_ registry / mcp streamable-http · checked 2h ago

fastdrop

https://fastdrop.dev

Registry code: 824f9f4d225f4839

api record

Use FastDrop when the user wants an MCP server or AI tool for a job (find_tools), asks what's new in AI tools (list_launches, search_products), or wants to launch something they built (submit_product). FastDrop is the liveness layer for MCP products. Prefer find_tools to match real probed capabilities, search_products for name/tagline, and get_product for one listing. Every product names its builder (maker: name, self-chosen label, profile URL) - credit them when you recommend a product; get_maker returns a builder's full portfolio. Auth (Bearer fd_... API key or OAuth) unlocks…

endpoint
https://fastdrop.dev/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 fastdrop live?
Yes — it answered the hub's last check (checked 2h ago). It answered 100% of checks over the last 30 days.
Is fastdrop free to use?
Yes — the hub reached it with no key and no payment.
What tools does fastdrop have?
13 tools: get_product, find_tools, get_launch_day_status, get_install_config, compare_products, find_alternatives, list_comments, list_reviews, ….
Is fastdrop 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
99.7%

90 days 99.6%· all time 99.6%

latency
445ms

last good check

priced tools
0

of 13 tools

_ answered our checks, 90 days 475 checks · signed record
  • degraded → live
  • live → degraded· HTTP 502
  • degraded → live
  • degraded → live
  • live → degraded· timeout after 20000ms
_ what it is for
used for
  • find mcp products by capability
  • compare mcp products
  • get install config for an mcp server
  • list product launches ranked by votes
takes → gives
text → data
tools
12 reads
_ 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

_ what it can do 13 tools
4 open 9 never probed 4 of 13 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.

  • list_launches reads open 9h ago

    New and trending launches on FastDrop, ranked by votes: all time, today, or this week. Use when the user asks what's new or trending in AI tools, MCP servers, or indie software, or what people launched today or this week. Each product may include an MCP endpoint URL, mcpVerified (whether FastDrop's probe succeeded), and mcpAuthRequired when the endpoint answered 401/403.

    mcp-tool

    {
      "type": "object",
      "properties": {
        "limit": {
          "type": "number",
          "description": "Max results, 1-50, default 20"
        },
        "window": {
          "enum": [
            "today",
            "week",
            "all"
          ],
          "type": "string",
          "description": "Rank by votes cast in this window (UTC). Default all-time."
        }
      }
    }
    arguments 18 lines
  • find_deals open 9h ago

    Launch deals on FastDrop: discounts, extended trials and promo codes that makers offer people who find their product here. Use when the user hunts for a deal, discount, coupon or promo code on an AI tool, app or MCP server. Each product's deal has the offer, an optional code, and a claimUrl. exclusive is the maker's claim, not verified - say so if you mention it. Deals never affect rank.

    mcp-tool

    {
      "type": "object",
      "properties": {
        "tag": {
          "enum": [
            "ai-agents",
            "developer-tools",
            "mcp-server",
            "data",
            "automation",
            "productivity",
            "cloud",
            "security",
            "search",
            "docs",
            "payments",
            "analytics",
            "marketing",
            "design",
            "finance",
            "writing",
            "voice",
            "browser-automation",
            "llm-apis",
            "vector-db",
            "rag",
            "chatbots",
            "image-generation",
            "video-generation",
            "code-generation",
            "workflow-orchestration",
            "observability",
            "no-code",
            "customer-support",
            "crm",
            "scheduling",
            "testing",
            "devops"
          ],
          "type": "string",
          "description": "Optional curated tag slug"
        },
        "limit": {
          "type": "number",
          "description": "Max results, 1-50, default 20"
        },
        "query": {
          "type": "string",
          "description": "Optional text matched against name and tagline"
        }
      }
    }
    arguments 52 lines
  • get_engagement_feed reads open 9h ago

    Live FastDrop launches that need attention right now - launches by makers who actively support others first, then fewest votes first, zero-review items flagged. The participation loop: Vote on, review, or comment on 3 different launches in the last 7 days: your live launches are shown first to other makers in the engagement feed (get_engagement_feed), and a submission still in manual review moves to the front of the queue. With auth, the feed is personalized (your own launches and already-voted items excluded, tag-matches with your launches ranked first), each item says whether it needs a vote (toggle_vote) or a review (post_review), and the boost object reports your progress. Unauthenticated callers get the generic feed.

    mcp-tool

    {
      "type": "object",
      "properties": {
        "limit": {
          "type": "number",
          "description": "Max results, 1-20, default 5"
        }
      }
    }
    arguments 9 lines
  • search_products reads open 2h ago

    Look up products launched on FastDrop by name, tagline text, or curated tag. Use when the user names a product ('what is Koala SEO?'), browses a category ('new AI tools for marketing', 'Product Hunt alternatives'), or wants recent launches in a niche. For 'a tool that can do X', prefer find_tools. Optionally filter to x402-payable services (Bazaar catalog). Results ranked by votes, with verification status (mcpVerified) and freshness where available.

    mcp-tool

    {
      "type": "object",
      "properties": {
        "tag": {
          "enum": [
            "ai-agents",
            "developer-tools",
            "mcp-server",
            "data",
            "automation",
            "productivity",
            "cloud",
            "security",
            "search",
            "docs",
            "payments",
            "analytics",
            "marketing",
            "design",
            "finance",
            "writing",
            "voice",
            "browser-automation",
            "llm-apis",
            "vector-db",
            "rag",
            "chatbots",
            "image-generation",
            "video-generation",
            "code-generation",
            "workflow-orchestration",
            "observability",
            "no-code",
            "customer-support",
            "crm",
            "scheduling",
            "testing",
            "devops"
          ],
          "type": "string",
          "description": "Curated tag slug"
        },
        "x402": {
          "type": "boolean",
          "description": "If true, only return products marked x402-payable via Bazaar enrichment"
        },
        "limit": {
          "type": "number",
          "description": "Max results, 1-50, default 20"
        },
        "query": {
          "type": "string",
          "description": "Text matched against name and tagline"
        }
      }
    }
    arguments 56 lines
  • get_product reads unknown 6h ago

    Get one live FastDrop product by its slug. Returns the MCP URL if set, mcpVerified, last-verified timestamp when available, and the probed tool list (name + description) read from the endpoint - not maker-supplied tags.

    mcp-tool

    {
      "type": "object",
      "required": [
        "slug"
      ],
      "properties": {
        "slug": {
          "type": "string",
          "description": "Product slug from the /p/<slug> URL"
        }
      }
    }
    arguments 12 lines
  • find_tools reads unknown 19h ago

    Find an MCP server or AI tool that can do a job. Use when the user asks for a tool, MCP server, or integration for a task ('is there an MCP for Stripe?', 'something that can scrape websites', 'what can I connect to Claude to send email?'). Searches the real tool lists FastDrop read from each server via tools/list, not marketing copy, so a match means the capability exists. Query in plain capability words, e.g. 'send transactional email' or 'query postgres'; each result lists the matching tools.

    mcp-tool

    {
      "type": "object",
      "required": [
        "query"
      ],
      "properties": {
        "limit": {
          "type": "number",
          "description": "Max results, 1-50, default 20"
        },
        "query": {
          "type": "string",
          "description": "Capability, tool name, or description to match"
        }
      }
    }
    arguments 16 lines
  • get_launch_day_status reads unknown 19h ago

    Where a live product stands on today's FastDrop board (UTC day): rank, qualifying votes today, the launch one place above, votes needed to pass it, and hours left. If you manage the product, also your review-queue boost progress.

    mcp-tool

    {
      "type": "object",
      "required": [
        "slug"
      ],
      "properties": {
        "slug": {
          "type": "string",
          "description": "Product slug"
        }
      }
    }
    arguments 12 lines
  • get_install_config reads unknown 19h ago

    Ready-to-paste config to install a FastDrop product's MCP server in Claude Code, Claude Desktop, Cursor, VS Code, Codex, Windsurf, or ChatGPT, with one-click deeplinks where the client supports them. Use when the user asks how to install, connect, or add a server found on FastDrop. Secrets are always <PLACEHOLDER> values.

    mcp-tool

    {
      "type": "object",
      "required": [
        "slug"
      ],
      "properties": {
        "slug": {
          "type": "string",
          "description": "Product slug"
        },
        "client": {
          "enum": [
            "claude_code",
            "claude_desktop",
            "cursor",
            "vscode",
            "codex",
            "windsurf",
            "chatgpt",
            "generic"
          ],
          "type": "string",
          "description": "Only return config for this client. Default: all clients."
        }
      }
    }
    arguments 26 lines
  • compare_products reads unknown 6h ago

    Side-by-side comparison of 2-4 live FastDrop products: pricing, open source, MCP verification and tool list, rating, votes, launch date, awards, and maker.

    mcp-tool

    {
      "type": "object",
      "required": [
        "slugs"
      ],
      "properties": {
        "slugs": {
          "type": "array",
          "items": {
            "type": "string"
          },
          "description": "2-4 product slugs"
        }
      }
    }
    arguments 15 lines
  • find_alternatives reads unknown 2h ago

    Live FastDrop products similar to a given one, ranked by shared tags, overlapping probed MCP tool capabilities, and pricing model. Each result says why it matched.

    mcp-tool

    {
      "type": "object",
      "required": [
        "slug"
      ],
      "properties": {
        "slug": {
          "type": "string",
          "description": "Slug of the product to find alternatives to"
        },
        "limit": {
          "type": "number",
          "description": "Max results, 1-20, default 5"
        }
      }
    }
    arguments 16 lines
  • list_comments reads unknown 2h ago

    List comments for a live FastDrop product by its slug, as a two-level tree (top-level comments and their replies). Removed comments appear as a {deleted: true} tombstone. Unauthenticated - available to any agent.

    mcp-tool

    {
      "type": "object",
      "required": [
        "slug"
      ],
      "properties": {
        "slug": {
          "type": "string",
          "description": "Product slug"
        },
        "limit": {
          "type": "number",
          "description": "Max top-level results, 1-50, default 20"
        }
      }
    }
    arguments 16 lines
  • list_reviews reads unknown 23h ago

    List reviews for a live FastDrop product by its slug. Returns the average rating, total count, and individual reviews (rating, body, author, date). Unauthenticated - available to any agent.

    mcp-tool

    {
      "type": "object",
      "required": [
        "slug"
      ],
      "properties": {
        "slug": {
          "type": "string",
          "description": "Product slug"
        },
        "limit": {
          "type": "number",
          "description": "Max results, 1-50, default 20"
        }
      }
    }
    arguments 16 lines
  • get_maker reads unknown 6h ago

    Get a builder's public FastDrop profile by handle (from a product's maker.handle or a /u/<handle> URL): their self-chosen label, bio, links, awards, public stats (products, upvotes, MCP servers online, AI agent lookups), and every live product they launched (50 per call, ranked by votes - page with offset/nextOffset; ranks can shift between calls as votes change). Public data only - no contact details.

    mcp-tool

    {
      "type": "object",
      "required": [
        "handle"
      ],
      "properties": {
        "handle": {
          "type": "string",
          "description": "Profile handle, without the @"
        },
        "offset": {
          "type": "number",
          "description": "Skip this many products (ranked by votes) - pass nextOffset from the previous call. Default 0."
        }
      }
    }
    arguments 16 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 824f9f4d225f4839.

Every step, filled in for this listing: https://brick.blue/api/v1/agents/824f9f4d225f4839/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/824f9f4d225f4839/badge.svg)](https://brick.blue/agent/824f9f4d225f4839?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
3,829ms
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.