"filesystem" matching MCP servers:

Enables agents to validate physical-AI evidence through synthetic scenario and episode reviews, explain beliefs from delayed or conflicting evidence, and audit simulation replays while tracing why a workflow pauses. Pairs local freshness checks with bounded cloud model review and exposes no actuator or arbitrary filesystem tools.

Enables processing PDFs via Aryn's API, typically used with a filesystem MCP server for file management.

Enables MCP-compatible developer environments to shrink verbose tool outputs—test logs, git diffs, directory listings, and file dumps—before they reach the context window, preserving compiler errors, failure signatures, and decisive anchors. It runs either as direct callable tools or as a transparent proxy wrapping other MCP servers such as filesystem, git, or terminal providers.

Model Context Protocol (MCP) server implementation demonstrating production-ready patterns in TypeScript, with tools for calculation, weather, and filesystem access.

Provides read-only Model Context Protocol tools for My AskAI, enabling documentation search, filesystem queries, and pricing estimates.

A local hub that lets you chat with Claude, Gemini, OpenAI or Ollama while exposing Python-written connector tools (filesystem, web, system, sqlite, plugins) to the dashboard, Claude Desktop and any MCP client over HTTP or stdio. Every outbound webhook, Discord, Slack, email or push action waits for Approve/Deny, prompt templates are published as MCP prompts, and all JSON-RPC traffic is visible in a live inspector.

Enables clients to connect to Gemini, local Ollama models, terminal commands, and a restricted filesystem server through generated Codex and Claude Desktop configurations.

Enables Codex to delegate deep research, PRD drafting, design thinking, and current-information lookups to ChatGPT Web/App via a local MCP connector, saving Markdown results to the filesystem.

Exposes the full DeepSeek API surface — chat, reasoning, fill-in-the-middle, prefix completion, function calling, JSON mode, logprobs, streaming, multi-turn sessions, and local file analysis — to any MCP client, alongside a raw passthrough tool for arbitrary endpoints and parameters. Defaults are deliberately uncapped, with opt-in environment variables for token limits, output truncation, and filesystem confinement.

A containerized MCP bridge that lets local or cloud LLMs access your filesystem and perform web searches via Ollama and FastMCP.

A modular, security-focused MCP server that exposes enterprise-ready tools for filesystem, database, REST API, system utilities, and AI generation, with authentication, authorization, and audit logging.