v1.0.0 · no license
An MCP server that lets AI agents automate Microsoft Edge, organizing sessions into labelled tab-group workspaces or separate profiles and providing tools for browser control, screenshots, extraction, and secure sign-in through Edge's password manager.
— · MIT License
Enables models to query a user's Genshin Impact Battle Chronicle through read-only MCP tools, covering account statistics, characters, artifacts, Spiral Abyss, Imaginarium Theater, and exploration progress. It uses per-user encrypted HoYoLAB cookies and works with Open WebUI, Claude Code, Codex, and opencode.
— · MIT License
Enables MCP clients to drive the 4NEC2 NEC-2 engine for natural-language antenna modeling and simulation, including building Yagi models, calculating impedance/SWR/gain/front-to-back ratio, sweeping frequency, parsing .out files, optimizing geometry, and generating pattern/sweep plots.
— · MIT License
Enables LLM clients to inspect live game state and perform deterministic shop, inventory, backpack layout, and combat actions in a running game through a local bridge.
— · MIT License
Enables an AI agent to sign, verify, encrypt, decrypt, and manage OpenPGP keys while private key material stays in gpg-agent and passphrases go only to pinentry. Adds human approval for high-risk operations, typed-fingerprint confirmation for destructive ones, and audit logging that never records plaintext.
— · MIT License
Enables AI assistants to search, randomly roam, and inspect over 65,000 ArchDaily architectural works, including downloading and reading high-resolution images; it also supports notes, two-way sharing with a front-end canvas, and favorites/tag management.
— · MIT License
Enables local voice cloning and multi-take text-to-speech synthesis on Apple Silicon, plus audio/video transcription and subtitle generation, through Claude and other MCP clients.
— · MIT License
A self-hosted MCP memory server that gives every MCP-compatible agent a shared, persistent memory layer, so preferences, project conventions, and past decisions carry across sessions and across different agents and vendors. It combines hybrid keyword-plus-vector retrieval with automatic context injection, zero-config sync, and selective injection of memories by agent and priority.
— · AGPL 3.0
Enables an AI to place zero-cost SIP voice calls to a user's iPhone and hold multi-turn spoken conversations, with speech-to-text, text-to-speech, and barge-in interruption, exposed as MCP tools such as call_start, converse, and call_end.
— · Apache 2.0
Native Model Context Protocol (MCP) server turning AI coding agents into .NET runtime diagnosticians, memory forensic analysts, and CIL binary architects.
— · MIT License
Deterministic Unit-Record Memory Engine for AI coding agents. Eliminates context-window amnesia and compaction bloat via zero-turn workspace hydration, byte-exact registers, and live context telemetry.
— · MIT License
Enables a Codex/GPT conversation to request independent second opinions from DeepSeek through a local stdio MCP tool and receive provider-reported model metadata for response or synthesis.
— · GPL 3.0
Local-first macOS board for domains, servers, subscriptions and repos, with renewal reminders and an MCP server via assetboard-cli.
— · MIT
Enables AI agents and assistants to inspect live system telemetry, check TCP port connectivity, audit environment variables for leaked secrets, analyze and summarize log files, and list Docker containers — all with token-efficient, compressed output.
— · MIT License
Enables AI coding agents to retrieve compact structural codebase context through repository architecture summaries, AST symbol extraction, cyclomatic complexity scoring, and TODO/FIXME hotspot search.
— · MIT License
Enables AI agents and LLMs to persist facts, preferences, and observations in a local SQLite store and to build and traverse subject-predicate-object knowledge graphs across sessions. It provides fuzzy keyword search and graph queries so assistants retain context and recall prior project history without repeating prompts.
— · Apache 2.0
Enables deterministic request screening and, after native owner approval, fixed-target DeadBolt enforcement actions such as kill, deny, revoke, and evidence retrieval through local stdio MCP. Model analysis can advise but cannot approve actions.