"A search for the GitHub repository OrionSmithers/agent-data-pro" matching MCP servers:

Provides a stable, side-effect-free MCP tool contract that enables AI workflows to be prototyped, demoed, tested, or dry-run without connecting to databases, APIs, files, or other real data sources. It enables swapping in a real data server later without changing the AI-facing interface.

MCP server enabling Claude Code to capture screenshots of Windows applications through WSL2, allowing AI to diagnose UI errors and verify layouts.

Enables AI assistants to perform automated web testing by controlling a Chrome browser to navigate, interact with pages, capture screenshots, extract console logs, and simulate mobile devices for responsive design testing.

A validation layer for AI coding assistants that enforces explicit LLM evaluations on plans, code diffs, and tests to ensure safer and higher-quality code.

Exposes a local stdio MCP server with 12 tools for reverse-engineering work: analyzing artifacts, mapping boundaries and competing explanations, planning and running discriminating experiments, and verifying a rebuilt feature's behavior against recorded evidence. It lets an agent turn an unfamiliar target into an implemented, exercised, and provable feature inside a bounded workspace.

Exposes 11 agent-native QA tools over stdio so coding agents can discover a project, analyze risk, select the smallest relevant test set, generate and dry-run tests, triage failures, propose tiered heals, analyze flakes, generate quality reports, and evaluate release readiness. Planning and healing tools stay read-only or propose-only, while execution defaults to dry-run, keeping agent actions safe and evidence-backed.

Thin HTTP wrapper for the Generate-Data.com API, enabling data generation, schema proposal, and field type listing through MCP tools.

Enables Baldur's Gate 3 modders to look up game data across base-game and mod layers, run static lint checks on stats and progressions, test changes in a running game through the Script Extender, and export mods for Larian Toolkit/mod.io publishing. It also packs, deploys and restarts the game so mods can be iterated on without leaving the assistant.

Records and visualizes evidence from a coding agent's own testing tools in a private local workspace, with live activity, domain charts, screenshot maps, findings, reproduction steps, human priorities, and persisted testing preferences. Runs 54 bundled CARBON command workflows over local stdio and serves a loopback-only visual workspace with strict evidence and permission gates.

MCP server for operating and testing Android devices with AI agents. Provides observation and action tools for interactive control and spreadsheet-driven test runs.

Enables controlled interception, review, and editing of web_search and fetch_page responses through a native desktop console, supporting live retrieval, synthetic or hybrid results, context sessions, and fault injection for AI agent robustness experiments.

Enables AI agents to inspect Git repositories for changes across committed, staged, unstaged, and untracked scopes, and run allowlisted validation commands with structured results.

Enables GitHub Copilot Agent Mode to act as a QA assistant by providing MCP tools to query and modify Bugzilla bugs, Jira issues, and Confluence pages through natural language.

Enables running SQL warehouse validation checks through natural-language questions in MCP clients, while reusing the same logic for automated pipeline and CI/CD runs.

Agent Ready is an AI agent readability scanner — point it at any public URL and get back a 0–100 score plus per-check remediation hints for every failing check. This package wraps the same engine that powers agent-ready.dev as an MCP server, so Claude Desktop, Claude Code, Cursor, Cline, VS Code, and Windsurf can run scans inline and explain the results.

MCP server exposing statistical regression testing for LLM agents as a "run" tool: p-value, effect size, and confidence interval on whether agent behavior actually changed.

Scans any website to generate an Agent Readiness Report based on the ASO framework, evaluating agent discoverability, trust, interoperability, and commerce readiness.

Enables AI assistants to generate realistic, synthetic test data on demand, including valid PESELs, NIPs, addresses, and more across 27 EU countries, through two tools: list_generators and generate.

Evaluates MCP servers by running read-only checks and returning a graded report with an A-F letter grade.

MCP server that gives an AI agent a throwaway test identity — a real disposable email address and a real UK phone number — so it can sign up for something it's testing and read back the verification email/SMS itself, without a human in the loop.

Enables coding agents to build, drive, and debug Android apps on a real device, with screenshots, UI dumps, local vision model analysis, and lock-safe Gradle builds.

Local static inspection of MCP and AI-agent tool manifests before attachment, reporting findings and missing evidence without executing proposed tools. Results do not establish runtime safety.

MCP server that scores tool descriptions, estimates token costs, simulates agent tool selection, and generates reliability reports to help AI agents choose the right tools and reduce wasted tokens.

Enables AI coding agents to see, measure, and verify web pages through a real Chrome browser, including screenshots, responsive layout and accessibility audits, pixel diffing against baselines, secure logins, and deployed-fix verification.

An MCP server that lets an AI agent drive the iOS Simulator in a loop, enabling tapping, typing, swiping, reading the screen via the accessibility tree, and verifying app state.

Provides tools for managing tasks, searching docs, and running a heuristic quality gate to check agent output for common issues before human review.

A deterministic behavior-compatibility layer for AI agents that checks normalized event traces against operating contracts and compares baselines with candidates to catch regressions in approval, stop, scope, recovery, and completion rules.

Enables an AI agent to boot and control an Android emulator — tapping, typing, scrolling, inspecting screens, reading logs and installing APKs — and to record those interactions as replayable, CI-ready test flows. Actions are captured by element text or id rather than coordinates, so the saved tests survive layout changes and rerun without the agent.

MCP server exposing AI agent observability tools: list, inspect, and deterministically replay recorded agent execution traces for debugging failures.

Enables style verification and CSS inspection through Chrome DevTools Protocol, using JSON specs to check computed styles, find elements, and interact with pages.