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GenPark SemVer Dependency Resolver Agent

GenPark SemVer Dependency Resolver Agent

Local
genpark.aiDeveloper Tools7Updated 1w ago

About GenPark SemVer Dependency Resolver Agent

A Python tool for matching Semantic Versioning 2.0.0 ranges and resolving dependency trees in multi-agent toolkits and plugins. It can run as an MCP server or be used as a library.

Key features

  1. 01Semantic Versioning 2.0.0 range matching
  2. 02Dependency tree resolution
  3. 03Python standard library only
  4. 04MCP server and library modes

Use cases

  1. 01Checking whether versions satisfy dependency ranges
  2. 02Resolving plugin dependencies in agent toolkits

MCP support

Runs as an MCP server, exposing dependency resolution capabilities to MCP clients.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository
Packages
mcpbgenpark-semver-dependency-resolver-agent-skill-v1.0.1.mcpb

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

GenPark SemVer Dependency Resolver Agent

License: MIT Python Standard Library Model Context Protocol GenPark

Semantic Versioning 2.0.0 range matcher and dependency tree resolver for multi-agent toolkits and plugins.

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:

python mcp_server.py

Use directly as a library:

from client import *

See example_usage.py for comprehensive integration demonstrations.

📄 License

MIT License. Maintained by GenPark AI.

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.