"The term pHqghUme" matching MCP servers:

Enables AI coding agents to persist structured long-term memory (gotchas, architecture, API notes) in a .context folder and sync across devices and agents via Git.

local-first long-term memory for MCP agents (no DB, no API keys)

An MCP server that provides LLMs with full read/write access to an Open Knowledge Format (OKF) knowledge bundle, enabling structured, persistent long-term memory.

Enables AI assistants to search and retrieve content from local Markdown notes using term-frequency scoring.

Enables coding agents to use an Obsidian vault as long-term memory, with search, reading, and writing of notes, plus automatic capture of learnings that are propagated to MOCs, daily notes, and the knowledge index with git commits.

Turns your Obsidian vault into an MCP-enabled workspace with tools for reading/writing notes, managing folders, running semantic searches, and maintaining long-term memory—all while keeping data local to your vault.

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 modular MCP server suite that provides core tools, long-term memory, knowledge RAG, skills registry, and external integrations for AI agents.

Enables localized file system operations such as listing, reading, editing, creating, deleting, and searching files, scoped to the directory where the server is invoked.

locidx

Serves as a machine perception and action hub, enabling heartbeat monitoring, screen/window/clipboard sensing, todo management, long-term memory, and web/file operations through both CLI and MCP interfaces.

Provide all changes of the specified signal name to the model's context. This is useful for large waveform files with many signals where you cannot fit the entire VCD file into the model's context window.

Enables loading and accessing LAML (YAML-based markup language) documents from the filesystem through the Model Context Protocol.

Saves the image currently on the system clipboard to a file (PNG or JPG), enabling AI agents that cannot access the clipboard to use clipboard images.

An MCP server that lets AI agents compress images, PDFs, video, audio, documents, and archives, writing the smaller versions back to disk via the MiCompress service.

Gives Notion Custom Agents real file tools and a real terminal over the Model Context Protocol, enabling them to read, edit, and run commands directly on the user's machine.

Enables editing of STL 3D model files through the Model Context Protocol, providing tools for reading, writing, transforming, and creating primitive shapes.

Enables Claude Desktop to interact with an Obsidian vault through the Local REST API, allowing file listing, reading, searching, creating, and updating markdown notes.

Provides lightning-fast filesystem search on Windows via the Everything SDK, with fallback to HTTP API.

This server is to precess files for LNR.