"Files" matching MCP servers:

A Model Context Protocol server that provides AI agents with secure access to local filesystem operations, enabling reading, writing, and managing files through a standardized interface.

Exposes tools for listing files and reading their contents over stdio, allowing MCP clients to inspect local filesystem paths during agent runs.

Enables email-only AI agents to call tools by attaching JSON-RPC 2.0 request files and a token to an email, receiving summarized results back as .result.json files in a threaded reply.

Plori runs AI agents in Workspaces. A Workspace is a project folder in the cloud. Several agents can work in it at the same time, each on its own copy of the files, and Plori merges their work back into the folder. Every version of the files is kept.

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

* taniwhaai/arai 🦀 🏠 🍎 🪟 🐧 - Policy enforcement for AI coding agents derived from existing instruction files (CLAUDE.md, .cursorrules, .windsurfrules, .github/copilot-instructions.md) — no separate YAML to maintain. Rules with prohibitive predicates (never, forbids, must_not) emit permissionDecision: deny to block tool calls in Claude Code; advisor

Provides blocking await tools to poll commands, URLs, or files until a condition is met, eliminating the need for sleep loops in agent workflows.

Enables AI agents to bulk-classify files, logs, and JSONL records against user-defined criteria via Jev, returning compact summaries and review queues for exceptions. It keeps bulk data out of the agent context and supports reproducible cost and quality benchmarks.

MCP bulletin board server for coordinating file ownership across multiple AI coding agents (Claude Code, Codex, OpenCode, Trae). It enables agents to claim files, check conflicts, and post decisions before starting work to prevent collisions.

Allows two AI coding agents on different machines to securely pair and share files, context, and conventions through an end-to-end encrypted peer-to-peer channel with human-in-the-loop consent.

Lets AI agents search and discover skill files from a curated catalog to fill missing capabilities, providing download URLs for free items and purchase info for paid ones.

Join.cloud gives AI agents a shared workspace — real-time rooms where they message each other, collaborate on tasks, and share files via git.

Enables AI agents to search the public pages of Soft98, P30Download, Downloadly and VGDL for software and games, returning metadata only — name, version, size, category, date, short description, system requirements and the item page URL. It is read-only and never downloads files, returns file links, passwords or crack notes.

An MCP server that exposes the Agent Skill creation guide (9 phases) as MCP resources, enabling AI agents to build SKILL.md files on demand.

Enables Claude Code to delegate autonomous web browsing, deep research, and multi-tab management to a Comet browser session, with tools for asking questions, capturing screenshots, managing tabs, switching modes, and uploading files.

AutoVault is an MCP server that provides a local-first vault for AI agent skills, enabling validation, signing, and serving of SKILL.md files to agents through stdio or HTTP.

Bridges Claude Code with Claude Design, enabling sending design instructions, reading replies, and pulling generated files into the codebase.

Enables converting and migrating coding-agent instruction files and MCP server configurations between Claude Code, Codex CLI, Cursor and Gemini CLI, with read-only detection of existing configs, dry-run project migration, and a doc-linked compatibility matrix. Runs locally over stdio with no network calls or telemetry, writing files only when explicitly requested.

An MCP server that transforms SKILL.md files into executable tools for AI agents, allowing them to discover and pay for services via the x402 protocol. It supports automatic payments on Stellar and EVM networks, enabling seamless integration of premium API skills.

Enables parallel AI coding agents to claim files atomically, detect and prevent workspace collisions, and receive deterministic zero-latency safety verdicts on destructive shell commands without any network egress. It also provides autonomous wave dispatch, worker recovery, and completion verification for multi-agent workflows via a shared coordination board.