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    Enables AI assistants to run code in 24 programming languages on HackerEarth's sandboxed servers and read the printed output or errors, without installing local toolchains. It also lists supported languages with exact identifiers for use when submitting code.
    2
    MIT
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    Screen-reader navigation cost analyzer. Measures how hard it is for assistive-technology users to discover, reach, and operate interactive targets on the web.
    9
    64 npm
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    Apache 2.0
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    A local-first MCP server that scores your codebase's Build Readiness by reading code and running tests on your machine, outputting a diligence-grade score and risk register without uploading your source.
    5
    72 npm
    Apache 2.0
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    A stdio MCP server that audits other MCP servers over the live protocol. It connects to any MCP target (stdio or HTTP), lints every tool's schema for agent-usability, then actually calls the tools with deliberately broken inputs to see how the server handles them, and returns a 0–100 conformance score with a per-dimension breakdown rendered as Markdown.
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    14 npm
    6
    MIT
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    Runs a regular expression on real engines — JavaScript (V8), Python (CPython re), PCRE2 and RE2 — reporting each engine's own compile errors with positions, every match with its groups and named groups, replacement results, and where the engines disagree. It also detects catastrophic backtracking (ReDoS), naming the at-risk part of the pattern, generating an attack string, and timing how long each engine actually takes on it.
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    MIT
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    Lets an MCP client query SQLite databases through validated, forced read-only, row-capped, time-limited and logged operations, so AI agents can explore data without risking writes or runaway queries. It also ships an eval harness that measures how accurately a model answers benchmark questions via text-to-SQL through the server.
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    MIT
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    Enables AI assistants to interact with TrafficMorph for load-testing and CI-failure triage, including run management, profile lifecycle, and domain verification through natural language.
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    Apache 2.0
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    Free JSON Schema validation, JSON to TypeScript, CSV to JSON, JSON repair and JSON to CSV for AI agents. Hosted MCP plus local STDIO. Connect once with a scoped key; enforce tool allowlists and quotas, inspect request IDs. Runnable repair → validate → CSV workflow. Bounded OpenAPI and webhook checks. No LLM calls or payments. Setup: invokeport.com/agents.
    3
    51 npm
    MIT
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    Enables read-only accessibility snapshots of active third-party iOS keyboard extensions in Simulator, returning JSON with absolute logical coordinates for use by automation tools.
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    21 PyPI
    MIT
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    Enables AI agents to formally verify constant-time, masking, and patch completeness properties of Verilog hardware designs, providing concrete leakage signals and next-step guidance.
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    Apache 2.0
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    Enables LLMs and agents to check their own work by calling tools instead of trusting assertions, covering symbolic math identities, sandboxed Python execution, JSON-Schema validation, dimensional analysis, and regex testing. Runs over stdio or streamable HTTP for use in Claude Desktop and remote gateway deployments.
    5
    MIT
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    An MCP server that enables AI agents to drive Zephyr for Jira (Server/Data Center) test management via ZAPI. It exposes operations for test cycles, folders, executions, test steps, step results, and ZQL search over stdio for use with any MCP client.
    40
    1
    MIT
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    Enables AI agents to query synthetic packaged-coffee pricing data for elasticity estimates, price-change simulations, guardrail checks, price-ladder validation, and competitor positioning while logging read-only tool calls. It also includes evaluation tooling for grading whether agents use those pricing tools correctly and ground their answers in tool outputs.
    6
    MIT
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    Enables agents to calculate how many evaluation test cases are needed to trust model comparisons, find the smallest detectable accuracy gap, and assess paired or unpaired results using McNemar and two-proportion statistical tests.
    4
    MIT
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    Local bug-reproduction video analysis tool that processes bug recordings frame-by-frame, producing a structured Bug Context Bundle, and exposes this capability over MCP for use by coding agents like VS Code and Claude.
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    Apache 2.0
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    Enables Claude to generate executable test cases from decision tables in CSV, JSON, or Markdown formats. Provides intelligent test planning guidance and generates Playwright/API test code with TypeScript support.
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    MIT
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    Enables an agent to drive a real Ragnarok Online client session against a local rAthena server, allowing it to log in, walk, talk to NPCs, and fight in order to test server content end to end.
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    Enables AI clients to drive a UI-testing toolbox with 35 tools, including a headless Playwright runner, live Chromium browser with screenshots, test management, and read-only database queries, all through the Model Context Protocol.
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    12 npm
    MIT
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    Enables coding agents to use a real debugger (Python via debugpy) for launching, attaching, setting breakpoints, stepping through code, inspecting stack frames, and evaluating expressions through MCP tools.
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    MIT
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    An MCP server for Allure TestOps that enables AI agents to manage test cases, defects, test plans, and other test management entities with clear, easy-to-use tools and helpful error guidance.
    70
    517 PyPI
    8
    Apache 2.0
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    Exposes a live Chrome browser to any MCP client through a single local endpoint, enabling real-tab control, DOM interaction, cookies and session use, network/console capture, PDF export, and CDP-powered debugging.
    28
    MIT
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    Enables deterministic security testing of AI agents that use tools by serving synthetic MCP environments with poisoned data, fake secrets, and privileged actions. Records agent tool calls and evaluates security invariants (e.g., canary leaks, forbidden access, approval binding) without an LLM judge or real systems.
    8
    MIT
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    A Model Context Protocol server for Hackle API providing tools and resources for querying A/B Test data.
    19
    43 npm
    3
    MIT