mcp server
DepScope
Package intelligence MCP for AI agents — 22 tools, 19 ecosystems, AGPL SDK, free.
Description as published by the maintainer. Source
- version 0.9.24
- slowing
slowing — Most recent push to the repository was 2026-05-05.
Signals
These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.
| Signal | Value | What it measures | Window | Observed | Source |
|---|---|---|---|---|---|
| GitHub stars | 0 | Number of GitHub accounts that bookmarked this repository since it was created. It is a bookmark count, not installs, not active users and not quality. | cumulative, all time | GitHub | |
| Last commit | 2026-05-05 | Date of the most recent push to any branch. This is the strongest cheap indicator of whether the project is still maintained. | point in time | GitHub | |
| Open issues | 1 | Open issues plus open pull requests, as GitHub counts them together. A high number can mean an active project or an abandoned one. | as of fetch | GitHub | |
| Package downloads | 71 downloads | Package downloads from the npm registry in this window. Includes continuous integration runs, mirrors and automated installs, so it overstates the number of human users. | 2026-07-30 to 2026-08-05 | npm | |
| Latest published version | 0.9.24 | Latest version string the maintainer published to the registry. | as of fetch | Model Context Protocol | |
| Registry record last updated | 2026-05-05 | When the registry record was last updated by its maintainer. | point in time | Model Context Protocol | |
| First listed in the MCP Registry | 2026-05-05 | Date this server was first published to the official MCP Registry. Not a usage or quality measure. | point in time | Model Context Protocol | |
| repository status | active | The repository exists on GitHub and is not archived. This says nothing about how recently it was worked on. | as of fetch | GitHub |
Where to get it
Related, by what their authors tagged them
-
io.github.alisaitteke/npm-mcp
— last commit 2026-01-29, shares npm, package-manager
MCP server for npm package management, security analysis, and compatibility checking
-
Draugr
— last commit 2026-08-06, shares security, supply-chain-security, vulnerability-scanner
Security scanning for AI agents: SAST, SCA, secrets, IaC, DAST, ranked by real risk.
-
io.github.DigiCatalyst-Systems/dep-diff-mcp
— last commit 2026-04-25, shares npm, pypi, security
Translates a lockfile diff into a human-readable upgrade plan for npm and PyPI.
-
com.datakoot/package-intel-mcp
— last commit 2026-08-02, shares npm, pypi
npm, PyPI & crates.io intel for AI agents: versions, popularity, deps, health. No API keys.
-
pkgxray
— last commit 2026-08-06, shares npm, supply-chain-security
Pre-install security scans for npm packages, MCP servers, and AI agents with cited verdict evidence.
-
Compuute MCP Security Scanner
— last commit 2026-07-03, shares security, vulnerability-scanner
Scan any public GitHub MCP-server repo for security issues. 37 MCP-specific L1 rules, 8 languages.
-
TridentChain Security
— last commit 2026-07-29, shares security, vulnerability-scanner
Local supply-chain CVE scanner via OSV/NVD. Scans deps and IDE extensions. No upload.
-
io.github.amitsingh-24/pixlint
— last commit 2026-07-27, shares pypi
Lint, curate & prepare computer-vision datasets from your AI assistant — MCP server, 67 tools
-
Bawbel Scanner
— last commit 2026-05-23, shares vulnerability-scanner
Scan MCP servers and skill files for AVE vulnerabilities. Conformance scoring and threat intel.
-
Bawbel Scanner
— last commit 2026-07-05, shares vulnerability-scanner
Security scanner for MCP servers and skill files. Detects AVE vulnerabilities before production.
These share tags the maintainers applied themselves, such as npm, package-manager, security, supply-chain-security. Common tags like "mcp" or "ai" are ignored for this: agreeing with six hundred other projects is not a similarity.
This is not a recommendation and not a test result. It is a map of what the authors said their work is about.
How the author describes it
Topics the maintainer set on GitHub: ai-agents, cargo, chatgpt, claude, cursor, llm, mcp, mcp-server, model-context-protocol, npm, package-manager, pypi, security, slopsquatting, supply-chain-security, vulnerability-scanner, windsurf.
Bring your own setup
We take apart real AI setups every week and show what broke, what cost too much, and what the trace actually said. If you run agents on real work, that is where the useful conversation is.
Join ZBS AI Practice Lab