Server data from the Official MCP Registry
GitHub project health, package dependency risk, trending repos, license & package comparison.
GitHub project health, package dependency risk, trending repos, license & package comparison.
Remote endpoints: streamable-http: https://oss-intel-mcp-production.up.railway.app/mcp
oss-intel-mcp is a well-structured open-source intelligence tool with proper authentication and payment gating. Code quality is good with appropriate error handling and input validation. However, there are a few notable issues: API keys are passed through REST request bodies (low security), environment variable secrets are relied upon without documented rotation guidance, and exception handling uses overly broad catch clauses. These are moderate concerns but do not indicate malicious intent or critical vulnerabilities. Supply chain analysis found 5 known vulnerabilities in dependencies (1 critical, 3 high severity).
6 files analyzed · 12 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
This plugin requests these system permissions. Most are normal for its category.
Available as Local & Remote
This plugin can run on your machine or connect to a hosted endpoint. during install.
From the project's GitHub README.
Open source intelligence for AI agents — GitHub project-health scoring, package dependency-risk analysis, trending repositories, license checks, and side-by-side package comparison.
Part of the FoundryNet Data Network. Attest your agent's open-source analysis with MINT Protocol. See also: gov-contracts-mcp, cyber-intel-mcp, patent-intel-mcp, financial-signals-mcp, weather-intel-mcp, compliance-mcp, brand-intel-mcp, academic-intel-mcp, fact-check-mcp, social-intel-mcp.
Live MCP endpoint (Streamable HTTP):
https://oss-intel-mcp-production.up.railway.app/mcp
| Tool | Price | What it does |
|---|---|---|
project_health | $0.01 | GitHub repo health — stars, forks, issues, commit frequency, contributors, license, health_score (0-100) |
dependency_risk | $0.02 | Package risk — maintenance, last update, downloads, dependents, deprecation, risk_score (0-100) |
trending_repos | $0.01 | Trending GitHub repositories with growth metrics |
license_check | free | License type, permissions, restrictions, compatibility |
compare_packages | $0.01 | Side-by-side: downloads, maintenance, dependents, risk_score |
daily_brief | $5 | Curated daily brief: top trending, notable risks, newly deprecated, biggest growth |
mint_info | free | FoundryNet Data Network + MINT Protocol |
Free tier: 25 paid-tool queries/day per agent. Then x402: the tool returns an
HTTP-402 with a Solana USDC payment memo — pay it, re-call with the same args plus
payment_tx=<signature>. An Authorization: Bearer fnet_… key bypasses the paywall.
Raw stars and download counts are noise. Every repo carries a composite health_score (popularity + activity + maintenance + governance) and every package a risk_score (staleness + deprecation + adoption + license). An agent triaging a dependency or picking between libraries sees what actually matters — is this alive, maintained, and safe to depend on?
Daily aggregation refreshes trending repos plus a watchlist of popular repos'
health and packages' risk. Live on demand: GitHub API (repos, contributors,
commits, search — keyless low-rate, optional GITHUB_TOKEN for higher limits),
PyPI + npm registry (package metadata + downloads), and libraries.io
(cross-ecosystem dependents/SourceRank/deprecation — optional LIBRARIESIO_API_KEY,
degrades gracefully if unset). Stored in a standalone Supabase project.
Smithery: @foundrynet/oss-intel · MCP registry: io.github.FoundryNet/oss-intel-mcp
{ "mcpServers": { "oss-intel": { "url": "https://oss-intel-mcp-production.up.railway.app/mcp" } } }
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