freshcontext-mcp
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from $50.00 / 1,000 results
freshcontext-mcp
13 MCP tools. No API keys. Every result timestamped with a freshness score. GitHub, HN, Reddit, arXiv, YC, Product Hunt, finance & more — plus two unique tools: extract_changelog and extract_govcontracts. Deployed on Cloudflare's global edge.
Pricing
from $50.00 / 1,000 results
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Immanuel Gabriel
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2 days ago
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I asked Claude to help me find a job. It gave me a list of openings. I applied to three of them. Two didn't exist anymore. One had been closed for two years.
Claude had no idea. It presented everything with the same confidence.
That's the problem freshcontext fixes.
What it does
Every MCP server returns data. freshcontext returns data plus when it was retrieved and how confident that date is — wrapped in a FreshContext envelope:
[FRESHCONTEXT]Source: https://github.com/owner/repoPublished: 2024-11-03Retrieved: 2026-03-05T09:19:00ZConfidence: high---... content ...[/FRESHCONTEXT]
Claude now knows the difference between something from this morning and something from two years ago. You do too.
19 tools. No API keys.
Intelligence
| Tool | What it gets you |
|---|---|
extract_github | README, stars, forks, language, topics, last commit |
extract_hackernews | Top stories or search results with scores and timestamps |
extract_scholar | Research papers — titles, authors, years, snippets |
extract_arxiv | arXiv papers via official API — more reliable than Scholar |
extract_reddit | Posts and community sentiment from any subreddit |
Competitive research
| Tool | What it gets you |
|---|---|
extract_yc | YC company listings by keyword — who's funded in your space |
extract_producthunt | Recent launches by topic |
search_repos | GitHub repos ranked by stars with activity signals |
package_trends | npm and PyPI metadata — version history, release cadence |
Market data
| Tool | What it gets you |
|---|---|
extract_finance | Live stock data — price, market cap, P/E, 52w range. Up to 5 tickers. |
search_jobs | Remote job listings from Remotive + HN "Who is Hiring" — every listing dated |
Composites — multiple sources, one call
| Tool | Sources | What it gets you |
|---|---|---|
extract_landscape | 6 | YC + GitHub + HN + Reddit + Product Hunt + npm in parallel |
extract_gov_landscape | 4 | Gov contracts + HN + GitHub repos + changelog |
extract_finance_landscape | 5 | Finance + HN + Reddit + GitHub + changelog |
extract_company_landscape | 5 | The full picture on any company — see below |
Unique — not available in any other MCP server
| Tool | Source | What it gets you |
|---|---|---|
extract_changelog | GitHub Releases API / npm / auto-discover | Update history from any repo, package, or website |
extract_govcontracts | USASpending.gov | US federal contract awards — company, amount, agency, period |
extract_sec_filings | SEC EDGAR | 8-K filings — legally mandated material event disclosures |
extract_gdelt | GDELT Project | Global news intelligence — 100+ languages, every country, 15-min updates |
extract_gebiz | data.gov.sg | Singapore Government procurement tenders — open dataset, no auth |
extract_company_landscape
The most complete single-call company analysis available in any MCP server. Five sources fired in parallel:
- SEC EDGAR — what did they legally just disclose (8-K filings)
- USASpending.gov — who is giving them government money
- GDELT — what is global news saying right now
- Changelog — are they actually shipping product
- Yahoo Finance — what is the market pricing in
Use extract_company_landscape with company "Palantir" and ticker "PLTR"
Real output from March 26, 2026:
Q4 2025: Revenue $1.407B (+70% YoY). US commercial +137%. Rule of 40 score: 127%. Federal contracts: $292.7M Army Maven Smart System · $252.5M CDAO · $145M ICE · $130M Air Force · more SEC filing: Q4 earnings 8-K filed Feb 3, 2026 — GAAP net income $609M, 43% margin GDELT: ICE/Medicaid data controversy, UK MoD security warning, NHS opposition — all timestamped PLTR: ~$154–157 · Market cap ~$370B · P/E 244x · 52w range $66 → $207
Bloomberg Terminal doesn't read commit history as a company health signal. This does.
Quick Start
Option A — Cloud (no install)
Add to your Claude Desktop config and restart:
Mac: ~/Library/Application Support/Claude/claude_desktop_config.json
Windows: %APPDATA%\Claude\claude_desktop_config.json
{"mcpServers": {"freshcontext": {"command": "npx","args": ["-y", "mcp-remote", "https://freshcontext-mcp.gimmanuel73.workers.dev/mcp"]}}}
Restart Claude. Done.
Prefer a guided setup? Visit freshcontext-site.pages.dev — 3 steps, no terminal.
Option B — Local (full Playwright)
Requires: Node.js 18+ (nodejs.org)
git clone https://github.com/PrinceGabriel-lgtm/freshcontext-mcpcd freshcontext-mcpnpm installnpx playwright install chromiumnpm run build
Add to Claude Desktop config:
Mac:
{"mcpServers": {"freshcontext": {"command": "node","args": ["/Users/YOUR_USERNAME/path/to/freshcontext-mcp/dist/server.js"]}}}
Windows:
{"mcpServers": {"freshcontext": {"command": "node","args": ["C:\\Users\\YOUR_USERNAME\\path\\to\\freshcontext-mcp\\dist\\server.js"]}}}
Troubleshooting (Mac)
"command not found: node" — Use the full path:
$which node # copy this output, replace "node" in config
Config file doesn't exist — Create it:
mkdir -p ~/Library/Application\ Support/Claudetouch ~/Library/Application\ Support/Claude/claude_desktop_config.json
Usage examples
Is anyone already building what you're building?
Use extract_landscape with topic "cashflow prediction saas"
Returns who's funded, what's trending, what repos exist, what packages are moving — all timestamped.
Full company intelligence in one call:
Use extract_company_landscape with company "Palantir" and ticker "PLTR"
SEC filings + federal contracts + global news + changelog + market data. The complete picture.
What's Singapore's government procuring right now?
Use extract_gebiz with url "artificial intelligence"
Returns live tenders from the Ministry of Finance open dataset — agency, amount, closing date, all timestamped.
Did that company just disclose something material?
Use extract_sec_filings with url "Palantir Technologies"
8-K filings are legally mandated within 4 business days of any material event — CEO change, acquisition, breach, major contract.
What is global news saying about a company?
Use extract_gdelt with url "Palantir"
100+ languages, every country, updated every 15 minutes. Surfaces what Western sources miss.
What's the community actually saying right now?
Use extract_reddit on r/MachineLearningUse extract_hackernews to search "mcp server 2026"
Is this dependency still actively maintained?
Use extract_changelog with url "https://github.com/org/repo"
Returns the last 8 releases with exact dates. If the last release was 18 months ago, you'll know before you pin the version.
Which companies just won government contracts in AI?
Use extract_govcontracts with url "artificial intelligence"
Largest recent federal contract awards matching that keyword — company, amount, agency, award date.
How freshness works
Most AI tools retrieve data silently. No timestamp, no signal, no way for the agent to know how old it is.
freshcontext treats retrieval time as first-class metadata. Every adapter returns:
retrieved_at— exact ISO timestamp of the fetchcontent_date— best estimate of when the content was originally publishedfreshness_confidence—high,medium, orlowbased on signal qualityfreshness_score— numeric 0–100 score with domain-specific decay ratesadapter— which source the data came from
When confidence is high, the date came from a structured field (API, metadata). When it's medium or low, freshcontext tells you why.
The FreshContext Specification v1.0 is published as an open standard under MIT license. Any tool or agent that wraps retrieved data in the [FRESHCONTEXT] envelope is FreshContext-compatible.
→ ./FRESHCONTEXT_SPEC.md
Security
- Input sanitization and domain allowlists on all adapters
- SSRF prevention (blocked private IP ranges)
- KV-backed global rate limiting: 60 req/min per IP across all edge nodes
- No credentials required — all public data sources
Roadmap
- GitHub, HN, Scholar, YC, Reddit, Product Hunt, Finance, arXiv, Jobs adapters
-
extract_landscape— 6-source composite tool -
extract_changelog— update cadence from any repo, package, or website -
extract_govcontracts— US federal contract intelligence via USASpending.gov -
extract_sec_filings— SEC EDGAR 8-K material event filings -
extract_gdelt— GDELT global news intelligence (100+ languages) -
extract_gebiz— Singapore Government procurement via data.gov.sg -
extract_gov_landscape— gov contracts + HN + GitHub + changelog composite -
extract_finance_landscape— finance + HN + Reddit + GitHub + changelog composite -
extract_company_landscape— 5-source company intelligence composite -
freshness_scorenumeric metric (0–100) with domain-specific decay rates - Cloudflare Workers deployment — global edge with KV caching
- D1 database — 18 watched queries running on 6-hour cron
- Listed on official MCP Registry
- Listed on Apify Store
- FreshContext Specification v1.0 published
- GitHub Actions CI/CD — auto-publish to npm on every push
- GKG upgrade for
extract_gdelt— tone scores, goldstein scale, event codes - TTL-based caching layer
- Dashboard — React frontend for the D1 intelligence pipeline
- Synthesis endpoint —
/briefing/nowAI-generated intelligence briefings
Contributing
PRs welcome. New adapters are the highest-value contribution — see src/adapters/ for the pattern and FRESHCONTEXT_SPEC.md for the contract any adapter must fulfill.
License
MIT
Built by Prince Gabriel — Grootfontein, Namibia 🇳🇦 "The work isn't gone. It's just waiting to be continued."


