GenPark JWT Token Verifier & Claims Auditor

io.github.alphaparkincPublished by GitHub account alphaparkincv1.0.1Updated Oct 26, 2026

Pure-Python zero-dependency JWT claims auditor and payload inspector enforcing expiry, audience, and

VerifiedSTDIODesktop onlyDeveloper ToolsSecurity & Monitoring

Overview

AI-generated overview

A local, zero-dependency Python MCP server that audits JWT tokens, inspecting claims and enforcing expiry, audience and algorithm safety.

What you can do
  • Inspect JWT payloads and read their claims
  • Check expiry and audience values against expected settings
  • Enforce algorithm safety rules when validating tokens
  • Run as a local MCP server or import the same logic as a Python library
When to use it
Useful when an assistant needs to examine or validate JWTs during debugging, security review, or authentication troubleshooting, without sending tokens to an external service.
Requirements
Runs as a local process on the user's machine, started with Python (standard library only, no third-party packages). Distributed as an .mcpb package; desktop client only, no web execution. No accounts, API keys or environment variables are declared.
Before you install
Tokens are credentials: pasting a real JWT into a chat exposes its claims and signature to the assistant and its model provider. Treat any token shared this way as potentially compromised and rotate it if it carries sensitive scopes.

Installation

In SourceWeft

  1. Open GenPark JWT Token Verifier & Claims Auditor in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.

Other MCP clients

Follow the launch instructions in the repository.

README

GenPark JWT Token Verifier & Claims Auditor

[License: MIT] [Python Standard Library] [Model Context Protocol] [GenPark]

Pure-Python zero-dependency JWT claims auditor and payload inspector enforcing expiry, audience, and algorithm safety.

Part of the GenPark AI Agent Skills Ecosystem.

🌟 Key Features

  • 100% Python Standard Library: Zero third-party runtime dependencies.
  • MCP Native: Plugs directly into Claude Desktop, Cursor, LobeChat, and autonomous agent DAGs.
  • Production Resilience: Strict schema conformance, zero data loss, enterprise hardened.

🚀 Installation & Usage

Run as an MCP server:

bash
python mcp_server.py

Use directly as a library:

python
from client import *

See example_usage.py for comprehensive integration demonstrations.

📄 License

MIT License. Maintained by GenPark AI.

Source: README.md at commit a9666f8

Tools

0
SourceWeft has not started this package in its sandbox yet, so its tools are not known.

Version history

1
  1. v1.0.1LatestOct 20, 2026

Score

40% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

  • Reached in the last 30 days25 pts

    Keep the endpoint answering the MCP handshake; SourceWeft probes it every 30 days.

  • Auth declared10 pts

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  • Tools listed15 pts

    Answer tools/list without a credential, or ship a package that starts in a sandbox without one.

  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts
  • License10 pts

    Declare a license in the repository or the registry entry.