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Open-source observability platform purpose-built for AI agents, with OpenTelemetry-native tracing, plain-English signals, an evals SDK and CLI, SQL dashboards, dataset annotation, and MCP/CLI access, self-hostable with Apache-2.0 SDKs for Python and TypeScript.

Inspect LLM traces and spans, manage prompts, explore datasets, and review evaluation experiments from Claude — with the official Arize Phoenix MCP server, built into the open-source Phoenix AI observability platform.

Official Hugging Face Agent Skills collection for Claude Code, Codex, Cursor, Gemini CLI, and other skills-compatible agents, covering Hub CLI workflows, datasets, model search, Spaces, Gradio, fine-tuning, evaluations, local models, papers, Trackio, ZeroGPU, transformers.js, TRL, and the Hugging Face MCP server.

Connect Claude to LangSmith — retrieve conversation threads and traces, fetch and push prompts, browse evaluation datasets and experiments, and access billing usage — with the official LangSmith Model Context Protocol server from LangChain.

Connect Claude to a running RAGFlow deployment through its built-in MCP server, so agents can retrieve grounded chunks from selected datasets using RAGFlow's DeepDoc-powered retrieval pipeline.

Official Baselight remote MCP server for searching and querying a catalog of 70,000+ public datasets from Claude via OAuth or x-api-key authentication.

Official Apify MCP server for connecting Claude to Apify Actors, Actor runs, datasets, key-value stores, and Apify documentation through hosted Streamable HTTP or local stdio transports.

Official data.gouv.fr MCP server for searching French national open datasets, exploring organizations and data services, inspecting resources, querying tabular data, and retrieving dataset metrics through Claude.

Open source MCP server for querying Brazilian public data sources, including economic, legislative, transparency, judicial, electoral, environmental, health, education, public-safety, aviation, and infrastructure datasets.

Streamable HTTP MCP server for financial research workflows, including standardized financial data, SEC filing search, company discovery, market signals, ticker resolution, and alternative-data table exploration.

Python MCP server that lets Claude query Financial Datasets for stock statements, prices, company news, crypto prices, and SEC filings.

Source-backed agent for designing Inspect AI benchmark tasks, datasets, solver plans, scorer rubrics, model matrices, eval logs, and release-quality prompt evaluation decisions.

Apache-2.0 library for loading, sharing, streaming, inspecting, and preprocessing AI datasets from the Hugging Face Hub or local files.

Open-source data and model versioning tool for tracking datasets, ML artifacts, pipelines, experiments, metrics, and remote storage alongside Git.

MCP server that connects Claude to Bright Data web search, scraping, browser automation, public web datasets, and package metadata tools.

Open-source suite of development tools from Microsoft for building LLM applications end to end — create executable flows that link LLMs, prompts, Python, and tools, trace and debug them, evaluate quality against datasets in CI/CD, and deploy to a serving platform.

Query observability data, manage dashboards, and monitor your systems from Claude — run APL queries against datasets, list metrics, inspect monitors, and retrieve saved queries — with the official Axiom remote MCP server.

SpotDB local MCP server that exposes an ephemeral DuckDB sandbox for AI agents to upload CSV data, run guarded SQL queries, and explore datasets without touching production databases.

Biomedical MCP server and CLI for searching genes, variants, articles, clinical trials, drugs, diseases, pathways, proteins, adverse events, pharmacogenomics, GWAS, phenotypes, and local study datasets.

Open-source framework from OpenAI for evaluating LLM and agent behavior with reusable eval definitions, grading logic, datasets, and regression workflows.

Apache-2.0 library for loading, computing, comparing, saving, and sharing evaluation modules for machine learning models and datasets.

Open-source data labeling, annotation, and human-in-the-loop AI evaluation platform for text, images, audio, video, time series, and multimodal datasets.

Open-source observability and evaluation tooling for LLM applications, traces, datasets, and experiments.