GenPark Jinja-Like Prompt Template Renderer

io.github.alphaparkincPublished by GitHub account alphaparkincv1.0.1Updated Oct 27, 2026

Safe zero-dependency Jinja-like prompt template parser and renderer supporting for-loops, if-conditi

VerifiedSTDIODesktop onlyDeveloper ToolsAI & ML

Overview

AI-generated overview

A local MCP server that parses and renders Jinja-like prompt templates with variables, for-loops and if-conditions, using only the Python standard library.

What you can do
  • Render prompt templates that use variables, for-loops and if-conditions
  • Parse and validate template syntax before rendering
  • Produce filled-in prompt text for reuse across agent workflows
  • Run as a local MCP server or be imported as a Python library
When to use it
Useful when an assistant needs to fill reusable prompt templates with data, or generate repeated prompt blocks from lists and conditions, without pulling in a full templating dependency.
Requirements
Runs as a local process on the user's machine, started with Python (the README shows running mcp_server.py). Desktop only; no authentication, environment variables or headers are declared. No third-party runtime dependencies.
Before you install
The manifest lists no tools, so the exact operations exposed to an assistant are not documented here. It is a local, desktop-only package; review the bundled code before running it, since it executes on your machine.

Installation

In SourceWeft

  1. Open GenPark Jinja-Like Prompt Template Renderer 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 Jinja-Like Prompt Template Renderer

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

Safe zero-dependency Jinja-like prompt template parser and renderer supporting for-loops, if-conditions, and variables.

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 7a665c4

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.