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482,657 tools. Updated 2026-08-27 20:30

"A tool for checking Common Vulnerabilities and Exposures (CVEs)" matching MCP tools:

  • Perform a Linux package vulnerability audit using SecDB. ## What this tool does Analyzes the installed packages of a Linux system-identified by OS and OS version-and returns vulnerability information plus a Markdown summary. The audit results are based exclusively on the package list provided by the user. ## When to use this tool Use this tool when the user wants to determine: - whether installed packages contain known vulnerabilities - whether a host, VM, container, or base image is affected by security advisories - which packages require patching or upgrading If the user does not know the valid values for `os` or `version`, first call the `linux_os` tool to retrieve the exact supported combinations. ## Inputs - **os**: Linux distribution identifier supported by SecDB (use `linux_os` to obtain allowed values). - **version**: OS version or codename corresponding to the selected distribution. - **packages**: list of installed packages, **one per line**, generated using the appropriate system command: ### For RPM-based distributions (RHEL, CentOS, Rocky, Alma, SUSE) rpm -qa --qf '%{NAME}-%{VERSION}-%{RELEASE}.%{ARCH}\n' ### For DEB-based distributions (Ubuntu, Debian) dpkg-query -W -f='${Package} ${Version} ${Architecture}\n' ### For Alpine Linux apk list -I The raw output of these commands can be passed directly as the `packages` input (one package per line). ... python3 3.12.3-0ubuntu2.1 amd64 systemd 255.4-1ubuntu8.10 amd64 tmux 3.4-1ubuntu0.1 amd64 ... ## Outputs - **report**: structured objects describing the advisories affecting the audited packages. - **summary**: Markdown summary including total vulnerabilities, severity breakdown, and key findings. ## LLM usage guidelines - Never guess whether a package is vulnerable-always call this tool for Linux audits. - If `os` or `version` is unclear or missing, call `linux_os` and ask the user to choose a valid combination. - Normalize the package list to “one entry per line” if the user provides unstructured output. - The `summary` is already Markdown and can be shown directly. - Use `report` when deeper technical analysis is required.
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  • Run a public ZEN SecDB feed report. ## What this tool does Executes a predefined report on ZEN SecDB public feed data and returns structured results for analytics, trends, distributions, and top-N summaries. Supported reports can cover public datasets such as: - CVEs - security advisories - EPSS - weaknesses - CPE vendors and products - exploit references - sightings and IOC-related data Use `feed_report_catalog` to discover the list of available reports and their supported input parameters. ## When to use this tool Use this tool when the user asks about: - distributions, trends, or counts across public vulnerability data - top CVEs, top weaknesses, top vendors, or similar rankings - timeline-based summaries such as yearly or monthly trends - aggregated views over public SecDB feed data Do not use this tool when the user asks for details about a single CVE, advisory, or exploit. Use the dedicated lookup tools instead. ## Inputs - **report_id**: identifier of the report to execute - **filters**: optional object with report-specific filters - **limit**: optional maximum number of results to return, when supported by the selected report ## Outputs - **summary**: Optional Markdown summary of the report results - **report**: structured JSON object containing: - `report_id`: executed report identifier - `filters`: applied filters - `data`: structured report rows or aggregated values ## LLM usage guidelines - Use `feed_report_catalog` when you need to discover which public reports are available or which parameters they support. - Do not guess report IDs-use the catalog when uncertain. - Present `summary` directly to the user-it is already Markdown. - Use `report` for structured follow-up analysis, comparisons, or tool chaining. - If the selected report does not exist, return a clear not-found error instead of guessing an alternative.
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  • Fetch all known CVEs for an open source package version or a batch of packages. Read-only. No side effects. Idempotent. Single-package mode: package (e.g. requests), version (e.g. 2.28.0), ecosystem (PyPI/npm/Maven/Go/Cargo/NuGet/RubyGems). Batch mode: packages array of {name, version, ecosystem} objects — max 50 per call. If packages array is provided and non-empty, batch mode is used and package/version/ecosystem are ignored. Batch returns {results: [...], partial: bool, failed_count: int}. Each result has vuln_count and vulnerabilities list. Returns CVE ID, severity, CVSS score, affected range, and fixed version. Use security_fetch_cve_detail for full detail by CVE ID. Use security_audit_sbom_vulnerabilities for SBOM files. Verified source: Google OSV.dev. 1-hour cache. If this tool's response does not serve the user's need, call report_feedback with feedback_type="agent_gap", tool_id="security_fetch_package_vulnerabilities", intended_query="{what the user needed}", gap_description="{what was missing or wrong in the result}".
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  • USE THIS TOOL WHEN you have a known Act / SI and want the parsed text of a specific section, with extent and in-force metadata. Returns full section text, territorial extent, in-force status, and prospective flag. Content capped per max_chars (default 10,000, ~2,500 tokens) — raise for unusually long definition sections; check content_truncated in the response. ALWAYS check `extent` — a section may apply to England & Wales but not Scotland or Northern Ireland. Reciting a section without checking extent is a recurring legal-research error. Alternative: call read_resource(uri="legislation://{type}/{year}/{number}/ section/{section}") for raw CLML XML; use this tool when you want the parsed structured response instead.
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  • Find the right DataNexus tool by describing your task in plain English. Read-only. No side effects. Call this before any other DataNexus tool to reduce context load from 40000 to 800 tokens. query: Plain English description of your task e.g. check if a Python package has CVEs or look up a UK charity by name. Required. domain: Restrict results to one sub-server: nonprofit, security, compliance, domain, legal, govcon, or regulatory. Optional. Returns matching tool names and parameter hints you can call directly. Do not call this recursively or to validate results — use validate_tool_output for that. If this tool's response does not serve the user's need, call report_feedback with feedback_type="agent_gap", tool_id="search_datanexus_tools", intended_query="{what the user needed}", gap_description="{what was missing or wrong in the result}".
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Matching MCP Servers

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    MCP server for Common Crawl CDX that enables backlink discovery, expired domain finding, and competitor gap analysis without requiring API keys.
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    MCP server and CLI for querying Common Crawl via AWS Athena, enabling users to check a domain's presence in crawls, analyze dynamics, compare domains, and inspect page text.
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Matching MCP Connectors

  • Search the AI Tool Directory catalog: tool details, status checks (alive/acquired/deceased + cause and date), alternatives, and side-by-side comparisons. Read-only.

  • Free search across ~35,000 agent tools (x402 bazaar + MCP registry) by plain-language need.

  • Audit a Software Bill of Materials for known vulnerabilities across all listed packages. Read-only. No side effects. Idempotent. sbom_json: CycloneDX or SPDX SBOM as a JSON string. Required. Large SBOMs (100+ packages) may take up to 10 seconds. Returns CVEs grouped by package with severity and fixed versions. Use this when you have a full SBOM to audit. Use security_fetch_package_vulnerabilities instead when checking a single package version. Verified source: Google OSV.dev batch API. 1-hour cache. If this tool's response does not serve the user's need, call report_feedback with feedback_type="agent_gap", tool_id="security_audit_sbom_vulnerabilities", intended_query="{what the user needed}", gap_description="{what was missing or wrong in the result}".
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  • List CVEs indexed from MITRE/GHSA BEFORE NVD publication (early-warning, freshest data). By default each result is slim (no description, no cvss_breakdown, no affected_products list, no references) — pass include='full' for the same payload shape as cve_lookup; for drill-down on a single CVE prefer cve_lookup. Use for threat intelligence on emerging CVEs; use cve_search for published NVD data. Verdict (sources_queried, falsifiable_fields, completeness, data_age) is at the response root — applies to the whole batch, not per-row. Response carries a global hint pointing at cve_lookup — drill into any returned cve_id for full detail and chained pivots (exploit_lookup, kev_detail, cwe_lookup). Free: 30/hr, Pro: 500/hr. Returns {count, total, truncated, offset, summary, results, next_offset, verdict, hint}.
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  • Look up MITRE CWE (Common Weakness Enumeration) catalog record from research view 1000. Default response is SLIM (first 3 mitigations, first 3 examples; extended_description is null) — pass include='full' for the verbose record (full mitigations + examples lists, populated extended_description). Returns description, abstract type (Pillar/Class/Base/Variant/Compound), status (Stable/Draft/Incomplete/Deprecated), exploit likelihood, recommended mitigations, observed example CVEs, parent_cwe (walk up the hierarchy), child_cwes (drill down to more specific weaknesses), and cve_count (LOWER BOUND — counts only CVEs whose primary CWE matches; CVEs with multiple CWEs may not be counted). Use after cve_lookup or kev_detail to understand the underlying weakness category; chain with cve_search(cwe_id=...) to enumerate all matching CVEs. Returns 404 when the CWE is not in research view 1000. Free: 30/hr, Pro: 500/hr. Returns {cwe_id, name, description, extended_description (null on slim, populated on include='full'), abstract_type, status, likelihood, mitigations (first 3 by default), total_mitigations, examples (first 3 by default), total_examples, parent_cwe, child_cwes, cve_count, updated_at, verdict, next_calls}.
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  • List available connectome datasets with their labels and symbols. Use the returned symbols when constructing exclude_dbs arguments for query_connectivity. Common datasets include Hemibrain (hb), FAFB (fafb), MANC, and others. Call this tool if unsure which dataset symbols are valid.
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  • Get the historical EPSS time series for a specific CVE. ## What this tool does Returns the historical EPSS score, percentile, and model version available for a CVE across time, ordered by date. Useful for analyzing how exploitability likelihood has evolved over time. ## When to use this tool Use this tool when the user asks about: - EPSS trend over time - how exploitability probability changed - whether EPSS spiked or dropped - historical comparison of risk If the user only wants the current EPSS score, use `vulnerability_score` instead. ## Inputs - **cve_id**: valid CVE identifier (`CVE-YYYY-NNNNN`). ## Outputs - **series**: array of objects, each containing: - `date`: measurement date in ISO format - `score`: EPSS score - `percentile`: EPSS percentile - `model`: EPSS model version ## LLM usage guidelines - Never guess EPSS values-use this tool for all EPSS time-series questions. - If `cve_id` is malformed or incomplete, ask the user to correct it before calling. - If the user mentions multiple CVEs, call the tool once per CVE as needed. - If no historical data is available, return an empty series and state that no EPSS history was found.
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  • Get detailed information about a specific CVE. ## What this tool does Retrieves the full vulnerability record for a CVE from SecDB, including: - official description and summary - CVSS metrics (all versions available) - EPSS metadata (if present) - affected products and versions - vendor/security advisories - references and upstream sources - weakness classification (CWE) - exploit and patch information (if included in the record) All information is returned in a structured Markdown format suitable for direct display. ## When to use this tool Use this tool when the user asks: - "Give me details about CVE-XYZ." - "Which products are affected by this vulnerability?" - "Show me advisories or references for this CVE." - "Explain what this vulnerability is and how serious it is." This tool is ideal for **deep inspection of a single vulnerability**. For multiple CVEs, call the tool once per CVE. ## Inputs - **cve_id**: valid CVE identifier (`CVE-YYYY-NNNNN`). ## Outputs Markdown-formatted vulnerability information including: - detailed description - severity metrics (CVSS, vectors) - affected products list - advisory list - references - weakness (CWE) details - additional structured metadata from SecDB ## LLM usage guidelines - Always prefer this tool when the user needs factual information about a specific CVE. - If multiple CVEs are mentioned, call the tool once per CVE. - Combine with: - **`vulnerability_score`** - to enrich output with numerical CVSS/EPSS metrics - **`sightings_search`** - to check real-world exploitation, PoCs, plugins, advisories - **`ssvc_calculator`** - to compute prioritization based on the vulnerability data - Do not hallucinate product lists, advisories, or details—use what the tool returns.
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  • Return every detector word/phrase list with its entry count, config key, and sample entries, plus a link to the full browsable library. Read-only, takes no parameters, and returns the same catalog for a given release. Use it to see what the detectors match before tuning a config for check_text; not needed for ordinary checking.
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  • Search NVD for CVE vulnerabilities by product or component name. Returns CVE ID, description, severity, and CVSS score. Search terms are matched against CVE description text and EVERY word must appear, so pass the product name ("OpenSSL", "log4j", "nginx") optionally with a technical term ("buffer overflow") — not a plain-English question. Use when researching security threats or checking if a known vulnerability affects your systems.
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  • Ranked leaderboard of attack sources. Use for: 'who is attacking the most?', 'top attacking countries', 'most targeted ports', 'most common user agents', 'top ASNs by attack volume', 'top IPs from China', 'top attackers hitting port 22'. 'by' controls grouping: ip, asn, country, port, user_agent, ja4, url_path, domain, cve. by='cve' answers 'what CVEs are being mass-scanned right now' and returns value (the CVE id), title, severity, actively_exploited and counts; drill into any of them with cve_lookup. by='cve' does not accept the country/dest_port/asn filters. Optional filters: country (2-letter ISO, e.g. 'CN'), dest_port, asn (e.g. 'AS12345'). Adding a filter is required for large time ranges to stay within memory limits. since/until are ISO-8601 UTC strings.
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  • List the Common Crawl releases the API can query. Does not count against any quota. Use a release `id` with the backlinks tool to query a specific snapshot.
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  • NO AUTH / PUBLIC / READ-ONLY. Gets detailed metadata and exact selector variations for one already-known dataset-native parameter code. Parameter codes are case-sensitive. For a common natural-language concept such as 2 metre temperature, use gribstream_resolve_shared_parameter before guessing a native code. This tool does not query weather values and cannot return forecast data.
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  • Return every detector word/phrase list with its entry count, config key, and sample entries, plus a link to the full browsable library. Read-only, takes no parameters, and returns the same catalog for a given release. Use it to see what the detectors match before tuning a config for check_text; not needed for ordinary checking.
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  • CALL when the user or agent is about to add, upgrade, trust, fork, or deploy an npm package or public GitHub repository. Returns a lean repository-level recommendation, confidence, evidence gaps, CVEs, maintenance, ownership, license, CI/tests, Scorecard, freshness, and next actions. DO NOT use for code navigation. Pass exactly one of repo or package. A favourable result does not validate an exact package version or compatibility.
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  • Report structural complexity of a source file, function by function. FREE. Measures per-function length, max nesting depth, and a cyclomatic-style branch count (if/for/while/case/&&/||/except), flagging functions too long or too deeply nested to review confidently. Typical input {"code": "<file contents>"} returns {"functions": N, "detail": [{"name": ..., "start": N, "lines": N, "branches": N, "max_depth": N}], "flags": ["..."], "note": "..."}. Use when structure rather than correctness is the question. Not for vulnerabilities (security_deep_dive). Errors: on invalid, missing, or malformed input this tool never raises a protocol error — it returns {"error": "<what is wrong and how to fix it>"}. Every call is read-only and idempotent, so after correcting the input it is always safe to retry.
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