
GenPark JSON Pointer Patch Delta
io.github.alphaparkincPublished by GitHub account alphaparkincv1.0.1Updated Oct 25, 2026
RFC 6901 / RFC 6902 compliant JSON Pointer and JSON Patch delta computation engine
Overview
A local MCP server that computes RFC 6901 JSON Pointers and RFC 6902 JSON Patch deltas, letting an assistant diff JSON state for incremental sync.
- What you can do
- Compute JSON Pointer paths and JSON Patch deltas between JSON documents, per RFC 6901 and RFC 6902, for incremental state synchronization. The README presents it as a standards-conformant engine with strict schema conformance and no data loss. It can also be used directly as a Python library rather than only as an MCP server. No individual tools are listed in the supplied material.
- When to use it
- Useful when an assistant needs to compare two JSON documents, produce a patch describing the changes, or resolve JSON Pointer paths, for example when syncing incremental state between systems.
- Requirements
- Runs as a local process on the user's machine, started with the Python interpreter (python mcp_server.py). Desktop only. Uses only the Python standard library, with no third-party runtime dependencies. No authentication, environment variables or headers are declared.
Installation
In SourceWeft
- Open GenPark JSON Pointer Patch Delta in the dashboard and add it to a workspace.
- 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 JSON Pointer Patch Delta
[License: MIT] [Python Standard Library] [Model Context Protocol] [GenPark]
RFC 6901 / RFC 6902 compliant JSON Pointer and JSON Patch delta computation engine for incremental state sync.
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:
Use directly as a library:
See example_usage.py for comprehensive integration demonstrations.
📄 License
MIT License. Maintained by GenPark AI.
Source: README.md at commit 5d9fd7b
Tools
0Version history
1- v1.0.1LatestOct 25, 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
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- 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
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