"Dash" matching MCP servers:

A local dashboard and Model Context Protocol server for managing a multi-project portfolio whose entire state lives in markdown files.

An MCP server that integrates Shaka Packager with Claude AI applications, enabling Claude to analyze, transcode, and package video files for streaming in formats like HLS and DASH.

An MCP server that gives any agent read/write access to office documents and Jupyter notebooks, with stable cell and shape addresses, bounded windows, and safety safeguards.

Enables creating, reading, editing, and verifying PDF, Word, Excel, and PowerPoint documents through MCP tools that return structured results. It preserves source files by default for edits and supports local stdio operation without network requests.

MCP server wrapping DeepSeek's agent harness tools into minimal/standard modes, enabling persistent shell, file editing, search, job management, and more via natural language.

Enables PDF reading through MCP with text extraction, Chinese OCR for scanned documents, page rendering, and keyword file search from any compatible MCP client.

A cheap, fast execution layer for MCP agents that delegates file reads, edits, and command runs to a local DeepSeek Harness, reducing cost and latency while keeping the parent agent in control of planning and reasoning.

Enables peer-to-peer messaging and file exchange between DeepSeek Harness instances via 17 MCP tools, with automatic conversation wake-ups and FRP STCP NAT traversal.

Exposes DeepSeek Harness tools to any MCP-compatible client over streamable HTTP, allowing allowlisted operations such as file read, glob, grep, and web search while preserving the harness's sandbox and approval pipeline.

Enables external MCP clients to drive DeepSeek Harness agents for real coding tasks, providing tools for task execution and queueing, session management, sandboxed file access, preset switching, and usage statistics.

Serves a local dsh workspace as a protected Streamable HTTP MCP endpoint, letting authenticated web AI agents read, search, patch, inspect, and operate the project, with optional shell commands, LSP support, and public tunneling.

Exposes SmartCLI's built-in agent tools (file operations, code search, shell commands, web search, memory, and snapshots) as MCP endpoints, allowing external clients to leverage them over stdio or HTTP.

Enables AI agents on Windows to perform millisecond-level file searches across entire drives via voidtools Everything, with path scoping, noise filtering, and token-efficient output.

MCP server with intelligent memory management and file monitoring that enables context-aware AI assistance across multiple LLM providers (Grok, OpenAI, Claude, Ollama) with persistent memory of interactions and real-time file system changes.