MCP Servers, Tools and Agent Skills

SoloMD is a Markdown editor for writers, researchers and developers who want plain text notes with AI assistance. It combines a Typora-style writing interface with tools for searching a note collection and letting agents work on it.

EverOS is a Python library and memory runtime for developers building agents that need context across sessions and applications. It keeps conversations, files and task histories in readable Markdown that you can edit and version with Git.

PipesHub connects company knowledge to AI search and agents for teams whose files and conversations sit across business apps. It can also supply that context to coding assistants and custom applications.

M Flow is a self-hosted memory engine for developers whose AI agents need to recall past conversations and work preferences. It runs in Python or Docker and supports Ollama for local model use, alongside providers such as OpenAI and Anthropic. Choosing a cloud provider sends model requests to that service.

Memind gives AI agents long-term memory for projects, user preferences and past tasks. Developers can use it to carry context between sessions while keeping links to the material each memory came from.

Shinkai lets people build AI agents to automate tasks without writing code. Its desktop app can run agents entirely offline with local models, including workflows that handle sensitive data.

LocalText2Voice is an MIT-licensed desktop app for people producing audiobooks, lessons and podcasts from long texts. Its local speech engines work offline after model downloads, keeping your text and generated audio on your computer. It runs on Windows and Linux; macOS isn't officially supported.

Composio's local CLI connects coding agents such as Claude Code to a hosted service for app actions and authentication. It's for people adding integrations to an assistant or building their own agents. The CLI runs on your machine, but requires a Composio account and internet access; model processing depends on the connected agent and its provider.

Docker MCP Gateway connects AI applications to tools and data through a shared gateway. It's for developers who want coding assistants to use the same server configuration while local tool servers run in isolated Docker containers.

Auto Browser lets AI agents operate a live browser that a human can take over when a login or fragile page needs attention. It's built for internal dashboards, account workflows and operator-assisted browser QA.

Dingo combines rule checks, LLM judges and agent-based evaluation to assess AI training data, fine-tuning datasets and production systems. It's an open-source Python tool under Apache 2.0 for data engineers, ML practitioners and researchers who need to find data problems and compare model or application quality. Evaluation can run locally or across a Spark cluster.

Dory is a native macOS app for developers who want containers, Linux machines and coding agent environments on their own Mac. It provides a local runtime managed through both a graphical app and a CLI.

Next AI Draw.io turns written descriptions and uploaded files into diagrams you can edit on a draw.io canvas. It's for people creating technical diagrams who want AI help with drafting and revisions while keeping control of individual shapes.

MinerU is a local document parser for people preparing files for AI workflows. It handles scanned PDFs, academic papers and other documents containing OCR text, tables, figures or complex layouts.

GenOffice is a Microsoft Office alternative for people who want to edit documents on their own computer and let an AI agent make changes inside the files. It works with native .docx, .xlsx and .pptx files alongside PDF, Markdown and HTML.

sage-wiki turns a document collection into a linked wiki and knowledge graph for researchers, teams, and AI agents that need reusable knowledge across tasks.

ExtractThinker is a Python library for developers who want to extract structured data from documents using models running locally through Ollama. It also supports OpenAI, Anthropic and Groq. With a cloud provider, extraction sends document content to that service, requires provider credentials and may incur charges.

mcp-use is a TypeScript framework for developers building MCP servers and apps for ChatGPT, Claude, and AI agents. It brings tool definitions, interactive interfaces, and testing into one development framework.

OKF Agent Memory gives AI coding agents persistent project knowledge across sessions. It's for developers who want agents to retain architectural decisions and project constraints without loading the entire knowledge base into every prompt.

projectmem gives AI coding assistants a persistent record of a project's debugging history and architectural decisions. It's for developers who want agents to carry useful context between sessions and check past failures before repeating them.

Vexa is a meeting bot and transcription API for developers adding meeting features to products and teams connecting calls to AI agents. Its bots join Google Meet, Microsoft Teams and Zoom to capture the conversation.

AutoRAG Agent searches documents and connected archives where they already live, then reads the relevant sources to produce answers with file, page or line references. It runs on macOS, Windows and Linux and suits people researching information spread across local files, messages and notes.

PYTHIA monitors world events and generates forecasts for people tracking global risks and developers building AI agents that need current-world context. It combines Osiris's globe and live feeds with MiroFish's forecasting approach and local Ollama models.

Gauntlet Loop is an AI agent skill for people who want generated websites, writing or software judged against a specific example. It writes a prompt that asks an agent to build, compare and revise work against a reference you choose.

AgentRQ lets people assign work to AI agents, follow their progress and answer requests for decisions from a browser, phone or desktop app. Agents run on computers you own; the task dashboard can run on your server or the hosted service.

KaaS is a self-hosted AI knowledge base for personal research and teams preserving knowledge across role changes. It turns notes, documents and transcripts into wiki articles you can read, edit and query.

Activepieces is a self-hosted automation platform for teams that want AI agents and app workflows on their own servers. It runs with Docker or Kubernetes, alongside a managed cloud offering. Self-hosting controls where the app runs; connections to Anthropic, OpenAI, AWS Bedrock or Google Gemini still send model requests to those providers using your credentials.

NLM Memory collects coding conversations into one searchable store on your machine. It's for developers who switch agents or editors and need earlier reasoning to remain available when decisions change.

bb-browser gives AI agents access to your local Chrome session, including the website accounts you're already signed into. It's for people building agents that need to work with authenticated websites without a separate API integration for each service.

SpecShip is a workflow extension for Kiro that coordinates AI agents through planning, implementation, review and pull request preparation. It's for developers who want agent work checked against written requirements and tests.

AWS MCP Servers connects coding assistants and AI agents to AWS documentation, infrastructure tools, and cloud services. It's for developers who want their assistant to work with AWS resources and service-specific guidance.

OpenShorts turns podcasts, interviews and other long videos into short clips for TikTok, Instagram Reels and YouTube Shorts. It's for creators and social media teams who want AI to select excerpts and prepare them for posting.

TrailSnap is a self-hosted AI photo album for people and families who want to organize their pictures and retrace past trips. It connects photos with places and travel records so you can find a particular memory or review a whole journey.

Stakpak is an open source AI agent for developers and DevOps teams managing production apps on their own machines or servers. It works interactively in a terminal or runs continuously to investigate problems, take corrective action and ask for human help.