genpark-agent-codebase-ast-dependency-slicer-skill
Provides tools for CrewAI multi-agent frameworks to perform multi-file AST dependency graph parsing and minimum context slicing for coding tasks.
Provides tools for LangGraph multi-agent frameworks to perform multi-file AST dependency graph parsing and minimum context slicing for coding tasks.
Allows integration with OpenAI Swarm multi-agent framework for AST dependency slicing and context extraction.
This server does not currently have a deployable release on Glama. Follow the repository's setup instructions to install and configure it for your MCP client, including any required credentials and local dependencies.
genpark-agent-codebase-ast-dependency-slicer-skill
π GenPark MCP Hub β’ π¦ GenPark Official β’ π Documentation
π Overview & Capability
genpark-agent-codebase-ast-dependency-slicer-skill is a deterministic, high-performance, zero-dependency Python tool and native Model Context Protocol (MCP) server designed for autonomous AI agents, multi-agent frameworks (LangGraph, CrewAI, AutoGen, OpenAI Swarm), and developer environments (Cursor, Windsurf, Claude Desktop).
Executive Capability: Multi-file AST dependency graph parser & minimum context slicer extracting symbol call-trees for coding agents.
β‘ Key Highlights
π Zero External
pipDependencies: Implemented entirely with pure Python standard library for instant zero-overhead execution.π Native Model Context Protocol (MCP): Plugs directly into any MCP-compliant client via JSON-RPC 2.0 stdio.
β‘ Sub-Millisecond Execution: Slashes token burn and latency by resolving routine agent tasks deterministically without frontier LLM round-trips.
π‘οΈ Production-Hardened: Comprehensive error handling, boundary validation, and telemetry.
Related MCP server: Graft
ποΈ Architecture
graph LR
Agent([π€ Autonomous Agent / IDE]) -->|MCP Protocol / JSON-RPC| Server[β‘ genpark-agent-codebase-ast-dependency-slicer-skill Server]
Server --> Core[π§ Deterministic Processing Core]
Core --> Out[π Actionable Result & Telemetry]
Out --> Agentπ Quickstart & Usage
1. Direct Python Client Execution
python example_usage.py2. Programmatic Integration
from client import CodebaseASTDependencySlicer
client = CodebaseASTDependencySlicer()
result = client.run_benchmark_ast_slicing()
print(result)π Model Context Protocol (MCP) Setup
Connect this skill to Claude Desktop, Cursor, or any MCP-compliant client:
claude_desktop_config.json
{
"mcpServers": {
"genpark-agent-codebase-ast-dependency-slicer-skill": {
"command": "python",
"args": ["/path/to/genpark-agent-codebase-ast-dependency-slicer-skill/mcp_server.py"]
}
}
}Direct MCP Testing
python mcp_server.py --testπ Technical Specifications
Parameter | Type | Required | Description |
|
| Yes | Primary context, code, schema, or content input |
|
| No | Execution flags, compression ratios, or risk bounds |
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
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