"Informational MCP Servers with Croissant Dataset Format Support" matching MCP servers:

Validates MLCommons Croissant dataset metadata (JSON-LD) for schema compliance, as a stateless MCP server.

Enables querying, filtering, and summarizing datasets from the jayjex Data Vault without downloading files.

An MCP server for the Hugging Face Dataset Viewer API that enables searching, fetching, and filtering datasets on the Hugging Face Hub. It allows users to explore schemas, perform full-text searches, and analyze dataset statistics through natural language.

Unified MCP server for discovering open datasets across Hugging Face, Zenodo, and Kaggle, with ranked search results and one-click Colab starter code generation.

An MCP server that searches HuggingFace/Kaggle for datasets, detects their domain, and generates a matching preprocessing script. It turns natural-language dataset queries into runnable, domain-aware preprocessing pipelines.

Enables AI clients to explore and analyze CSV datasets via tools for dataset overview, statistical summaries, missing value analysis, duplicate detection, correlation analysis, and outlier detection.

Enables collection, enhancement, and quality scoring of authentic Amharic datasets, with integration for AI models like Gemini and Qwen.

A local DOCX formatter for theses and papers that also provides an optional MCP server with tools for formatting, extracting rules, and scoring papers.

Enables exploratory data analysis and machine learning on CSV datasets with tools for profiling, missing values, correlation, plotting, model training, and prediction.

This MCP server enables users to interact with and analyze the dair-ai/emotion dataset from Hugging Face containing labeled Twitter messages. It provides tools to sample data, search text, and perform statistical analysis on emotion distributions.

An MCP server that enables advanced CSV analysis and data visualization using Google's Gemini AI and Plotly. It allows users to perform exploratory data analysis, generate interactive charts, and conduct complex reasoning on tabular data.

MCP server for alive-analysis. Query, search, and retrieve structured analysis history written with the ALIVE loop (Ask→Look→Investigate→Voice→Evolve), plus dashboard JSON export.

Custom MCP server for NotebookLM that adds audio source upload, YouTube source ingestion, source readiness polling, and transcript export, complementing standard Q&A and audio overview tools.

Enables searching and discovering machine learning papers, state-of-the-art benchmarks, tasks, datasets, methods, and leaderboards from Papers with Code. Supports mapping papers to their benchmark results and browsing evaluation tables.

Enables AI agents to query free biomedical and pharmaceutical APIs for clinical trials, drug data, molecular structures, adverse events, and research literature.

Enables fetching daily Product Hunt launches as dataset rows with maker names, product website and company domain, X and LinkedIn links, votes, rank, and topics. Users can filter by specific days or days back, topics, keywords, and minimum votes, or skip already-seen launches on a schedule.

For AI agents and humans: Discover researchers, publications, datasets, and code repositories across a federated network of researcher digital twins. Compute S-Index impact metrics combining citation data from Semantic Scholar and Google Scholar with code and dataset quality scores from GitHub and Figshare.

Enables parsing PDF files from local paths or URLs into structured JSON or Markdown format using NetMind's AI-powered PDF extraction service.

Enables coding agents to query AI model API prices, including historical point-in-time lookups with cited sources, using a bundled dated dataset and requiring no API keys.

Enables AI assistants to perform petroleum engineering calculations including PVT analysis, well performance modeling, and reservoir simulation support using industry-standard correlations and field units.

Provides advanced analytical, research, and natural language processing capabilities through a Model Context Protocol server, enabling dataset analysis, decision analysis, and enhanced NLP features like entity recognition and fact extraction.

MCP server over the U.S. Department of Labor Wage and Hour Division (WHD) enforcement dataset: employer wage-theft history, back wages owed, civil penalties, and affected-employee counts. Built for worker-justice nonprofits, legal-aid intake, and union researchers.

Turns a CSV — or a public dataset named in plain English — into an animated chart video. Every numeric claim in the generated narration is recomputed from the source rows before export, and a claim that does not reconcile blocks the export rather than shipping.

MCP server providing agentic tools for academic paper search, with support for OpenAlex API and optional API keys.

Daily-verified LLM API pricing dataset (44+ models, CN & global) with a hosted MCP server for live price queries and token cost estimation.

Enables querying Eurostat data via four narrow tools for dataset search, structure retrieval, code lookup, and data queries, with server-side validation and compact responses.

Provides a tool for dynamic and reflective problem-solving by breaking complex problems into manageable steps with support for revision, branching, and hypothesis generation.

Provides an MCP server for querying a dataset of 350 Indian startups' marketing channels by stage, sector, and budget, enabling evidence-based channel selection through natural language.

Checks the credibility of news domains against the open CRED-1 dataset of 2,600+ rated domains, aggregated from OpenSources and Iffy.news. Tools to check one domain, batch check, search, and read dataset stats and categories; no API key needed.

A personal MCP server built with Python FastMCP, offering tools for paper retrieval, dataset analysis, project scaffolding, and directory utilities, with stdio and HTTP transport plus optional bearer token authentication.