"The most widely used models" matching MCP servers:

Enables an AI assistant to convert images among HEIC, JPEG, PNG, WebP, and AVIF entirely on the local machine, including converting a folder of files into a single zip. Access is confined to a user-specified root directory, metadata is stripped by default, existing files are never overwritten, and no network requests or telemetry are used.

The most feature-complete MCP server for Obsidian vaults. 23 tools and 3 resources for search, read, write, tags, link analysis, graph traversal, and canvas support.

Provides secure filesystem access for AI models through the Model Context Protocol with strict path validation, file operations, directory management, and system command execution within predefined directories.

The Modes MCP Server allows for comprehensive management and control over custom operational modes, supporting full CRUD operations, schema validation, and real-time configuration changes for enhanced mode management.

Implements the Model Context Protocol (MCP) to provide AI models with a standardized interface for connecting to external data sources and tools like file systems, databases, or APIs.

Provides tools for file system operations and text generation using OpenAI-compatible models via the Model Context Protocol, supporting both stdio and HTTP transports.

Enables MCP clients to read bounded workspace files, validate exact replacement plans for the VS Code extension, and check recent typing progress without modifying source or running shell commands.

Enables AI assistants to inspect models, set supported analysis inputs, and request operations from locally installed Bentley Maxsurf applications (Modeler, Stability, Resistance, Motions, Multiframe) through the Model Context Protocol.

An MCP server providing direct programmatic access to Obsidian vaults through CouchDB, the database used by Obsidian LiveSync. It enables AI agents to read, write, and manage notes and metadata in headless environments without requiring the Obsidian desktop app.

Enables AI agents to persist all generated deliverables as structured Markdown in a project's /.aiartefact directory, with automatic frontmatter, metadata indexing, and full-text search.

An HTTP MCP server that indexes large documents into exact-line-numbered sections, enabling AI models to locate, read, summarize, and edit parts of a document without ingesting the whole file.

Enables MCP clients to observe and control the Windows desktop through the UI Automation accessibility tree — no vision model required — by exposing tools for reading windows and interactive elements, clicking, typing, scrolling, shortcuts, PowerShell, screenshots, virtual desktops, web scraping, file operations and persistent memory, including background-window control without stealing focus. An optional agent mode adds a single natural-language task tool that runs the full upstream agent loop when an LLM provider is configured.

Enables a machine to expose its registered folders and locally added tools to remote callers over MCP, deciding each request against local policy with default-deny access, per-person tool grants, pre-approval for anything not marked read-only, and an on-machine audit log. Also runs a folder file server offering directory listing, text reading, and text writing where permitted.

MCP server for the Solid protocol enabling AI models to read, write, search, and manage resources in Solid pods.

The fastest, most capable filesystem MCP server built in Rust, giving AI agents superpowers to read, search, edit, and manage files and directories.

Enables creating, editing, validating, and preparing MST2008 structural model inputs and comparing/ingesting exported results for desktop-solved jobs. Supports safe workspace-scoped file operations through nine tools such as create, edit, prepare, compare, ingest, and recover for beam displacement fields.

Enables AI models to search the web using DuckDuckGo, scrape webpage content in markdown format, and browse/read local files for code analysis and debugging.

Enables MCP clients to connect to saved Bizagi Modeler .bpm files, detect the local installation, open models, and retrieve diagram entities and connections with refresh after saves, all within a user-authorized folder.

This server provides an API to query Large Language Models using context from local files, supporting various models and file types for context-aware responses.

Enables Claude Desktop to retrieve only the most relevant sections from locally indexed documents, reducing context-window and token usage during conversations. Indexing and search run entirely on the user's machine using SQLite FTS5, with no network connection or telemetry.

A bridge for the Bitburner Remote API that enables AI models to interact with the game through file management and remote method tools. It supports stdio and HTTP transports, featuring a local dashboard for monitoring connection status and events.

Analyzes file access times, duplicates, and sizes to identify rarely used files and suggest cleanup for folder restructuring.

Prevents Meshy asset expiration by automatically storing models locally, enabling search and reuse via prompts.

MCP server for reading and listing JSON documents, designed to be used with Claude Haiku and Headroom compression to reduce token usage. It demonstrates an end-to-end MCP tool-use loop with stdio transport.

A multi-tool task agent MCP server with file search, SQLite query, calculator, and report writing tools. Enables Claude Code, Claude Desktop, or Cursor to control the same tools used by the agent, with guardrails for safety.

Enables file system operations (read, write, list, search, watch, batch process) via MCP over JSON-RPC 2.0, used by a resume matching agent.

A production-grade Model Context Protocol server that enables secure management of context data through a React dashboard, supporting ZIP processing, context approval workflows, and system monitoring.

A tutorial MCP server for learning the Model Context Protocol by building file and system tools. Provides hands-on experience creating custom tools that enable AI models to interact with files and execute system commands.

Enables orchestrating models to delegate reading and answering questions about local files to a local LLM, avoiding sending file contents through the orchestrator's context.

MCP server for the mGBA Game Boy Advance emulator. Read and write GBA memory, inject button presses, take screenshots, save/load state, and step the emulator through a Lua bridge.