MCP Servers, Tools and Agent Skills

RankLLM is a Python toolkit for search researchers and developers who want to compare how AI models reorder retrieved documents by relevance. Its main focus is listwise reranking, where a model considers several candidates together. It supports local inference and optional cloud APIs, and it's open source under the Apache 2.0 license.

ktx gives analytics agents shared metric definitions and business context before they answer questions or write SQL. It's for teams that need agents to reuse approved calculations rather than invent their own each time.

MCP Gateway & Registry gives platform teams a shared catalog and access gateway for the tools their AI agents and coding assistants use. It addresses scattered server connections, credentials and access policies across an organization.

Semantica is a Python toolkit for teams building AI systems that need shared context, traceable decisions and policy checks. It connects facts and decisions to their evidence in queryable knowledge graphs.

Tandem Browser is a desktop browser for people who want AI agents to carry out web tasks alongside them. You and the agent work in the same logged-in session, so you can watch its actions and step in when needed.

Nox is a security scanner for developers building LLM applications, RAG systems and agents with tool access. It traces untrusted input into model calls and model output into dangerous operations, including paths across functions and files.

OpenSandbox gives developers isolated environments for AI agents that need to execute code or interact with browsers and developer tools. It runs on your own infrastructure, locally with Docker or on a Kubernetes cluster.

Embedding Atlas helps researchers and developers inspect embedding datasets and the records behind them. It makes clusters, outliers, and relationships visible alongside the data's metadata.

Tolaria is a desktop knowledge base for personal notes, company documentation, and assistant memory. It keeps your material in ordinary Markdown files that other editors and tools can read.

Fortress is a self-hosted Chromium fork for developers whose scrapers and AI agents encounter browser fingerprint checks. It changes fingerprint behavior inside the browser engine to help automated sessions access protected pages.

MCP Toolbox for Databases connects coding assistants and AI agents to databases. It's for developers who want assistants to inspect data during development or use defined database actions in applications.

ai-memory keeps project context for developers who switch coding assistants or machines. It preserves unfinished work, failed approaches and open questions so the next session can pick up the task.

Atlas Note combines a self-hosted note library with AI search and answers that cite your notes. It's for people keeping meeting records, project notes or personal reference material who want to find related information without remembering exact wording. The browser interface runs on your own Docker-hosted server, and the project is open source under the MIT license.

Hillnote is a writing and planning workspace for people who want local files and AI help inside their editor. It keeps your work as plain Markdown on disk, readable by other editors and accessible to AI agents.

RedAmon is an AI penetration testing framework for security teams testing systems they're authorized to assess. It connects attack-surface discovery, exploit testing and code fixes in one self-hosted workspace.

AlexClaw is a personal AI agent for monitoring information sources and automating recurring tasks on your own infrastructure. It has one operator and no multi-user access control.

MartinLoop runs around coding agents to keep software jobs within agreed boundaries and check their results. It's for developers and engineering teams who want to delegate longer tasks while retaining limits, recovery information and a record of what happened.

Dagu turns existing scripts and runbooks into scheduled workflows for operations, data pipelines, and AI automation. You define dependencies and actions in YAML, then inspect runs and retry failures from its built-in Web UI.

Bifrost is an AI gateway for developers and teams building applications that use local LLMs or multiple cloud providers. It gives those applications a shared API for model access and a central place to manage usage.

Frontman is an AI coding agent for designers, product managers and developers making small frontend fixes in an existing codebase. It connects visible elements in a running app to their source, so teammates can request changes without opening an IDE.

Playwright MCP gives AI agents browser control for testing and tasks that involve interacting with web pages. It reads structured accessibility snapshots, so agents can identify page elements without a vision model.

FastMCP is a Python framework for developers who want AI agents to use their applications and data through the Model Context Protocol (MCP). It covers both publishing tools and connecting to them, with support for servers that run locally or remotely.

ripwire helps AI coding agents find the code they need and check the effects of their edits. It's for developers who want agents to work with focused repository context instead of reading whole files.

Azure MCP Server gives AI assistants access to Azure services so developers can inspect and manage cloud resources through natural language requests. It brings Azure tools into the editor or agent they're already using.

VibeHQ Hub coordinates coding agents for developers who want several agents to work on the same project without conflicting interfaces or unfinished handoffs. It adds shared coordination to Claude Code, Codex and Gemini CLI while preserving each agent's native capabilities.

Chrome DevTools MCP connects AI coding assistants to a live Chrome browser through a locally running server. It's for developers who want an agent to investigate web app behavior alongside its coding work.

Headroom reduces the context that LLM apps and coding agents send to a model. It's for developers whose prompts fill up with repetitive tool results, logs, file contents and retrieved documents. Compression runs locally, but model requests still go to the chosen LLM provider.

LLM Sandbox is a Python library for developers whose AI agents or applications need to execute generated code. It puts execution in containers on infrastructure you control, with support for local deployments and Kubernetes clusters.

OpenDesign is a design workspace for teams that want to turn briefs into working prototypes and visual deliverables with their chosen coding agent. It keeps previews and editable project files together so designers and developers can refine the same work.

Mono Color Skill helps designers and publishers turn a theme, phrase, object or photograph into editorial artwork for posters, zines, covers and packaging. It focuses on limited ink palettes, visible paper and print textures.

Computer Use Linux is a local MCP server and CLI for AI agents that need to interact with Linux desktop apps. Agents can identify accessible controls by role, name or text instead of relying entirely on screenshot coordinates.

Ouroboros is a locally installed workflow engine for developers who want to define requirements and check an AI coding agent's output. It runs through a terminal CLI, a Claude Code plugin or an MCP server. Your chosen coding runtime supplies the agent and model access. When used with Claude through Claude Code's standard cloud connection, model requests go to that external service.

Claude Context adds repository search to AI coding assistants so they can retrieve relevant code without loading whole directories into their context. It's for developers working with large codebases that an assistant needs to understand.

Skill Seekers prepares documentation and code for AI assistants. It's for developers and teams who want reusable skills, coding context or retrieval-augmented generation (RAG) data without preparing the same sources separately for each tool.