MCP server

FreshContext

io.github.PrinceGabriel-lgtm/freshcontext

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

Context integrity for AI agents: evaluate freshness, confidence, provenance, and decision readiness.

Website Source

At a glance

Type

MCP server

Publisher

Not verified

Status

Working at last check

Tools

22

Token cost

About 3,269 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http freshcontext https://api.freshcontext.dev/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.freshcontext]
url = "https://api.freshcontext.dev/mcp"

Gemini CLI

{"mcpServers":{"freshcontext":{"httpUrl":"https://api.freshcontext.dev/mcp"}}}

Cursor

{"mcpServers":{"freshcontext":{"url":"https://api.freshcontext.dev/mcp"}}}

VS Code

{"servers":{"freshcontext":{"type":"http","url":"https://api.freshcontext.dev/mcp"}}}

Antigravity

agy mcp add freshcontext https://api.freshcontext.dev/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"freshcontext","server_url":"https://api.freshcontext.dev/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"freshcontext","server_url":"https://api.freshcontext.dev/mcp"}

Tools

• evaluate_context ~570 tokens
  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.
• extract_arxiv ~122 tokens
  Search arXiv for research papers via the official API. Pass a topic or full arXiv API URL. Returns titles, authors, dates, abstracts.
• extract_changelog ~119 tokens
  Update history for any product. Accepts a GitHub repo URL or an npm package name. Returns version numbers, release dates, and entries.
• extract_company_landscape ~183 tokens
  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_finance ~117 tokens
  No-key stock quote data via Stooq. Accepts comma-separated ticker symbols and returns quote/OHLC/volume observations with timestamps.
• extract_finance_landscape ~179 tokens
  Composite financial intelligence: Stooq quote data + HN sentiment + Reddit discussion + GitHub ecosystem + product changelog. 5-source unified report.
• extract_gdelt ~125 tokens
  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_gebiz ~118 tokens
  Singapore Government procurement opportunities (GeBIZ via data.gov.sg). Search by keyword, agency name, or empty for all recent tenders.
• extract_github ~122 tokens
  Extract real-time data from a GitHub repository — README, stars, forks, last commit, topics. Returns timestamped freshcontext.
• extract_gov_landscape ~160 tokens
  Composite government intelligence: federal contract awards (USASpending) + dev community awareness (HN) + GitHub repo activity + product release velocity (changelog). 4-source unified report.
• extract_govcontracts ~121 tokens
  US federal contract awards from USASpending.gov. Search by company name (e.g. 'Palantir'), keyword, or NAICS code. Returns amounts, dates, agencies.
• extract_hackernews ~135 tokens
  Extract top stories or search results from Hacker News. The url field accepts an HN/Algolia URL or a plain search query.
• extract_idea_landscape ~126 tokens
  Idea validation composite: HN pain signals + YC funded competitors + GitHub crowding + jobs market signal + npm/PyPI ecosystem + Product Hunt launches. 6 sources.
• extract_landscape ~116 tokens
  Composite tool. Queries GitHub + HN + npm simultaneously. Returns a unified landscape report with each source's own freshness.
• extract_producthunt ~120 tokens
  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_reddit ~132 tokens
  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_scholar ~134 tokens
  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_sec_filings ~123 tokens
  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_yc ~114 tokens
  Withdrawn in 0.5.3 pending review of source terms. Returns an error; kept so existing clients get a clear answer.
• package_trends ~108 tokens
  npm and PyPI package metadata — version history, release cadence, last updated.
• search_jobs ~123 tokens
  Search for real-time job listings with freshness badges on every result. Sources: Remotive + HN Who is Hiring.
• search_repos ~102 tokens
  Search GitHub for repositories matching a keyword. Returns top results by stars.

Browse

• GitHub tools
• Algolia tools
• Web scraping
• Social media
• Hiring and jobs
• GitHub and code hosting

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