GenPark JSON-RPC Batch Pipelining Dispatcher
LocalAbout GenPark JSON-RPC Batch Pipelining Dispatcher
GenPark JSON-RPC Batch Pipelining Dispatcher is a Python MCP server for batching JSON-RPC 2.0 calls and resolving parameter dependencies between tools. It also works as a library and uses only the Python standard library.
Key features
- 01JSON-RPC 2.0 批处理流水线
- 02工具参数依赖解析
- 03Python 标准库实现
Use cases
- 01批量执行 JSON-RPC 调用
- 02传递工具间参数依赖
MCP support
作为 MCP 服务运行，为 MCP 客户端提供 JSON-RPC 批处理流水线和工具参数依赖解析。
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEGenPark JSON-RPC Batch Pipelining Dispatcher
High-throughput JSON-RPC 2.0 batch pipelining and inter-tool parameter dependency resolver for Model Context Protocol.
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
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.