Best Pinterest MCP Server Alternatives 2026

There are three different Figma MCP servers and the install command on most listings belongs to the one Figma no longer leads with, so start with which you are choosing. **Figma's recommended server is now the hosted remote one at `https://mcp.figma.com/mcp`** — nothing to install, OAuth in the client, attached with `claude mcp add --transport http figma https://mcp.figma.com/mcp`. It is also the only one with the write and cross-file tools (`use_figma`, `generate_figma_design`, `generate_diagram`, `create_new_file`, `search_design_system`, asset upload and download). **The Dev Mode desktop server ships inside the Figma Desktop app** — enable it in Dev Mode (Shift+D) from the MCP server section of the inspect panel and the app opens a local endpoint at `http://127.0.0.1:3845/mcp`. Figma's docs now describe the desktop server as being for specific organisation and enterprise cases and recommend the remote one instead. Because it runs in the app, it reads whatever you have selected on the canvas: exact colors, typography, spacing, auto-layout constraints, component variants, and — the part a token-based reader cannot do — your Code Connect mappings, so it emits your component names rather than generic divs. It requires a Dev or Full seat on a paid plan and the desktop app must be open. The repository linked here is `figma/mcp-server-guide`, Figma's own setup guide; Figma does not publish the server's source. **The community alternative is Figma-Context-MCP by GLips** (15,500+ stars), installed as `npx figma-developer-mcp --figma-api-key=YOUR_FIGMA_ACCESS_TOKEN`. It authenticates with a Personal Access Token from Figma Settings → Personal Access Tokens and calls the REST API, so it needs no desktop app, works headlessly in CI, and can read any file your account can open — including from a free plan. It exposes the document JSON, node lookup by ID, component listing, text extraction, and rendered-image download. The practical split: pick the official server when design-to-code fidelity and Code Connect matter and you are already paying for Dev Mode; pick GLips when you need automation, a free plan, or a machine with no Figma app installed. Both let an assistant translate a frame into accurate React, Tailwind, or plain HTML/CSS instead of guessing from a screenshot.

The MCP server is free and open-source. Figma: Free tier (3 projects). Professional: $15/editor/mo. Organization: $45/editor/mo. Enterprise: $75/editor/mo.

There is no official SendGrid MCP server, and that is the first thing worth knowing if you searched for one. Twilio owns SendGrid and does publish an official MCP server at twilio-labs/mcp, but that server is generated from Twilio's own Public API specs and covers none of SendGrid's v3 email endpoints — connecting it will not give an assistant a way to send an email or touch a contact list. Twilio's own developer blog acknowledges the gap by publishing a walkthrough on building a SendGrid MCP server yourself rather than shipping one. This entry therefore tracks the most established community implementation, Garoth/sendgrid-mcp (TypeScript, 29 stars), which wraps the SendGrid v3 Marketing API. Its tool surface is broader than most email servers: contact management (list_contacts, add_contact, delete_contacts, get_contacts_by_list), list management (list_contact_lists, create_contact_list, delete_list, add_contacts_to_list, remove_contacts_from_list), sending (send_email for one-off transactional mail with optional dynamic-template data, and send_to_list which creates a SendGrid Single Send against one or more list IDs), dynamic templates (create_template, list_templates, get_template, delete_template), plus get_stats, validate_email, list_verified_senders and list_suppression_groups. Those last two exist because SendGrid rejects sends from unverified senders and requires either a suppression_group_id or a custom_unsubscribe_url on a Single Send, so an agent has to look both up before it can complete a campaign. The README is explicit that only v3 APIs are supported — legacy templates will not work. Install is from source: git clone, npm install, then point your client at the built entrypoint with SENDGRID_API_KEY in the environment. Two cautions. The npm package named sendgrid-mcp is a different project (deyikong/sendgrid-mcp, 3 stars, which does offer a READ_ONLY mode) — do not assume npx installs the repo described here. And this server exposes delete_contacts, delete_list and delete_template, which are irreversible against a live marketing database; scope the API key narrowly rather than granting full access.

The MCP server is free and open-source. SendGrid (by Twilio): Free tier (100 emails/day). Essentials: $19.95/mo. Pro: $89.95/mo. Premier: Custom.

The YouTube MCP Server by Zubeid Hendricks connects AI assistants to the full YouTube Data API v3, letting Claude search videos, pull transcripts, manage content, and run analytics without leaving the conversation. It is one of the most complete community YouTube MCP servers, exposing tools across several areas: video management (search by keyword, retrieve metadata, get statistics, and list a channel's uploads), transcript retrieval (fetch full captions for any public video for summarization or Q&A), channel operations (look up channel details, subscriber and view counts, and recent activity), playlist tools (list and inspect playlist contents), Shorts creation workflows, and advanced analytics for creators tracking performance. Authentication uses a single YOUTUBE_API_KEY obtained free from the Google Cloud Console by enabling the YouTube Data API v3 — read-heavy operations fit comfortably inside the daily quota. Install globally with npm as zubeid-youtube-mcp-server, run it directly with npx (no install required), or add it through Smithery for one-click Claude Desktop setup; a Docker image is also provided for HTTP transport. The YouTube MCP Server is ideal for content research, competitive analysis, transcript-based summarization, and automated creator workflows — Claude can, for example, find the top videos on a topic, fetch their transcripts, and synthesize a briefing in a single pass.

The MCP server is free and open-source. YouTube Data API: Free quota (10,000 units/day). Additional quota available through Google Cloud billing.

Marcel Marais's Spotify MCP Server is a lightweight TypeScript bridge between AI assistants and the Spotify Web API, letting Claude control playback and search a listener's library through natural language. It exposes tools for searching tracks/albums/artists/playlists, controlling playback (play, pause, skip, queue management), reading and modifying the current queue, and browsing a user's playlists and saved library. Authentication uses standard Spotify OAuth (client ID/secret from the Spotify Developer Dashboard) with a one-time login flow to obtain a refresh token, after which the server runs locally via the MCP stdio transport. Typical use: ask Claude to "queue up some upbeat workout music" or "what's currently playing," and it calls the Spotify API directly rather than requiring the user to switch to the Spotify app.

The MCP server is free and open-source. Spotify Web API: Free to use with rate limits. Spotify Premium not required for API access.

Exposes Cloudinary's media upload, transformation, AI analysis, management, optimization and delivery.

The MCP server is free and open-source. Cloudinary: Free tier (25 credits/mo). Plus: $89/mo. Advanced: $224/mo. Enterprise: Custom.

The official ElevenLabs MCP server (elevenlabs/elevenlabs-mcp) connects AI assistants like Claude Desktop, Cursor, Windsurf, and OpenAI Agents directly to ElevenLabs' text-to-speech and audio-processing APIs. Once installed, an AI client can generate natural-sounding speech from text in dozens of voices and languages, clone a voice from a short audio sample, design and save new synthetic voices to a personal voice library, transcribe spoken audio with automatic speaker diarization, isolate vocals from background noise, and compose layered soundscapes (e.g. "a thunderstorm in a dense jungle with animals reacting") from a text prompt. It also exposes ElevenLabs' Conversational AI agent-creation tools, so a client can spin up a voice agent with a defined persona and have it answer questions in character. Install via PyPI/uv with `uvx elevenlabs-mcp` and an `ELEVENLABS_API_KEY` from the ElevenLabs dashboard — the free tier includes 10k credits/month, enough for testing. Optional environment variables (`ELEVENLABS_MCP_BASE_PATH`, `ELEVENLABS_MCP_OUTPUT_MODE`) control whether generated audio is saved to disk, returned as base64-encoded MCP resources for containerized/serverless environments, or both, and `ELEVENLABS_API_RESIDENCY` supports enterprise data-residency requirements. With 1,450+ GitHub stars, it is the most widely adopted way to give an AI coding assistant real audio-generation capabilities without hand-rolling API calls.

The MCP server is free and open-source. ElevenLabs: Free tier (10K characters/mo). Starter: $5/mo. Creator: $22/mo. Pro: $99/mo. Scale: $330/mo.

MiniMax MCP is MiniMax's official, first-party Model Context Protocol server for text-to-image generation, alongside video and audio generation — the highest-starred general-purpose image-generation MCP server on GitHub (1,500+ stars, MIT licensed, actively maintained), a strong signal for the broad "AI image generation MCP" search intent this page targets versus single-model options like Replicate Flux or Stability AI covered in their own dedicated entries elsewhere in this directory. The `text_to_image` tool generates images directly from a prompt; companion tools cover `generate_video` (with the MiniMax-Hailuo-02 model, configurable 6s/10s duration and 768P/1080P resolution), `music_generation` (prompt+lyrics to a full music track via the music-1.5 model), `text_to_audio` plus `voice_clone` and `voice_design` for custom TTS voices, and `query_video_generation` for polling async video jobs. Install via `uvx minimax-mcp -y` (Python/uv-based) with a `MINIMAX_API_KEY` from the MiniMax platform — note the API key and `MINIMAX_API_HOST` must match your account region (Global: api.minimax.io, Mainland China: api.minimaxi.com) or requests fail with an invalid-key error. Supports both stdio (local) and SSE (local or cloud-deployed) transport, with a `MINIMAX_API_RESOURCE_MODE` env var controlling whether generated assets are returned as a URL or downloaded to a local output path. A companion `MiniMax-MCP-JS` package offers an official JavaScript implementation for non-Python environments. Works with Claude Desktop, Cursor, Windsurf, and OpenAI Agents SDK clients — usage incurs MiniMax API costs per generation.

Free and open-source MCP server. Image generation costs depend on the underlying model/API used.

Stability AI has not published a first-party MCP server, but alesurli/mcp-stability-ai is an actively maintained community implementation (npm package `mcp-stability-ai`, MIT licensed, CI-tested) that wires Stability's v2beta image API into Claude Desktop for fully conversational generation and editing — no manual file-path juggling required. On the generation side it exposes three model tiers as separate tools: `generate_image_sd3` (Stable Diffusion 3.5, best overall quality with negative-prompt support, roughly $0.035–$0.065/image), `generate_image_core` (fast generation with built-in style presets, ~$0.03/image), and `generate_image_ultra` (highest photorealistic quality, ~$0.08/image). Editing tools cover the workflows a product or marketing team actually needs: `remove_background` for transparent-PNG cutouts, `replace_background` which swaps and relights a background for product-shot work, `inpaint` for prompt-driven masked-region edits, `search_and_replace` and `search_and_recolor` for maskless object swaps and recoloring by natural-language description, and `outpaint` to extend a canvas in any direction. The author built it specifically as a maintained Stability.ai bridge for people who want the API-based service inside a Claude conversation rather than running a local GPU stack like ComfyUI or Automatic1111 — it is explicitly positioned as a complement to, not a replacement for, those local-first tools. Requires a `STABILITY_API_KEY` from the Stability AI platform; install with `npx -y mcp-stability-ai` and add the key as an environment variable in the Claude Desktop config.

The MCP server is free and open-source. Stability AI: Free tier with limited credits. Creator: $9.99/mo. Enterprise: Custom. Open-source models available for self-hosting.

Descript is a popular video and audio editing platform built around transcript-driven editing (delete a word in the text, it cuts the clip), AI overdub voice cloning, screen recording, and Studio Sound noise removal. As of this writing, Descript has not published an official MCP server, and no community project has produced one with meaningful adoption either — repeated GitHub searches across multiple review cycles turn up only forked demo repos and unrelated tools with a description that happens to mention "descript," none exceeding a handful of stars. If you need to script Descript-style transcript/video workflows from an AI agent today, the closest MCP-native options are general-purpose media servers already listed in this directory (search "video" or "audio" categories) combined with Descript's own REST API and Zapier integrations, which are not MCP but can be wrapped in a custom server. This entry is kept as a placeholder so the term stays discoverable; it will be updated the moment Descript or a credible community project ships a real MCP server — check back or watch the Descript developer docs and GitHub for updates.

The MCP server is free and open-source. Descript: Free tier (1 hr transcription). Hobbyist: $8/mo. Creator: $24/mo. Business: $33/mo. Enterprise: Custom.

Connect to the Cartesia voice platform to perform text-to-speech, voice cloning.

The MCP server is free and open-source. Cartesia: Free tier with limited usage. Paid plans for production voice AI. See official pricing.