About Applications
Applications is an MCP server published by universal-mcp in the Developer Tools category: code related to Model Context Protocol.
The repository has 2 stars and 3 forks, with the last commit 6 months ago. Six months or more without a commit doesn't mean the server is broken, but check the open issues before depending on it in production.
Install
git clone https://github.com/universal-mcp/applicationsThis server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.
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Security checks
Static checks derived from the repository 5 days ago. Heuristics on the source, not an audit.
- ✓README presentThe repository ships documentation.
- ✓License declaredUsable under a stated license.
- ✓Tests presentA test suite exists in the repository.
- ✓Dependencies pinnedA lockfile pins dependency versions.
- ✓No dynamic code executionSource scan found no eval, dynamic Function, or shell execution.
- !Scoped permissionsDoesn't declare a permission scope. Assume it can do anything its process can.
Releases
README
Universal MCP Applications
A collection of 80+ installable application wrappers for the Universal MCP framework.
This package provides a unified collection of all individual Universal MCP applications. It allows you to install every available tool at once and use them either as Python libraries in your own code.
Installation
It is recommended to use uv for faster installation.
# Recommended using uv
uv pip install universal-mcp-applications
# Or using standard pip
pip install universal-mcp-applications
Usage
The primary way to use the tools in this package is give below :-
1. As a Library
Each application can be imported and used directly in your Python projects. This is useful for integrating with other scripts or building more complex workflows.
Example:
from universal_mcp_applications.falai import FalaiApp
from universal_mcp.utils import process_output
# Instantiate the application
# You may need to provide credentials via an integration
app = FalaiApp()
# Call a method
result = app.some_method(param1="value1")
# Process and print the output
process_output(result)
README fetched from the repository 5 days ago. The original is authoritative.