GenPark Clause References
Extract English defined terms and numbered clause references from supplied text, inspect dependency cycles and expand definitions. Regex helpers, not legal analysis.
Install
Install and configure the MCP from https://github.com/Alpha-Park/genpark-legal-clause-cross-reference-resolver-skill now. Follow the repository's installation instructions, ask me for anything you can't complete yourself, and verify its tools load.genpark-clause-references
Extract English defined terms and explicit numbered references from supplied contract text; inspect dependency cycles. Regex heuristics, not legal analysis.
Python 3.9+; standard library runtime; MIT license.
Install and run
Download genpark-clause-references.mcpb from GitHub Releases and install with an MCPB-compatible client. Python must be installed and available as python.
Alternatively clone this repository and configure an MCP stdio server with command python and arguments containing the absolute path to mcp_server.py.
Tools
extract_defined_termsmap_clause_dependenciesdetect_circular_referencesresolve_and_expand_clauserun_benchmark_legal_resolution
Run python -m unittest discover -s tests for regression checks. The official MCP SDK integration check uses the development dependency mcp: python tests/check_mcp.py.
Limitations
These are deterministic helpers operating on supplied structured data, not machine-learning models. Input and output remain in the local process. No hosted endpoint, automatic file access or network access is required. State lasts only for the current process. Benchmark tools run synthetic examples in isolated state; their status is not a production-quality certification.
Use canonical Section N clause keys. References named Clause, Article or Paragraph are normalized to Section. The graph reports DFS back-edge cycles, not an exhaustive enumeration; defined terms use quoted English phrases.