LLM XML Tag Parser MCP Connector for Claude
A+Extract and validate content within XML-style tags from LLM outputs.
The LLM XML Tag Parser MCP server provides a deterministic way to parse structured data embedded in unstructured text. It is specifically designed for handling the output of models like Claude that use XML tags (e.g., , ) to separate reasoning from final responses. Using robust regex-based extraction and depth tracking, it can handle nested tags and verify structural integrity. You can use extract_single_tag to find specific blocks, extract_all_tags to retrieve all instances of a tag, or validate_tag_integrity to ensure your XML structure is balanced.
Related Connectors
HTML DOM Path Extractor MCP
Generate precise CSS selectors and XPath strings from raw HTML strings.
Regex Tester Batch MCP
High-performance batch regex testing and syntax validation.
WebSocket Event Schema Validator MCP
Ensures structural consistency of WebSocket event payloads against a deterministic schema registry.
MonkeyLearn MCP
Analyze text data with custom machine learning models that classify sentiment, extract keywords, and tag topics automatically.