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npm AI Agent and MCP Packages Enriched Dataset

This dataset packages public npm registry and download records for AI-agent, MCP, orchestration, and model-tooling packages into one analysis-ready dataframe.

Each row represents a package discovered through overlapping npm search terms and enriched with registry metadata, publishing recency, maintainer counts, dependency surface, CLI and TypeScript signals, provider mentions, commercialization cues, and official npm download metrics. The result is easier to use for developer-tool market research, ecosystem mapping, dependency discovery, package screening, and AI tooling analysis than manually unioning search results with package and download endpoints by hand.


Dataset Preview

record_id package_name package_scope unscoped_name package_description latest_version license_name author_name publisher_name maintainer_count published_at first_published_at package_age_days days_since_publish is_recently_published_90d is_deprecated deprecated_message weekly_downloads monthly_downloads search_score matched_search_terms matched_search_term_count primary_search_term best_search_rank mean_search_rank keywords keyword_count dependency_count dev_dependency_count peer_dependency_count bin_command_count has_cli_bin has_typescript_types has_exports engines_node repository_url repository_domain homepage_url homepage_domain bugs_url npm_package_url registry_url source_search_url ecosystem_segment provider_mentions provider_count has_core_ai_signal has_mcp_signal has_agent_signal has_sdk_signal has_commercial_terms commercial_readiness last_collected_at monthly_download_rank weekly_download_rank downloads_tier
npm-package-openai openai openai The official TypeScript library for the OpenAI API 6.39.1 Apache-2.0 OpenAI GitHub Actions 17 2026-05-28T17:46:52.775Z 2020-07-09T13:31:41.309Z 2152 3 True False 23430731 92583631 2360.22 openai 1 openai 1 1 0 0 0 2 1 True True True https://github.com/openai/openai-node.git github.com https://github.com/openai/openai-node#readme github.com https://github.com/openai/openai-node/issues https://www.npmjs.com/package/openai https://registry.npmjs.org/openai https://www.npmjs.com/search?q=openai Developer Tooling / CLI OpenAI 1 False False False False False high 2026-06-01T02:14:11Z 1 1 1m+
npm-package-ai ai ai AI SDK by Vercel - build apps like ChatGPT, Claude, Gemini, and more with a single interface for any... [106 more chars] 6.0.193 Apache-2.0 GitHub Actions 5 2026-05-28T23:37:21.208Z 2014-02-21T22:09:35.189Z 4482 3 True False 12944419 56060745 224.889 anthropic openai 2 anthropic 33 56.5 ai vercel sdk llm mcp tool-calling tools structured-output agent agentic generative genai chatbot pr... [79 more chars] 23 4 10 1 0 False True True >=18 https://github.com/vercel/ai.git github.com https://ai-sdk.dev/docs ai-sdk.dev https://github.com/vercel/ai/issues https://www.npmjs.com/package/ai https://registry.npmjs.org/ai
npm-package-@anthropic-ai/claude-code-linux-x64 @anthropic-ai/claude-code-linux-x64 @anthropic-ai claude-code-linux-x64 Native binary for Claude Code on linux-x64 2.1.159 SEE LICENSE IN LICENSE.md wolffiex 14 2026-05-31T17:49:20.818Z 2026-04-13T23:59:32.601Z 48 0 True False 9308309 36162771 312.338 anthropic claude 2 anthropic 2 41.5 0 0 0 0 0 False False False https://www.npmjs.com/package/@anthropic-ai/claude-code-linux-x64 https://registry.npmjs.org/%40anthropic-ai%2Fclaude-code-linux-x64 https://www.npmjs.com/search?q=anthropic AI Utility / Integration Anthropic Claude 2 True False False False False high 2026-06-01T02:14:11Z 3
npm-package-@anthropic-ai/claude-code @anthropic-ai/claude-code @anthropic-ai claude-code Use Claude, Anthropic's AI assistant, right from your terminal. Claude can understand your codebase,... [72 more chars] 2.1.159 SEE LICENSE IN README.md Anthropic wolffiex 14 2026-05-31T17:50:06.818Z 2025-02-24T18:03:40.929Z 461 0 True False 8661516 33327160 306.419 anthropic claude 2 anthropic 3 45 0 0 0 0 1 True False False >=18.0.0 https://github.com/anthropics/claude-code github.com https://github.com/anthropics/claude-code/issues https://www.npmjs.com/package/@anthropic-ai/claude-code https://registry.npmjs.org/%40anthropic-ai%2Fclaude-code https://www.npmjs.com/search?q=anthropic Developer Tooling / CLI Anthropic Claude 2 True False False False False high 2026-06-01T02:14:11Z 4
npm-package-@anthropic-ai/claude-agent-sdk @anthropic-ai/claude-agent-sdk @anthropic-ai claude-agent-sdk SDK for building AI agents with Claude Code's capabilities. Programmatically interact with Claude to... [90 more chars] 0.3.159 SEE LICENSE IN README.md Anthropic wolffiex 14 2026-05-31T17:50:04.652Z 2025-09-27T16:07:20.263Z 246 0 True False 7066332 25180998 316.142 anthropic claude 2 anthropic 1 31 ai agent sdk claude anthropic automation code-generation 7 0 0 3 0 False True True >=18.0.0 https://github.com/anthropics/claude-agent-sdk-typescript.git github.com https://github.com/anthropics/claude-agent-sdk-typescript github.com https://github.com/anthropics/claude-agent-sdk-typescript/issues https://www.npmjs.com/package/@anthropic-ai/claude-agent-sdk https://registry.npmjs.org/%40anthropic-ai%2Fclaude-agent-sdk https://www.npmjs.com/search?q=anthropic Agent Framework Anthropic Claude 2 True False

Dataset Structure

Total rows: 60

Total columns: 56

Splits

  • data: 60 rows

Data Files

  • data: data/data.parquet

Data Dictionary

The table below describes the columns included in this dataset.

column pandas_dtype dataset_type description
record_id object string Text column. Stable unique identifier for the dataset row derived from the npm package name.
package_name object string Text column. Canonical npm package name.
package_scope object string Text column. Scope prefix for scoped packages, such as @modelcontextprotocol, when present.
unscoped_name object string Text column. Package name segment after the scope separator or the full name for unscoped packages.
package_description object string Text column. Public package description from npm metadata.
latest_version object string Text column. Latest version string reported by the npm registry.
license_name object string Text column. License identifier exposed by the package metadata when available.
author_name object string Text column. Author name parsed from npm package metadata when available.
publisher_name object string Text column. Publisher username associated with the latest published version when available.
maintainer_count int64 integer Whole-number numeric column. Count of maintainers exposed in the registry payload.
published_at object datetime-like string Stored as text, but values appear to represent dates or timestamps. Timestamp of the latest published version.
first_published_at object datetime-like string Stored as text, but values appear to represent dates or timestamps. Timestamp of the package creation time in the npm registry.
package_age_days int64 integer Whole-number numeric column. Days between first publication and collection time.
days_since_publish int64 integer Whole-number numeric column. Days between the latest published version and collection time.
is_recently_published_90d bool boolean True/false column. Boolean flag indicating the latest package version was published in the last 90 days.
is_deprecated bool boolean True/false column. Boolean flag indicating the latest version is marked deprecated.
deprecated_message object empty Column contains no non-null values. Deprecation message for the latest version when present.
weekly_downloads int64 integer Whole-number numeric column. Official npm last-week download count.
monthly_downloads int64 integer Whole-number numeric column. Official npm last-month download count.
search_score float64 float Decimal numeric column. Maximum npm search score observed across the matched search terms.
matched_search_terms object string Text column. Pipe-delimited list of search terms that returned this package.
matched_search_term_count int64 integer Whole-number numeric column. Number of distinct search terms that returned this package.
primary_search_term object string Text column. First matched search term used as the primary provenance label for the package.
best_search_rank int64 integer Whole-number numeric column. Best observed search rank across all matched search terms.
mean_search_rank float64 float Decimal numeric column. Average search rank across all matched search terms.
keywords object string Text column. Pipe-delimited package keywords from npm metadata.
keyword_count int64 integer Whole-number numeric column. Number of package keywords.
dependency_count int64 integer Whole-number numeric column. Count of production dependencies in the latest package version.
dev_dependency_count int64 integer Whole-number numeric column. Count of development dependencies in the latest package version.
peer_dependency_count int64 integer Whole-number numeric column. Count of peer dependencies in the latest package version.
bin_command_count int64 integer Whole-number numeric column. Count of CLI binary entries exposed by the package.
has_cli_bin bool boolean True/false column. Boolean flag indicating the package exposes at least one CLI command.
has_typescript_types bool boolean True/false column. Boolean flag indicating the package exposes built-in TypeScript typings.
has_exports bool boolean True/false column. Boolean flag indicating the package defines an exports field.
engines_node object string Text column. Declared Node.js engine range from the latest version when present.
repository_url object string Text column. Repository URL from npm metadata when present.
repository_domain object string Text column. Repository host domain parsed from repository_url.
homepage_url object string Text column. Homepage URL from npm metadata when present.
homepage_domain object string Text column. Homepage host domain parsed from homepage_url.
bugs_url object string Text column. Issue tracker or bugs URL from npm metadata when present.
npm_package_url object string Text column. Public npm package page URL.
registry_url object string Text column. Public npm registry JSON endpoint used for enrichment.
source_search_url object string Text column. Public npm search URL for the primary search term.
ecosystem_segment object string Text column. Heuristic market segment label derived from package metadata and keyword signals.
provider_mentions object string Text column. Pipe-delimited provider and framework mentions detected in package metadata.
provider_count int64 integer Whole-number numeric column. Count of detected provider and framework mentions.
has_core_ai_signal bool boolean True/false column. Boolean flag indicating core AI or LLM terminology appears in the package metadata.
has_mcp_signal bool boolean True/false column. Boolean flag indicating MCP terminology appears in the package metadata.
has_agent_signal bool boolean True/false column. Boolean flag indicating agent or orchestration terminology appears in the package metadata.
has_sdk_signal bool boolean True/false column. Boolean flag indicating SDK, client, adapter, or integration terminology appears in the package metadata.
has_commercial_terms bool boolean True/false column. Boolean flag indicating commercialization-oriented terms appear in the package metadata.
commercial_readiness object string Text column. Heuristic commercialization label derived from popularity, freshness, and deprecation status.
last_collected_at object datetime-like string Stored as text, but values appear to represent dates or timestamps. UTC timestamp when the row was collected.
monthly_download_rank Int64 integer Whole-number numeric column. Descending rank of monthly downloads within this dataset build.
weekly_download_rank Int64 integer Whole-number numeric column. Descending rank of weekly downloads within this dataset build.
downloads_tier object string Text column. Bucketed popularity tier derived from monthly downloads.

Intended Use

This dataset is intended for research, experimentation, analysis, and model prototyping.

Loading the Dataset


import os
from datasets import load_dataset

HUGGINGFACE_API_KEY_KARMANE = os.environ.get("HUGGINGFACE_API_KEY_KARMANE")

dataset = load_dataset(
    "Karmane/npm-ai-agent-mcp-packages-enriched",
    token=HUGGINGFACE_API_KEY_KARMANE,
)

print(dataset)
print(dataset[list(dataset.keys())[0]][0])

# getting the DataFrame itself
# df = dataset[list(dataset.keys())[0]].to_pandas()

Karmane. (2025). npm AI Agent and MCP Packages Enriched Dataset. Hugging Face. https://huggingface.co/datasets/Karmane/npm-ai-agent-mcp-packages-enriched

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