"XML" matching MCP servers:

A TypeScript MCP server for interacting with CDISC Define-XML 2.0 and 2.1 files, enabling users to load, search, and retrieve clinical data metadata including datasets, variables, and codelists. It supports local file processing with document caching and provides responses in both JSON and Markdown formats.

MCP server that provides AI assistants with tools to understand, validate, generate, and transform CERIF 1.6 research information, including entity browsing, XML validation, document building, and migration from CERIF 1.5.

Fetches, parses, and summarizes ETSI telecommunications and media standards documents, enabling Claude to autonomously look up and ingest standards mid-conversation for answering questions, generating conformant code, or writing XML.

MCP server that connects Claude to eXist-db, enabling XQuery execution, offline documentation lookup, and collection management for digital humanities projects using TEI/XML.

Provides MCP tools to explore and analyze IATI-standard aid data, including activities, organisations, recipient countries, sectors, and financial transactions, from configurable XML sources.

MCP server for searching patents in Taiwan's Global Patent Search System (GPSS) using keywords and boolean operators, returning raw XML responses.

Enables quantum machine learning operations using Qiskit, including executing quantum circuits, computing quantum kernels, training variational quantum classifiers, and evaluating quantum ML models.

An MCP server that gives AI agents the ability to profile a CSV, define an ML task, tune XGBoost and LightGBM with Optuna, and produce a markdown report with feature importance, all from natural language.

Provides financial data extraction, calculation, and analysis from XML files via a FastMCP server, integrated with a Streamlit frontend and local LLM for secure corporate data handling.

Enables searching and retrieving biomedical literature from Europe PMC, including abstracts, full-text (JATS XML), text-mined annotations, citations, references, and database cross-links, through natural language queries and automated data staging.

Resolves scholarly identifiers — DOI, PubMed ID, PMCID, ISBN, ISSN, arXiv, ADS bibcode — into clean, formatted citations in any of 10,000+ CSL styles. Returns plain text, HTML, Markdown, RIS, BibTeX, CSL-JSON, or EndNote XML for direct paste or reference manager import.

Provides machine learning researchers with tools for creating publication-quality scientific visualizations, statistical plots, and 2D data representations. It streamlines the research workflow by enabling AI assistants to generate complex figures from CSV, JSON, or direct data inputs.

Enables interaction with Comet ML's experiment tracking platform through the Model Context Protocol, providing tools for experiment management, project organization, and advanced search.

Provides GPU-accelerated scientific computing capabilities including symbolic mathematics, quantum wave mechanics simulations, molecular dynamics, and neural network training through four specialized MCP servers.

Enables natural-language evaluation, explanation, and reporting of any trained ML model, including performance metrics, prediction insights, drift detection, and PDF report generation.