FreshContext
Свежие данные из GitHub, Hacker News, arXiv, Reddit, новостей и госзакупок
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Описание
FreshContext собирает актуальные данные из публичных источников и помогает ИИ-агенту оценить, насколько свежа и надёжна информация, на которую он опирается. Сервер извлекает сведения о репозиториях GitHub, истории версий пакетов npm и PyPI, публикации Hacker News, Reddit и Product Hunt, научные статьи arXiv и Google Scholar, котировки акций, вакансии, мировые новости GDELT, отчёты SEC и госконтракты США и Сингапура. Есть сводные запросы: картина по технологии, компании, финансовому инструменту или проверка идеи продукта. Отдельный инструмент оценивает переданный контекст по свежести, уверенности и происхождению. Сервер удалённый, ключей в настройках не требует.
Инструменты · 22
из ответа tools/list
evaluate_context
evaluate_context
Evaluate caller-provided candidate context and return decision-ready output. This is the primary FreshContext judgment path: it does not fetch, crawl, scrape, browse, read folders, or call adapters.
evaluate_context(now?: string, intent: string, profile: string, signals: array)
// inputSchema
{
"type": "object",
"$schema": "http://json-schema.org/draft-07/schema#",
"required": [
"profile",
"intent",
"signals"
],
"properties": {
"now": {
"type": "string",
"description": "Optional ISO timestamp for deterministic evaluation."
},
"intent": {
"type": "string",
"minLength": 1,
"description": "Intent Profile id, e.g. citation_check, student_research, developer_adoption, job_search, market_watch, business_due_diligence, medical_literature_triage."
},
"profile": {
"type": "string",
"minLength": 1,
"description": "Source Profile id, e.g. academic_research, jobs_opportunities, market_finance, official_docs, local_custom."
},
"signals": {
"type": "array",
"items": {
"type": "object",
"required": [
"source"
],
"properties": {
"id": {
"type": "string"
},
"title": {
"type": "string"
},
"source": {
"type": "string",
"minLength": 1,
"description": "Source URL, URI, document id, or stable source label."
},
"status": {
"enum": [
"success",
"partial",
"stale",
"failed",
"unknown"
],
"type": "string"
},
"content": {
"type": "string"
},
"metadata": {
"type": "object",
"additionalProperties": {}
},
"source_type": {
"type": "string",
"description": "Source type such as arxiv, jobs, official_docs, custom, or user_provided."
},
"content_date": {
"type": [
"string",
"null"
]
},
"published_at": {
"type": [
"string",
"null"
]
},
"retrieved_at": {
"type": [
"string",
"null"
]
},
"semantic_score": {
"type": "number",
"description": "Optional relevance score from 0..1. Core clamps out-of-range values."
},
"date_confidence": {
"enum": [
"high",
"medium",
"low",
"unknown"
],
"type": "string"
},
"freshness_confidence": {
"enum": [
"high",
"medium",
"low"
],
"type": "string"
}
},
"additionalProperties": true
},
"maxItems": 100,
"minItems": 1,
"description": "Candidate context items provided by the caller. FreshContext evaluates these; it does not retrieve them."
}
},
"additionalProperties": false
}
extract_arxiv
extract_arxiv
Search arXiv for research papers via the official API. Pass a topic or full arXiv API URL. Returns titles, authors, dates, abstracts.
extract_arxiv(url: string)
// inputSchema
{
"type": "object",
"$schema": "http://json-schema.org/draft-07/schema#",
"required": [
"url"
],
"properties": {
"url": {
"type": "string",
"description": "Search query e.g. 'temporal retrieval', or a full arXiv API URL"
}
},
"additionalProperties": false
}
extract_changelog
extract_changelog
Update history for any product. Accepts a GitHub repo URL or an npm package name. Returns version numbers, release dates, and entries.
extract_changelog(url: string)
// inputSchema
{
"type": "object",
"$schema": "http://json-schema.org/draft-07/schema#",
"required": [
"url"
],
"properties": {
"url": {
"type": "string",
"description": "GitHub repo URL or npm package name e.g. 'react'"
}
},
"additionalProperties": false
}
extract_company_landscape
extract_company_landscape
Most complete single-call company intelligence: SEC 8-K filings + USASpending federal contracts + GDELT global news + product changelog + Stooq quote data. 5 unique sources.
extract_company_landscape(ticker?: string, company: string, github_url?: string)
// inputSchema
{
"type": "object",
"$schema": "http://json-schema.org/draft-07/schema#",
"required": [
"company"
],
"properties": {
"ticker": {
"type": "string",
"description": "Stock ticker for finance data"
},
"company": {
"type": "string",
"description": "Company name e.g. 'Palantir', 'Anthropic'"
},
"github_url": {
"type": "string",
"description": "Optional GitHub repo or org URL for changelog accuracy"
}
},
"additionalProperties": false
}
extract_finance
extract_finance
No-key stock quote data via Stooq. Accepts comma-separated ticker symbols and returns quote/OHLC/volume observations with timestamps.
extract_finance(url: string)
// inputSchema
{
"type": "object",
"$schema": "http://json-schema.org/draft-07/schema#",
"required": [
"url"
],
"properties": {
"url": {
"type": "string",
"description": "Ticker symbol(s) e.g. 'AAPL' or 'MSFT,GOOG'"
}
},
"additionalProperties": false
}
extract_finance_landscape
extract_finance_landscape
Composite financial intelligence: Stooq quote data + HN sentiment + Reddit discussion + GitHub ecosystem + product changelog. 5-source unified report.
extract_finance_landscape(tickers: string, company_name?: string, github_query?: string)
// inputSchema
{
"type": "object",
"$schema": "http://json-schema.org/draft-07/schema#",
"required": [
"tickers"
],
"properties": {
"tickers": {
"type": "string",
"description": "One or more ticker symbols e.g. 'PLTR' or 'PLTR,MSFT'"
},
"company_name": {
"type": "string",
"description": "Company name for HN/Reddit/GitHub searches"
},
"github_query": {
"type": "string",
"description": "GitHub search query or repo URL"
}
},
"additionalProperties": false
}
extract_gdelt
extract_gdelt
Global news intelligence from GDELT. Monitors news from every country in 100+ languages, updated every 15 minutes. Returns articles with source country, language, date.
extract_gdelt(url: string)
// inputSchema
{
"type": "object",
"$schema": "http://json-schema.org/draft-07/schema#",
"required": [
"url"
],
"properties": {
"url": {
"type": "string",
"description": "Query: company name, topic, or keyword"
}
},
"additionalProperties": false
}
extract_gebiz
extract_gebiz
Singapore Government procurement opportunities (GeBIZ via data.gov.sg). Search by keyword, agency name, or empty for all recent tenders.
extract_gebiz(url: string)
// inputSchema
{
"type": "object",
"$schema": "http://json-schema.org/draft-07/schema#",
"required": [
"url"
],
"properties": {
"url": {
"type": "string",
"description": "Keyword, agency, or empty for latest tenders"
}
},
"additionalProperties": false
}
extract_github
extract_github
Extract real-time data from a GitHub repository — README, stars, forks, last commit, topics. Returns timestamped freshcontext.
extract_github(url: string)
// inputSchema
{
"type": "object",
"$schema": "http://json-schema.org/draft-07/schema#",
"required": [
"url"
],
"properties": {
"url": {
"type": "string",
"format": "uri",
"description": "Full GitHub repo URL e.g. https://github.com/owner/repo"
}
},
"additionalProperties": false
}
extract_gov_landscape
extract_gov_landscape
Composite government intelligence: federal contract awards (USASpending) + dev community awareness (HN) + GitHub repo activity + product release velocity (changelog). 4-source unified report.
extract_gov_landscape(query: string, github_url?: string)
// inputSchema
{
"type": "object",
"$schema": "http://json-schema.org/draft-07/schema#",
"required": [
"query"
],
"properties": {
"query": {
"type": "string",
"description": "Company name, keyword, or NAICS code"
},
"github_url": {
"type": "string",
"description": "Optional GitHub repo URL for the company"
}
},
"additionalProperties": false
}
extract_govcontracts
extract_govcontracts
US federal contract awards from USASpending.gov. Search by company name (e.g. 'Palantir'), keyword, or NAICS code. Returns amounts, dates, agencies.
extract_govcontracts(url: string)
// inputSchema
{
"type": "object",
"$schema": "http://json-schema.org/draft-07/schema#",
"required": [
"url"
],
"properties": {
"url": {
"type": "string",
"description": "Company name, keyword, or NAICS code"
}
},
"additionalProperties": false
}
extract_hackernews
extract_hackernews
Extract top stories or search results from Hacker News. The url field accepts an HN/Algolia URL or a plain search query.
extract_hackernews(url: string)
// inputSchema
{
"type": "object",
"$schema": "http://json-schema.org/draft-07/schema#",
"required": [
"url"
],
"properties": {
"url": {
"type": "string",
"minLength": 1,
"description": "HN URL e.g. https://news.ycombinator.com/news, Algolia API URL, or search query e.g. 'browser agents'"
}
},
"additionalProperties": false
}
extract_idea_landscape
extract_idea_landscape
Idea validation composite: HN pain signals + YC funded competitors + GitHub crowding + jobs market signal + npm/PyPI ecosystem + Product Hunt launches. 6 sources.
extract_idea_landscape(idea: string)
// inputSchema
{
"type": "object",
"$schema": "http://json-schema.org/draft-07/schema#",
"required": [
"idea"
],
"properties": {
"idea": {
"type": "string",
"description": "Your idea, problem space, or keyword"
}
},
"additionalProperties": false
}
extract_landscape
extract_landscape
Composite tool. Queries GitHub + HN + npm simultaneously. Returns a unified landscape report with each source's own freshness.
extract_landscape(topic: string)
// inputSchema
{
"type": "object",
"$schema": "http://json-schema.org/draft-07/schema#",
"required": [
"topic"
],
"properties": {
"topic": {
"type": "string",
"description": "Project idea or keyword e.g. 'mcp server'"
}
},
"additionalProperties": false
}
extract_producthunt
extract_producthunt
Extract recent Product Hunt launches by keyword/topic search or a PH URL. Returns name, tagline, votes, comment count, topics, and launch date per result.
extract_producthunt(url: string)
// inputSchema
{
"type": "object",
"$schema": "http://json-schema.org/draft-07/schema#",
"required": [
"url"
],
"properties": {
"url": {
"type": "string",
"description": "Search query or PH topic URL"
}
},
"additionalProperties": false
}
extract_reddit
extract_reddit
Extract recent posts from a subreddit (e.g. 'r/MachineLearning') or a Reddit search/listing URL. Returns title, subreddit, author, score, comment count, and post date per result.
extract_reddit(url: string)
// inputSchema
{
"type": "object",
"$schema": "http://json-schema.org/draft-07/schema#",
"required": [
"url"
],
"properties": {
"url": {
"type": "string",
"description": "Subreddit name e.g. 'r/MachineLearning' or search URL"
}
},
"additionalProperties": false
}
extract_scholar
extract_scholar
Extract research results (title, authors, year, snippet) from a Google Scholar search URL. Scholar exposes only the publication year, not an exact date, so freshness confidence is capped at medium.
extract_scholar(url: string)
// inputSchema
{
"type": "object",
"$schema": "http://json-schema.org/draft-07/schema#",
"required": [
"url"
],
"properties": {
"url": {
"type": "string",
"format": "uri",
"description": "Google Scholar search URL"
}
},
"additionalProperties": false
}
extract_sec_filings
extract_sec_filings
SEC 8-K filings via EDGAR full-text search. 8-K = legally mandated material event disclosures (CEO changes, M&A, breaches). Pass company name, ticker, or keyword.
extract_sec_filings(url: string)
// inputSchema
{
"type": "object",
"$schema": "http://json-schema.org/draft-07/schema#",
"required": [
"url"
],
"properties": {
"url": {
"type": "string",
"description": "Company name, ticker, or keyword"
}
},
"additionalProperties": false
}
extract_yc
extract_yc
Withdrawn in 0.5.3 pending review of source terms. Returns an error; kept so existing clients get a clear answer.
extract_yc(url: string)
// inputSchema
{
"type": "object",
"$schema": "http://json-schema.org/draft-07/schema#",
"required": [
"url"
],
"properties": {
"url": {
"type": "string",
"format": "uri",
"description": "Previously a ycombinator.com/companies URL"
}
},
"additionalProperties": false
}
package_trends
package_trends
npm and PyPI package metadata — version history, release cadence, last updated.
package_trends(packages: string)
// inputSchema
{
"type": "object",
"$schema": "http://json-schema.org/draft-07/schema#",
"required": [
"packages"
],
"properties": {
"packages": {
"type": "string",
"description": "Package name(s) e.g. 'langchain' or 'npm:zod,pypi:fastapi'"
}
},
"additionalProperties": false
}
search_jobs
search_jobs
Search for real-time job listings with freshness badges on every result. Sources: Remotive + HN Who is Hiring.
search_jobs(query: string, max_length?: number)
// inputSchema
{
"type": "object",
"$schema": "http://json-schema.org/draft-07/schema#",
"required": [
"query"
],
"properties": {
"query": {
"type": "string",
"description": "Job search query e.g. 'typescript remote'"
},
"max_length": {
"type": "number",
"default": 6000
}
},
"additionalProperties": false
}
search_repos
search_repos
Search GitHub for repositories matching a keyword. Returns top results by stars.
search_repos(query: string)
// inputSchema
{
"type": "object",
"$schema": "http://json-schema.org/draft-07/schema#",
"required": [
"query"
],
"properties": {
"query": {
"type": "string",
"description": "Search query e.g. 'mcp server typescript'"
}
},
"additionalProperties": false
}
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