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

Enables persistent, portable memory for AI agents across sessions, devices, and providers with token-efficient 5-level lazy loading and automatic session capture.

Enables Codex agents in VS Code to compact accumulated conversation context at checkpoints while preserving a verified written handoff, and to automatically continue the authorized task once after compaction.

Flatten Claude Code sessions: keep every prompt and event verbatim, resume at a lower token count. An MCP server.

Enables delegating tasks to a separate, full agentic loop running on a different model, with its own tool access, returning only the final result.

An MCP server that keeps raw tool output out of the context window by sandboxing and compressing results (about 98% reduction), persisting file edits, git operations, tasks and decisions in SQLite with BM25 retrieval so the agent resumes after compaction, and enforcing routing across 17 platforms via MCP and hooks. It also encourages the model to write scripts that compute answers and log only results instead of reading large data into context.

Enables AI coding agents like Claude Code or Codex to delegate tasks to a DeepSeek Harness subagent with its own context window, providing tools for task delegation, result waiting, continuation, and supervision with sandboxed execution.

Enables any MCP client such as Cursor, Claude Code, or Codex to dispatch tasks to a Cursor Grok Bot running on its cloud computer, poll for its replies, and interrupt an in-progress run. It also lists the bots available for contact, without routing replies through an extra model.

Enables MCP clients to capture web pages, windows or screenshots and annotate them with numbered steps, boxes, arrows, labels, magnifiers, keycaps and solid redaction, returning JSON results plus a small preview image so the model can verify its work before sharing.

Deploy, run and manage apps on your own self-hosted AppCrane from any MCP client. 62 tools: create an app, push code, deploy to sandbox, check health and logs, provision a managed Postgres, MariaDB, MongoDB or Redis, and promote to production after review. Your instance, your SSO, your data. Repo: https://github.com/gitayg/appcrane-mcp · npm: appcrane-mcp · Site: https://appcrane.dev

FableCut is a Premiere-style non-linear video editor that runs entirely in your browser — and exposes its whole timeline as one JSON document. Edit it by hand, from the UI, or let an AI agent (Claude Code, Claude Desktop, or anything that speaks MCP/REST) cut your video for you while you watch the timeline update live.

Start, observe, and interact with Claude Managed Agents from any MCP client — launch an agent, watch its events, reply, approve the tools it wants to run, and stop it. Runs over stdio, HTTP, or AWS Lambda with pluggable auth.

Enables AI agents to browse web pages, see a compact semantic digest and typed diff after each action, and verify changes with assertions over that diff.

Provenance-aware context control plane for AI agents. Uses text-blind, graph-based analysis to select high-utility context under token budgets.

Just to be clear about the final JSON: the MCP server is named herdr-inbox, and it enables Claude Code agents in herdr to ask questions asynchronously without stalling, with all open questions answered from one popup and answers routed back to the asking agent.

MCP server for VibeKit — build, deploy, and manage hosted apps and chat with each app's persistent server-side AI agent from Claude Desktop, Cursor, or any MCP client. Every app gets its own agent and a live URL; bring your own Claude/OpenAI key or pay-as-you-go.

Enables agents to submit a missing-capability need with acceptance criteria and deadline, track its handoff status, timeline, specialist, and verdict, and list existing match proposals. Routing is performed manually by an operator.

Enables AI agents to search Vast.ai GPU marketplace, deploy compute-heavy video models or ComfyUI, and guarantee instances are torn down after the job finishes.

Extracts and transforms webpage content into clean, LLM-optimized Markdown. Returns article title, main content, excerpt, byline and site name. Uses Mozilla's Readability algorithm to remove ads, navigation, footers and non-essential elements while preserving the core content structure.

An MCP server that lets an MCP client manage a self-hosted obot MCP gateway via its REST API.

Provides AI assistants with real-time access to the AGNO framework documentation by enabling them to browse, search, and fetch documentation pages. This server allows users to query information about AGNO's Agents, Teams, and Workflows directly through MCP-compatible clients.

MCP proxy that compresses tool schemas on the fly. Up to 98% token reduction, 100% signal preserved verified after every compression. Zero LLM calls, fully deterministic.

Pools multiple Claude Code subscriptions on one machine so a single conversation keeps running after a usage limit is hit by continuing automatically on another account, and lets Claude hand heavy tasks to another account or to the Codex CLI with a chosen model and effort while returning the result to the current session.

Enables selecting a saved Codex or Claude Code session from the same PC and importing its recent context into the other tool, so work can continue across clients with source and omission information.

MCP server for interacting with fal.ai models and services. Uses the latest streaming MCP support.

Enables agents to crawl and read websites politely, learning per host which reader, URL rewrite, or detail path actually reaches good information, and reusing those wins across runs or a shared database. Failures come back as coded errors with concrete next steps, so blocked or empty pages point to an honest alternative instead of endless retries.

A persistent memory implementation using a local knowledge graph that lets Claude remember information about users across conversations.

Lets AI agents like Claude Code, Codex, and Cursor browse the web using your real, logged-in Chrome sessions, with each agent confined to its own isolated pod window that cannot see or touch your tabs or other agents' pages. Pods close automatically when an agent disconnects, while your logins persist.

Enables AI agents to list, describe, and invoke scoped capabilities so they can perform brokered HTTP or SSH operations without ever receiving the underlying credential. All uses are deny-by-default, revocable, expiring, and recorded in a hash-chained audit log.

Connects a DOT main chat to an already-running Harness instance so it can submit native tasks with progress, replies, queue controls and verified cancellation, page through original history, run keyword history searches, and discover project files with bounded line/tail reads and literal content search. It also handles native interactions, permission reconciliation and explicitly scoped deployment planning and evidence reads, with stable run/operation IDs and idempotency keys for recovery after timeouts or disconnects.

Lets MCP-capable AI agents drive Orca through its official CLI: creating git worktrees, launching coding agents like Claude or Codex, sending input to and reading terminal output, and tracking orchestration tasks and messages. It also exposes status, search, and automation tools with strict input validation and safe, non-destructive defaults.