"Security testing and vulnerability assessment of MCP Server execution functions" matching MCP servers:

MCP server to manage and deploy Scaleway Serverless Functions, enabling creation, listing, updating, deleting, downloading, and logging of functions through natural language.

CNN's Fear & Greed index for the US stock market: current score and rating, the seven component indicators, and about a year of daily history. Go standard library only, no API key required.

Compare service-grant changes, tool alias origins, and saved MCP tool definitions with Gooo rules. Reports preserve incomplete-capture uncertainty and source bindings. No grants are applied and no compared tools are invoked.

Send email, find out why an email failed, set up sending domains, and manage templates, contacts, lists and campaigns in your AhaSend account.

Enables agent tools to validate queries, assess token costs, and extract structured datasets from unstructured text using multiple LLM providers.

MCP server that enables AI assistants to drive systematic literature review workflows, including screening, downloading, converting, and reviewing papers through natural language conversation.

KSM MCP is a Model Context Protocol (MCP) server that acts as a secure intermediary between AI language models (like Claude) and Keeper Secrets Manager (KSM). It allows AI agents to manage your KSM secrets-such as listing, creating, retrieving, and deleting records and folders-while protecting your

CVSS Calculator MCP is a lightweight MCP server that enables AI agents to accurately calculate CVSS Base Scores and severity ratings. Supports CVSS 2.0, 3.0, 3.1, and 4.0 for vulnerability assessment, penetration testing, bug bounty hunting, and security reporting.

AI-native security testing platform with native MCP support, enabling automated penetration testing, vulnerability discovery, and attack-chain analysis through conversational commands.

A comprehensive MCP tools collection providing filesystem operations, command execution, system tools, and more, with cross-platform support and strong security features.

Connects AI assistants to VulnCheck vulnerability intelligence for querying CVEs, exploits, advisories, and vulnerable packages via natural language.

Serves offline document validation and evaluation operations of the Judgment Pack Specification to MCP clients over stdio, enabling agents to validate and evaluate JPS documents as tool calls. Supports conformance validation, experimental evaluation with disposition and error classes, and corpus testing.

An MCP server for semantic code search & navigation that helps AI agents work efficiently without burning through costly tokens. Instead of reading entire files, agents can search conceptually and jump directly to the specific functions, classes, and code chunks they need.

Description: Introduce Beelzebub, an MCP‑based honeypot framework that enables creating decoy tools to detect prompt injection and malicious agent behavior. Motivation: Strengthen the security of LLM workflows by adding a non‑intrusive detection mechanism.

A local MCP server that indexes codebases into Neo4j and provides tools for code analysis, dependency visualization, and impact assessment.

Enables AI coding assistants and IDEs to run authorized offensive-security workflows over Model Context Protocol, including scope validation, reconnaissance, HTTP probing, secret and vulnerability scanning, playbook lookup, evidence management, and report generation.

Perform DNS lookups, WHOIS queries, connectivity testing, TLS certificate analysis, HTTP endpoint monitoring, and hostname resolution, all from your trusty AI.

An MCP server for searching, inspecting, and evaluating NPM packages through health scoring and license risk assessments. It provides comprehensive package analysis including maintenance status, popularity trends, and security vulnerability reports to help users make informed dependency decisions.

Enables AI agents to orchestrate 100+ security tools over MCP for authorized penetration testing, including recon, scanning, exploitation, attack-chain planning, and knowledge-base retrieval.

Enables running ephemeral Kubernetes Jobs/pods with caller-chosen images and commands, returning results and artifacts while automating cleanup. Supports synchronous and background execution, repository cloning, and strict security controls.

MCP server that provides AI coding assistants with access to call graphs, data flows, and security analysis for multi-file vulnerability detection.

Provides security checks for AI agents, including secret scanning, CVE lookup, and dependency vulnerability scanning, all running locally except for CVE lookups.

First-party MCP server and CLI for Xcode and iOS Simulator automation. Enables control of Xcode and iOS Simulator via MCP tools for tasks like building, testing, and automation.

Go-based SBOM, vulnerability, and secret scanner with MCP support.

MCP server for atest (api-testing), enabling natural language interaction with API testing workflows.

MCP server for querying live CISA KEV, EPSS, and enriched vulnerability feeds with full provenance. Enables natural-language access to auditable security-intelligence data from Claude Desktop and other MCP clients.

An MCP server for querying Grafana Loki directly with a discovery-first workflow — labels, values, series, and LogQL queries without requiring Grafana.

ContextLattice is an HTTP-first, MCP-compatible memory/context/task orchestrator that persists writes and returns fused recall from specialized stores with local-first defaults. Primary URL: https://contextlattice.io/ Install: https://contextlattice.io/installation.html Troubleshooting: https://contextlattice.io/troubleshooting.html

An MCP server providing web search, image search, and page scraping tools to LLMs without requiring API keys.

Fetches documents by URL, DOI, ISBN, PMID or PMCID, and reports a block as a block, never as an empty success.