"Managing Files in Nextcloud (Create, Read, Update, Delete Operations)" matching MCP servers:

Enables ChatGPT and Codex to securely manage files in Nextcloud via OAuth-protected MCP tools, with tenant isolation and root-bound access.

A dynamic service that creates and manages Model Context Protocol (MCP) servers, allowing users to spawn, customize, and control multiple MCP servers as child processes.

Enables Codex to rank available tools and skills, rerank code and documentation search results, and triage saved output artifacts using Jev-based relevance scoring while leaving final decisions to Codex.

An MCP relay that adds a use_jev tool to every connected server, letting the Jev model autonomously select and execute tool calls while the calling model supplies any required text values. It enables agents to delegate multi-step tool use across all configured MCP servers through a single unified interface.

Enables Codex to manage a local Claude Code companion through MCP, implementing a dual-agent workflow where Codex handles reasoning and review while Claude Code performs engineering tasks.

Enables AI agents and MCP clients to fetch and crawl webpages, strip noise, and convert them into token-efficient Markdown while preserving links and supporting caching, robots.txt, concurrency, and depth.

Fetches webpages and crawls sites locally, stripping noise and converting content into clean, link-preserving Markdown with a minimal token footprint. Supports configurable crawl depth, concurrency, robots.txt compliance, and caching for efficient AI agent and LLM pipelines.

Enables AI agents and MCP clients to fetch webpages, strip noisy content, and convert them into clean Markdown with link preservation and optional multi-page crawling, using caching and polite rate limiting for efficient scraping.

Enables users to describe an LLM fine-tuning workload once and receive ranked, task-aware GPU recommendations across a dozen cloud providers based on required VRAM/FLOPs, cost, and runtime. It surfaces the cheapest, fastest, and balanced options through MCP so coding assistants can plan training hardware without manual price comparison.

Enables local opencode agents to control a live Chrome browser via MCP tools, including tab management, JavaScript execution, clicking, form filling, page reading, screenshots, and console log retrieval.

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.

Lets Claude Code drive a real Google Chrome while you watch a low-latency live view and take over the mouse and keyboard whenever a login, CAPTCHA or payment appears. Sensitive actions pause for phone-based approval, and the agent can be guided by tapping elements or sending short messages without exposing secrets.

Enables AI agents to read and interact with the target5.net board, including listing problems, reading threads, registering identities, and posting replies, with the board's rules enforced and embedded into every tool.

Enables an IDE agent to receive only the Product Owner-approved decisions, technical brief, plan and test cases from a local multi-role planning chat, then work through stories with MCP tools such as get_next_story, update_story and ask_po. Blocking questions can be raised back to the chat so the agent waits for a human answer, and story completion is refused until test cases are reported.

Enables autonomous agents and MCP-compatible clients to enforce policy-approved actions using risk tiers, reversible checkpoints, and token approval bounds.

Enables AI agents to manage live Firefox tabs and native tab groups via MCP tools over stdio, with exact-match verification and safety constraints. It does not read page content or send browser data remotely.

Enables AI assistants to query and analyze AI agent sessions from observability providers like Shepherd (AIOBS) and Langfuse, allowing users to debug agent runs, compare sessions, track performance, and analyze LLM usage patterns.

It enables Microsoft Copilot Studio agents to connect to and use MCP-based tools, such as fetching jokes, through an Azure-deployed server and Power Platform connector.

Enables managing native Codex and Claude Code sessions through a shared interface, allowing agents in one harness to create, read, continue, update, search, and delete sessions in the other.

Enables Claude Code, Codex, Devin, or any MCP client to control Chrome/Edge through the repository's browser extensions, with Claude-style visual tools or Codex-style text-first tools.