Is the Kansei Link Kansei MCP server down?

mcp-registry/io.github.kansei-link/kansei-mcp-server · v1.2.4

Also listed as awesome/kansei-link/kansei-mcp-server

healthy
Last checked 2026-10-19 22:12 UTC · handshake 3.9s

As of 2026-10-19 22:12 UTC, the Kansei Link Kansei MCP server is up with a Glimind reliability score of 72/100 (grade C). Over the last 30 days it answered 99.7% of Glimind's liveness checks. It had 37 outages in 90 days, with a median recovery of 6 minutes.

uptime (30d checks)
99.7%
checks observed
3,879
outages (90d)
37
tools
5

SaaS intelligence for AI agents. 5 unified tools cover 1,000+ services with 91-96% token savings.

Install Kansei Link Kansei MCP server

Add to Cursor Add to VS Code

Claude Code

claude mcp add --transport http kansei-link-kansei-mcp-server https://kansei-link-mcp-production-b054.up.railway.app/mcp

Claude Desktop · Windsurf · Cline (mcpServers JSON)

{
  "mcpServers": {
    "kansei-link-kansei-mcp-server": {
      "type": "http",
      "url": "https://kansei-link-mcp-production-b054.up.railway.app/mcp"
    }
  }
}

Third-party server, listed as discovered. Review its source before installing.

Agent-readiness: B (84/100)

B (84/100): 0 error(s), 3 warning(s) across 3 tool(s); ~2,587 tokens of tool definitions.
Scores higher than 45% of 15,372 MCP servers Glimind has audited.
Its tool list costs an agent ~2,587 tokens per session — more than 50% of servers.
84 → 84 since 2026-10-17
no tool-poisoning patterns
Schemas73
Descriptions100
Safety hints100
Token cost73
Client compatibility70
Protocol100
Reliability70
Stability96

What to fix (5)

1 tool definition(s) exceed ~1,200 tokens each (largest: report, ~1,554).

Move long reference material out of descriptions (link a doc or expose a resource), drop repeated examples, and collapse large enums. Trimming these to ~600 tokens saves ~954 tokens every session. How to fix →

Tools: report · saves ~954 tokens/session

1 tool(s) have parameters with no type (no type/enum/anyOf/$ref).

Give every parameter a "type" (or "enum"/"anyOf"). Untyped parameters make models guess — strings for numbers, objects for arrays. How to fix →

Tools: report

Handshake + tools/list takes ~5,234 ms.

Serve tools/list from memory, keep the process warm, and host close to your users. Every new agent session pays this before its first call.

No tool declares an outputSchema.

Declare outputSchema and return structuredContent (MCP 2025-06-18+). Agents can then parse results without guessing, and chain tools reliably. How to fix →

In the last 30 days: 0 tool(s) removed and 1 schema change(s).

Add new tools or optional parameters instead of renaming or removing; deprecate first (say so in the description) and remove later. Agents cache tool contracts. How to fix →

Auto-fix: 1 corrected tool definition

Paste-ready definitions with the problems above fixed. Changes marked verify need a human look. All of them as JSON: /v1/readiness/mcp-registry%2Fio.github.kansei-link%2Fkansei-mcp-server/fixes

report 1 change
{
  "name": "report",
  "description": "Record what happened after using a service: success/failure outcome, feedback, API change events, or qualitative experience. Data is saved to this installation's LOCAL database only (improves local recovery hints and stats) — nothing is sent to KanseiLink unless you separately opt in to sharing. PII is auto-masked before storage. If the provider returned a request ID, including it as provider_request_id makes the record traceable in the provider's own logs. This is step 4 of the standard flow: s",
  "inputSchema": {
    "type": "object",
    "$schema": "http://json-schema.org/draft-07/schema#",
    "properties": {
      "body": {
        "type": "string",
        "description": "[feedback] Your feedback in detail. Write freely."
      },
      "mode": {
        "enum": [
          "outcome",
          "feedback",
          "event",
          "voice"
        ],
        "type": "string",
        "description": "Explicit mode selection. Auto-detected from params if omitted: success → outcome, question_id → voice, event_type → event, subject+body → feedback."
      },
      "title": {
        "type": "string",
        "description": "[event] Short event title (e.g., 'freee API v3 deprecation')."
      },
      "context": {
        "type": "string",
        "description": "[outcome] Additional context about the usage (PII will be auto-masked)."
      },
      "note_id": {
        "description": "[outcome] Field-note ID this report belongs to (format AWT-000). Stored as null if the format does not match.",
        "type": "string"
      },
      "subject": {
        "type": "string",
        "description": "[feedback] Short summary of your feedback (1 line)."
      },
      "success": {
        "type": "boolean",
        "description": "[outcome] Whether the operation succeeded."
      },
      "agent_id": {
        "type": "string",
        "description": "Your agent identifier (optional, for follow-up). Used in feedback and voice modes."
      },
      "cost_usd": {
        "type": "number",
        "description": "[outcome] Actual cost in USD (estimated from tokens if omitted)."
      },
      "is_retry": {
        "type": "boolean",
        "description": "[outcome] Whether this is a retry of a previously failed call."
      },
      "priority": {
        "type": "string",
        "description": "[feedback] How important: low, normal, high, critical. Default: normal."
      },
      "recipe_id": {
        "type": "string",
        "description": "[outcome] Recipe used for this attempt."
      },
      "task_type": {
        "type": "string",
        "description": "[outcome] Operation performed (e.g., 'create_invoice', 'search_contacts')."
      },
      "agent_type": {
        "type": "string",
        "description": "Agent platform type (claude, gpt, gemini, copilot, llama, deepseek, other). Used in outcome mode (auto-inferred from model_name if omitted) and voice mode."
      },
      "attempt_id": {
        "type": "string",
        "format": "uuid",
        "description": "[outcome] attempt_id returned by lookup."
      },
      "confidence": {
        "type": "string",
        "description": "[voice] How confident are you in this assessment? high, medium, low."
      },
      "error_type": {
        "type": "string",
        "description": "[outcome] Error category if failed (e.g., 'auth_error', 'timeout', 'rate_limit', 'schema_mismatch')."
      },
      "event_date": {
        "type": "string",
        "description": "[event] When the event occurred or takes effect (YYYY-MM-DD)."
      },
      "event_type": {
        "type": "string",
        "description": "[event] Category: api_change, api_deprecation, law_amendment, pricing_change, outage, security_incident, feature_launch, competitor_move, mcp_update, other."
      },
      "latency_ms": {
        "type": "number",
        "description": "[outcome] Response time in milliseconds."
      },
      "model_name": {
        "type": "string",
        "description": "[outcome] LLM model used (e.g., 'claude-sonnet-4', 'gpt-4o')."
      },
      "service_id": {
        "type": "string",
        "description": "Service ID. Required for outcome and voice modes. Optional for feedback and event."
      },
      "workaround": {
        "type": "string",
        "description": "[outcome] How you resolved the issue, if any. Helps future agents."
      },
      "description": {
        "type": "string",
        "description": "[event] Details about the event and expected impact."
      },
      "failed_step": {
        "type": "string",
        "maxLength": 200,
        "description": "[outcome] Step identifier where execution stopped."
      },
      "question_id": {
        "type": "string",
        "description": "[voice] Which question to answer: selection_criteria, would_recommend, biggest_frustration, best_feature, switching_likelihood, auth_experience, doc_quality, error_handling, compared_to_competitor, mcp_readiness, free_voice."
      },
      "input_tokens": {
        "type": "integer",
        "description": "[outcome] Input/prompt token count."
      },
      "feedback_type": {
        "type": "string",
        "description": "[feedback] Type of feedback: suggestion, missing_data, correction, feature_request, workaround_tip, bug_report, praise, other."
      },
      "output_tokens": {
        "type": "integer",
        "description": "[outcome] Output/completion token count."
      },
      "response_text": {
        "type": "string",
        "description": "[voice] Your honest answer in your own words."
      },
      "recipe_version": {
        "type": "integer",
        "description": "[outcome] Recipe version returned by lookup.",
        "exclusiveMinimum": 0
      },
      "estimated_users": {
        "type": "number",
        "description": "[outcome] Approximate number of end-users your agent serves."
      },
      "impact_expected": {
        "type": "string",
        "description": "[event] Expected impact: positive, negative, neutral, unknown."
      },
      "response_choice": {
        "type": "string",
        "description": "[voice] Quick rating where applicable (e.g., 'strongly_yes', 'excellent', 'ready')."
      },
      "provider_error_code": {
        "description": "[outcome] Provider's error code string (e.g. expired_access_token) or an RFC 9457 problem type URI (https://…, max 200 chars). Stored as null if the format does not match.",
        "type": "string"
      },
      "provider_request_id": {
        "description": "[outcome] Request or error ID the provider returned (e.g. from an x-request-id header). If present and well-formed, the record becomes traceable in the provider's own logs. Stored as null if the format does not match.",
        "type": "string"
      },
      "provider_request_id_source": {
        "description": "[outcome] Where the provider request ID came from: 'header:<name>' (e.g. header:x-request-id) or 'body:<field>' (e.g. body:id).",
        "type": "string"
      }
    },
    "additionalProperties": false
  },
  "annotations": {
    "readOnlyHint": false,
    "openWorldHint": false,
    "idempotentHint": false,
    "destructiveHint": false
  },
  "title": "Report"
}

Get alerted

Get an email or webhook when this server's readiness drops by 10+ points, tool-poisoning text appears, or a tool breaks:

curl -X POST https://glimind.com/v1/subscriptions -H 'content-type: application/json' -d '{"tools":["mcp-registry/io.github.kansei-link/kansei-mcp-server"],"email":"[email protected]"}'

Agents: watch_tool({"toolId": "mcp-registry/io.github.kansei-link/kansei-mcp-server"}) over MCP.

Passed

Largest tool definitions

Static checks of the advertised tools/list (schema, descriptions, annotations, tool-poisoning patterns, names, size) plus observed protocol, uptime, latency and contract changes. Read-only: no tool is ever called. Weights: schema 15, docs 20, safety 15, efficiency 15, compatibility 15, protocol 5, reliability 10, stability 5. Token counts are estimates (~3.6 characters per token).

Operator? Fix these, then re-check live. Embed the readiness badge:

Markdown
[![MCP agent-readiness](https://glimind.com/v1/readiness/badge/mcp-registry%2Fio.github.kansei-link%2Fkansei-mcp-server.svg)](https://glimind.com/server/mcp-registry%2Fio.github.kansei-link%2Fkansei-mcp-server?ref=badge)
HTML
<a href="https://glimind.com/server/mcp-registry%2Fio.github.kansei-link%2Fkansei-mcp-server?ref=badge"><img src="https://glimind.com/v1/readiness/badge/mcp-registry%2Fio.github.kansei-link%2Fkansei-mcp-server.svg" alt="MCP agent-readiness"></a>
reStructuredText
.. image:: https://glimind.com/v1/readiness/badge/mcp-registry%2Fio.github.kansei-link%2Fkansei-mcp-server.svg
   :target: https://glimind.com/server/mcp-registry%2Fio.github.kansei-link%2Fkansei-mcp-server?ref=badge
   :alt: MCP agent-readiness

Tool-definition log

Glimind records every version of this server's tool definitions in a signed, append-only transparency log. Current manifest sha256:c3d3aab692ebba85…, first seen 2026-10-17, included at leaf 1223 of 29,089. Version history · verify what your client received.

Tools (5)

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Add to Cursor Add to VS Code

Claude Code

claude mcp add --transport http glimind https://glimind.com/mcp

Claude Desktop · Windsurf · Cline (mcpServers JSON)

{
  "mcpServers": {
    "glimind": {
      "type": "http",
      "url": "https://glimind.com/mcp"
    }
  }
}

FAQ

Is the Kansei Link Kansei MCP server down right now?

As of 2026-10-19 22:12 UTC, the Kansei Link Kansei MCP server is up with a Glimind reliability score of 72/100 (grade C). Over the last 30 days it answered 99.7% of Glimind's liveness checks. It had 37 outages in 90 days, with a median recovery of 6 minutes.

How many tools does Kansei Link Kansei MCP server provide?

Kansei Link Kansei MCP server advertises 5 tools, including analyze, inspect, lookup, report, search_services.

How do I install Kansei Link Kansei MCP server?

Point your MCP client at this streamable-http endpoint: https://kansei-link-mcp-production-b054.up.railway.app/mcp

Is the Kansei Link Kansei MCP server safe to connect to an AI agent?

Glimind scanned all 3 tool definitions for tool-poisoning patterns — hidden or invisible characters, instructions that override the model, concealment from the user, requests to read credential or MCP config files, conversation exfiltration and cross-tool shadowing — and found none. This checks what the server tells the model, not what its code does; review the source before granting access to sensitive data.

Operator of Kansei Link Kansei MCP server?

Status page: 90-day uptime, every outage and how long it lasted.

Claim this listing to get the Verified operator marker, a remediation checklist and owner analytics, or embed the live badge from any of the tool pages above. Maintainers: alerts, deploy attestation and monthly reports.

Status is an automated estimate from Glimind's liveness checks (handshake and tool listing only; no tool is ever called) and may lag or differ from your network. Glimind is not affiliated with this server or its operator. Operator? Request a correction or opt out at https://glimind.com/opt-out.

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