_ registry / mcp http-sse · checked 1h ago

wikiprompt

https://mcp.wikiprompt.org

Registry code: 872c5272dc20699c

api record

Wikiprompt is the Wikipedia of AI prompts: a curated catalog of 900+ prompts for ChatGPT, Claude, GPT Image, Seedance, Midjourney and more, in 7 languages. Use search_prompts to find prompts (filter by model, style, prompt type, rating), get_prompt for the full text, and submit_prompt (with an API key) to contribute. Always credit the prompt URL and original author when using a prompt.

endpoint
https://mcp.wikiprompt.org/mcp
protocol
http-sse ·2025-06-18
authentication
none observed
public key
none — nobody has proven they own this listing
karma
0 · newcomer
reachable
live
uptime, 30 days
100%

90 days 100%· all time 100%

latency
227ms

last good check

priced tools
0

of 12 tools

_ answered our checks, 90 days 1 checks · signed record
  • unknown → live
_ used through this hub 30 days

The one measurement on this page that an operator cannot produce by editing a file on its own server: somebody else chose it, and paid to. Read the accounts before the calls — volume from one account is one relationship, and calling yourself is the cheap half. Both are what the ranking is built from, printed so the order can be checked rather than taken on trust.

accounts
0

distinct, expensive to fake

calls served
0

successful, last 30 days

_ what it can do 12 tools
3 open 9 never probed 3 of 12 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_featured open 1h ago

    Get the editor-featured prompts (the best of the catalog).

    mcp-tool

    {
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "properties": {
    "limit": {
      "type": "integer",
      "maximum": 30,
      "minimum": 1
    }
  },
  "additionalProperties": false
}
    arguments 12 lines
  • get_recent open 1h ago

    Get the most recently added prompts, optionally filtered by category.

    mcp-tool

    {
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "properties": {
    "limit": {
      "type": "integer",
      "maximum": 50,
      "minimum": 1
    },
    "category": {
      "enum": [
        "creative",
        "marketing",
        "business",
        "productivity",
        "coding",
        "education",
        "personal",
        "research",
        "other"
      ],
      "type": "string"
    }
  },
  "additionalProperties": false
}
    arguments 26 lines
  • get_stats open 1h ago

    Get catalog statistics: total prompts, contributors, and the media/type breakdown.

    mcp-tool

    {
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "properties": {}
}
    arguments 5 lines
  • search_prompts unknown never probed

    Search the Wikiprompt catalog of 900+ curated AI prompts. All filters combine. Returns compact rows with the canonical URL; call get_prompt with a slug for the full prompt text.

    mcp-tool

    {
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "properties": {
    "sort": {
      "enum": [
        "relevance",
        "rating",
        "recent",
        "views"
      ],
      "type": "string"
    },
    "limit": {
      "type": "integer",
      "maximum": 50,
      "minimum": 1
    },
    "media": {
      "enum": [
        "image",
        "video",
        "text",
        "visual"
      ],
      "type": "string",
      "description": "Output type; \"visual\" = image or video"
    },
    "model": {
      "type": "string",
      "maxLength": 120,
      "description": "AI model/tool, e.g. \"GPT Image 2\", \"Seedance 2.0\", \"ChatGPT\", \"Claude\" (see list_facets for values)"
    },
    "query": {
      "type": "string",
      "maxLength": 200,
      "description": "Full-text query (typo-tolerant). Omit to browse by filters only."
    },
    "style": {
      "type": "string",
      "maxLength": 60,
      "description": "Visual style label, e.g. \"cinematic\" (see list_facets)"
    },
    "offset": {
      "type": "integer",
      "minimum": 0
    },
    "category": {
      "enum": [
        "creative",
        "marketing",
        "business",
        "productivity",
        "coding",
        "education",
        "personal",
        "research",
        "other"
      ],
      "type": "string"
    },
    "featured": {
      "type": "boolean",
      "description": "Editor-featured prompts only"
    },
    "min_rating": {
      "type": "integer",
      "maximum": 5,
      "minimum": 1,
      "description": "Minimum average result-quality rating (1-5)"
    },
    "prompt_type": {
      "enum": [
        "system-prompt",
        "template",
        "one-shot",
        "agent",
        "workflow",
        "persona",
        "creative-gen"
      ],
      "type": "string"
    }
  },
  "additionalProperties": false
}
    arguments 86 lines
  • get_prompt unknown never probed

    Fetch one prompt in full by slug (or UUID): complete prompt text, structured metadata (model, prompt type, style, quality assessment), author, media and source attribution. Optional locale (es, pt, fr, zh, de, ja) returns the translated version.

    mcp-tool

    {
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "required": [
    "slug_or_id"
  ],
  "properties": {
    "locale": {
      "enum": [
        "en",
        "es",
        "pt",
        "fr",
        "zh",
        "de",
        "ja"
      ],
      "type": "string"
    },
    "slug_or_id": {
      "type": "string",
      "maxLength": 200,
      "minLength": 1
    }
  },
  "additionalProperties": false
}
    arguments 27 lines
  • list_categories unknown never probed

    List the 9 Wikiprompt categories with live prompt counts.

    mcp-tool

    {
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "properties": {}
}
    arguments 5 lines
  • list_facets unknown never probed

    List the searchable facet values with counts: AI models/tools, visual styles, and prompt types. Use these values in search_prompts filters.

    mcp-tool

    {
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "properties": {}
}
    arguments 5 lines
  • get_trending unknown never probed

    Get prompts trending right now (1000+ views in the last 7 days). May be empty when nothing crosses the threshold.

    mcp-tool

    {
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "properties": {}
}
    arguments 5 lines
  • random_prompt unknown never probed

    Get one random prompt from the catalog, optionally within a category.

    mcp-tool

    {
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "properties": {
    "category": {
      "enum": [
        "creative",
        "marketing",
        "business",
        "productivity",
        "coding",
        "education",
        "personal",
        "research",
        "other"
      ],
      "type": "string"
    }
  },
  "additionalProperties": false
}
    arguments 21 lines
  • get_prompt_translations unknown never probed

    List the available translations of a prompt (locale + translated title).

    mcp-tool

    {
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "required": [
    "slug_or_id"
  ],
  "properties": {
    "slug_or_id": {
      "type": "string",
      "maxLength": 200,
      "minLength": 1
    }
  },
  "additionalProperties": false
}
    arguments 15 lines
  • prompts_by_author unknown never probed

    List prompts contributed by a specific author handle (as shown on prompt pages).

    mcp-tool

    {
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "required": [
    "handle"
  ],
  "properties": {
    "limit": {
      "type": "integer",
      "maximum": 50,
      "minimum": 1
    },
    "handle": {
      "type": "string",
      "maxLength": 100,
      "minLength": 1
    }
  },
  "additionalProperties": false
}
    arguments 20 lines
  • submit_prompt unknown never probed

    Submit a new prompt to Wikiprompt. Requires a wikiprompt API key (create one from your profile at wikiprompt.org). Pass it as the api_key argument or send an Authorization: Bearer header.

    mcp-tool

    {
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "required": [
    "title",
    "content"
  ],
  "properties": {
    "tags": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "maxItems": 10
    },
    "title": {
      "type": "string",
      "maxLength": 120,
      "minLength": 3
    },
    "api_key": {
      "type": "string",
      "description": "Your wikiprompt API key (or use an Authorization: Bearer header)"
    },
    "content": {
      "type": "string",
      "maxLength": 20000,
      "minLength": 10,
      "description": "The prompt text itself"
    },
    "category": {
      "enum": [
        "creative",
        "marketing",
        "business",
        "productivity",
        "coding",
        "education",
        "personal",
        "research",
        "other"
      ],
      "type": "string"
    },
    "media_urls": {
      "type": "array",
      "items": {
        "type": "string",
        "format": "uri"
      },
      "maxItems": 20,
      "description": "URLs of example results (images/videos)"
    },
    "description": {
      "type": "string",
      "maxLength": 500,
      "description": "1-2 sentences: what it does and which model it targets"
    }
  },
  "additionalProperties": false
}
    arguments 61 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.

_ for your README measured, not declared

measured by brick.blue

[![measured by brick.blue](https://brick.blue/api/v1/agents/872c5272dc20699c/badge.svg)](https://brick.blue/agent/872c5272dc20699c)

The picture says what this hub measured — the access class, how many tools it called and whether they answered — and refreshes hourly. Own the domain? Prove it and the listing carries a verified badge here too: passport.

_ 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.