genpark-markdown-table-to-json-transformer-skill
Official 1. Click on "Deploy Server".
2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
3. In the chat, type `@` followed by the MCP server name and your instructions, e.g., "`@genpark-markdown-table-to-json-transformer-skill` convert this markdown table to JSON: | name | age |
| Alice | 30 |"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a [step-by-step guide with screenshots](https://glama.ai/blog/2025-07-08-how-to-install-and-use-mcp-servers).genpark-markdown-table-to-json-transformer-skill
⚡ Overview & Architectural Significance
genpark-markdown-table-to-json-transformer-skill delivers zero-dependency, low-latency web automation, DOM semantic pruning, and execution trajectory evaluation primitives engineered strictly using Python 3.9+ standard library.
🌟 Key Architectural Capabilities
Zero External Dependencies: Operates exclusively via pure Python (
html.parser,urllib.parse,re,math,json). Zero pip install overhead, zero headless browser crashes.Enterprise Web Agent Invariants: Implements formal token-pruning algorithms, form auto-mapping, anti-crawler trap normalization, Markdown-to-JSON type inference, and trajectory Levenshtein distance evaluation.
Native Anthropic MCP Protocol: Compliant with standard JSON-RPC 2.0 stdio MCP specifications for Claude Desktop, Cursor, and Windsurf.
Related MCP server: genpark-html-dom-semantic-tree-pruner-skill
🏗️ Architectural Topology & State Machine
flowchart TD
RawWeb["Raw Web Page / DOM Ingress"] --> TrapFilter["URL Canonicalization & Anti-Crawler Trap Guard"]
TrapFilter --> DOMPruner["HTML DOM Semantic Tree Pruner
(80%+ Token Reduction, Strips Scripts/Styles/SVG)"]
DOMPruner --> FormMapper["Web Form Input Schema Auto-Mapper
(Attribute & Heuristic Profile Field Binding)"]
DOMPruner --> TableParser["Markdown & HTML Table to JSON Transformer
(Type-Inferred Structured Record Generation)"]
FormMapper --> AgentExecution["Autonomous Agent Browser Interaction"]
TableParser --> AgentExecution
AgentExecution --> TrajectoryEval["Synthetic Trajectory Evaluator
(Action Precision, Recall & Levenshtein Edit Distance)"]
TrajectoryEval --> VerifiedTaskDone["Verified Benchmark Task Completion"]🚀 Quickstart & Standalone Execution
Local Python Client Usage
from client import MarkdownTableToJsonTransformer
# Initialize engine
engine = MarkdownTableToJsonTransformer()
# Execute self-testing benchmark suite
result = engine.run_benchmark_table_transformer()
print("Execution Result:", result)🔌 One-Click MCP Integration (Claude Desktop / Cursor)
Add to your claude_desktop_config.json or cursor.json:
{
"mcpServers": {
"genpark-markdown-table-to-json-transformer-skill": {
"command": "python",
"args": ["-u", "/path/to/genpark-markdown-table-to-json-transformer-skill/mcp_server.py"]
}
}
}📦 Smithery.ai & PyPI Deployment
This skill contains pre-configured smithery.yaml and pyproject.toml manifests. Install directly via pip:
pip install git+https://github.com/alphaparkinc/genpark-markdown-table-to-json-transformer-skill.gitThis server cannot be deployed
Maintenance
Related MCP Connectors
Hosted MCP server: convert PDFs to clean, LLM-ready Markdown with tables, formulas and OCR.
Deterministic Zero-LLM Web Compiler, Scraper, Crawler, and Site Mapper for AI Agents.
Any URL to clean markdown/JSON; PDF, XLSX, CSV, DOCX to text and tables. Free tier for agents.
Web scraping for agents. Point it at a URL and it returns the page as clean markdown, JavaScript-rendered pages included. Point it at a site and it maps the URLs or crawls the section you need in the background, a few pages at a time so results fit in the conversation. Search the web and read full pages, extract fields with a JSON schema you define (validated, never invented), read a store's catalogue or a blog's posts from the platform's own feed, and check whether a page has changed. Failed requests cost nothing. The free plan includes 1,500 credits a month.
Related MCP Servers
- FlicenseNot gradedqualityBmaintenanceEnables multimodal OCR-based extraction of table grids and merged cells into Markdown with deterministic, zero-dependency execution through MCP for AI agents.9-
- AlicenseNot gradedqualityBmaintenanceEnables autonomous web agents to prune raw HTML into accessibility-friendly semantic trees with 80%+ token reduction, auto-map form input schemas, convert HTML/Markdown tables into type-inferred JSON records, and score agent execution trajectories. Runs as a zero-dependency, stdlib-only MCP stdio server for Claude Desktop, Cursor, and Windsurf.7MIT
- AlicenseNot gradedqualityBmaintenanceEnables autonomous web agents to prune DOM trees, canonicalize URLs, auto-map form inputs, and convert HTML/Markdown tables into typed JSON, then score execution trajectories with action-level precision, recall, and Levenshtein edit distance against gold benchmarks. Runs as a zero-dependency, stdlib-only MCP server over JSON-RPC 2.0 stdio for Claude Desktop, Cursor, and Windsurf.7MIT
- AlicenseNot gradedqualityBmaintenanceEnables autonomous web agents to canonicalize URLs, detect anti-crawler traps such as circular paths and infinite pagination, prune DOM tokens, auto-map forms, transform tables into JSON, and evaluate action trajectories through MCP.7MIT