not functionally tested

Audience: developers building AI agents and database tooling

Inferred · not functionally tested

Functions: agents, analytics

Inferred · not functionally tested

Interfaces: API: indicated (inferred, not tested) · MCP: indicated (inferred, not tested) · CLI: indicated (inferred, not tested) · Self-hosting: indicated (inferred, not tested)

Recorded constraints: pricing: unknown · license: Proprietary · platforms: CLI, WEB · deployment: browser, cli, self_hosted, api_only

Constraint provenance is unknown; confirm requirements with the publisher.

Record sources: github.com. These links do not verify the individual claims.

In the Databases (SQL, NoSQL, vector, graph) space, Anumana takes a focused approach. Inferred · not functionally tested: It focuses on preventing AI agents from running expensive or inefficient database queries without first estimating their cost. Inferred · not functionally tested: It is built as an open-source project for developers building AI agents and database tooling. Basis unknown · not verified: It runs on the web, the command line, and API, and it can be self-hosted.

Behind Anumana is sinhaKAN-ra. Inferred · not functionally tested: Among its 6 catalogued features are query cost estimation, SQL preflight, and noSQL preflight. Inferred · not functionally tested: Catalogued interfaces include an MCP server.

Summary written by a language model from the project’s public pages.

Tasks: Inferred · not functionally tested

  • Query cost estimation
  • SQL preflight
  • NoSQL preflight
  • Graph query support
  • Warehouse query support
  • Vector query support

Topics: Inferred · not functionally tested

Tags
query-cost-estimationdatabase-optimizationmcp-serverai-agents
AI capabilities
Structured
Inference: Local

JSON profile · Text profile · Access guide

Built with & integrations

Connectors
MCP
Runs on
BrowserCLISelf-hostedAPI-only

Trust & compliance

Public signals
HTTPS

Indexing history

1

What PulseGate has recorded for this listing

  1. Indexed10 Oct · 12:03 UTC
    io.github.sinhaKAN-ra/anumana seen via MCP Registry (official)
    Source: MCP Registry (official) · Open

Frequently asked questions about Anumana

What does Anumana do?
Inferred · not functionally tested: Anumana focuses on preventing AI agents from running expensive or inefficient database queries without first estimating their cost. It is catalogued under Databases (SQL, NoSQL, vector, graph) on PulseGate.
Who is Anumana for?
Inferred · not functionally tested: Anumana is an open-source project built for developers building AI agents and database tooling.
What platforms does Anumana run on?
Basis unknown · not verified: Anumana runs on the web, the command line, and API. It can also be self-hosted.
Is Anumana still maintained?
Unverified. Anumana has not been re-checked since it entered the index, so there is no finding either way — and only a positive finding would say otherwise.
Who develops Anumana?
Anumana is developed by sinhaKAN-ra.
Does Anumana have an API or integrations?
Inferred · not functionally tested: Yes — Anumana exposes an MCP server.

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