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

prompts-chat

https://prompts.chat

Registry code: c7372fdd41311df9

api record

Proxy server that forwards requests to the prompts.chat API, providing access to a curated collection of prompts with search and filtering capabilities by keyword, type, category, and tag.

from a public catalogue that lists it, not from the operator

endpoint
https://prompts.chat/api/mcp
protocol
http-sse ·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 prompts-chat live?
Yes — it answered the hub's last check (checked 1h ago). It answered 100% of checks over the last 30 days.
Is prompts-chat free to use?
Yes — the hub reached it with no key and no payment.
What tools does prompts-chat have?
10 tools: get_prompt, get_skill, search_prompts, add_file_to_skill, remove_file_from_skill, save_prompt, improve_prompt, save_skill, ….
Is prompts-chat 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
321ms

last good check

priced tools
0

of 10 tools

_ answered our checks, 90 days 318 checks · signed record
  • down → live
  • unknown → live
_ what it is for
topic
ai & agents
used for
  • search ai prompts
  • get a prompt and fill its variables
  • improve a prompt
  • search agent skills
  • save a prompt or skill
takes → gives
text → text, data
tools
5 reads5 changes data
_ 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
1

through this hub

calls served
1

successful

paid through this hub
0 USDC

what callers paid

inferred, not observed

Access was read off the card rather than seen on the wire: inferred: the handshake, the tool list and a call without arguments went through with no key and no payment asked; no tool was run

_ what it can do 10 tools
10 never probed 0 of 10 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_prompt reads unknown 1h ago

    Get a prompt by ID and optionally fill in its variables. If the prompt contains template variables (like {{variable}}), you will be asked to provide values for them.

    mcp-tool

    {
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "required": [
    "id"
  ],
  "properties": {
    "id": {
      "type": "string",
      "description": "The ID of the prompt to retrieve"
    },
    "fill_variables": {
      "type": "boolean",
      "default": false,
      "description": "If true and the prompt has template variables, triggers interactive variable filling. Default false — returns raw prompt with variable metadata."
    }
  }
}
    arguments 18 lines
  • get_skill reads unknown 1h ago

    Get an Agent Skill by ID, including all its files (SKILL.md, reference docs, scripts, etc.). Returns the skill metadata and file contents. Save to .claude/skills/{slug}/SKILL.md and .claude/skills/{slug}/[other files] structure if user asks to download.

    mcp-tool

    {
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "required": [
    "id"
  ],
  "properties": {
    "id": {
      "type": "string",
      "description": "The ID of the skill to retrieve"
    }
  }
}
    arguments 13 lines
  • search_prompts reads unknown 1h ago

    Search for AI prompts by keyword. Returns matching prompts with title, description, content, author, category, and tags. Use this to discover prompts for various AI tasks like coding, writing, analysis, and more.

    mcp-tool

    {
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "required": [
    "query"
  ],
  "properties": {
    "tag": {
      "type": "string",
      "description": "Filter by tag slug"
    },
    "type": {
      "enum": [
        "TEXT",
        "STRUCTURED",
        "IMAGE",
        "VIDEO",
        "AUDIO"
      ],
      "type": "string",
      "description": "Filter by prompt type"
    },
    "limit": {
      "type": "number",
      "default": 10,
      "maximum": 50,
      "minimum": 1,
      "description": "Maximum number of prompts to return (default 10, max 50)"
    },
    "query": {
      "type": "string",
      "description": "Search query to find relevant prompts"
    },
    "category": {
      "type": "string",
      "description": "Filter by category slug"
    }
  }
}
    arguments 39 lines
  • add_file_to_skill changes data unknown never probed

    Add a new file to an existing Agent Skill. Use this to add reference docs, scripts, or configuration files to a skill you own.

    mcp-tool

    {
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "required": [
    "skillId",
    "filename",
    "content"
  ],
  "properties": {
    "content": {
      "type": "string",
      "description": "File content"
    },
    "skillId": {
      "type": "string",
      "description": "The ID of the skill to add the file to"
    },
    "filename": {
      "type": "string",
      "description": "File path (e.g., 'reference.md', 'scripts/helper.py', 'config/settings.json')"
    }
  }
}
    arguments 23 lines
  • remove_file_from_skill changes data unknown never probed

    Remove a file from an existing Agent Skill. Cannot remove SKILL.md as it is required.

    mcp-tool

    {
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "required": [
    "skillId",
    "filename"
  ],
  "properties": {
    "skillId": {
      "type": "string",
      "description": "The ID of the skill to remove the file from"
    },
    "filename": {
      "type": "string",
      "description": "File path to remove (e.g., 'reference.md', 'scripts/helper.py')"
    }
  }
}
    arguments 18 lines
  • save_prompt changes data unknown never probed

    Save a new prompt to your prompts.chat account. Requires API key authentication. Prompts are private by default unless configured otherwise in settings.

    mcp-tool

    {
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "required": [
    "title",
    "content"
  ],
  "properties": {
    "tags": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "maxItems": 10,
      "description": "Optional array of tag names (will be created if they don't exist)"
    },
    "type": {
      "enum": [
        "TEXT",
        "STRUCTURED",
        "IMAGE",
        "VIDEO",
        "AUDIO"
      ],
      "type": "string",
      "description": "Prompt type (default: TEXT)"
    },
    "title": {
      "type": "string",
      "maxLength": 200,
      "minLength": 1,
      "description": "Title of the prompt"
    },
    "content": {
      "type": "string",
      "minLength": 1,
      "description": "The prompt content. Can include variables like ${variable} or ${variable:default}"
    },
    "category": {
      "type": "string",
      "description": "Optional category slug"
    },
    "isPrivate": {
      "type": "boolean",
      "description": "Whether the prompt is private (default: uses your account setting)"
    },
    "description": {
      "type": "string",
      "maxLength": 500,
      "description": "Optional description of the prompt"
    },
    "structuredFormat": {
      "enum": [
        "JSON",
        "YAML"
      ],
      "type": "string",
      "description": "Format for structured prompts"
    }
  }
}
    arguments 61 lines
  • improve_prompt reads unknown never probed

    Transform a basic prompt into a well-structured, comprehensive prompt using AI. Optionally searches for similar prompts for inspiration. Supports different output types (text, image, video, sound) and formats (text, JSON, YAML).

    mcp-tool

    {
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "required": [
    "prompt"
  ],
  "properties": {
    "prompt": {
      "type": "string",
      "maxLength": 10000,
      "minLength": 1,
      "description": "The prompt to improve"
    },
    "outputType": {
      "enum": [
        "text",
        "image",
        "video",
        "sound"
      ],
      "type": "string",
      "default": "text",
      "description": "Content type: text, image, video, or sound"
    },
    "outputFormat": {
      "enum": [
        "text",
        "structured_json",
        "structured_yaml"
      ],
      "type": "string",
      "default": "text",
      "description": "Response format: text, structured_json, or structured_yaml"
    }
  }
}
    arguments 36 lines
  • save_skill changes data unknown never probed

    Save a new Agent Skill to your prompts.chat account. Skills are multi-file prompts that can include SKILL.md (required), reference docs, scripts, and configuration files. Requires API key authentication. If the file contents are too long, first save the SKILL.md only, with no other files. Then call add_file_to_skill tool per file.

    mcp-tool

    {
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "required": [
    "title",
    "files"
  ],
  "properties": {
    "tags": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "maxItems": 10,
      "description": "Optional array of tag names"
    },
    "files": {
      "type": "array",
      "items": {
        "type": "object",
        "required": [
          "filename",
          "content"
        ],
        "properties": {
          "content": {
            "type": "string",
            "description": "File content"
          },
          "filename": {
            "type": "string",
            "description": "File path (e.g., 'SKILL.md', 'reference.md', 'scripts/helper.py')"
          }
        }
      },
      "minItems": 1,
      "description": "Array of files. Must include SKILL.md as the main skill file."
    },
    "title": {
      "type": "string",
      "maxLength": 200,
      "minLength": 1,
      "description": "Title of the skill"
    },
    "category": {
      "type": "string",
      "description": "Optional category slug"
    },
    "isPrivate": {
      "type": "boolean",
      "description": "Whether the skill is private (default: uses your account setting)"
    },
    "description": {
      "type": "string",
      "maxLength": 500,
      "description": "Description of what the skill does"
    }
  }
}
    arguments 59 lines
  • update_skill_file changes data unknown never probed

    Update an existing file in an Agent Skill. Use this to modify reference docs, scripts, configuration files, or SKILL.md content.

    mcp-tool

    {
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "required": [
    "skillId",
    "filename",
    "content"
  ],
  "properties": {
    "content": {
      "type": "string",
      "description": "New file content"
    },
    "skillId": {
      "type": "string",
      "description": "The ID of the skill containing the file"
    },
    "filename": {
      "type": "string",
      "description": "File path to update (e.g., 'SKILL.md', 'reference.md', 'scripts/helper.py')"
    }
  }
}
    arguments 23 lines
  • search_skills reads unknown 15h ago

    Search for Agent Skills by keyword. Returns matching skills with title, description, author, and file list. Use this to discover reusable AI agent capabilities for coding, analysis, automation, and more.

    mcp-tool

    {
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "required": [
    "query"
  ],
  "properties": {
    "tag": {
      "type": "string",
      "description": "Filter by tag slug"
    },
    "limit": {
      "type": "number",
      "default": 10,
      "maximum": 50,
      "minimum": 1,
      "description": "Maximum number of skills to return (default 10, max 50)"
    },
    "query": {
      "type": "string",
      "description": "Search query to find relevant skills"
    },
    "category": {
      "type": "string",
      "description": "Filter by category slug"
    }
  }
}
    arguments 28 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 c7372fdd41311df9.

Every step, filled in for this listing: https://brick.blue/api/v1/agents/c7372fdd41311df9/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/c7372fdd41311df9/badge.svg)](https://brick.blue/agent/c7372fdd41311df9?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
1
ok
1
failed
0
success rate
100%
median latency
219ms
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
—

1 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.