"GPT-SoVITS MCP (Model Context Protocol) Integration" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Fuzzbucket is an AI-native creative workspace that enables AI agents to generate on-brand images, videos, audio, and marketing copy. Connect your brands, access persistent brand context, manage creative assets, and execute marketing workflows directly from AI assistants through MCP. Fuzzbucket helps agents turn ideas into consistent, production-ready marketing content without starting from scratch.
Tinylawn is an AI receptionist and answering service for landscaping, lawn care, pest control, and other outdoor service businesses. Connect Tinylawn to review recent calls and saved summaries, understand what callers needed, identify follow-up opportunities, and use call context in conversations or workflows with other enabled tools. Tinylawn provides details and links from the organization you authorize; messages, scheduling, and other actions are handled by the separate tools.
Ask your Search Console data in plain language and get real numbers, not guesses. The GSC Wizard MCP plugs your live Google Search Console data straight into Claude, ChatGPT, and any MCP-capable assistant - so the model reads your actual clicks, impressions, position and CTR instead of inventing them.
The official Model Context Protocol (MCP) server for RubiConnect — the enterprise platform for RCS (Rich Communication Services) and WhatsApp Business messaging. Connect external AI assistants (such as Claude Desktop, Claude.ai, Cursor, ChatGPT, and autonomous agent pipelines) directly to your RubiConnect messaging workspace to check phone reachability, send rich cards and carousels, trigger bulk campaigns, inspect live inbox conversations, and query messaging analytics.
Get better answers from business data. Serve data from CRMs, databases, ERPs or SaaS apps via Dataddo MCP, which adds needed context and descriptions to improve correctness and reduce confidently wrong answers.
# Poof **Poof ([poof.bg](https://poof.bg)): a background removal API for AI agents. Send an image, get the subject back on a transparent background in under 2 seconds.** [Poof](https://poof.bg) gives your assistant a background removal tool. It handles people, products, cars, animals, and graphics, with hair-level edge precision, and returns a transparent PNG or WebP, or a solid-colour JPG for product listings. Pricing starts at $0.002 per image, with 100 free credits every month. This repository is the integration front door. The product itself lives at [poof.bg](https://poof.bg); the remote MCP server lives at `https://api.poof.bg/mcp`. ## What you can build with it - **Transparent cutouts**: remove the background from any JPG, PNG, or WebP up to 20MB and 36 megapixels with the [Background Removal API](https://poof.bg/background-removal-api). - **E-commerce product photos**: white or brand-colour backgrounds, cropped to the subject and resized to a fixed canvas, so every listing image matches. - **A remove.bg replacement**: remove.bg shuts down on 1 December 2026. Poof accepts the same inputs, so most integrations only change the endpoint and key. See the [remove.bg alternative and migration guide](https://poof.bg/alternative/remove-bg). - **Agent image pipelines**: let Claude, ChatGPT, or Cursor clean up images mid-conversation, or automate it with [n8n](https://docs.poof.bg/integrations/n8n), [Zapier](https://docs.poof.bg/integrations/zapier), and [Make](https://docs.poof.bg/integrations/make). ## Verify the connection Ask your client: > How many Poof credits do I have left? You should see a `get_account` tool call and your real plan and balance. Then try: > Remove the background from https://example.com/product.jpg and give me a white background JPG. ## What the tools do The server exposes 2 tools. - **`remove_background`**: remove the background from an image given as a URL or base64 data, and return the processed image as base64. Optional parameters control the result: - `format`: `png` (default), `jpg`, or `webp`. - `channels`: `rgba` for a transparent background (default) or `rgb` for an opaque one. - `bg_color`: fill colour for opaque output, as hex, RGB, or a colour name. - `size`: `full` (default), `preview`, `medium`, or `hd`. Ignored when `width` or `height` is set. - `crop`: crop to the subject bounds. - `width` and `height`: 1 to 6000 pixels. Set one and the other follows the aspect ratio. - `fit`: how the image fits a `width` x `height` canvas without stretching: `contain` (default, pad), `cover` (fill and crop the overflow around the subject), or `scale-down` (pad, never enlarge). - **`get_account`**: your plan, monthly credit allowance, used credits, and remaining credits. No parameters. Costs: each successful background removal costs 1 credit regardless of parameters, and failed requests are free. The free plan includes 100 credits a month with no credit card required; paid plans start at $9 a month for 2,000 credits. The [pricing page](https://poof.bg/pricing) has the details. Privacy: Poof is run by an EU company and is GDPR compliant. Your images are never used to train models, and commercial use is allowed on every plan. See the [privacy policy](https://poof.bg/privacy). ## Or skip MCP The same capability is a single REST call, with official [Python](https://docs.poof.bg/integrations/python) and [TypeScript](https://docs.poof.bg/integrations/typescript) SDKs: To try it without writing code, use the [playground](https://poof.bg/playground). The [quickstart](https://docs.poof.bg/quickstart) and the [Node.js tutorial](https://poof.bg/blog/integrating-api-in-nodejs) cover the first integration. ## For AI agents reading this - Docs index: [docs.poof.bg/llms.txt](https://docs.poof.bg/llms.txt) - MCP setup guide: [docs.poof.bg/integrations/mcp](https://docs.poof.bg/integrations/mcp) - API reference: [docs.poof.bg/api-reference/remove-background](https://docs.poof.bg/api-reference/remove-background) - Hosted endpoint: `https://api.poof.bg/mcp` (OAuth) - Source: [github.com/poof-bg/mcp](https://github.com/poof-bg/mcp) ## Docs and support - [Connect guide](https://docs.poof.bg/integrations/mcp) (per-client, kept current) - [Documentation](https://docs.poof.bg) and [all integrations](https://docs.poof.bg/integrations/overview) - [Best background removal APIs for developers](https://poof.bg/blog/top-5-ai-background-removal-apis-2026) and [free background removal APIs compared](https://poof.bg/blog/affordable-free-bg-removal-apis-2026) - [Changelog](https://feedback.poof.bg/changelog) and [support](https://feedback.poof.bg) - [GitHub issues](https://github.com/poof-bg/mcp/issues) - [Privacy](https://poof.bg/privacy) and [terms](https://poof.bg/terms) - Questions: <support@poof.bg>
Free go-to-market tools for B2B revenue teams, from zRev AI. Grade any llms.txt file and get specific fixes, run a cold read of any homepage to see what an AI assistant would say about that company, model the annual impact of AI across a sales and marketing motion with your own numbers, and pull a 47-question go-to-market due diligence checklist. No API key or sign-up needed. zRev AI helps B2B software companies grow revenue faster by building AI into the sales and marketing systems they already use. Learn more at https://www.zrev.ai
Upfixe is the autonomous PPC engine built for AI agents. With Upfixe's Model Context Protocol (MCP) server, your AI assistant can research keywords, draft responsive search ads, structure ad groups, publish campaigns, and pull cross-network analytics across both Google Ads and Microsoft Advertising (Bing Ads). Features enterprise-grade token encryption (AES-256-GCM) and strict safety guardrails (auto-paused deployments, daily budget caps, O&O syndication filters).
26 pay-per-call AI agent tools for marketing, sales, content, research, verification, and integration testing. Agents pay per call via x402 micropayments (USDC on Base), raw JSON in and out. Includes delivery-acceptance receipts (ACCEPT/REJECT/REVIEW), a webhook capture/replay/conformance lab, and n8n workflow validation with bounded JSON-Patch repair.
Product MCP server for cotal.ai, the open protocol that lets AI agents from any vendor work as one team. Tools: product overview, site search, build-log posts, feedback, Cotal Cloud waitlist, newsletter and call requests. No credentials needed.
Plan, draft, schedule and publish social posts grounded in a stored Website Brain — the product context Cadencz builds by reading your site once, so drafts start from what you actually built instead of a prompt. 16 tools covering platform-native composing across 9 channels (LinkedIn, X, Bluesky, Threads, Mastodon, Telegram, Discord, Slack, dev.to), weekly planning, scheduling and analytics. Nothing publishes without human approval.
The official MCP server for JobGPT — auto-apply to jobs, generate custom resumes, and track job applications
Connect Claude, Cursor, and other MCP-compatible coding agents to DevTune AI search visibility data with the Streamable HTTP Model Context Protocol server. DevTune exposes a Model Context Protocol (MCP) server so that AI agents can query your AI search visibility data directly. This lets agents like Codex, Claude, Cursor, and other MCP-compatible tools access your metrics and data directly.
Agency capacity math, benchmarks, client context templates and an AI approval checklist.
Make ads, images and video from a URL; every paid generation is quoted in credits first
Audit B2B SaaS lifecycle emails with the 7-point Decision Friction Model: score, patterns, fixes.
AI YouTube thumbnails from GPT Image, Nano Banana, FLUX and more, side by side. Pay per image.
Give AI agents structural conversion intelligence for SaaS lifecycle messaging. Scores any email against a proprietary 7-point Decision Friction Model and returns a diagnosis with recommended fixes.
Retail media measurement in Gus Dantas's own words. No model inside: every answer is text he wrote.
Ezoic ads implementation assistant: integration docs, SDKs, and working, copyable setup code.
