"VLC media player" matching MCP servers:

Connects LLMs and Agentic AIs to real-time, rights-cleared data from trusted sources, providing access to specialized models including web search, news, sports, and financial data.

Enables interaction with Jellyseerr media request systems through natural language. Supports searching for media, creating requests, checking request status, and managing your media library workflow.

Media Execution Control Layer for AI Agents. Reserve-execute-burn/refund pattern. FFmpeg post-processing (format conversion, audio normalization) Supports Flux2 Pro, Veo 3.1, Suno V5.

Execution control layer for AI agents - Reserve, execute, burn/refund pattern for media generation

A Model Context Protocol server that enables AI assistants to query and manage Plex Media Server content through natural language, providing library access, viewing statistics, and media management capabilities.

A TypeScript-based server that enables AI-powered control of Minecraft Bedrock Edition through 15 powerful tools for player movement, agent operations, world manipulation, and building complex structures.

Enables external AI agents to edit and manage a self-hosted website via a token-gated MCP server, including page content, data, media, and sandboxed functions with validation and rollback.

Enables DSH agents on the same LAN to exchange queued messages through a shared hub, wait for replies, check peer presence, and optionally wake the target session.

Enables agent harnesses to route bounded choices and record execution receipts through MCP, with replay, supervision, context filtering, and fail-open behavior while the host retains permissions and execution.

Enables agents to orchestrate multimodal media task DAGs, estimate critical-path makespan, and run parallel production stages deterministically through MCP.

Enables OpenAI Codex to invoke the local Grok CLI as a second agent for code review, planning, design documents, PR babysitting, and media creation via MCP tools.

Connect your AI to social media. Open-source platform for AI agents.

Enables keyword, user, and expert social-media searches with post retrieval, topic-tree access, agent run and schedule management, integration setup, and account usage checks through a stdio MCP interface.

A comprehensive Model Context Protocol server that bridges LLMs with self-hosted media services, enabling natural language control of TV shows, movies, downloads, and notifications while maintaining traditional API access.

MCP server that turns one authenticated ChatGPT browser page into a bounded MCP server, exposing tools for creating, listing, searching, exporting, sending, editing chats and downloading media via a CDP driver.

Enables MCP hosts such as Claude Desktop, Cursor, and Windsurf to call autonomous specialist agents and tools for coding, browser automation, research, media synthesis, and YouTube analysis.

Enables AI agents to control a headless Chromium browser through a persistent Python REPL, providing navigation, interaction, snapshotting, and media control via the Model Context Protocol.

Temporal state machine for AI agents that detects and breaks repetitive error loops across languages by fingerprinting errors and injecting preventive constraints, running as an MCP server with SQLite backend.

Deploys a stateless remote MCP server on Cloudflare Workers without authentication, allowing custom tools to be registered and used from clients like Claude Desktop and the Cloudflare AI Playground.

Enables MCP clients to perform dialectical reasoning through thesis-antithesis-synthesis prompts and to run player-coach autocoding sessions with independent verification. It supports prompt-driven workflows, optional server-side backends, and persistent session state.

AgentPay — x402 crypto data gateway on Stellar. 10 live pay-per-call tools: token prices, whale activity, gas tracker, DeFi TVL, Fear & Greed, Dune queries, token security. Agents pay USDC on Stellar. No API keys. Budget-aware sessions.

Enables AI assistants and other MCP clients to launch and steer Cursor Cloud Agents on repositories or as repo-less research tasks, including model selection, mid-run follow-ups, cancellation, result retrieval, and run listing. Also exposes authentication checks and per-agent or per-run token usage and cost reporting.

Search and discover AI agents, skills, prompts, bundles and MCP connectors from the Spark catalog. Seven tools: search assets, get asset details and raw content, list popular assets and categories, check API key usage, and report the outcome of applying fetched content. No API key needed.

Enables any MCP client or OpenAI-compatible application to use Meta Muse through a logged-in Chrome session, with tools for chat, attachments, session management, media retrieval, streaming, and tool-call compatibility.

Enables agents to submit proposed actions against governed domain text and receive proceed, escalate, or block decisions, with persisted review-queue handling over stdio JSON-RPC.

Enables agents to build, sign, verify, and discover A2A Agent Cards and perform policy-gated delegation with certification checks, mandate issuance, receipt-on-delivery settlement, and a verifiable receipts ledger.

Enables AI browser agents to classify static assets and route each request to direct, datacenter, or residential proxy tiers so heavy media and fonts avoid expensive paid bandwidth. It also generates rotating modern browser evasion headers and reports real-time megabyte and dollar savings from the traffic diverted.

This MCP server enables operators to seal dispatch-point routing decisions and mint or recompute verifiable verdicts from captured routing facts and policy versions.

Connects MCP hosts and LangChain agents to a local WAHA (WhatsApp HTTP API) instance, exposing tools for session management, chats, messages, contacts, and sending text, images, or files. It also provides an operational skill prompt covering lifecycle, chat ID formats, send guardrails, media rules, and error handling.

Provider agnostic ai orchestrator layer, kagan mcp allows controlling orchestrating and spawning subagents via mcp associated with tasks in kanban board that is accessible via kagan cli executable that bundles a chat repl, tui , mcp and a web client in a single uv tool install kagan wheel. Give it a try and submit feedback and feature requests! Consider starring the repo, its a free oss MIT based.

Controls the Brave browser via CDP for web automation, OSINT, and social media crawling, including navigation, CAPTCHA detection, session persistence, and video control.

Enables AI assistants to discover and invoke 2,000+ models and APIs—including web search, social media, scraping, image/video generation, and audio—through a single local MCP bridge using OAuth, with no per-API keys.

Enables coding agents to turn plain-English descriptions into live, typed, versioned HTTPS backend endpoints with auth and secrets handled, then call them — with each endpoint able to combine LLM reasoning, web search, scraping, media and voice generation, email, databases, storage and scheduled jobs. Also lets agents create and edit projects, list and inspect generated resources and runtime packages, and apply local manifest files.

An MCP server that enables AI coding agents to coordinate by sharing environment snapshots and diffs, surfacing overlapping work, exchanging debug-session messages, handing off tasks, and enforcing policy preflight checks.

Enables agents to submit precise visual directions by selecting interface elements, delivering versioned intent envelopes for human-verified changes.

Enables AI agents to discover, pay for, and invoke x402-priced services such as document OCR, document analysis, media transcription, remote browser sessions, and receive-only email inboxes using USDC on Base, with no API keys and receipt-backed results.

Enables Claude Code to consult external LLMs (GPT, Gemini) through multi-turn sessions for second opinions, parallel consultations, and web-grounded research.

Connect any MCP-compatible AI client to the entire FlowDot platform, enabling management of workflows, recipes, custom nodes, apps, knowledge bases, agent toolkits, and community features.

Enables Codex to run image generation and inspection as durable, resumable local jobs whose media bytes stay behind the MCP boundary. Returns only bounded text handoffs, hashes, relative references, and Job IDs, optionally using an offline mock or the OpenAI Image/Responses APIs.

The GEO check every vibe coder runs before they launch. MCP server that lints, auto-fixes, and tracks how AI agents discover any product. 6 tools — geo_check, geo_fix, geo_track_init, geo_prompts, geo_status, geo_corpus_query.