Packages

[](https://archestra.ai/mcp-catalog/Adeptus-Innovatio__solvitor-mcp)

Agentify is a CLI/TypeScript tool that transforms an OpenAPI (Swagger 2.0 or OpenAPI 3.x) specification into multiple “agent-ready” interface formats (notably including an MCP server and various agent tool description files) and can also generate a standalone CLI that makes real API calls.

Model Context Protocol server for Perplexity's web search

Audrey is a local-first persistent memory layer for AI agents (including Claude Code). It encodes episodic events into a SQLite-backed store (with vector search via sqlite-vec), recalls relevant memories per prompt, and runs maintenance (“dream”/consolidation) to consolidate episodes into semantic/procedural knowledge with confidence decay and contradiction/validation handling. It can be used as a JS SDK, an MCP server with Claude Code memory tools, a CLI with lifecycle hooks, and a local REST API server.

Reddit User MCP Server - Access Reddit posts, comments, and interact with Reddit via MCP

Provides a Model Context Protocol (MCP) server (Go-based) that connects to Bizfly Cloud and exposes tools for managing cloud resources such as servers, volumes, load balancers, Kubernetes clusters, databases, DNS, CDN, KMS, container registry, autoscaling, and alerts/receivers via standard I/O for MCP clients (e.g., Cursor, Claude Desktop).

camofox-mcp is an MCP server that exposes a separate CamoFox browser server to MCP-compatible AI clients (stdio for local desktop clients; an optional HTTP mode for remote clients). It provides a toolset for web navigation, interaction, observation/extraction, downloads, and session/profile reuse.

WinWright is a Windows-only automation server that exposes ~59 tool endpoints to AI agents via Model Context Protocol (MCP) for controlling and inspecting Windows desktop applications (WPF/WinForms/Win32 via UI Automation) and Chrome/Edge (via CDP). It supports recording actions into portable JSON scripts for deterministic replay (winwright run) and can attempt self-healing of broken selectors (winwright heal).

Model Context Protocol (MCP) server for fetching blockchain data from Codex.io

ContextKeep is a standalone memory server for AI agents that exposes MCP tools to store, retrieve, search, and list persistent memories. It supports local (stdio) and remote transports (SSE) plus a web dashboard for managing memories stored on the host (SQLite-backed per changelog).

MCP server for Cursor Background Agents API - Launch and manage AI coding agents on GitHub repositories

I [wrote an article](https://maximilian-schwarzmueller.com/articles/whats-the-mcp-model-context-protocol-hype-all-about) and [created a video](https://youtu.be/sVC4DL2secQ) about MCPs and why they're useful in my opinion.

[](https://archestra.ai/mcp-catalog/devilcoder01__weather-mcp-server)

Provides an MCP (Model Context Protocol) stdio server that exposes Frida dynamic instrumentation capabilities (process/device management, script injection, and an interactive JS REPL) to MCP-compatible AI clients such as Claude Desktop.

Provides an MCP server (remote and local) that connects AI agents to GitHub so they can query repositories and code, manage issues/PRs, inspect GitHub Actions/workflows, and perform related automation through MCP toolsets.

Pre-backlog idea management with decision tracking, signal aggregation, and RICE scoring.

MCP server that lets AI models execute commands in an active iTerm2 terminal session. Provides tools to write commands, read output lines selectively for token efficiency, and send control characters (Ctrl+C, Ctrl+Z). User and AI share the same terminal window for real-time collaboration.

[](https://pypi.org/project/mcp-server-gemini-bridge/)

[](https://pypi.org/project/mcp-server-openai-bridge/)