List all datasets in E2E TIR for AI/ML training and fine-tuning. Filter by project and location to manage your ML data.
Apache 2.0
741,549 tools. Updated 2026-11-04 06:30
"MCP server for finding research data and models for AI/ML training" matching MCP tools:
- Identifies the specific web pages AI models cite for a keyword, returning URLs, domains, mention counts, and AI search volume at country level so you can target pages rather than just domains.MIT
- Get remediation advice for a single finding as GitHub-flavored markdown. When AI Assist is enabled and within budget this is a suggestion written for this exact finding; otherwise it falls back to the static guidance-library text and says…MIT
- Create a dataset type vocabulary term to classify datasets by their role in ML workflows, enabling consistent categorization and retrieval.Apache 2.0
- Initialize an ML workflow run by creating an execution record, linking input datasets and assets for provenance tracking. Supports dry-run mode for testing without catalog writes.Apache 2.0
- Start an AI analysis chat for a study to explore research findings, ask follow-up questions, and generate new insights directly from participant session data.MIT
Matching MCP Servers
- AlicenseNot gradedqualityBmaintenanceProvides AI assistants with a standardized interface to interact with the Todo for AI task management system. It enables users to retrieve project tasks, create new entries, and submit completion feedback through natural language.10 npmApache 2.0
- AlicenseAqualityDmaintenanceProvides 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.9MIT
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- Ethics for AI MCPOAuth
A deterministic daily ethics feed for AI agents, from a four-module curriculum.
Epoch AI — AI models database
- Retrieve predicted finish times for 5K, 10K, half marathon, and marathon based on your VO2 max and recent training data.MIT
- List all available data models for threat modeling, making it easy to choose the right one for your analysis.Apache 2.0
- Draft NISQ-honest quantum-circuit designs or critique ML/CS papers. Returns research text or sample framework code and does not submit QPU work.Apache 2.0
- Register datasets via column names, inline records, or CSV for semantic querying. Role profiling and background training begin immediately; fallback models answer until training improves accuracy.Apache 2.0
- Extracts colors, typography, components, and layout from UI design images for machine learning training. Privacy-friendly, no image storage.MIT
- Run an AI simulation for a scanned site to test how AI models would recommend it.MIT
- Fetch Gemini-powered AI Mode answers from Google Search with cited sources, subtopic breakdowns, follow-up suggestions, and multi-turn tokens for research and data enrichment.MIT
- List all supported AI providers and models for Bring Your Own Key (BYOK).MIT
- Find academic papers and preprints on SSRN for social sciences, economics, law, finance, and humanities research.Apache 2.0
- Query AI models like ChatGPT, Claude, Perplexity, Gemini and Google AI Overviews to get answers and cited sources for tracking brand visibility in AI search.MIT
- List all AI models available through the AiChat API, grouped by provider with descriptions. Find supported models like GPT-4/5, DeepSeek, Grok, and GLM for your conversations.MIT
- Import pre-computed signals, ML features, labels, or regime tags from a JSON file into AlgoChains for ML training. Supports entry/exit signals, feature vectors, classification labels, and regime classifications.MIT
- Read a site's robots.txt to list which AI crawlers may access it, separating those that fetch pages for live answers from those that only collect training data. Know the AI visibility impact per type.MIT
- List AI models by category or provider to compare pricing and find the right option for your needs.MIT
- Retrieve Kaspa circulating supply, emission rate, and percent-mined over time to track tokenomics and supply models.MIT