LivePair AI MCP server

• Registry namecom.livepairai/livepair-hubverified in the MCP registry

The registry name sits under livepairai.com. The registry only lets a publisher use that namespace after proving control of the domain through DNS or HTTP.

• Stateanswerschecked 2026-10-24
• Tools14
• Server calls itselfprivate-media-generation
• Server version0.1.0
• Protocol version2025-06-18

On 2026-10-24 the server answered initialize and tools/list without a sign-in. First answer in 411 ms.

• Its tools do every use case we checked: generate images from text prompts; edit images by describing the change; animate still images into 5-second clips.
• Checked on 3 of the 7 days it takes to judge reliability.

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 scoreafter a weeka score needs 7 daily checks: 3 so far
• What an agent can do with it3 of 3 use cases
• Answeredmeasuring3 of the 7 daily checks it takes to print a share
• Median first answer1655 ms
• Space in an agent's context≈ 2,750 tokensthe definitions of all its tools (14), which an agent carries on every turn
• Tool definitionsA · 98 of 100
• Typed results0 of 14 toolsdeclared outputSchema: results come typed, read once

• Parameters without a description: in 2 of 14

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 (30%), doing the product's job (25%), definitions (20%), context (10%) and use (15%). 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 →

• search_prompts

  Keyword search over the community prompt library — tested AI image and video prompts with the results they produced. Use for style/subject/model lookups. For trending or most-used prompts call trending_prompts instead. Returns prompt…

• get_prompt

  Fetch one community prompt card by id — the verbatim prompt, model it ran on, the result media, like/view counts, and a studio link that preloads it.

• trending_prompts

  Use when the user asks for trending, most-used, most popular, or top prompts — do NOT keyword-search for these. Returns community prompt cards ranked by the paid generations they actually drove.

• enhance_prompt

  Rewrite a rough prompt idea into the structured form our image models follow best (subject, composition, style, negatives). Use before generate_image — better input, better output.

• generate_image

  Render or transform an image or video with a catalog model (t2i, i2i, t2v, i2v, tool — tools like upscale/remove-background take image with no prompt; face-swap takes image + image2; motion models take image + video) — including the…

• chat_text

  OpenAI-compatible chat completions — frontier and open-weight models (list under textModels in GET /v1/agent/models). PAID. If this MCP request carries your API key (x-api-key / Bearer lp_…) the completion executes right here and returns…

• get_job

  Check a running job returned by generate_image — free. Returns {status:'done',url} | running | failed.

• get_balance

  Prepaid credit balance and recent ledger for the API key on this MCP request — needs an lp_ key (x-api-key / Bearer).

• quote_price

  Exact USDC price for a model+settings combo before paying — images are flat per call, video is per-second × duration at the resolution tier. The x402 endpoint always re-quotes from the body, so this is the same number it would charge.

• search_references

  Semantic search over your media-reference library AND shared curated moodboards — describe the look you want ('warm golden diner', 'neon night street') and get candidate images/clips with preview urls to show the user. Pass 'pack' to…

• list_reference_packs

  Curated moodboards usable as generation references — each pack is a cohesive look (lighting/grade/mood: golden-hour, neon-night, noir-bw…). Read-shared for everyone; pick one for the user's intent, search inside it via…

• recommend_model

  Decide which model fits a need — returns the modelId to use with generate_image. Cheapest, fastest, or highest quality; for images, video, or utility tools (upscale, background removal); with or without a source image. Pass private:true…

• get_pack

  A themed bundle of curated prompt picks (themes: anime, portrait, landscape, product, character, sci-fi, fantasy, abstract, food, architecture). Curated packs are rebuilt daily and carry real paid-run counts — prompts that already…

• list_models

  List the public image and video generation catalog — id, label, mode (text-to-image, image-to-video, etc), rough generation time, and private flag (private AI models — i2i/i2v source images must be AI-generated or owned, no real-person…