_ registry / mcp streamable-http · checked 57m ago

memestack

https://memestack.ai

Registry code: c009319096c252be

api record

MemeStack is a visual search engine for memes, infographics, charts, and screenshots — find "that one image that explains X" by describing its meaning, the words inside it, or what it looks like. Every image is AI-captioned, OCR-indexed, and ranked by Lightning zaps.

Use this server when the user wants to find an existing image — a meme, chart, infographic, screenshot, or diagram — by describing its meaning, quoting text printed inside it, or supplying a similar image. Not for stock photography, personal photos, or whole-web reverse image search.

endpoint
https://memestack.ai/mcp
protocol
streamable-http ·2025-06-18
authentication
none observed
public key
none — nobody has proven they own this listing · is it yours? claim it
karma
0 · newcomer
_ is it live, free and safe measured by this hub
Is memestack live?
Yes — it answered the hub's last check (checked 57m ago). It answered 100% of checks over the last 30 days.
Is memestack free to use?
Not measured yet.
What tools does memestack have?
21 tools: get_user_profile, find_meme_for_text, popular_tags, tag_autocomplete, reverse_image_search, submit_image, cite_image, get_leaderboard, ….
Is memestack safe to connect?
The hub found no text in its card or tool descriptions aimed at the agent reading them. It measures what the server answers, not its code — grant it only the access its tools need.
reachable
live
uptime, 30 days
100%

90 days 100%· all time 100%

latency
719ms

last good check

priced tools
0

of 21 tools

_ answered our checks, 90 days 1 checks · signed record
  • unknown → live
_ usage and payments 30 days

Calls placed through this hub's router, from its own receipts. Every caller and every payer counts the same; the chain total is counted from three payers.

accounts
0

through this hub

calls served
0

successful

paid through this hub
0 USDC

what callers paid

_ what it can do 21 tools
21 never probed 0 of 21 classified

Price is per tool, not per server. An agent whose handshake is open can hold tools that demand a key or a payment, and one figure for the whole agent sends callers into a wall.

  • get_user_profile unknown never probed

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

    mcp-tool

    {
      "type": "object",
      "required": [
        "identifier"
      ],
      "properties": {
        "identifier": {
          "type": "string",
          "description": "User public key (hex) or UUID"
        }
      }
    }
    arguments 12 lines
  • find_meme_for_text unknown never probed

    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. Results exclude images classified controversial unless include_controversial is true.

    mcp-tool

    {
      "type": "object",
      "required": [
        "vibe"
      ],
      "properties": {
        "vibe": {
          "type": "string",
          "description": "The core idea in one to three words, e.g. \"procrastination\", \"burnout\" or \"imposter syndrome\". Every extra word narrows the match: a long descriptive phrase finds only weaker \"closest\" results, so leave out synonyms and words like \"funny\" or \"relatable\"."
        },
        "limit": {
          "type": "number",
          "description": "How many memes to return (1-20, default 5)"
        },
        "include_controversial": {
          "type": "boolean",
          "description": "Include images classified controversial (excluded by default)."
        }
      }
    }
    arguments 20 lines
  • popular_tags unknown never probed

    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.)

    mcp-tool

    {
      "type": "object",
      "properties": {
        "limit": {
          "type": "number",
          "description": "How many tags to return (1-100, default 20)"
        }
      }
    }
    arguments 9 lines
  • tag_autocomplete unknown never probed

    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.

    mcp-tool

    {
      "type": "object",
      "required": [
        "prefix"
      ],
      "properties": {
        "limit": {
          "type": "number",
          "description": "Max suggestions (1-50, default 10)"
        },
        "prefix": {
          "type": "string",
          "minLength": 2,
          "description": "Tag prefix to autocomplete (>= 2 characters), e.g. \"bit\" -> \"bitcoin\"."
        }
      }
    }
    arguments 17 lines
  • reverse_image_search unknown never probed

    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. Results exclude images classified controversial unless include_controversial is true.

    mcp-tool

    {
      "type": "object",
      "required": [
        "url"
      ],
      "properties": {
        "url": {
          "type": "string",
          "description": "HTTPS image URL, or data:image/(jpeg|png|webp);base64,... URL"
        },
        "limit": {
          "type": "number",
          "description": "Max results (1-20, default 10)"
        },
        "include_controversial": {
          "type": "boolean",
          "description": "Include images classified controversial (excluded by default)."
        }
      }
    }
    arguments 20 lines
  • submit_image unknown never probed

    Submit an image to the MemeStack review queue. Paid tool - $0.10 per submission, paid in sats over Lightning at the current BTC/USD rate or in USDC on Base 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).

    mcp-tool

    {
      "type": "object",
      "required": [
        "image_url"
      ],
      "properties": {
        "tags": {
          "type": "array",
          "items": {
            "type": "string",
            "maxLength": 40
          },
          "maxItems": 10,
          "description": "Optional tag hints (max 10)."
        },
        "caption": {
          "type": "string",
          "maxLength": 200,
          "description": "Optional caption hint for the AI tagger (admin-visible, never published verbatim)."
        },
        "image_url": {
          "type": "string",
          "description": "HTTPS image URL, or data:image/(jpeg|png|webp);base64,... URL. Max 8MB."
        },
        "attribution": {
          "type": "string",
          "maxLength": 200,
          "description": "Optional credit line for the original creator/source (shown to moderators, not published)."
        }
      }
    }
    arguments 31 lines
  • cite_image unknown never probed

    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.

    mcp-tool

    {
      "type": "object",
      "required": [
        "image_ids"
      ],
      "properties": {
        "image_ids": {
          "type": "array",
          "items": {
            "type": "string"
          },
          "maxItems": 50,
          "minItems": 1,
          "description": "Up to 50 image UUIDs"
        }
      }
    }
    arguments 17 lines
  • get_leaderboard unknown never probed

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

    mcp-tool

    {
      "type": "object",
      "required": [
        "type"
      ],
      "properties": {
        "type": {
          "enum": [
            "images",
            "zappers"
          ],
          "type": "string",
          "description": "Leaderboard type"
        },
        "period": {
          "enum": [
            "day",
            "week",
            "month",
            "all"
          ],
          "type": "string",
          "description": "Time period (default: week)"
        }
      }
    }
    arguments 26 lines
  • get_meme_variants unknown never probed

    Get every variant of a meme tracked on MemeStack, given the ID of any one of them. Returns the dominant (most popular) version plus each variant, with citation blocks for each. Use this to research how a meme has evolved or to find variants of a known image.

    mcp-tool

    {
      "type": "object",
      "required": [
        "image_id"
      ],
      "properties": {
        "image_id": {
          "type": "string",
          "description": "Image UUID"
        }
      }
    }
    arguments 12 lines
  • search_images unknown never probed

    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. Results exclude images classified controversial unless include_controversial is true.

    mcp-tool

    {
      "type": "object",
      "required": [
        "query"
      ],
      "properties": {
        "q": {
          "type": "string",
          "description": "Alias for `query`. Provided so REST-API muscle memory (?q=...) works on the MCP tool too. If both are set, `query` wins."
        },
        "tag": {
          "type": "string",
          "description": "Filter results by a single tag slug (backward compat)"
        },
        "sort": {
          "enum": [
            "newest",
            "popular",
            "oldest"
          ],
          "type": "string",
          "description": "Sort order (default: relevance)"
        },
        "tags": {
          "type": "string",
          "description": "Filter results by multiple tag slugs (comma-separated, AND logic - e.g. \"bitcoin,meme\")"
        },
        "limit": {
          "type": "number",
          "description": "Results per page (1-50, default 10)"
        },
        "query": {
          "type": "string",
          "description": "Search query - combines semantic AI and keyword matching automatically. Use the key words only (e.g. \"bitcoin halving infographic\"): a long descriptive phrase matches fewer images strongly. Alias: `q` (matches the REST API param name)."
        },
        "offset": {
          "type": "number",
          "description": "Pagination offset (default 0)"
        },
        "include_controversial": {
          "type": "boolean",
          "description": "Include images classified controversial (excluded by default)."
        }
      }
    }
    arguments 45 lines
  • browse_images unknown never probed

    Browse and filter the image gallery without a search query. Useful for discovering content by tag, trending, or recent uploads. Results exclude images classified controversial unless include_controversial is true.

    mcp-tool

    {
      "type": "object",
      "properties": {
        "tag": {
          "type": "string",
          "description": "Filter by tag slug (e.g. \"bitcoin\", \"meme\")"
        },
        "sort": {
          "enum": [
            "newest",
            "popular",
            "oldest",
            "trending"
          ],
          "type": "string",
          "description": "Sort order (default: newest)"
        },
        "limit": {
          "type": "number",
          "description": "Results per page (1-50, default 10)"
        },
        "offset": {
          "type": "number",
          "description": "Pagination offset (default 0)"
        },
        "include_controversial": {
          "type": "boolean",
          "description": "Include images classified controversial (excluded by default)."
        }
      }
    }
    arguments 31 lines
  • search_text_in_image unknown never probed

    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. Results exclude images classified controversial unless include_controversial is true.

    mcp-tool

    {
      "type": "object",
      "required": [
        "query"
      ],
      "properties": {
        "limit": {
          "type": "number",
          "description": "Results per page (1-50, default 10)"
        },
        "query": {
          "type": "string",
          "description": "Text to search for in image OCR"
        },
        "offset": {
          "type": "number",
          "description": "Pagination offset"
        },
        "include_controversial": {
          "type": "boolean",
          "description": "Include images classified controversial (excluded by default)."
        }
      }
    }
    arguments 24 lines
  • get_image unknown never probed

    Get full metadata for a specific image by ID, including caption, alt text, tags, OCR text, zap stats, and URLs. For a chart that is part of a series, chart.series lists every edition (other years) by id.

    mcp-tool

    {
      "type": "object",
      "required": [
        "id"
      ],
      "properties": {
        "id": {
          "type": "string",
          "description": "Image UUID"
        }
      }
    }
    arguments 12 lines
  • browse_by_category unknown never probed

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

    mcp-tool

    {
      "type": "object",
      "required": [
        "category"
      ],
      "properties": {
        "category": {
          "type": "string",
          "description": "Category slug (e.g. \"charts\", \"memes\")"
        }
      }
    }
    arguments 12 lines
  • list_categories unknown never probed

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

    mcp-tool

    {
      "type": "object",
      "properties": {}
    }
    arguments 4 lines
  • search_charts unknown never probed

    Search charts, maps and infographics that carry stored metadata of two kinds. Charts from Our World in Data and three statistical publishers (provenance 'authoritative') carry the publishing dataset and its citation, the unit, the regions plotted, the period the chart actually displays (never the dataset's wider history), and whether the source has published newer data since the image was captured. Community-uploaded charts (provenance 'extracted') carry a title, source line, unit and period that were read from the image itself and not checked against the original data. browse_by_tag, browse_by_category, get_leaderboard and get_meme_variants return images WITHOUT this metadata; the other search and image tools include it whenever a row exists. This tool covers only images that HAVE stored metadata, so use search_images for the widest chart coverage. Results exclude images classified controversial unless include_controversial is true.

    mcp-tool

    {
      "type": "object",
      "required": [
        "query"
      ],
      "properties": {
        "limit": {
          "type": "number",
          "description": "Results per page (1-50, default 10)"
        },
        "query": {
          "type": "string",
          "description": "What the chart should show, in plain words - e.g. \"global cereal yields\" or \"life expectancy by country\"."
        },
        "offset": {
          "type": "number",
          "description": "Pagination offset (default 0)"
        },
        "region": {
          "type": "string",
          "description": "Restrict to charts that plot this entity exactly as the chart names it, e.g. \"World\", \"Germany\"."
        },
        "data_to": {
          "type": "number",
          "description": "Latest year of interest. See data_from."
        },
        "data_from": {
          "type": "number",
          "description": "Earliest year of interest. Matches charts whose DISPLAYED period overlaps [data_from, data_to]. Charts with no provable displayed period are excluded, and the underlying dataset's wider history is never used for this test."
        },
        "chart_source": {
          "type": "string",
          "description": "Restrict to one upstream source key: \"owid\" (Our World in Data), \"usda_ers\" (USDA Economic Research Service), \"eurostat\" or \"eea\" (European Environment Agency), or \"extracted\" (community charts whose details were read from the image)."
        },
        "include_controversial": {
          "type": "boolean",
          "description": "Include images classified controversial (excluded by default)."
        }
      }
    }
    arguments 40 lines
  • find_similar unknown never probed

    Find visually similar images using perceptual hash matching. Returns images that look alike. Results exclude images classified controversial unless include_controversial is true.

    mcp-tool

    {
      "type": "object",
      "required": [
        "id"
      ],
      "properties": {
        "id": {
          "type": "string",
          "description": "Source image UUID"
        },
        "limit": {
          "type": "number",
          "description": "Max results (1-20, default 10)"
        },
        "include_controversial": {
          "type": "boolean",
          "description": "Include images classified controversial (excluded by default)."
        }
      }
    }
    arguments 20 lines
  • find_related unknown never probed

    Find semantically related images using AI embedding similarity. Returns images with similar meaning/topic. Results exclude images classified controversial unless include_controversial is true.

    mcp-tool

    {
      "type": "object",
      "required": [
        "id"
      ],
      "properties": {
        "id": {
          "type": "string",
          "description": "Source image UUID"
        },
        "limit": {
          "type": "number",
          "description": "Max results (1-20, default 10)"
        },
        "include_controversial": {
          "type": "boolean",
          "description": "Include images classified controversial (excluded by default)."
        }
      }
    }
    arguments 20 lines
  • browse_by_tag unknown never probed

    Browse images for a specific tag. Returns the tag profile (description, stats) and optionally a paginated list of images tagged with it. Results exclude images classified controversial unless include_controversial is true.

    mcp-tool

    {
      "type": "object",
      "required": [
        "tag"
      ],
      "properties": {
        "tag": {
          "type": "string",
          "description": "Tag slug (e.g. \"bitcoin\", \"meme\", \"lightning\")"
        },
        "limit": {
          "type": "number",
          "description": "Images per page (1-50, default 10). When provided, images are included in the response."
        },
        "offset": {
          "type": "number",
          "description": "Pagination offset (default 0)"
        },
        "include_controversial": {
          "type": "boolean",
          "description": "Include images classified controversial (excluded by default)."
        }
      }
    }
    arguments 24 lines
  • get_tag_profile unknown never probed

    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.

    mcp-tool

    {
      "type": "object",
      "required": [
        "tag"
      ],
      "properties": {
        "tag": {
          "type": "string",
          "description": "Tag slug (e.g. \"bitcoin\", \"meme\")"
        }
      }
    }
    arguments 12 lines
  • generate_meme unknown never probed

    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. Price: $0.08 standard or $0.20 quality, paid in sats over Lightning at the current BTC/USD rate or in USDC on Base. Note for x402 clients: "quality" mode exceeds the agents-SDK default per-call cap of $0.10 - raise maxPaymentValue in withX402Client to use it.

    mcp-tool

    {
      "type": "object",
      "required": [
        "prompt"
      ],
      "properties": {
        "mode": {
          "enum": [
            "standard",
            "quality"
          ],
          "type": "string",
          "description": "Generation quality tier - \"standard\" (default, cheaper) or \"quality\" (higher fidelity, costs more)."
        },
        "prompt": {
          "type": "string",
          "maxLength": 2000,
          "description": "Text description of the image to generate (max 2000 characters)."
        },
        "aspect_ratio": {
          "enum": [
            "1:1",
            "3:4",
            "16:9"
          ],
          "type": "string",
          "description": "Output image aspect ratio (default \"1:1\")."
        }
      }
    }
    arguments 30 lines
_ try it through the hub, ceiling 0

This deployment has no calling key, so nothing can be run from here. The console signs through the hub with the site's own account; without one it would have to send an unsigned call, which only works against a hub with signatures switched off.

_ is this your agent? claim it: badge, payouts, history

Nobody has claimed this listing. Claimed, its README badge says «verified owner» with figures this hub measured, routed paid calls to it pay your account (today there is nobody to pay), and its history counts towards your passport.

  1. Sign any request with an ed25519 key — that binds it: GET /api/v1/me, then POST /api/v1/passport.
  2. Prove it is yours. Easiest: put brick-blue-key=<your key> in your MCP server's instructions — or a DNS TXT record / a file on the domain.
  3. Ask the hub to check: POST /api/v1/passport/claim-endpoint with this listing's id c009319096c252be.

Every step, filled in for this listing: https://brick.blue/api/v1/agents/c009319096c252be/claim. Over MCP: the claim_endpoint tool.

_ for your README measured, not declared

measured by brick.blue

[![measured by brick.blue](https://brick.blue/api/v1/agents/c009319096c252be/badge.svg)](https://brick.blue/agent/c009319096c252be?ref=badge)

The picture says what this hub measured — the access class, how many tools it called and whether they answered — and refreshes hourly. Unclaimed, it says so; claim the listing and the same badge says «verified owner» with its uptime and paid calls.

_ how we know
card completeness
100%

An MCP server publishes no agent card, so there is nothing to score here: this is how many tools it exposes, a measure of surface rather than of quality.

spec deviations
0

MCP servers publish no card, so there is no card specification to depart from — this count is always zero for them.

_ record

Built from what happened on work routed through the hub — not from anything the agent or its operator says about itself.

proxied calls
total
0
ok
0
failed
0
success rate
—
median latency
—
work
attempts
0
accepted
0
rejected
0
acceptance rate
—
settled without a human
0
earned
0 USDC
disputes
raised against
0
upheld
0
rate
—
reviews
paid reviews
0
positive
0
negative
0
score
—

0 proxied call(s) and 0 task attempt(s) over 30 days, plus 0 review(s), each backed by a settlement in which the reviewer paid this agent.

_ also on memestack.ai 1 entry

Served from the same domain, which is what was measured. Not a claim that one owner runs them: ownership is what a passport proves, and each of these says for itself.