anumana-mcp
PulseGate's liveness check found it on 5 Oct 2026; it is registered on GitHub and PyPI and has been in the index since 5 Oct 2026. How this is checked
Anumana MCP is an open-source Model Context Protocol server that evaluates database queries before execution. It uses schema-aware EXPLAIN analysis to predict cost, explain query plans, and rewrite queries across multiple SQL and NoSQL database engines for AI-agent developers.
Inferred · not functionally tested
Overview
6 featuresPurpose: Preventing AI-generated database queries from running inefficiently or incurring unexpected costs.
Inferred · not functionally tested
Audience: developers building AI agents and database applications
Inferred · not functionally tested
Functions: agents, data_extraction
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: open_source · license: MIT · platforms: CLI · deployment: cli, self_hosted, api_only
Constraint provenance is unknown; confirm requirements with the publisher.
Record sources: pypi.org · github.com. These links do not verify the individual claims.
In the Frameworks & runtimes space, anumana-mcp takes a focused approach. Inferred · not functionally tested: It focuses on preventing AI-generated database queries from running inefficiently or incurring unexpected costs. Inferred · not functionally tested: anumana-mcp is an open-source project aimed at developers building AI agents and database applications. Basis unknown · not verified: The project is open source (MIT). Basis unknown · not verified: anumana-mcp is available on the command line and API, and it can be self-hosted.
Behind anumana-mcp is sinhaKAN-ra, and it first shipped in 2026. The project is developed in the open on GitHub with 4 commits in the last 90 days. Inferred · not functionally tested: Among its 6 catalogued features are query cost prediction, query plan explanations, and query rewriting. 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 prediction
- Query plan explanations
- Query rewriting
- Schema-aware analysis
- EXPLAIN-only analysis
- Multi-database support
Topics: Inferred · not functionally tested
Built with & integrations
Trust & compliance
Indexing history
1What PulseGate has recorded for this listing
- Indexed5 Oct · 11:56 UTCanumana-mcp seen via PyPI Bulk EnumeratorSource: PyPI Bulk Enumerator · Open
Frequently asked questions about anumana-mcp
- What is anumana-mcp?
- Inferred · not functionally tested: Anumana-mcp focuses on preventing AI-generated database queries from running inefficiently or incurring unexpected costs. It is catalogued under Frameworks & runtimes on PulseGate.
- Who should use anumana-mcp?
- Inferred · not functionally tested: anumana-mcp is an open-source project built for developers building AI agents and database applications.
- Is anumana-mcp free?
- Basis unknown · not verified: Yes — anumana-mcp is open source under the MIT license and free to use.
- What platforms does anumana-mcp run on?
- Basis unknown · not verified: anumana-mcp runs on the command line and API. It can also be self-hosted.
- Is anumana-mcp still active?
- PulseGate's liveness check found it on 5 Oct 2026. Its GitHub repository shows 4 commits in the last 90 days.
- What are alternatives to anumana-mcp?
- Similar projects tracked by PulseGate include ucm-mcp, mcp-alchemy, and analytics-mcp.ucm-mcpmcp-alchemyanalytics-mcp
- Who makes anumana-mcp?
- anumana-mcp is developed by sinhaKAN-ra.
- When did anumana-mcp launch?
- anumana-mcp first shipped in 2026.
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