_ registry / mcp streamable-http · checked 34m ago

feedback-synthesis-mcp

https://feedback-synthesis-mcp-production.up.railway.app

Registry code: d01cc1ee41e8b8bf

api record

Customer feedback intelligence for developers and AI agents. 4 tools: synthesize_feedback ($0.05), get_pain_points ($0.02), search_feedback ($0.01), get_sentiment_trends ($0.03). x402 payment required (USDC on Base mainnet).

endpoint
https://feedback-synthesis-mcp-production.up.railway.app/mcp
protocol
streamable-http ·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
127ms

last good check

priced tools
0

of 4 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 4 tools
4 never probed 0 of 4 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.

  • synthesize_feedback unknown never probed

    Multi-source feedback synthesis into ranked pain clusters.

    mcp-tool

    {
      "type": "object",
      "required": [
        "sources"
      ],
      "properties": {
        "focus": {
          "type": "string",
          "default": "",
          "description": "Optional focus area to prioritize (e.g. \"performance\", \"onboarding\")."
        },
        "since": {
          "type": "string",
          "default": "",
          "description": "Only include feedback after this date (ISO 8601, e.g. \"2025-01-01\")."
        },
        "sources": {
          "type": "array",
          "items": {
            "type": "object",
            "additionalProperties": true
          },
          "description": "List of source configs. Each must have \"type\" (github_issues, hackernews, appstore) and \"target\" (e.g. \"owner/repo\", \"product name\", app ID)."
        },
        "max_items_per_source": {
          "type": "integer",
          "default": 100,
          "description": "Max feedback items per source (default 100)."
        }
      },
      "additionalProperties": false
    }
    arguments 32 lines
  • get_pain_points unknown never probed

    Quick single-source pain point extraction.

    mcp-tool

    {
      "type": "object",
      "required": [
        "source"
      ],
      "properties": {
        "top_n": {
          "type": "integer",
          "default": 10,
          "description": "Number of top pain points to return (default 10)."
        },
        "source": {
          "type": "object",
          "description": "Source config with \"type\" (github_issues, hackernews, appstore) and \"target\".",
          "additionalProperties": true
        },
        "max_items": {
          "type": "integer",
          "default": 50,
          "description": "Max feedback items to analyze (default 50)."
        }
      },
      "additionalProperties": false
    }
    arguments 24 lines
  • search_feedback unknown never probed

    Full-text search across cached feedback items.

    mcp-tool

    {
      "type": "object",
      "required": [
        "query"
      ],
      "properties": {
        "limit": {
          "type": "integer",
          "default": 20,
          "description": "Max results to return (default 20)."
        },
        "query": {
          "type": "string",
          "description": "Search query string."
        },
        "since": {
          "type": "string",
          "default": "",
          "description": "Only include items after this date (ISO 8601, e.g. \"2025-01-01\")."
        },
        "source": {
          "anyOf": [
            {
              "type": "string"
            },
            {
              "type": "null"
            }
          ],
          "default": null,
          "description": "Singular alias for sources — accepts a single source type string.\nIf both source and sources are provided, sources takes precedence."
        },
        "target": {
          "type": "string",
          "default": "",
          "description": "Optional target filter (e.g. \"owner/repo\" or app ID)."
        },
        "sources": {
          "anyOf": [
            {
              "type": "array",
              "items": {
                "type": "string"
              }
            },
            {
              "type": "null"
            }
          ],
          "default": null,
          "description": "Optional list of source types to filter (e.g. [\"github_issues\"], [\"github\"]).\nAccepted values: github_issues (or \"github\"), hackernews, appstore."
        }
      },
      "additionalProperties": false
    }
    arguments 55 lines
  • get_sentiment_trends unknown never probed

    Time-series sentiment analysis across feedback sources.

    mcp-tool

    {
      "type": "object",
      "required": [
        "sources"
      ],
      "properties": {
        "since": {
          "type": "string",
          "default": "",
          "description": "Only include feedback after this date (ISO 8601)."
        },
        "sources": {
          "type": "array",
          "items": {
            "type": "object",
            "additionalProperties": true
          },
          "description": "List of source configs. Each must have \"type\" and \"target\"."
        },
        "granularity": {
          "type": "string",
          "default": "weekly",
          "description": "Time granularity — \"weekly\" or \"monthly\" (default \"weekly\")."
        }
      },
      "additionalProperties": false
    }
    arguments 27 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/d01cc1ee41e8b8bf/badge.svg)](https://brick.blue/agent/d01cc1ee41e8b8bf)

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
80%

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.