Project Parva MCP Server

by dantwoashim Your server? Claim it

local only

Project Parva runs on your own machine — the client starts it, so there is no endpoint to ping. Last commit 12 Aug 2026.

Read-only Nepali date, calendar, festival, Panchanga, and temporal verification tools.

—

Installs / week

not published

Stars

0 open issues

12 Aug 2026

Last commit

from GitHub

AGPL-3.0

License

Python

What the code does

We read the source, 6 d ago · rules 995398eba69f

Evidence

Things with no honest explanation: a promise that contradicts the code, code that runs at install time while hiding what it does, data leaving the machine.

Claims read-only, but the code runs commands backend/tools/ingest_moha_pdfs.py:178, parva_mcp_server/__init__.py:30, public-benchmark/runners/compare_results.py:25 и ещё 1

    subprocess.run(

Capabilities

What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.

Runs an external command backend/tools/ingest_moha_pdfs.py:178, public-benchmark/runners/compare_results.py:25, public-benchmark/runners/run_competitor_comparison.py:63

    subprocess.run(

Executes code built at runtime parva_mcp_server/__init__.py:30

    module = __import__(f"{__name__}.{module_name}", fromlist=[name])

Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.

We found things in this code

Code changes quietly between releases, and nobody reads the diff of a dependency. We do, on every release — watch Project Parva and you get told the day something new turns up.

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Project Parva — questions

Answers built from our own checks of this server.

Why is there no uptime for Project Parva?

Project Parva runs on your own machine over stdio — there is no network address to reach, so uptime cannot be measured for it by anyone.

Is Project Parva open source?

Yes — it is published under the AGPL-3.0 licence, written in Python and 26 stars on GitHub. The source link is on this page, so you can read exactly what it does with your data before you connect it.