# Spicy MCP MCP Server > **Spicy MCP MCP Server** is a hosted, multitenant Model Context Protocol (MCP) server run by **MewCP** (https://mewcp.com), giving AI agents managed access to Spicy MCP. > > MewCP takes care of all MCP infrastructure for you — credential storage, OAuth flows, > token refresh, and production-grade auto-scaling — so your AI agents can connect to > third-party services and run freely without you managing any MCP server yourself. > > Server page: https://mewcp.com/mcp/spicyapi-mcp > MewCP docs: https://docs.mewcp.com > Full catalog: https://mewcp.com/llms.txt --- ## About Spicy API enables AI agents to generate and customize AI-powered adult-oriented imagery using text prompts and image-based inputs, with options for controlling visual styles and creative outputs. --- ## Details - Server ID: `spicyapi-mcp` - Version: 1.0.0 - Tools: 32 - Authentication: OAuth, managed by MewCP - Transport: http --- ## Access The gateway URL below serves your **entire MewCP toolset**, not this server on its own. Pasting a config snippet is not enough — Spicy MCP has to be in the toolset first. In order: 1. Add Spicy MCP to your toolset at https://mewcp.com/mcp/spicyapi-mcp 2. Connect your Spicy MCP account (OAuth); MewCP stores the credential and attaches it to each call 3. Copy your MewCP API key from the dashboard (Developer) 4. Configure your client with the snippet for it below Once connected, an agent does **not** see this server's tools as top-level tools. It sees four meta-tools and reaches everything through them: - `search(query)` — find tools by keyword across the toolset - `get_schema(tools)` — full description and arguments for the tools you picked - `list_accounts(provider)` — only when one app has several connected accounts - `call_tool(server_maskedId, tool_name, args)` — execute So the list below is what `search` can return for this server, not a set of callable tool names on their own. --- ## Tools (32) Descriptions are truncated to 160 characters; call `get_schema` for the full text and the argument schema. Where a tool is annotated, its type is shown — treat `destructive` as irreversible. - `list_models` _(read)_ — Every model with its kind (image, image-edit, video, video-edit, chat, speech, realtime, transcription, embedding), USD price (per image, per second by… - `estimate_cost` _(read)_ — USD cost of a request before making it, from the same price table the gateway bills: images by count, video by seconds and resolution (plus the input clip or… - `get_account` _(read)_ — Balance in USD, spend this calendar month, the monthly spend limit if set, whether approvals are skipped for agents, whether the account has ever topped up,… - `list_images` _(read)_ — The account's generated images, newest first. These are the only URLs accepted as image inputs by edit_image, generate_video, edit_video and create_embeddings… - `list_characters` _(read)_ — The account's saved characters: reusable identities built from its own generated images. Pass a character id as `character` to generate_image, edit_image or… - `create_character` _(destructive)_ — Save a reusable identity from 1 to 3 of the account's own generated images of the same person (list_images or a generate_image result). Renders one neutral… - `delete_character` _(destructive)_ — Remove a saved character. Its reference sheet stays in the image library. Guarded: without approval_token it returns {error: "approval_required", summary,… - `generate_image` _(destructive)_ — Text to image, synchronous (10 to 30 seconds), returns durable CDN URLs reusable as image_url for edits and video. Or an image action: model… - `edit_image` _(destructive)_ — Prompt-driven edit of one to three images the account generated (list_images), for outfit, pose and scene changes. Synchronous; returns one to six durable CDN… - `generate_video` _(destructive)_ — Image to video, text to video or references to video. Asynchronous: returns a task id at once with the price already debited; poll get_job every 10 to 15… - `edit_video` _(destructive)_ — Change a finished clip, or make a person perform a motion. Asynchronous like generate_video: returns a task with the price debited; poll get_job every 10 to 15… - `list_motions` _(read)_ — The motion library for motion transfer on edit_video (spicy-animate-1): id, label, description, preview url, duration_s and aspect_ratio of each clip. Every… - `list_actions` _(read)_ — The action library for generate_video with action (spicy-motion-3 and spicy-motion-3-fast): id, label, category (sex, anal, oral, handjob, cumshot, solo,… - `list_image_actions` _(read)_ — The image action library for generate_image on spicy-image-action-1: id, label, category (sex, anal, oral, handjob, cumshot, solo, trans), image_url (the… - `list_styles` _(read)_ — The art styles for `style` on generate_image and generate_video: id, label, description and preview_url (a sample image). photorealistic, studio (glossy… - `upload_audio` _(destructive)_ — Bring in a WAV or MP3 (2 to 30 seconds, 15 MB max) from a public https URL for lip-sync and audio-driven video. The clip is transcribed and the transcript… - `list_audio` _(read)_ — The account's audio clips, newest first: uploads and generated speech (source upload or speech), with id, url, duration_s, mime and transcript. These urls are… - `delete_audio` _(destructive)_ — Forget an uploaded clip so it can no longer be used as a video input. Videos already made with it are unaffected. Guarded: without approval_token it returns… - `transcribe_audio` _(destructive)_ — Speech to text from a public https URL of an audio file (wav, mp3, m4a/mp4, ogg/opus, flac, webm and more; up to 10 MB and 5 minutes). Synchronous; returns… - `generate_speech` _(destructive)_ — Text to speech, synchronous. Returns {id, url, duration_s, voice, format, cost_usd}: a durable clip (WAV 24 kHz mono, or MP3 on the spicy-voice-2 family) that… - `list_voices` _(read)_ — Voices for generate_speech: every preset voice with the models that speak it (spicy-voice-1 has them all, spicy-voice-1-expressive a subset), then the… - `create_voice` _(destructive)_ — Create a custom voice for spicy-voice-1-custom, returned as a vc_... id. Design: name plus a description of vocal qualities (gender, age range, pitch, pace,… - `delete_voice` _(destructive)_ — Delete a designed or cloned voice (vc_...) so it can no longer be spoken. Clips already generated with it are unaffected. Guarded: without approval_token it… - `create_embeddings` _(destructive)_ — Embedding vectors for search, memory and recommendations, OpenAI-compatible. spicy-embed-1: text, input a string or up to 10 strings (8,192 tokens each),… - `get_job` _(read)_ — Status of a video task from generate_video or edit_video (queued, processing, finalizing, succeeded with output.video_url and usage, or failed and refunded) or… - `list_jobs` _(read)_ — Recent requests on the account (images, edits, video tasks including edits and motion transfer, chat, speech, voice creation, transcription, embeddings, live… - `get_usage` _(read)_ — Spend and request counts over the last N days, totalled and broken down by model, type and source (playground, api, agent), with the error count. Reads the… - `create_api_key` _(write)_ — Mint a new key for this account (plaintext returned once, stored hashed; at most 500 active keys). sandbox: true makes a key that answers everything from… - `revoke_api_key` _(destructive)_ — Permanently revoke a key by id (the id is returned by create_api_key and shown on the API keys page). Applications using it stop working at once. Guarded:… - `get_topup_link` _(read)_ — Checkout URL to add funds by card (hosted checkout) or crypto for a preset amount ($50, $100, $250, $500, $1000; minimum $50). The USER opens it and pays in… - `set_spend_limit` _(write)_ — Cap what this account can spend per calendar month (UTC), enforced at debit time on every surface: requests past the cap return 402 without charging. Lowering… - `read_acceptable_use` _(read)_ — The acceptable use policy as markdown: prohibited content (minors in any form, images or video of real people with or without consent, non-consensual scenarios… --- ## Connect Gateway URL: https://gateway.mewcp.com/personal/mcp Every request carries one header: Authorization: Bearer Replace `API_KEY` with your own key from the dashboard (Developer). ## Apps ### Claude Desktop Mac & Windows app - macOS: `~/Library/Application Support/Claude/claude_desktop_config.json` - Windows: `%APPDATA%\Claude\claude_desktop_config.json` ```json { "mcpServers": { "mewcp": { "command": "npx", "args": [ "-y", "mcp-remote@latest", "https://gateway.mewcp.com/personal/mcp", "--header", "Authorization: Bearer API_KEY" ] } } } ``` Already have an "mcpServers" section in your config? Just add the server entry inside it. 1. Open Claude Desktop → Settings → Developer → "Edit Config" 2. Paste the snippet inside the outer { } of the config file (merge with your existing "mcpServers" section if you have one) 3. Save the file and restart Claude Desktop 4. Start a new conversation — your tool will be available ### VS Code Copilot / Cline - Command Palette → "MCP: Open User Configuration" (opens mcp.json). For one project only, use .vscode/mcp.json instead. ```json { "mcp.servers": { "mewcp": { "type": "http", "url": "https://gateway.mewcp.com/personal/mcp", "headers": { "Authorization": "Bearer API_KEY" } } } } ``` Already have a "servers" section in your mcp.json? Just add the server entry inside it. 1. Open VS Code → Command Palette (Cmd+Shift+P / Ctrl+Shift+P) 2. Run "MCP: Open User Configuration" to open your mcp.json 3. Paste the snippet and save 4. Start the server when prompted (or from the MCP servers view) and use it in Copilot Chat ### Cursor AI-first editor - macOS: `~/.cursor/mcp.json` - Windows: `%USERPROFILE%\.cursor\mcp.json` ```json { "mcpServers": { "mewcp": { "url": "https://gateway.mewcp.com/personal/mcp", "headers": { "Authorization": "Bearer API_KEY" } } } } ``` Already have an "mcpServers" section in your mcp.json? Just add the server entry inside it. 1. Open Cursor → Settings → Cursor Settings → MCP 2. Click "Add new global MCP server" 3. Paste the snippet and save 4. Restart Cursor ### Codex OpenAI's CLI agent - Add the snippet to your Codex MCP config or your standard MCP config file for the CLI tool you use. ```json { "mcpServers": { "mewcp": { "type": "http", "url": "https://gateway.mewcp.com/personal/mcp", "headers": { "Authorization": "Bearer API_KEY" } } } } ``` Codex generally reads a standard MCP server block, so you can add this alongside your other configured servers. 1. Open your Codex MCP config or project-level config file 2. Paste the MewCP server block inside the config JSON/TOML structure your tool expects 3. Save the file and restart Codex 4. Verify the tool is available inside a fresh session ### Claude Code Anthropic's CLI agent - ~/.claude.json (user scope) or .mcp.json in your project root — create it if it doesn't exist. Or skip the file and use the CLI command below. ```json { "mcpServers": { "mewcp": { "type": "http", "url": "https://gateway.mewcp.com/personal/mcp", "headers": { "Authorization": "Bearer API_KEY" } } } } ``` Already have an "mcpServers" section in your config? Just add the server entry inside it. 1. Open ~/.claude.json (or .mcp.json in your project root) in a text editor 2. Paste the snippet inside the outer { } (merge with your existing "mcpServers" section if you have one) 3. Save the file and start (or restart) Claude Code 4. Or skip the file entirely and run the CLI command below instead ### OpenCode Open-source terminal agent - ~/.config/opencode/opencode.json (global) or opencode.json in your project root — create it if it doesn't exist. ```json { "$schema": "https://opencode.ai/config.json", "mcp": { "mewcp": { "type": "remote", "url": "https://gateway.mewcp.com/personal/mcp", "enabled": true, "headers": { "Authorization": "Bearer API_KEY" } } } } ``` Already have an "mcp" section in your opencode.json? Just add the server entry inside it. 1. Open ~/.config/opencode/opencode.json (or opencode.json in your project root) in a text editor 2. Paste the snippet inside the outer { } (merge with your existing "mcp" section if you have one) 3. Save the file and start (or restart) OpenCode ### OpenClaw Self-hosted agent gateway - ~/.openclaw/openclaw.json — create it if it doesn't exist. ```json { "mcp": { "servers": { "mewcp": { "transport": "streamable-http", "url": "https://gateway.mewcp.com/personal/mcp", "enabled": true, "headers": { "Authorization": "Bearer API_KEY" } } } } } ``` Already have an "mcp" section in your openclaw.json? Just add the server entry inside "servers". 1. Open ~/.openclaw/openclaw.json in a text editor 2. Paste the snippet inside the outer { } (merge with your existing "mcp" section if you have one) 3. Save the file and restart OpenClaw ### Antigravity Google's agentic IDE - ~/.gemini/config/mcp_config.json (global) or .agents/mcp_config.json (workspace-local) — create it if it doesn't exist. ```json { "mcpServers": { "mewcp": { "serverUrl": "https://gateway.mewcp.com/personal/mcp", "headers": { "Authorization": "Bearer API_KEY" } } } } ``` Already have an "mcpServers" section in your config? Just add the server entry inside it. Remote servers must use the "serverUrl" field — the legacy "url"/"httpUrl" fields aren't supported. 1. In the editor's agent side panel, click "…" → "MCP Servers" → "Manage MCP Servers" → "View raw config" (Antigravity CLI: type /mcp instead to open the Interactive MCP Manager) 2. Paste the snippet inside the outer { } (merge with your existing "mcpServers" section if you have one) 3. Save the file — the server connects automatically ### Hermes Nous Research's CLI agent - config.yaml in your Hermes config directory (~/.hermes) — add this under a top-level "mcp_servers:" key. ```yaml mcp_servers: mewcp: url: "https://gateway.mewcp.com/personal/mcp" headers: Authorization: "Bearer API_KEY" ``` Already have an "mcp_servers" section in your config.yaml? Just add the server entry inside it. 1. Open config.yaml in your Hermes config directory 2. Paste the snippet under the top-level "mcp_servers:" key (merge with existing entries if you have any) 3. Save the file, then run /reload-mcp in Hermes (or start a fresh session) 4. Ask Hermes "Tell me which MCP-backed tools are available right now" to confirm it connected ### DeepSeek Harness DeepSeek's agent harness - cordis.yml in your DSH project — or the patch file you mount plugins from. ```yaml - id: mcp-mewcp name: '@deepseek-ai/dsh-mcp-client' config: serverName: mewcp transport: streamable-http url: https://gateway.mewcp.com/personal/mcp headers: Authorization: "Bearer API_KEY" ``` One plugin instance = one MCP server. Add this entry to your plugin list; don't nest it inside another entry. 1. Open cordis.yml (or your patch file) in your DSH project 2. Paste the entry into your plugin list, keeping the leading dash and indentation 3. Restart DSH (or let HMR reload) — tools register as mcp__mewcp__ 4. Verify with: dsh web --dump-config | grep -A3 mcp ## SDKs ### Python fastmcp client ```python import asyncio from fastmcp import Client from fastmcp.client.transports import StreamableHttpTransport SERVER_URL = "https://gateway.mewcp.com/personal/mcp" API_KEY = "API_KEY" transport = StreamableHttpTransport( url=SERVER_URL, headers={ "Authorization": f"Bearer {API_KEY}", } ) async def main(): client = Client(transport) async with client: tools = await client.list_tools() print(tools) asyncio.run(main()) ``` 1. Install fastmcp: pip install fastmcp 2. Copy the snippet into your project 3. Replace API_KEY with your key from the dashboard 4. Run your script ### TypeScript MCP SDK ```typescript import { Client } from "@modelcontextprotocol/sdk/client/index.js"; import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp.js"; const SERVER_URL = "https://gateway.mewcp.com/personal/mcp"; const API_KEY = "API_KEY"; const transport = new StreamableHTTPClientTransport(new URL(SERVER_URL), { requestInit: { headers: { Authorization: `Bearer ${API_KEY}`, }, }, }); const client = new Client({ name: "mewcp-client", version: "1.0.0" }); await client.connect(transport); const tools = await client.listTools(); console.log(tools.tools.map((t) => t.name)); ``` 1. Install: npm install @modelcontextprotocol/sdk 2. Copy the snippet into your project 3. Replace API_KEY with your key from the dashboard 4. Run with Node 18+ as an ES module (e.g. npx tsx script.ts)