"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.

Connect your agent to any HTTP API on the fly: Liquid discovers and maps any REST API once, then fetches typed data deterministically. Server-side search/aggregate, cross-API normalization, and structured recovery built in.

Stops agents double-firing side effects like double-charges or duplicate sends: same-instant races elect exactly one winner, and late duplicates get a sealed, content-addressed receipt replayed instead of a second execution. Tools: fence_prepare, fence_commit, fence_abort.

FROM node:22-alpine RUN npm install -g agentpack-cli WORKDIR /workspace RUN agentpack init ENTRYPOINT ["agentpack", "mcp"]

An improved implementation of persistent memory using a local knowledge graph with a customizable --memory-path. This lets Claude remember information about the user across chats.

Manages autonomous desires for the M5 Petit robot, allowing Claude to read desire levels and update them via actions and sensor effects.

Enables running code against tests in an isolated sandbox to obtain PASS/FAIL verdicts with signed, offline-checkable certificates, and generating verified code with attached certificates after execution against derived tests.

This MCP server is designed for planning with Claude Code, Cline, or Cursor and making changes with Cerebras to maximize speed and intelligence while avoiding API limits. It uses the Qwen 3 Coder model for high-quality code generation and can be embedded in IDEs.

A tool for detecting and cleaning Java memory shells via local or SSH remote execution. It enables AI agents to scan Java processes, analyze suspicious class code, and safely remove memory shells after user confirmation.

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.

An MCP server that provides a reasoning sidekick for tool-using agents with a single 'think' tool for tackling complex problems. It allows agents to consult powerful reasoning models like Claude Opus or GPT-5 only when needed, keeping costs low while maintaining control over side effects.

MCP server to give new instructions to agent while its working. It uses the get_feedback tool to collect your input from the feedback.md file in the workspace, which is sent back to the agent when you save.

With Memori's MCP server, your agent can retrieve relevant memories before answering and store durable facts after responding, keeping context across sessions without any SDK integration. With MCP, it can: Store stable user facts and preferences after answering using the advanced_augmentation tool Recall relevant memories before answering using the recall tool Maintain context across sessions us

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.

An MCP server implementation of Anthropic's Think Tool prompt engineering technique that enables Claude to break down complex problems and enhance its reasoning capabilities by providing a simple tool that echoes back thoughts.

A Model Context Protocol server that provides Claude with a dedicated space for structured thinking during complex problem-solving tasks, helping improve its reasoning capabilities.

An autonomous MCP server that uses the Claude Code CLI to solve coding problems without permission prompts.

Generates crash-proof Python LLM pipelines from plain English descriptions. Pipelines resume from the last successful node after a crash instead of restarting from scratch. IProvider-agnostic , works with Groq, Gemini, Ollama, OpenAI, or any Python callable. Zero infrastructure, runs entirely on free-tier APIs.

A lightweight short-term memory MCP server that automatically stores and recalls working context, session state, and task progress for AI agents. Memories auto-expire after 24 hours and integrate seamlessly with workspace-aware storage across multiple projects.

An unofficial MCP-compatible server that enables advanced automation, querying, and remote control of Adobe Premiere Pro projects for power users, workflow automation, and AI integration.