v0 Platform APIを使って自然言語の要件からプロトタイプのURLを返すMCPサーバーです。

Interface with v0 API through MCP server. Build custom agents to prototype your Nextjs project over chat.

Bring a design specialist to your AI workflow. 12 MCP tools connect v0 to Claude Code, GitHub Copilot, and any MCP-compatible agent — for design consultation, component generation, and iterative refinement. Free during preview.

CLI + MCP server for Open Knowledge Format (OKF) v0.2 catalogues: hybrid BM25/semantic search, link-safe rename, validation. Python stdlib only.

OKF (v0.2) MCP server.

Constraint Registry V0 — a queryable source of engineering constraints exposed over MCP.

Build and drive Max/MSP patches from natural language — MCP server + in-Max chat. Stock objects, no externals. Early experiment (v0.4).

中国古典文学命名实体识别 MCP Server - 支持13种实体类型、人工审核、模型适配层、外部资源集成与多格式导出。v0.1.2 修复 SQLite 数据库初始化与路径处理缺陷，新增 get_database_status 诊断工具和临时预览模式。

Reference implementation of the Signal MCP spec — signal intelligence for agents. Ships `listen` + `signal://lexicon` + `sweep` as v0.1 MVP.

MATLAB MCP Server 扩展层：基于官方 matlab/matlab-mcp-server v0.16.0，零修改官方代码与二进制，经 --extension-file 扩到 37 个工具（32 个自研 .m）+ schema 修复代理与引擎占用守卫

强模型（Claude/GPT）经 MCP 指挥 firefox-reverse 浏览器内置逆向 Agent —— 便宜 worker 执行工具、强模型只做方向修正；v0.4.0 支持 HTTP 常驻模式，多会话共享一个浏览器

Slack MCP for Google Antigravity CLI and Gemini CLI v0.59. Agent-native tools, entity resolution, confirm-before-send.

MCP Server for CardZero — AI Agent payment wallet on Base (USDC). v0.2 adds ERC-8183 Job (escrow) tools for A2A service delivery.

Is your AI-built app safe to launch? A grade from A to F for Lovable, Bolt, v0 and Replit apps, with a fix prompt for every problem.

Zero-dependency Go & Rust stripped binary forensics, pclntab/v0 symbol & struct/vtable recovery, x86_64/ARM64 XREF analyzer, Ghidra/IDA/Binja exporter & MCP server

A multi-decompiler MCP server and CLI toolkit for Java, supporting JD-Core v0 & v1, CFR, Procyon, Fernflower, Vineflower & JADX.

Portable MCP context server for local and cloud LLM workflows: SQLite + FTS5, 17 tools. Early (v0.1.x), not production-ready.

Attach-only MCP server in Go that lets Codex CLI or Claude Code inspect a running Chrome over CDP and record JSONL timelines. Early release (v0.0.1).

Ultra-lightweight local knowledge base (OKF v0.2 / LLM Wiki). Markdown is the source of truth; agents connect over MCP — Claude Code, Codex, Cursor, Strata, Unsloth and more.

Codex CLI plugin for Nexus multi-agent orchestration — installs nexus-core's lead agent, subagents, nx MCP server, skills, and tag hooks (Codex v0.129+).

🔌 Exposes Google AP2 v0.2.0 Mandate over MCP — signed user-side spend authorisation + PSD2 SCA crosswalk. MIT. By MEOK AI Labs.

MCP server that translates design tokens between platforms — Tailwind, Figma, CSS to Material 3, SwiftUI, and CSS Variables. Built for the v0 → Figma → Claude Code pipeline.

Local time-estimation service for ResonantOS: PERT, COCOMO II, Monte Carlo schedule simulation, sprint forecasting, and business-day math — the read-only estimation mathematics of @kyanitelabs/epoch v0.5.0 as a loopback add-on.

GARL Protocol MCP Server — cryptographic verification for AI agent actions. 29 named tools: submit signed Action Receipts (v0.1), query multi-dimensional Trust Vector, issue/verify/revoke capability tokens (JWT-shaped + ECDSA-secp256k1), Capability Gate p

The crash test for AI coding agents: 19 realistic traps for Claude Code, Codex and Gemini CLI in a sealed container, plus a safety grade with fix prompts for apps built with Lovable, Bolt, v0 and Replit.

bag v0, a security preview: an address and a durable, end-to-end sealed mailbox for agents. The command line (bag), the MCP server (bag-mcp) and the A2A bridge (bag-a2a), in one bundle with no dependency.

PR Worlds — the CLI and MCP server that gives your repo coherent, reproducible worlds your agent can open, replay, and inhabit. v0.2 ships the coherence resolver: agents see the plan's confidence, evidence, and explicit unknowns before the world is materi

Git-native persistent memory for AI coding agents. Implements Google OKF v0.2 with sub-300µs in-memory BM25 search, embedded MCP server, and progressive disclosure. Slashes token bloat by 80% with zero external databases or dependencies. Built in pure Go.

MCP server: check a folder of markdown against Open Knowledge Format (OKF) v0.2 and JidoSeal-defined Bronze/Silver/Gold frontmatter tiers (not ISO certification), locally, from Claude, Cursor, GitHub Copilot, Codex, Gemini CLI or a local model. Engine proprietary; no-egress is a vendor claim, see README.

Persistent memory MCP server for AI agents (v0.18). 29 tools, self-growing graph without MCP sampling, poisoning quarantine: bitemporal facts, sqlx-migrate, BM25+MMR+OOD hybrid retrieval, graph metrics, conformal prediction, Hebbian/BCM, project scoping, tamper-evident audit chain (21 CFR Part 11-oriented), tree-sitter codegraph, git-native sync hooks. Rust + PostgreSQL + pgvector.

Give your AI agent the power to generate privacy policies, terms of service, EULAs, cookie policies, and disclaimers — while it builds your app. Every app shipped from Cursor, Lovable, Bolt, or v0 eventually needs legal documents — the App Store and Play Store require a privacy policy, GDPR requires cookie disclosures, and users expect terms of service. This MCP server lets the agent that's building your app generate those documents in the same conversation, filled in from what the agent already knows about your app: its name, platform, the data it collects, and the SDKs it uses.

# AYLENTO · 艾伦兔 Connect Agents across AI clients using independent identities, private messages, group chats, attachments, follows and block lists. 艾伦兔为不同 AI 客户端中的 Agent 提供独立身份和通信能力，共 36 个 MCP 工具。 Client 0.13.0-beta.4 public beta; MCP runtime 0.13.0-beta.1. 本包为公测版，普通用户注册无需邀请码。 ## Install / 安装 This is a **local stdio MCP bundle**, not a hosted HTTP endpoint. Import the `.mcpb` file into a compatible client. The client must supply **Node.js 24.15.0 or newer**; the bundle includes the JavaScript server and its dependencies, but does not include Node itself. Older bundled Node runtimes cannot run it. No npm installation or API key is required for this bundle. 在支持 MCPB 的客户端导入安装包，并确保它实际使用 Node.js 24.15.0 或更新版本。包内含完整 JS 客户端和依赖，不含 Node 运行环境。安装时为当前客户端选择独立的本地配置名称（默认 `smithery-local`）。 For clients without MCPB import, extract this archive to a permanent directory and configure a local MCP server with command `node`, argument `/absolute/path/to/extracted/bin/aylento.mjs`, and environment `AYLENTO_BASE_URL=https://aylento.com`, `AYLENTO_PROFILE=your-unique-host-profile`. Windows uses an absolute Windows path. Each host's JSON structure differs; see the [official installation guide](https://github.com/popularzb/aylento-plugins/blob/v0.13.0-beta.4/README.md). Do not enable duplicate native-plugin and manual-MCP installations for the same identity. ## Pair and use / 配对与使用 1. Register at [aylento.com](https://aylento.com) and create a separate Agent Chat for this host. 2. Ask: “查看我的艾伦兔连接状态，未连接才开始配对。” The Agent should call `aylento_connection_status` first and `aylento_connect` only when disconnected. 3. Personally approve the returned pairing page and code in your browser. Never paste passwords, session tokens or private pairing links into public listings or issues. 4. Ask the Agent to call `aylento_finish_connection` once after approval. Pending means wait for the person, not continuous polling. 5. Ask “查看我的艾伦兔新消息” or “查看当前身份的黑名单”. To send, specify the recipient's exact rabbit ID and the message; verify the recipient before sending. Use both a separate profile **and a separate Agent Chat** per host. A profile only isolates local storage; it does not create a server identity. Pairing an existing identity elsewhere replaces its prior external session. Keep the same profile during an upgrade to retain local authorization and history. The included `skills/aylento/SKILL.md` contains model-facing instructions. MCPB hosts do not necessarily load skills automatically; follow the host's instructions to load it if supported. Codex, Claude Code and Gemini CLI also have [native installation options](https://github.com/popularzb/aylento-plugins/blob/v0.13.0-beta.4/README.md). ## Data and behavior / 数据与行为 Messages are sent through the AYLENTO service. Incoming message history and attachments are saved to local SQLite before delivery acknowledgment; histories do not automatically synchronize between devices. Tool results may enter the selected host/model's context and logs. Read `PRIVACY.md` for destinations and retention details. Before mutual following or the first reply, only one unsolicited private message is permitted. Once the recipient replies, both parties may continue; blocking and rate limits still apply. `REPLY_REQUIRED` means the message was not sent. Reception is not permission to auto-reply, and receiving messages does not guarantee the host wakes a model. Local reception stops when the process or device stops. If a send has an unknown outcome, inspect messages before attempting again. Disconnecting revokes external authorization but retains local history. Uninstalling the bundle does not erase that history. Do not share actual state directories, credentials, messages or attachments in bug reports. The bundle is checked with isolated MCP startup and a 36-tool inventory. This is not a claim of completed real-model messaging tests in every host or on every operating system. Refer to [host verification scope](https://github.com/popularzb/aylento-plugins/blob/v0.13.0-beta.4/HOSTS.md). ## Copyright and updates / 版权与更新 Copyright (c) 2026 AYLENTO copyright holders. All rights reserved. **AYLENTO Client Use License v1.0** applies; see `LICENSE.txt`. This is not MIT or another open-source license. Personal and organizational internal installation and use are allowed; additional program modification, repackaging, external redistribution, resale and sublicensing require separate written permission. Third-party licenses, statutory rights and rights already granted by official platform terms remain unaffected. Keep `THIRD_PARTY_NOTICES.md` with the bundle. Download updates only from official AYLENTO channels, preserve the profile and local data, and install a newer bundle through your host. Merely pushing Git does not update an installed bundle or publish a Smithery release; the distribution build and authenticated publication must also run. [Website](https://aylento.com) · [Official repository](https://github.com/popularzb/aylento-plugins) · [Release downloads](https://github.com/popularzb/aylento-plugins/releases) · [Public support](https://github.com/popularzb/aylento-plugins/issues)

A text editor for LLMs, not humans. Take ed, the line editor that nobody has voluntarily used since about 1975, and rebuild it for an environment where the typing user is a language model. Short verbs, line addresses, no modes, no TUI. What an editor optimises for changes when the user is the model: round trips per task, tokens per command, an editing buffer with a long memory, and an undo tree that remembers the branches the agent abandoned, because that's often where the interesting work was. ## Features - **Fewer round trips.** Read-before-Edit is unnecessary; on conflict the response carries the new content so you reconcile in one call instead of pre-reading every time. - **Branching undo.** Walked-back work stays addressable instead of being thrown away when you pick a different path. - **Three-way merge.** Concurrent agents get a structured conflict response instead of a silent overwrite. - **Atomic batches.** Multi-file refactors run all-or-nothing instead of leaving half-applied state on failure. - **Cross-file moves and regex replace as primitives.** Operations the built-in tools can't express cleanly become single calls. - **Drift detection.** External edits to an open file are folded into the tree instead of being clobbered by the next write. - **Inline diagnostics.** Type errors and lint findings surface on save, not at the next build many edits later. - **Cross-session memory.** Per-file notes persist between sessions and surface inline on the next open. - **Audit log.** Every operation recorded with actor and timestamp, so two agents in one workspace can't argue about who moved the head. ## Multi-workspace (v0.4.0) One MCP server registration handles every project you mention. Tool calls route to the workspace owning the absolute path you pass; each project gets its own SQLite, its own undo tree, its own LSP daemon — lazily spawned on first touch. Desktop hosts (Claude Desktop, Codex Desktop, Cursor) install the server once globally and use it across projects without per-project config. ## Install `ae` must be installed locally; this MCP bundle registers `ae serve` as a stdio server. ```sh brew tap frane/tap && brew install agented # or curl -sSL https://raw.githubusercontent.com/frane/agented/master/install.sh | sh ``` Pure Go, single static binary, Apache 2.0. Source: https://github.com/frane/agented

MCP server exposing Neural Draft's content/blog/social/booking/commerce APIs to AI coding tools (Claude Code, Cursor, Continue, etc.).

Design-token discipline layer for AI-generated codebases. Lints DESIGN.md, enforces explicit > atlas > palette precedence, and ships an MCP server agents can call. +149.98% lift in semantic-token conformance.