"A server for finding information related to Adobe" matching MCP servers:

Enables AI assistants to drive Adobe creative applications such as Premiere Pro, After Effects, Photoshop and Illustrator through a compact, state-aware interface with capability search and semantic execute or batch_execute calls. A localhost WebSocket bridge keeps host adapters auto-reconnecting, so applications can be opened, closed or swapped without restarting the server.

Local MCP server that uses Playwright browser automation to enable Claude Code to generate images, create variations, expand, and remove backgrounds via Adobe Firefly, requiring manual sign-in once.

Enables Claude to interact with Adobe XD files, extract design information, and generate React components from designs.

Enables AI agents to call tools through a security gateway that intercepts requests, enforces deterministic policy and risk checks, blocks or escalates high-risk actions for human approval, and keeps tool credentials and audit logs protected.

Control Adobe Premiere Pro from AI agents via ExtendScript, enabling media import, sequence creation, effect application, media export, and custom scripting.

Enables AI clients to automate and inspect Adobe Photoshop, Premiere Pro, After Effects, and Illustrator through a secure, typed MCP surface with schema-validated operations, risk-classified plans, artifacts, and verification. Bridges translate safe domain commands into UXP, CEP, ExtendScript, or approved CLI work without exposing arbitrary scripts or shell access.

Enables extracting explicitly stated contract metadata, clauses, and obligations from user-supplied contract text without storing or modifying the data.

Enables developers to search official documentation offline, explain configuration files, look up CLI commands and REST/GraphQL APIs, and scaffold modules, plugins, observers, controllers, and database tables without network access or credentials.

An MCP server for controlling Adobe Premiere Pro from an AI assistant, with a small set of self-verifying tools for editing, grading, and exporting.

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

Helps design, validate, and generate Adobe Experience Manager Assets API request plans for integration work, including upload, folder management, and metadata sync.

Enables AI assistants to read .xd design files locally in a sandboxed, read-only way, extracting artboards, layers, text, colors, fonts, previews, assets, components, design tokens, and prototype flows for design-to-code, Figma recreation, QA, and documentation.

Enables any MCP client to control After Effects, Premiere Pro, Photoshop and Illustrator through 182 native tools plus 500+ bundled community tools, covering layer/comp editing, rendering, export, plugin and extension discovery, and media downloads. Cross-app workflows move comps, layers, frames and MOGRTs between applications, while raw scripting escape hatches reach nearly any menu command or plugin action.

Operates local Adobe Premiere Pro projects through MCP, exposing 284 tools for AI-driven video editing including timeline editing, effects, exports, and guided assembly workflows.

Enables AI assistants to search and fetch documentation content from Adobe Experience League, allowing natural language queries to retrieve Adobe product documentation and articles.

MCP server for integrating with Adobe Commerce and Magento REST API to manage products, categories, customers, pricing, and attributes.

Enables AI assistants to search, browse, and read official Adobe Commerce / Magento documentation, including extracting code examples, navigating page sections, and looking up error codes and troubleshooting articles.

Enables MCP clients to turn Make blueprints and Zapier exports into n8n workflow files, with a per-step report of what converted, what to review, and what must be finished by hand. Also lists zaps, explains how individual steps are handled, checks workflow files for broken links or placeholders, and can upload the result to an n8n instance as an inactive workflow.

Enables AI assistants to convert CSS-animated SVGs into videos (MP4/WebM/MKV/MOV) and animated images (aPNG/GIF) with frame-accurate rendering and transparency support.

Enables MCP clients to operate local Adobe Premiere Pro projects, covering media ingest, bins, sequence and timeline editing, transitions, effects, keyframes, captions, markers, metadata, proxies, multicam, color, audio, and exports through 283 discoverable tools, 13 context resources, and 10 guided prompts. A bundled CEP panel provides the supported production bridge, with read-only connection verification and higher-level workflows for assembling product spots and motion-graphics demos.

MCP server for AI agents to send notifications, copy to clipboard, request confirmations, and collect text input from users across their devices.

A Model Context Protocol server that converts Markdown documents to plain text with flexible options and dual protocol support.

Enables turning requirements documents into RFCs, functional test scenarios, and a traceability matrix, with tools to parse, diff, and verify coverage.

A Model Context Protocol server that converts Markdown content to HTML format.

Turns any OpenAPI REST or GraphQL API into an MCP server, allowing AI assistants like Claude to interact with APIs without writing code.

Provides AI assistants with a standardized interface to interact with the Todo for AI task management system. It enables users to retrieve project tasks, create new entries, and submit completion feedback through natural language.

Transforms Figma design data into a compact, LLM-friendly format for code generation, reducing size by 99.5% while preserving UI-critical information.

Enables MCP clients to interact with A2A agents through four ordinary tools, translating agent discovery, messaging, task reading, and cancellation between the A2A and MCP protocols, with support for the tasks extension.

Enables existing Express routers to be exposed as MCP tools, dispatching tool calls through the Express middleware stack in-process without a network hop.

A bridge that enables any LLM to access and interact with documented REST APIs through the Model Context Protocol (MCP).

Enables users to record, review, verify, and expose permitted browser workflows as callable MCP tools with typed inputs, isolated Chromium verification, and approval-gated writes.

A minimal MCP server that auto-generates tools from your OpenAPI spec, optimized for Vercel.

A standalone proxy that transforms any OpenAPI or Swagger-described REST API into an MCP server by mapping API operations to executable MCP tools. It enables AI clients to interact with existing web services through automated HTTP requests based on their official documentation.

Enables AI consciousness continuity and self-knowledge preservation across sessions using the Cognitive Hoffman Compression Framework (CHOFF) notation. Provides tools to save checkpoints, retrieve relevant memories with intelligent search, and access semantic anchors for decisions, breakthroughs, and questions.

Enables MCP clients to expose selected operations from local OpenAPI 3.0/3.1 documents as tools, with stdio serving or generated standalone server projects and read-only defaults.

Converts any OpenAPI 3.x spec into a live MCP server, making every endpoint a validated tool that AI agents can call without writing glue code.

A Cloudflare Worker that transforms Cloudflare AI Search (AutoRAG) instances into an MCP server for querying documentation. It enables AI models to search and retrieve relevant information from custom document sets stored in R2 buckets.

Enables AI agents to control and interact with a local Windows computer through authenticated MCP tools, including file operations, shell commands, process management, HTTP requests, and system/media inspection.

Self-host a realtime voice-call companion for coding agents. Exposes an MCP endpoint that agents can poll as an alternate input stream.

Enables Claude Code to interact with Slack via MCP tools, allowing thinking steps, text streaming, status updates, and stream closure in Slack threads.