"Best browser-based media player controllers (MPC)" matching MCP servers:

Enables enterprise knowledge search through a chat interface, comparing traditional RAG with MCP-driven retrieval using hybrid BM25 and dense vector search, Ollama-powered answer generation, and question routing to domain-specific retrieval tools.

A TypeScript-based MCP server that implements a simple notes system, allowing users to create, access, and generate summaries of text notes through Claude Desktop.

This server provides a note storage system with a custom URI scheme, allowing users to add and summarize notes, with adjustable summary detail levels.

An automated system that processes raw text through a three-stage pipeline to assess data quality, enhance information, and generate structured knowledge graphs. It provides tools for triple extraction with confidence scoring and creates interactive HTML visualizations of the resulting graph.

Enables AI clients to read and write to a user-owned markdown bucket via S3-compatible storage, providing a persistent shared context layer across different AI tools.

Universal MCP knowledge server for LLM agents, powered by local RAG, providing domain-specific best practices and playbooks across software engineering, marketing, video editing, and other knowledge areas.

Enables AI agents to autonomously manage and improve execution processes for repetitive task types by storing reusable task contexts with associated artifacts (practices, rules, prompts, learnings) and providing full-text search across historical best practices.

Exposes Microsoft BCQuality repository (Business Central development best practices) as structured tools for AI agents, enabling rule discovery, search, and application via MCP protocol.

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Enables MCP clients to connect to Walrus Memory for persistent memory operations like remember, recall, analyze, and restore, with browser-based wallet login and local credential storage.

Enables AI assistants to query cross-organizational best practices, learnings, publishers, and patterns from the OTP network.

Enables AI agents to semantically search, ask questions about, and analyze videos, with persistent memory and social media import capabilities.

Independent MCP server for tracking food inventory, estimating best-before dates, managing consumption, and returning expiry reminders to MCP clients.

Provides persistent tool context that survives across Claude Desktop chat sessions, automatically injecting tool-specific rules, syntax preferences, and best practices. Eliminates the need to re-establish context in each new conversation.

About Your task manager is the best agent memory you're not using. An agent-native context layer over your existing task app.

Provides 634+ curated production-ready AI skills for any MCP-compatible client, covering areas like security, frontend, backend, infrastructure, AI/ML, and architecture. Enables AI agents to access best practices, patterns, and solutions across multiple domains.

Enables AI agents to edit videos locally by inspecting media, applying templates, cutting clips, and delivering finished files, with memory of human preferences.

Runtime intelligence layer for AI agent skills that scores, resolves, and loads the best skill for a task, managing context and collision resolution.

Daem0n-MCP provides AI agents with persistent, semantically indexed memory to track decisions, rules, and outcomes across sessions. It actively prevents repetitive mistakes by enforcing context checks and prioritizing information about past failures during recall. Best for Claude Code.

Enables read-only access to the Raily personal agent's data, including agent status, brief, matches, intros, memory, analysis status, and billing status through browser-based OAuth.