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

Enables AI agents to interact with the Execute.run bot API for managing Shell balances, transferring funds, and executing LLM requests. It provides tools for identity verification, transaction tracking, and performing compute tasks through the Execute.run platform.

An MCP server that exposes a legacy vulnerability database as tools for LLM clients, enabling security analysts to query vulnerabilities using natural language through six specialized tools for vendor lookup, vulnerability search, and risk analysis.

Code-aware browser testing agent — reads your codebase, understands functionality, tests every element, reports with screenshots. Works as MCP server for Cursor/Claude Code or standalone CLI.

Verifies AI agent completion claims by checking that claimed output files exist and are fresh, acting as a lightweight physical telemetry gate.

An MCP server that helps AI coordinate sequential tool calls and maintain a comprehensive journal of execution workflows, decisions, and actions.

Enables querying and analyzing a legacy, file-based vulnerability registry via MCP tools for CVE lookup, search, vendor navigation, and aggregate statistics.

Enables AI assistants to write and debug integration tests by providing live access to DOM structure and executing code directly in test environments.

Provides testing and quality assurance tools for AI agents via MCP, enabling generation of test cases, mock data, API mocks, coverage analysis, and assertions.

A lightweight, local-first MCP server for executing HTTP requests and managing API collections and environments without cloud dependencies. It enables testing APIs, handling authentication, and importing OpenAPI specifications directly within MCP-compatible workflows.

Provides tools for frontend testing including code analysis, test generation, test execution, and React component testing for Jest and Cypress frameworks.

Enables scanning IP addresses for vulnerabilities using Nmap and API-based checks, supporting both single and batch scans with detailed reports.

Provides intelligent summarization capabilities through a clean, extensible architecture. Mainly built for solving AI agents issues on big repositories, where large files can eat up the context window.

Records all MCP tool interactions in a centralized ledger, enabling developers to trace, replay, inspect, and audit AI agent workflows.

Enables security analysts and risk managers to query a legacy CVE registry via natural language, providing tools for searching vulnerabilities, retrieving details, and obtaining statistics.

An LLM-driven API testing platform exposed over MCP, enabling declarative test definition and DAG-based execution.

Provides coding agents with visibility into test health through tools for flaky test detection, test quality linting, and LLM evaluation harness, enabling them to triage failures, review test quality, and check prompt changes for regressions.

Enables agents to compute exact Uniswap v3 Q64.96 tick math, quotes, and liquidity fees, simulate MEV sandwich vulnerability, model multi-hop flashloan arbitrage profits, and project Base L2 blob gas costs. Tools are metered per call in USDC via an x402 HTTP 402 challenge settled on Base L2, so an agent can verify net profitability before executing a trade.

CP server for RAD Security, providing AI-powered security insights for Kubernetes and cloud environments. This server provides tools for querying the Rad Security API and retrieving security findings, reports, runtime data and many more.

Enables triggering GuardBee security scans via natural language, checking scan status, filtering findings by severity or ID, and obtaining AI-assisted remediation guidance.

Enables querying and analysis of a unified database of security detection rules across multiple formats, including Sigma, Splunk, Elastic, KQL, and CrowdStrike CQL.

Enables querying normalized real-world asset data through MCP tools, including listing assets, retrieving asset details, comparing yields against SOFR, and checking eligibility by jurisdiction.

Provides search and retrieval over a local database of Pathfinder 2e rules. Enables Claude Code to answer rules questions with cited, accurate answers from fetched entries.

A Model Context Protocol (MCP) server that provides testing and debugging tools for Stripe integrations, including test clock management, customer and product management, and subscription testing.

A meta-server that aggregates multiple MCP servers into a single interface, reducing token usage by 98%+ through progressive tool discovery and direct code execution that processes data between tools without consuming context window space.

Provides deterministic, standards-based calculations for data center critical power infrastructure. Enables site selection, generator sizing, UPS sizing, NFPA 110 compliance, and more via 50+ AI agents and 8 compound chains.

Detect live website vulnerabilities and security flaws in GitHub repositories using automated DAST and SAST scanning. Safeguard applications by identifying exposed secrets, insecure dependencies, and common code patterns prone to exploitation. Receive structured fix plans with precise code remediation steps to resolve identified risks and improve security posture.

MCP server for static security analysis of Android application source code.

Enables AI agents to submit npm, PyPI, Go, or Maven packages and manifests to the free OSV.dev database and receive per-package and per-advisory results with CVE mappings, CVSS scores, severities, and the versions that fix each issue. It also supports filtering by minimum severity, de-duplicating alias advisories, and machine-readable error/warning rows for CI gates and upgrade recommendations.

An MCP server that provides access to the Library of Babel, allowing users to retrieve exact page contents by address, search for text to find its location, and generate random pages.

Per-unit cost of 13 back-office tasks done by a person vs by software, in the US, Greece and Ukraine, with an official statistic behind every hourly wage. Bundled data, works offline.