MCP Toolkit for Flutter AI Agent Driven Development (MCP/CLI + custom client side tools) - via closed feedback loop (visual & semantic snapshot) and high client side customization adaptable for any Flutter app. Nowadays it is often called as agentic harness.

MCP server that gives AI assistants eyes and hands in the Godot editor: scene editing, input injection, deterministic game-time control, and live runtime state for agent-driven playtesting

Generate images with Flux 2 Klein (Black Forest Labs' distilled fast variant of Flux 2) on RunComfy — bundled with the model's documented prompting patterns so the skill gets sharper output than naive prompting against the same model. Documents Flux 2 Klein's strengths (sub-second latency, multi-ref

Dashboard for monitoring claude code sessions.

Enables AI assistants to read and write a local-first SQLite memory vault from inside a chat — orienting on inherited context, searching and fetching past decisions and notes, wandering linked memories, and recording new ones on demand. All data stays on the user's machine, shared across local and cloud tools via MCP.

SAIL V2 (Secure AI Lifecycle) as an agent skill — the full 91-risk catalog for AI/agent gap assessments, security roadmaps, and compliance checklists. Installs on Claude Code, Codex, ChatGPT, Antigravity, and any SKILL.md-compatible agent.

Claw Orchestrator — run Claude Code, Codex, Antigravity, Grok Build, OpenCode, any ACP agent and custom coding CLIs as one unified runtime. Drop into Hermes Agent, Claude Desktop, Cursor, Cline, Continue, Zed, Windsurf, Goose or any Model Context Protocol

Noodle CLI by Noodle Seed — author, run, and deploy declarative MCP servers. Embedding the assistant in your own web app is @noodleseed/assistant.

Enables AI agents to drive policy evaluation over MCP by starting executions, answering policy questions from case evidence, and reading deterministic outcomes with reasoning traces, while the runtime controls which questions are asked and how answers combine.

IAM Policy Autopilot is an open source static code analysis tool that helps you quickly create baseline AWS IAM policies that you can refine as your application evolves. This tool is available as a command-line utility and MCP server for use within AI coding assistants for quickly building IAM policies.

Enables AI agents and IDE assistants to run zero-config security audits, detect secrets and vulnerable dependencies, and apply adversarial verification to reduce false positives.

Enables AI assistants to operate Shopify stores through 61 risk-tiered tools for store operations, SEO and GEO audits, deterministic analytics, inventory intelligence, feed quality, and safe marketing workflows. It defaults to read-only access and uses previews, bound approvals, and audit logging for writes.

Enables AI assistants to read videos, official subtitles, comments, private messages, and live room/danmaku data, plus scan-QR login and admin-approved sending of replies, comments, and danmaku with writes disabled by default.

Enables an AI assistant to inspect a multicolor 3MF project, convert it into checked, printer-specific files for named multicolor printers, and read validation results locally over stdio.

An MCP server that lets AI assistants preview and apply file organization, duplicate cleanup, and batch renames inside folders you explicitly allow, plus read screen-time statistics and optionally search clipboard history. Every file-changing action is undoable, nothing is deleted permanently, and read-only or path-restricted modes keep the assistant within safe bounds.

Lets AI assistants read cookieless website analytics and manage goals, alerts, and uptime checks through a hosted MCP endpoint with permission-scoped access tokens.

Enables AI assistants to read and write macOS Reminders, Calendar events and Notes through fixed AppleScript tooling, restricted to the lists, calendars and folders you explicitly allowlist. Writes and deletes are opt-in, and no data leaves the app beyond what the allowlist exposes.

Enables AI agents to log into the SIGAA academic system through its web interface and read a student's data: portal info, enrolled and past classes, course topics, participants, grades, attendance, assignments, exams, news, forums, and course plans. It also lets agents download course files and participant photos on demand.

Enables AI assistants to set up and troubleshoot LeadSync accounts by connecting Meta lead forms to Google Sheets, CRMs, and email, mapping fields, adding autoresponders, sending test leads, and investigating lead delivery.

Enables an external AI client to discover tender portal APIs, collect and verify tender listings, combine sections, and select relevant lots from a user request through local MCP tools.

Enables an AI assistant to read a project's git diff and generate Angular-style, company-standard commit messages, then stage and commit the changes on the user's behalf. It runs on the host's built-in AI capabilities with no API key or cost, exposing tools for fetching changes, staging all files, and committing.

Provides a shared, repo-local memory that lets coding agents recall relevant decisions, conventions, gotchas, and open threads, save new entries, coordinate file claims, and cache file summaries across tools and sessions.

Enables AI agents to make policy-scoped payments with spending caps, recipient allowlists, approval thresholds, instant revocation, and an append-only audit trail in a sandbox wallet.

Enables AI assistants to scan-code log into Yuketang and read-only browse courses, slides, classroom replays with page-flip timelines, AI mind maps, notes, and assignment progress. Sessions can be supplied via QR login or environment variables, with separate handling for the four Yuketang regional deployments.