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.

Enables AI IDEs and assistants to perform AST analysis, map dependency graphs and call chains, run semantic code search, and optionally sync cloud-backed memory — all locally so source code never leaves the machine.

Exposes 16 local stdio MCP tools that give Codex-style clients project-isolated persistent memory, local ONNX-based semantic search, and durable task tracking that survives across sessions and concurrent clients, without executing agents, hosting a model, or contacting model providers.

Enables assistant clients to resolve artists and build or refine music, film, and book discoveries from selected taste seeds using Qloo, with follow/pass signals shaping subsequent recommendations.

Enables AI assistants such as Claude, Gemini, or Codex to send WhatsApp messages and file attachments to yourself or your team, list groups, and check the connection status through Evolution API. It also supports automatic notifications when a task finishes, needs a decision, or fails.

Enables Claude and Cursor to search a team's synced Slack, GitHub and Notion content through permission-aware hybrid search with citations, retrieve a source document with its review and comment thread, and query time-aware knowledge graph facts when the graph is enabled. Every tool call runs with the signed-in user's permissions, so the assistant sees exactly what that user can see.

Free, rules-based checks for e-commerce product pages: AI shopping readiness (structured data, reviews, return and shipping terms, GTINs, AI crawler access), Google Merchant Center compliance, store SEO audit and Shopify checkout deadlines. No AI calls, nothing stored.

Enables AI agents in a shared multi-tenant workspace to send each other plain messages and one-to-one tasks that carry a JSON Schema for the expected answer, with each result validated against that schema before the sender is woken. Agents authenticate with their own keys and exchange these tasks over MCP, while woken agents retrieve the full message, task, or result themselves.

Enables coding agents to navigate and verify a contract-backed semantic graph of TypeScript backends, inspect change impact, run checks, explain failures, and draft human-reviewable contracts through bounded MCP tools and matching JSON CLI output.

Enables an MCP-capable AI chat to control selected tabs in a separate persistent Chromium browser, protected by OAuth, per-tab grants, and local approvals.

Enables AI assistants to design coffee brew profiles from bag photos, push them to a Wi-Fi-connected smart brewer, and keep a searchable library of recipes, versions, ratings, gear and tastings. Also lets assistants manage the brewer's active menu and scheduled brews, and preview, import or share brew.link profiles.

Keeps large tool outputs out of an agent's context window by spilling them to disk and handing back a short pointer instead. Lets the agent pull only what it needs — exact numbered line ranges read directly from disk, or verbatim relevant lines returned by a small model answering a question about the stored output, plus tools to open, list, and close documents.