# MemeStack (remote · mcp.memestack.ai)

Search and browse a curated gallery of memes, infographics, and visual content.

- Trust score: 75/100 (medium)
- Change this week: +4
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-08-03

## Components

- remote · `mcp.memestack.ai`: 75/100 (this document), [markdown](https://verifymcp.io/servers/ai-memestack-mcp/mcp.md), [page](https://verifymcp.io/servers/ai-memestack-mcp/mcp)

## Channel facts

- Endpoint: `https://mcp.memestack.ai/mcp`
- Transports: `streamable-http`
- Auth: `none`
- Version: `1.0.0`

## Trust breakdown

How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. Scores are 0–100 per category. Scoring method: https://verifymcp.io/docs/scoring (what has changed: https://verifymcp.io/docs/scoring/changelog)

Scored 2026-08-03.

- **Endpoint Security**: 77/100
  - The endpoint's TLS certificate is valid, in date, and uses a strong key.
  - No authorisation is required to call this server. Every tool declares its destructiveHint and none is destructive, so open access doesn't expose one.
  - HTTPS is enforced; there's no plaintext access path.
  - HSTS check failed: the Strict-Transport-Security header is absent.
  - DNSSEC is configured correctly; the domain's records validate against the full chain to the root.
- **Transport & Reachability**: 100/100
  - Verified streamable-http transport via a live MCP handshake.
- **Schema Quality & AI Usability**: 88/100
  - 100% of prompts and resources have a non-trivial description (not blank, and not just the item's name).
  - AI-judged instruction clarity (excellent).
  - Tool/resource definitions use about 2170 tokens (~94/item across 23 items; 20 tools + 3 resources), lean.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 27/100
  - Stability observed for 8 of 30 days with no destabilising changes; credit accrues until the full window elapses.
- **Tool Coverage**: 100/100
  - 100% of tools have a non-trivial description (not blank, and not just the tool's name).
  - 100% of tool parameters carry a description.
  - Structured output schemas are declared (100% of tools); any adoption earns full credit.
- **Capabilities**: 60/100
  - Spec-recency check failed: implements MCP spec 2025-06-18; the latest is 2026-07-28.

## Install

### Claude

```bash
claude mcp add --transport http ai-memestack-mcp https://mcp.memestack.ai/mcp
```

### Codex

```toml
[mcp_servers.ai-memestack-mcp]
url = "https://mcp.memestack.ai/mcp"
```

### opencode

```json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "ai-memestack-mcp": {
      "type": "remote",
      "url": "https://mcp.memestack.ai/mcp",
      "enabled": true
    }
  }
}
```

### OpenClaw

```bash
openclaw mcp add ai-memestack-mcp --url https://mcp.memestack.ai/mcp --transport streamable-http
```

### Hermes

```yaml
mcp_servers:
  ai-memestack-mcp:
    url: "https://mcp.memestack.ai/mcp"
```

### Other

```json
{
  "mcpServers": {
    "ai-memestack-mcp": {
      "type": "http",
      "url": "https://mcp.memestack.ai/mcp"
    }
  }
}
```

The mcpServers block is a cross-client convention. Remote transports vary, so check your client's docs.

## Changelog

Every change recorded for this component, newest first. Days that predate change tracking, or that we cannot explain, say so: "we were watching and nothing happened" and "we were not watching" are different claims.

### 2026-08-02 (score 75, +1)

No change was recorded against any check on this day. Stability & Change Management went from 20 to 23. That category is still filling its 30-day observation window: 6 days of observed history at the previous scan, 7 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-07-31 (score 74, +2)

- [functional] We updated how we score, so this day's move reflects our rubric, not a change to the server

### 2026-07-30 (score 72, −1)

- [functional] We updated how we score, so this day's move reflects our rubric, not a change to the server

### 2026-07-29 (score 73, +1)

- [security] The server rewrote its instructions, which are the text every model session reads
- [functional] Schema quality: good → excellent
- [functional] Server version: 1.0.0 → 1.3.0

### 2026-07-28 (score 72, +1)

No change was recorded against any check on this day. Stability & Change Management went from 3 to 7. That category is still filling its 30-day observation window: 1 days of observed history at the previous scan, 2 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-07-27 (score 71, +1)

- [functional] We updated how we score, so this day's move reflects our rubric, not a change to the server

### 2026-07-26 (score 70)

First indexed and scored.

## MCP tools (20)

### `search_images` (~199 tokens)

Search the MemeStack image gallery. Runs semantic AI and keyword matching in parallel and merges results. Returns images with captions, tags, zap stats, and URLs.

Input parameters:

- `limit` (number): Results per page (1-50, default 10)
- `offset` (number): Pagination offset (default 0)
- `q` (string): Alias for `query`. Provided so REST-API muscle memory (?q=...) works on the MCP tool too. If both are set, `query` wins.
- `query` (string, required): Search query — combines semantic AI and keyword matching automatically. Alias: `q` (matches the REST API param name).
- `sort` (string): Sort order (default: relevance)
- `tag` (string): Filter results by a single tag slug (backward compat)
- `tags` (string): Filter results by multiple tag slugs (comma-separated, AND logic — e.g. "bitcoin,meme")

Output parameters:

- `citations_combined` (object): Combined attribution for all images in this response, in three formats.
- `images` (array): Matching images, best-first.
- `total` (number): Total number of matching images.

### `get_image` (~44 tokens)

Get full metadata for a specific image by ID, including caption, alt text, tags, OCR text, zap stats, and URLs.

Input parameters:

- `id` (string, required): Image UUID

Output parameters:

- `alt_text` (string): Accessible alt text.
- `canonical_url` (string): Full-resolution image URL.
- `caption` (string): AI-generated caption.
- `citation` (object): Ready-to-paste attribution for this image in three formats, plus source metadata.
- `created_at` (string): ISO 8601 creation timestamp.
- `free_tags` (array): Free-form tag slugs.
- `height` (number): Original height in pixels.
- `id` (string): Image UUID.
- `like_count` (number): Number of likes.
- `meme_template_name` (string|null): Recognised meme template, if any.
- `mime_type` (string): Image MIME type.
- `page_url` (string): MemeStack gallery page URL.
- `quality_score` (number): AI quality score (1-10).
- `save_count` (number): Number of saves.
- `size` (number): File size in bytes.
- `tags` (array): Topic tag slugs.
- `text_in_image` (string|null): OCR transcription of any text in the image.
- `thumb_height` (number): Thumbnail height in pixels.
- `thumb_width` (number): Thumbnail width in pixels.
- `thumbnail_url` (string): Thumbnail image URL.
- `updated_at` (string): ISO 8601 last-updated timestamp.
- `uploader_display_name` (string|null): Uploader name, or null.
- `width` (number): Original width in pixels.
- `zap_count` (number): Number of Lightning zaps.
- `zap_total_sats` (number): Total sats zapped.

### `find_similar` (~52 tokens)

Find visually similar images using perceptual hash matching. Returns images that look alike.

Input parameters:

- `id` (string, required): Source image UUID
- `limit` (number): Max results (1-20, default 10)

Output parameters:

- `citations_combined` (object): Combined attribution for all images in this response, in three formats.
- `count` (number): Total number of matching images.
- `images` (array): Visually similar images.

### `find_related` (~52 tokens)

Find semantically related images using AI embedding similarity. Returns images with similar meaning/topic.

Input parameters:

- `id` (string, required): Source image UUID
- `limit` (number): Max results (1-20, default 10)

Output parameters:

- `citations_combined` (object): Combined attribution for all images in this response, in three formats.
- `count` (number): Total number of matching images.
- `images` (array): Semantically related images.

### `browse_images` (~97 tokens)

Browse and filter the image gallery without a search query. Useful for discovering content by tag, trending, or recent uploads.

Input parameters:

- `limit` (number): Results per page (1-50, default 10)
- `offset` (number): Pagination offset (default 0)
- `sort` (string): Sort order (default: newest)
- `tag` (string): Filter by tag slug (e.g. "bitcoin", "meme")

Output parameters:

- `citations_combined` (object): Combined attribution for all images in this response, in three formats.
- `images` (array): Images in the requested view.
- `total` (number): Total number of matching images.

### `get_user_profile` (~39 tokens)

Get a user's public profile including display name, stats, and avatar info.

Input parameters:

- `identifier` (string, required): User public key (hex) or UUID

Output parameters:

- `approved_image_count` (number): Number of approved uploads.
- `created_at` (string): ISO 8601 account-creation timestamp.
- `display_name` (string|null): Display name.
- `has_avatar` (boolean): Whether the user has an avatar.
- `id` (string): User UUID.

### `get_leaderboard` (~56 tokens)

Get top-ranked images by zaps received, or top zappers by amount zapped, over a time period.

Input parameters:

- `period` (string): Time period (default: week)
- `type` (string, required): Leaderboard type

Output parameters:

- `citations_combined` (object): Combined attribution for all images in this response, in three formats.
- `images` (array): Top images (images leaderboard).
- `period` (string): The leaderboard period.
- `users` (array): Top zappers (zappers leaderboard).

### `browse_by_tag` (~101 tokens)

Browse images for a specific tag. Returns the tag profile (description, stats) and optionally a paginated list of images tagged with it.

Input parameters:

- `limit` (number): Images per page (1-50, default 10). When provided, images are included in the response.
- `offset` (number): Pagination offset (default 0)
- `tag` (string, required): Tag slug (e.g. "bitcoin", "meme", "lightning")

Output parameters:

- `citations_combined` (object): Combined attribution for all images in this response, in three formats.
- `description` (string|null): Tag description.
- `image_count` (number): Number of images with this tag.
- `images` (array): Images with this tag.
- `name` (string): Tag display name.
- `related_tags` (array): Related tag slugs.
- `slug` (string): Tag slug.
- `total` (number): Total matching images.

### `browse_by_category` (~56 tokens)

Get a category and its featured images. Categories group related tags (e.g. "charts", "memes", "lightning-network").

Input parameters:

- `category` (string, required): Category slug (e.g. "charts", "memes")

Output parameters:

- `citations_combined` (object): Combined attribution for all images in this response, in three formats.
- `description` (string|null): Category description.
- `featured_images` (array): Featured images in the category.
- `name` (string): Category display name.
- `slug` (string): Category slug.

### `list_categories` (~27 tokens)

List all available image categories. Use this to discover what categories exist before calling browse_by_category.

Output parameters:

- `categories` (array): The full category list.

### `get_tag_profile` (~61 tokens)

Get the profile for a tag (description, image count, total zaps, related tags) without fetching any images. Use browse_by_tag to also retrieve images.

Input parameters:

- `tag` (string, required): Tag slug (e.g. "bitcoin", "meme")

Output parameters:

- `description` (string|null): Tag description.
- `image_count` (number): Number of images with this tag.
- `name` (string): Tag display name.
- `related_tags` (array): Related tag slugs.
- `slug` (string): Tag slug.

### `get_mutation_group` (~69 tokens)

Get all variants of a meme template tracked on MemeStack. Returns the dominant image plus every variant in the same mutation group, with citation blocks for each. Use this to research how a meme has evolved or to find variants of a known image.

Input parameters:

- `image_id` (string, required): Image UUID

Output parameters:

- `citations_combined` (object): Combined attribution for all images in this response, in three formats.
- `dominant` (object): A gallery image (full detail) with OCR text, dimensions, and attribution.
- `total_variants` (number): Number of variants.
- `variants` (array): Variant images in the group.

### `search_text_in_image` (~104 tokens)

Search for images by the text written or printed in them (OCR). Different from regular search — only matches the text_in_image field, not captions or tags. Use this to find screenshots of specific quotes, signs, watermarks, or memes with specific embedded text.

Input parameters:

- `limit` (number): Results per page (1-50, default 10)
- `offset` (number): Pagination offset
- `query` (string, required): Text to search for in image OCR

Output parameters:

- `citations_combined` (object): Combined attribution for all images in this response, in three formats.
- `images` (array): Images whose OCR text matched.
- `total` (number): Total number of matching images.

### `find_meme_for_text` (~94 tokens)

Find a meme that captures a vibe, idea, or concept. Returns ready-to-embed images with citation blocks. Use this when writing posts, articles, or social content and you need a meme to illustrate a point.

Input parameters:

- `limit` (number): How many memes to return (1-20, default 5)
- `vibe` (string, required): The vibe, topic, or idea you want a meme for

Output parameters:

- `citations_combined` (object): Combined attribution for all images in this response, in three formats.
- `images` (array): Memes that capture the requested vibe.

### `popular_tags` (~64 tokens)

List the most-used tags on MemeStack by all-time usage count. (Time-period filtering is not yet supported — tag usage is currently counted across the full lifetime of each tag.)

Input parameters:

- `limit` (number): How many tags to return (1-100, default 20)

Output parameters:

- `tags` (array): Tags ordered by usage.

### `tag_autocomplete` (~86 tokens)

Suggest tag slugs matching a prefix. Use this to verify a tag exists before filtering by it, or to discover related tags. Prefix must be ≥ 2 characters.

Input parameters:

- `limit` (number): Max suggestions (1-50, default 10)
- `prefix` (string, required): Tag prefix to autocomplete (≥ 2 characters), e.g. "bit" → "bitcoin".

Output parameters:

- `tags` (array): Suggested tags matching the prefix.

### `cite_image` (~63 tokens)

Generate canonical attribution blocks for one or more MemeStack images. Returns markdown, HTML, and plain-text citation strings ready to paste into your output, plus a combined block for citing multiple images at once.

Input parameters:

- `image_ids` (array, required): Up to 50 image UUIDs

Output parameters:

- `citations` (array): One citation per resolved image ID.
- `combined` (object): Combined attribution for all images in this response, in three formats.
- `missing_ids` (array): Requested IDs that could not be resolved.

### `reverse_image_search` (~131 tokens)

Find MemeStack images that look visually similar to a given image. Accepts an HTTPS image URL or a `data:image/...;base64,...` URL for bytes pasted into agent context. Returns visually-similar matches via perceptual-hash (dHash) hamming distance, with citation blocks. Heavily rate-limited (10/min/IP) since each call hashes the input.

Input parameters:

- `limit` (number): Max results (1-20, default 10)
- `url` (string, required): HTTPS image URL, or data:image/(jpeg|png|webp);base64,... URL

Output parameters:

- `citations_combined` (object): Combined attribution for all images in this response, in three formats.
- `input_meta` (object): Computed metadata for the input image.
- `similar` (array): Visually similar images.

### `submit_image` (~330 tokens)

Submit an image to the MemeStack review queue. Paid tool — 100 sats (or USDC equivalent) per submission via the agent payment rails (x402/L402); no account or API key. IMPORTANT: there is NO refund if moderation rejects the submission (duplicate, nsfw/spam, low quality) — the fee is the anti-spam mechanism. Accepted images await human review before publication. Accepts an HTTPS image URL or a data:image/...;base64 URL (JPEG/PNG/WebP, max 8MB). Optional caption/tags/attribution are hints shown to the AI tagger and moderators — never published verbatim. If the call fails or times out, retry with the SAME payment proof to resume — one payment delivers at most one submission and is never charged twice (up to 10 delivery attempts per payment; a corrected image_url is allowed while no submission has been created yet). Note for x402 clients: 100 sats exceeds the agents-SDK default per-call cap of $0.10 whenever BTC trades above $100k — raise maxPaymentValue in withX402Client if payment is refused client-side.

Input parameters:

- `attribution` (string): Optional credit line for the original creator/source (shown to moderators, not published).
- `caption` (string): Optional caption hint for the AI tagger (admin-visible, never published verbatim).
- `image_url` (string, required): HTTPS image URL, or data:image/(jpeg|png|webp);base64,... URL. Max 8MB.
- `tags` (array): Optional tag hints (max 10).

Output parameters:

- `image_id` (string): UUID of the submitted image.
- `page_url` (string): Gallery URL where the image will be published if approved.
- `status` (string): Always 'pending_review' on success — accepted, awaiting human moderation.

### `generate_meme` (~212 tokens)

Generate a new image from a text prompt using AI (Grok Imagine). Paid tool — billed per call via the agent payment rails (x402/L402); not covered by any free quota. Generation runs asynchronously on the server and this call polls until it completes, up to ~90 seconds. If you get a "still running" error, call the tool again with the SAME payment proof to resume polling — you will never be charged twice for one payment. Note for x402 clients: "quality" mode (~$0.15) exceeds the agents-SDK default per-call cap of $0.10 — raise maxPaymentValue in withX402Client to use it.

Input parameters:

- `aspect_ratio` (string): Output image aspect ratio (default "1:1").
- `mode` (string): Generation quality tier — "standard" (default, cheaper) or "quality" (higher fidelity, costs more).
- `prompt` (string, required): Text description of the image to generate (max 2000 characters).

Output parameters:

- `caption` (string|null): AI-generated caption for the image.
- `image_id` (string): UUID of the generated image.
- `image_url` (string): Direct serve URL for the full generated image bytes.
- `tags` (array): Scored tags assigned to the generated image.
- `thumbnail_url` (string): Thumbnail URL for the generated image.
- `url` (string): MemeStack gallery page URL for the generated image.

## Diagnostics

Captured diagnostic sections: TLS, DNSSEC, Authorisation, Transports. The full working is on the page: https://verifymcp.io/servers/ai-memestack-mcp/mcp#diagnostics

## Score history

- 2026-08-03: 75
- 2026-08-02: 75
- 2026-08-01: 74
- 2026-07-31: 74
- 2026-07-30: 72
- 2026-07-29: 73
- 2026-07-28: 72
- 2026-07-27: 71
- 2026-07-26: 70

## Links

- Remote endpoint: https://mcp.memestack.ai/mcp
- Changelog RSS feed: https://verifymcp.io/servers/ai-memestack-mcp/mcp/changelog.xml
- Changelog JSON feed: https://verifymcp.io/servers/ai-memestack-mcp/mcp/changelog.json
- HTML version of this page: https://verifymcp.io/servers/ai-memestack-mcp/mcp