DepScope

Package intelligence MCP for AI agents — 22 tools, 19 ecosystems, AGPL SDK, free.

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What it can do

    What data it sees

    Do you need an account

    No: the server works without sign-in

    Package intelligence MCP for AI agents — 22 tools, 19 ecosystems, AGPL SDK, free.

    How to connect

    How to connect DepScope to Claude

    The server address to paste into Claude settings:

    https://mcp.depscope.dev/mcp

    1. Open Claude (claude.ai or the desktop app).
    2. Go to Settings → Connectors.
    3. Click Add custom connector.
    4. Paste the server address copied below into Remote MCP server URL and click Add.
    5. In a chat, click + → Connectors and switch the new connector on.

    Custom connectors are available on Free, Pro, Max, Team and Enterprise plans (Free is limited to one). On Team and Enterprise an organization Owner adds the connector first under Organization settings → Connectors.

    Authorization

    After you click Add, a sign-in window for the service opens. Sign in with your own account and approve access. Claude never sees your password.

    How to connect DepScope to ChatGPT

    The server address to paste into ChatGPT settings:

    https://mcp.depscope.dev/mcp

    1. Open ChatGPT in a browser (chatgpt.com). A Plus, Pro, Business, Enterprise or Edu plan is required.
    2. Turn on developer mode once: Settings → Apps → Advanced settings → Developer mode.
    3. Open Settings → Connectors and click Create.
    4. Fill in the form: Name (anything), Description (one line about what the service does), MCP server URL (copy it below).
    5. Under Authentication choose OAuth if the service requires sign-in, otherwise None. Click Create.
    6. In a new chat open + → Apps/Connectors and enable the connector.

    OpenAI has renamed this section before (Connectors → Apps/Plugins). If the label differs, search settings for "developer mode". On Business/Enterprise workspaces an admin must allow custom connectors first.

    Authorization

    On first use ChatGPT opens the service's sign-in window. Sign in and approve access.

    How to connect DepScope to Cursor

    The server address to paste into Cursor settings:

    https://mcp.depscope.dev/mcp

    Fastest: click Open in Cursor below and confirm the prompt.

    Manually:

    1. In Cursor open Settings → Cursor Settings → MCP and click Add new global MCP server.
    2. Paste the JSON copied below into ~/.cursor/mcp.json (per project: .cursor/mcp.json in the repo root).
    3. Save the file. The server appears in the MCP list; authorize it there if asked.

    Authorization

    If the service needs sign-in, an authorize button appears next to the server in the MCP list.

    Server tool list (22)

    Raw names from tools/list. Only developers need these.

    check_maliciousSupply-chain malware check against OpenSSF/OSV. USE WHEN: about to suggest install of an unvetted/unfamiliar package; name came from a blog/tutorial. Call BEFORE check_package for untrusted pkgs. RETURNS: {is_malicious, threat_tier, source}.
    check_typosquatTyposquat detector. USE WHEN: name differs from a well-known package by 1-2 chars (`lodsh`, `reqeusts`); copy-paste from unreliable source; downloads near zero but name looks familiar. RETURNS: {is_typosquat, likely_target, confidence}.
    check_bulkFast pre-flight filter for a batch of (ecosystem, package) pairs. DB-only, <100ms for 100 items. USE WHEN: about to emit `npm install a b c …` or `pip install a b c …` — catches hallucinated names, stdlib, typos, and known-bad in ONE call. NOT a dep-tree audit (use scan_project for that). RETURNS: per-item {status: exists|stdlib|malicious|typosquat_suspect|historical_incident|unknown}.
    package_existsBoolean registry existence check. USE WHEN: about to emit a package name in an install command but unsure it exists; verifying a name generated from training data. RETURNS: {exists}.
    get_latest_versionLatest published version + deprecation flag — the cheapest call. USE WHEN: only a version string matters (pinning a dep, answering 'what version of X'). If you also need health/vulns use check_package. RETURNS: {latest, deprecated, published_at}.
    get_health_scoreSingle 0-100 health score — cheapest go/no-go gate (>=70 safe). USE WHEN: CI gating or pkg already screened for malware/typos. NOT a first screen — run check_malicious + check_typosquat first. For a verbal verdict use get_package_prompt. RETURNS: {score, verdict}.
    install_commandCanonical install command(s) across every package manager of the ecosystem (npm/pnpm/yarn/bun, pip/uv/poetry, cargo, go, composer, maven+gradle, nuget, …). USE WHEN: emitting an install line and you want correct flags. RETURNS: {primary, variants[]}.
    get_package_promptLLM-optimised package brief — plain text ~300 tokens (~75% cheaper than JSON). Verdict (SAFE/AVOID/URGENT/MALICIOUS) + health + vulns + alternatives + maintainer alerts. USE WHEN: you want to reason over a package and drop the output directly in context; 'is X safe'. PREFER THIS over check_package in 95% of LLM cases. RETURNS: plain-text brief.
    check_packageFull machine-readable JSON report (~2k tokens). USE WHEN: you need to programmatically parse specific fields (CI gating, UI, sub-field extraction). Otherwise prefer get_package_prompt. RETURNS: {package, health:{score}, vulnerabilities[], latest, deprecated, maintainers, recommendation}.
    get_vulnerabilitiesCVE/OSV advisories affecting the latest (or specified) version. USE WHEN: security-sensitive project; user asks 'any CVEs in X'; you already know the pkg exists. RETURNS: {vulnerability_count, vulnerabilities[]: {id, severity, cvss, fixed_in}}.
    find_alternativesCurated replacements for deprecated/unhealthy packages, including stdlib built-ins (e.g. `fs.rm` for rimraf). USE WHEN: pkg flagged AVOID/URGENT; 'what to use instead of X'; before guessing a replacement name. RETURNS: {alternatives[]: {name, reason, is_stdlib}}.
    get_migration_pathPrescriptive migration plan between DIFFERENT packages — rationale + literal code diff + breaking changes + effort minutes. USE WHEN: replacing `request`→`axios`, `moment`→`dayjs`, `flask`→`fastapi`, etc.; both endpoints known. RETURNS: {rationale, diff, breaking_changes[], estimated_minutes}.
    get_breaking_changesBreaking changes between two majors of the SAME package (`next@14`→`15`). USE WHEN: user is bumping a major; before recommending a major upgrade. Different from get_migration_path (same pkg vs. different pkg). RETURNS: {breaking_changes[]: {area, description, hint}}.
    pin_safeHighest version below the chosen CVE severity tier, respecting a semver constraint. USE WHEN: writing a package.json/requirements.txt line; resolving dependabot by lowest-risk patched version. RETURNS: {recommended_version, walk_log[]}.
    scan_projectAudit a project's dependencies in one shot. Returns a single-sentence `verdict` (e.g. "DO NOT INSTALL — 1 hallucinated: fastapi-turbo") that an agent can paste into its reply, plus per-package health/vulns/recommendation. Detects hallucinated packages, deprecated, typosquats, critical vulnerabilities. Accepts EITHER {ecosystem, packages:[name@ver, …]} (up to 100, returns JSON) OR {packages:[{ecosystem, package}, …]} (up to 50, mixed ecosystems, returns text brief). USE WHEN: user pastes package.json/requirements.txt/Cargo.toml; agent generated install command; 'is my stack OK'. RETURNS: JSON with `verdict`, `project_risk`, `summary.hallucinated_packages`, `summary.deprecated_packages`, per-package health.
    compare_packagesSide-by-side comparison (health, vulns, downloads, maintainers, last release) of 2-10 packages in the same ecosystem. USE WHEN: 'X vs Y' / 'should I pick X or Y'. RETURNS: table-shaped JSON, one row per package.
    check_compatibilityIs this specific multi-package version combo verified to work together? USE WHEN: pinning a stack (next@15 + react@19 + node@22); before recommending a version matrix. RETURNS: {compatible, conflicts[], notes}.
    resolve_errorMap error OR free-text query to a verified fix. USE WHEN: user pastes a concrete error/stack (ENOENT, ImportError, build failure) — pass `error`. OR user describes a symptom ('webpack slow', 'pip stuck') — pass `query`. Always prefer this over guessing a fix. RETURNS: exact-match {status, solution, confidence, source_url} or search results [{title, summary, source_url}].
    get_known_bugsNon-CVE known bugs for a specific package version. USE WHEN: unexpected behavior that is NOT a security issue; a pinned version misbehaves. RETURNS: {bugs[]: {title, fixed_in, workaround}}.
    get_trust_signalsOne-call aggregate of ALL non-CVE supply-chain trust signals: maintainer trust (bus factor, ownership changes), OpenSSF Scorecard, quality (criticality, release velocity, publish security), and SLSA/Sigstore provenance. USE WHEN: deep-vetting a package beyond CVEs (hardened/regulated env, SBOM/compliance, small-pkg ownership review, choosing between healthy candidates). Runs 4 backend endpoints in parallel. RETURNS: {maintainer, scorecard, quality, provenance} — each may be null if its backend call failed.
    get_trendingLive trending packages with rank-delta and weekly growth %. USE WHEN: 'what is rising in npm/PyPI/Cargo right now'; recommendation not biased by training-data cutoff. RETURNS: {items[]: {name, rank, rank_delta, weekly_growth_pct}}.
    contact_depscopeInbound ticket: bug/listing/security/anomaly/partnership. USE WHEN: reporting wrong data (`bug`), requesting a new pkg/ecosystem index (`listing`), disclosing a DepScope security issue (`security`), flagging a concrete mismatch in another tool's output vs. authoritative source (`anomaly` — provide tool_called+observed+expected), or partnership/press (`partnership`). RETURNS: {ticket_id} or {anomaly_id}.