"Information about Adobe After Effects or its uses" matching MCP servers:

Visual CVE audit dashboard for npm, Python, Go, and Rust projects. Scans your project manifests (package-lock.json, requirements.txt, go.sum, Cargo.lock) against OSV.dev live data, opens a browser dashboard for human review, then applies fixes only after explicit confirmation. Supports multi-service monorepos in one command.

MCP server for verifying AI agent claims vs reality — single-transcript inline grounding-check that flags when an agent's response states facts not in the input context, when its code silently swallows exceptions and substitutes mock data, or when its multi-turn transcript contains contradictions or unverified completion claims. Sub-second, local, free, no API calls.

Stops your AI from re-introducing bugs, leaking provider keys, or weakening tests. Bug fixes become permanent regression guards; blocked mistakes become AI lessons the agent reads and learns from before its next edit.

An MCP server that lets an agent read its own eval results, run suites, explain failures, check drift, and view judge calibration status.

Enables LLMs to read existing PageSnap session packs and map locators to Playwright, Selenium, or Cypress without capturing or opening a browser.

Generates realistic, referentially-coherent test data (SQL INSERTs, JSON, or CSV) from your database schema, resolving foreign keys and respecting constraints. Paste CREATE TABLE DDL or a JSON schema and get ready-to-run seed data with valid relationships.

Enables web accessibility audits using axe-core, allowing users to scan URLs, check WCAG compliance levels, and export reports. It uses an anti-detect browser to bypass Cloudflare and other bot protection.

An MCP server that turns Zod schemas into mocks, violations, and contract tests, enabling AI agents to reason about API contracts without manually crafting payloads.

Automated Playwright E2E test repair powered by a self-improving, governed MCP server that runs failing tests, collects failure artifacts, reasons about root causes, validates and applies fixes, and re-runs to verify.

A research harness for measuring whether MCP clients preserve informed consent when tool definitions change after approval.

An MCP server that lets an agent verify its own extracted data against a policy, returning per-field dispositions (post, review, or escaped) to catch confidently wrong answers.

Checks whether a number is real or just noise: peek-safe A/B tests you can look at as often as you like without inflating false positives, two-sided change detection, and a guard for when a metric moved only because its sample size did. Zero dependencies, standard library only.

Allows LLM agents to query Playwright JSON test results for run summaries and failure information.

An MCP server that reviews UI edit requests by comparing before and after screenshots, providing visual feedback on whether changes satisfy the user's requirements.

Local MCP server for querying VCD waveform files via SQLite; enables AI agents to ask precise questions about signal values, transitions, and clock cycles without dumping raw VCD text.

MCP server for Zentao that reads bugs, extracts reproduction steps, and allows AI to update bug status after fixing.

Runs the free, independent before/after accessibility-overlay witness on any public URL to test if accessibility overlay widgets actually work.

Enables defect management on the SEPP platform, allowing users to query defects, retrieve user project information, and set up automated monitoring with alerts for new or unresolved defects via webhook or email.

A Model Context Protocol server that lets an AI agent drive the whole Clutter pipeline to invent a synthetic company, generate its documents, spreadsheets, emails, images and datasets, poll for completion, and fetch download URLs through Clutter's public REST API.

Enables comprehensive interaction with the BugBug test automation platform through its API. Supports running tests, monitoring execution status, managing test suites, retrieving results and screenshots, and performing batch operations through natural language commands.