
All-In-One AI Platform MCP server
Which MCP servers are All-In-One AI Platform's own, from the official registry and from asking its own domain, whether they answer, and what they offer. A program checked each of these, nobody copied them from a product page.
read 2026-10-29
- Registry nameai.easy-peasy/mcpverified in the MCP registry
The registry name sits under easy-peasy.ai. The registry only lets a publisher use that namespace after proving control of the domain through DNS or HTTP.
- Stateanswerschecked 2026-10-29
- Tools13
- Server calls itselfeasy-peasy-ai
- Server version1.3.2
- Protocol version2025-06-18
On 2026-10-29 the server answered initialize and tools/list without a sign-in. First answer in 116 ms.
- Its tools do every use case we checked: generate images from text prompts; convert written text into speech in many languages.
Once connected
- For "generate images from text prompts", the likely first call is generate_image.
Said by rules from the measurements above. The likely first call is a model's pick from the tool list; read its description before relying on it.
- INITE MCP score90 of 100answers 100 · does the job 100 · definitions 99 · context 100 · use 0 · connects 100
- What an agent can do with it2 of 2 use cases
- Answered100% of days7 of 7 daily checks
- Median first answer108 ms
- Space in an agent's context≈ 2,866 tokensthe definitions of all its tools (13), which an agent carries on every turn
- Tool definitionsA · 99 of 100
- Typed results5 of 13 toolsdeclared outputSchema: results come typed, read once
- Parameters without a description: in 1 of 13
What an agent can do with it
- can do · generate images from text prompts
- not sure · turn a photo into a talking presenter video
- can do · convert written text into speech in many languages
Each of the product's use cases, put to Jev against this server's tool list: can an agent do it with these tools?
Worth a look
None of the five warning signs in these definitions.
A program checks the server once a day: initialize and tools/list, no model. Tokens are the definitions' length at about four characters a token. The grade averages six checks of every tool's name, description, schema and annotations; it says how well the tools are described, not whether they work. The score weighs what was measured and nothing else: answering (25%), doing the product's job (25%), definitions (20%), context (10%), use (10%) and how readily a client connects (10%). A part that was not measured is left out, and a hidden instruction caps the score at 40. The state of vendors' MCP servers: method and numbers →
get_accountCheck connection status only when the user explicitly asks whether Easy-Peasy.AI is connected. Returns only a boolean. Do not call for general knowledge, account deletion, or requests for credentials or personal details; those requests…
list_templatesList a page of Easy-Peasy.AI writing templates (presets), optionally filtered by category. Returns slug, title, description, and category, plus total, categories, and next_offset (null on the last page). Use get_template to inspect a…
get_templateGet one text generation template by slug, including its input fields (name, label, type, options). Field names like "keywords" and "extra1".."extra14" map directly onto generate_text parameters.
generate_textGenerate text with an Easy-Peasy.AI template (preset). Synchronous — returns the generated text. Uses the account word quota and requires available API token allowance. Call get_template first to learn which fields a template accepts…
generate_imageGenerate or edit an image with Easy-Peasy.AI. Synchronous — returns image URL(s) when generation finishes (can take up to a few minutes). Uses image credits and requires a paid plan for API access. To edit existing images, pass their URLs…
get_imageGet a previously generated image by its numeric id (returned by generate_image).
generate_videoStart an AI video generation. Defaults to MiniMax H3 Max: 5 seconds, 768p, native audio, 4 credits per second at 768p. With an image and no model, uses MiniMax H3 Max Image. ASYNC — returns a video id. display_media shows the video and…
get_videoCheck a video generation started with generate_video. Returns { video: { id, url, status } } — status is "processing" until the video is ready, then "completed" with the download url.
display_mediaShow Easy-Peasy.AI images in an embedded gallery or videos in an embedded player. Use IDs returned by generate_image, get_image, generate_video, or get_video. Can display a processing video and check its progress. Reads existing results…
list_voicesList a page of text-to-speech voices (id, name, language, accent), including the account’s custom/cloned voices. Filter by language and optionally accent. Returns total and next_offset (null on the last page). Choose a suitable returned…
generate_speechConvert text to speech (ElevenLabs-powered). Synchronous — returns the audio file URL. Billed against the account’s monthly text-to-speech character quota.
transcribe_audioTranscribe audio or video from a public link: a media file, or a page with a video or audio in it — YouTube, X (Twitter) posts and broadcasts, Instagram, TikTok, Google Drive, SoundCloud, Loom and most other video sites (up to 6 hours)…
get_transcriptionGet a transcription started with transcribe_audio using its exact returned uuid and the same connected account. The content field is empty until transcription finishes. If the job is not found or fails, report the error; do not start a…
How to connect
Add the server to your MCP client config. Claude Desktop, Cursor and most other clients read this shape:
{
"mcpServers": {
"easy-peasy": {
"type": "http",
"url": "https://easy-peasy.ai/mcp"
}
}
}Add it
Claude Code, in a terminal
claude mcp add --transport http easy-peasy https://easy-peasy.ai/mcpclaude.ai, ChatGPT and other clients: add https://easy-peasy.ai/mcp as a custom connector in the settings.
Each line is something a program found when it went looking: the registry entry, the server's own answer, a spec that parses. A missing line means we did not find it, not that it does not exist.
Before we count this visit
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