FreshContext is temporal intelligence infrastructure for AI systems.
FreshContext ranks live signals by freshness, provenance, and decay-aware relevance before they reach an agent.
Core Platform
FreshContext MCP is the retrieval layer.
The core MCP server gives Claude Desktop and other agent workflows a set of live tools that return timestamped, provenance-aware context instead of undated scraped text.
Core MCP server with 21 freshness-aware tools.
Adapters cover GitHub, Hacker News, Reddit, arXiv, finance, jobs, Product Hunt, SEC filings, GDELT, government contracts, packages, and composite landscape reports.
[FRESHCONTEXT]
Source: https://example.com/source
Published: 2026-05-12T09:00:00Z
Retrieved: 2026-05-12T10:00:00Z
Confidence: high
Score: 95/100 (current)
---
Fresh, source-grounded content...
[/FRESHCONTEXT]
[FRESHCONTEXT_JSON]
{ "freshcontext": { "freshness_score": 95 } }
[/FRESHCONTEXT_JSON]
Live Products
One freshness model, multiple surfaces.
FreshContext now has a small ecosystem: the MCP server, vertical feeds, and operations reporting for the infrastructure behind them.
FreshContext MCP
Core MCP server with freshness-aware tools for Claude and agent workflows.
Fresh HN Feed
Freshness-ranked Hacker News signals powered by FreshContext scoring.
Fresh Jobs Feed
Freshness-ranked job listings from public sources, with AI/ML as the default category.
FreshContext Ops Pulse
Plain-English Cloudflare operations reports for FreshContext Workers, D1, cron, and logs.
How Freshness Works
Agents should know when a fact is fresh, old, or uncertain.
Every response preserves source provenance, source date, retrieval time, adapter confidence, and a numeric freshness score. The score is decay-aware: different sources decay at different rates because a market quote, a job listing, a research paper, and a repository are not stale on the same clock.
R(t) = R0 · e-λt
R0 is the starting relevance, t is elapsed time, and lambda is the source-specific decay constant. The envelope exposes a 0-100 freshness score; downstream agents can inspect the structured JSON block instead of guessing from prose.
Stamped
Retrieved data is wrapped in a stable FreshContext envelope.
Dated
The source's content_date is preserved separately from retrieval time.
Scored
A freshness_score gives agents a compact 0-100 temporal signal.
Structured
Machine-readable JSON travels with the human-readable context.
Install / Use
Use FreshContext MCP from Claude Desktop or the cloud endpoint.
Use the hosted Cloudflare Worker endpoint for the fastest setup, or run the npm package locally when you want stdio transport on your machine.
Open Claude Desktop config
Claude Desktop → Settings → Developer → Edit Config.
Add the remote MCP endpoint
This uses the deployed FreshContext Worker. No local Node install required.
{
"mcpServers": {
"freshcontext": {
"command": "npx",
"args": [
"mcp-remote",
"https://freshcontext-mcp.gimmanuel73.workers.dev/mcp"
]
}
}
}
Restart Claude Desktop
All 21 tools appear automatically after Claude reconnects to the MCP server.
Install from npm
npm install -g freshcontext-mcp
Add local stdio server
Edit ~/Library/Application Support/Claude/claude_desktop_config.json on macOS or your Claude config path on Linux.
{
"mcpServers": {
"freshcontext": {
"command": "freshcontext-mcp"
}
}
}
Install from npm
npm install -g freshcontext-mcp
Find the executable path
where freshcontext-mcp
Add it to Claude Desktop
Use the path returned by where freshcontext-mcp in %APPDATA%\Claude\claude_desktop_config.json.
{
"mcpServers": {
"freshcontext": {
"command": "C:\\Users\\YOUR_NAME\\AppData\\Roaming\\npm\\freshcontext-mcp.cmd"
}
}
}
MCP Tool Examples
Examples that return freshness-aware context.
These prompts become MCP tool calls, and the resulting context includes provenance, content dates, confidence, freshness_score, and structured JSON.
Use extract_hackernews to find recent discussion around browser agents.Use extract_company_landscape for Palantir with ticker PLTR.Use search_jobs to find current AI engineer roles in Europe.Use extract_idea_landscape for "AI operations monitoring".API / Live Examples
Live feeds expose FreshContext as simple HTTP surfaces.
The vertical feeds are built for direct API use, dashboards, Apify actors, and scheduled downstream agents.
Fresh HN Feed
curl "https://fresh-hn-feed.gimmanuel73.workers.dev/v1/hn/feed?limit=10"
Fresh Jobs Feed
curl "https://fresh-jobs-feed.gimmanuel73.workers.dev/v1/jobs/feed?category=ai&limit=10"
FreshContext MCP Health
curl "https://freshcontext-mcp.gimmanuel73.workers.dev/health"
Marketplace
Freshness-aware feeds are moving into agent marketplaces.
Fresh HN Feed Actor
Run freshness-ranked Hacker News collection from Apify. Private actor deployed; public listing pending.
Fresh Jobs Feed Actor
Run freshness-ranked job collection from Apify. Apify listing coming soon.
Roadmap
Short roadmap, focused on measurable signal quality.
Research Resurgence Tracker
Detect papers and topics becoming newly relevant again.
Trend Half-Life API
Expose source-specific decay estimates for external agents.
Signal Digest Agent
Push compact daily digests when high-value signals cross a threshold.
GitHub Release Intelligence Feed
Rank release notes by recency, velocity, and operational relevance.