"Understanding Local File System Operations" matching MCP servers:

MCP server for multimodal understanding and object grounding (bounding boxes) across images, videos, and documents, with support for multiple AI providers (Zhipu GLM-V, OpenAI GPT-4o, Anthropic Claude, or any OpenAI-compatible endpoint).

A zero-dependency Node.js playground for debugging how MCP clients authenticate to an MCP server over HTTP.

Integrates Xiaomi MiMo's multimodal API to enable understanding of images, audio, and video through natural language prompts.

Enables date and time operations including formatting, arithmetic, comparisons, and duration calculations using date-fns library. Provides tools for getting current time, adding/subtracting durations, finding differences between dates, and comparing dates.

MCP server for token-user-system wallet operations, supporting balance, trend, transactions, coupons, and corporate transfer info.

Enables AI agents and LLMs to perform comprehensive file system operations including CRUD, search, archive, hashing, and duplicate detection via the Model Context Protocol.

Provides structured instructions to Cursor for generating comprehensive system summaries of Node.js/TypeScript codebases.

Production-grade Model Context Protocol (MCP) server delivering paywalled Web3 micro-services powered by autonomous x402 payment challenges on Base Mainnet.

Enables Claude to interact with System Task projects, teams, and tasks, providing daily briefs, project reports, team load, and risk identification, as well as creating and updating tasks and demands.

Pre-trade risk validation and position sizing for AI trading agents via G-formula and Iron Fist.

Enables bidirectional synchronization between IDEs and Figma for Design System management, allowing developers to generate React components and synchronize design tokens, icons, and components across platforms.

Provides AI clients with a persistent, readable and writable long-term memory layer over MCP, enabling creation, retrieval, tagging, updating, and deletion of memories across sessions.

Enables moving artifacts from ChatGPT/Codex sandboxes to remote server storage via host-native file parameters, streaming large files without Base64 or model-context overhead.

A production-quality multi-agent research system with an arXiv MCP server and LangGraph-based research agents, providing search, details, and cached summaries via SQLite.

Read-only MCP server for observing Linux hosts (systemd, ZFS, Docker, VMs, network, hardware, NixOS) as a graph of objects with provenance. Provides seven tools to list hosts, get status, collections, objects, evidence, lookup, and changes.

Provides AI agents with component documentation, usage examples, and design tokens from the WordPress Design System, enabling them to follow the latest design system guidance for creating user interfaces.

Enables a Telegram bot to securely deliver local files to the owner's private chat and lets the owner approve in-chat plugin updates.

Enables authenticated, permission-bound read-only queries across registered repositories for inventory, ranking, impact analysis, tracing, and result interpretation.

Enables users to list GKE clusters, describe virtual machines, and retrieve billing information through MCP read tools, without applying production changes.

Fetches, summarizes, and reviews GitHub code diffs with asynchronous processing for large diffs.

An autonomous AI operations hub for enterprise e-commerce that uses a decentralized MCP mesh and LLM-as-Judge consensus to detect and self-heal infrastructure issues.

Enables uploading files to MinIO (S3 compatible) via MCP tools. Supports Base64 file upload and optional curl command generation.

Enables Kelivo to generate text files (TXT, HTML, etc.) from code and return HTTPS download links, with files stored temporarily for 24 hours.

A production-grade MCP server with 6 sandboxed tools and an agent orchestration engine for autonomous task completion, featuring an evaluation suite with CI/CD quality gates.

Enables persistent storage and retrieval of decisions, settings, and operational rules across chat sessions, maintaining context continuity and decision consistency for long-term development projects through structured memory management.

Enables agents to securely stage, validate, and submit binary data for on-premises storage, then list, inspect, process via registered server-side processors, and token-guarded delete those assets using opaque identifiers. Upload bytes travel over a separate data plane rather than through MCP JSON, with staging, validation, and prepare/apply/verify flows enforced throughout.

Provides AI agents with accurate current time and date, including the Jalali (Persian) calendar, timezone-aware with automatic DST handling, via an MCP server.

Enables checking lead rows, CSV files, or Apify datasets for duplicates, email syntax and risk signals, domain issues, missing fields, and stale dates, returning a per-row import, review, or reject verdict so only clean records reach a CRM or sequencer.

Evaluates task suitability for local models before cloud API calls, routing to Ollama or similar to reduce costs.

Local-first Microsoft Outlook MCP server: a single Go binary that manages calendar events and mail through the Microsoft Graph API over stdio, with tokens stored in the OS keychain and no Entra ID app registration required. Exposes four aggregate tools (calendar, mail, account, system) dispatched by an operation verb, with multi-account support and read-only and mail-gating modes.