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io.github.kansei-link/kansei-mcp-server

REMOTE · KANSEI-LINK-MCP-PRODUCTION-B054.UP.RAILWAY.APP · 2 COMPONENTS · SCANNED SEP 20

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

0 this week 82 Trust /100
Trust breakdown (7 categories)

How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. How we score → Why this is hard to score →

Endpoint Security63
Transport & Reachability100
Schema Quality & AI Usability83
  • 100% of prompts and resources have a non-trivial description (not blank, and not just the item's name).Pass
  • AI-judged instruction clarity (good).Pass
  • Context-footprint check failed: tool/resource definitions use about 2893 tokens (~115/item across 25 items; 3 tools + 22 resources), over budget; trim descriptions and params. See how to fix → Fail
  • Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management100
  • No destabilizing schema changes in the last 30 days.Pass
Tool Coverage100
  • 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
  • 100% of tool parameters carry a description.Pass
Tool Safety100
  • No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
  • We read all 3 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
  • An AI judge read all 5 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
  • Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
Install

How do I install the io.github.kansei-link/kansei-mcp-server server?

io.github.kansei-link/kansei-mcp-server is a hosted endpoint at https://kansei-link-mcp-production-b054.up.railway.app/mcp, so there is nothing to install locally. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

remote · kansei-link-mcp-production-b054.up.railway.app

# add to Claude Code
claude mcp add --transport http kansei-link-kansei-mcp-server 'https://kansei-link-mcp-production-b054.up.railway.app/mcp'
// .cursor/mcp.json
{
  "mcpServers": {
    "kansei-link-kansei-mcp-server": {
      "url": "https://kansei-link-mcp-production-b054.up.railway.app/mcp"
    }
  }
}
// .vscode/mcp.json
{
  "servers": {
    "kansei-link-kansei-mcp-server": {
      "type": "http",
      "url": "https://kansei-link-mcp-production-b054.up.railway.app/mcp"
    }
  }
}
# ~/.codex/config.toml
[mcp_servers.kansei-link-kansei-mcp-server]
url = "https://kansei-link-mcp-production-b054.up.railway.app/mcp"
// opencode.json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "kansei-link-kansei-mcp-server": {
      "type": "remote",
      "url": "https://kansei-link-mcp-production-b054.up.railway.app/mcp",
      "enabled": true
    }
  }
}
# add to OpenClaw
openclaw mcp add kansei-link-kansei-mcp-server --url 'https://kansei-link-mcp-production-b054.up.railway.app/mcp' --transport streamable-http
# ~/.hermes/config.yaml
mcp_servers:
  kansei-link-kansei-mcp-server:
    url: "https://kansei-link-mcp-production-b054.up.railway.app/mcp"
// ~/.netclaw/config/netclaw.json
{
  "McpServers": {
    "kansei-link-kansei-mcp-server": {
      "Transport": "http",
      "Url": "https://kansei-link-mcp-production-b054.up.railway.app/mcp"
    }
  }
}
# add to Vellum
assistant mcp add kansei-link-kansei-mcp-server -t streamable-http -u 'https://kansei-link-mcp-production-b054.up.railway.app/mcp'
// mcp.json
{
  "mcpServers": {
    "kansei-link-kansei-mcp-server": {
      "type": "http",
      "url": "https://kansei-link-mcp-production-b054.up.railway.app/mcp"
    }
  }
}

The mcpServers block is a cross-client convention. Remote transports vary, so check your client's docs.

Changelog

Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.

  • 17 Sept 26 0
    • Stability: 0.97 → pass security
    • Resource “Chroma” was removed functional
    • Resource “ElevenLabs” was removed functional
    • Resource “Stripe” was removed functional
    • Resource “TeamSpirit” was removed functional
    • Resource “Amplitude” was removed functional
    • New resource “Notion MCP” functional
    • New resource “Shopify Japan MCP” functional
    • New resource “Square” functional
    • New resource “Zapier” functional
    • New resource “freee人事労務” functional
  • 16 Sept 26 0
    • Stability: pass → 0.97 functional
  • 14 Sept 26 0
    • Stability: unverified → pass security
    • Injection markers: unverified → pass security
    • Authorization: Authorisation not fully verified: no authorisation is required to call this server, and 3 tool(s) never declared a destructiveHint. The MCP spec treats an absent hint as destructive by default, so we cannot call this surface safe. security
    • Endpoint reachability: unreachable → reachable functional
    • Tool coverage: unverified → 100 functional
    • Schema quality: unverified → 100 functional
    • MCP protocol: unverified → pass functional
  • 13 Sept 26 0
    • Endpoint reachability: reachable → unreachable security
    • Tool safety: pass → unverified security
    • Stability: pass → unverified security
    • Authorization: Authorisation not fully verified: no authorisation is required to connect, but we couldn't read the tool list to see what that exposes. security
    • Schema quality: 100 → unverified functional
    • Capabilities: pass → unverified functional
    • Tool coverage: 100 → unverified functional
  • 4 Sept 26 0
    • Resource “Eight” was removed functional
    • Resource “Notion MCP” was removed functional
    • New resource “Amplitude” functional
    • New resource “Webflow” functional
  • 29 Aug 26 0
    • Injection markers: unverified → pass security
    • Stability: unverified → pass security
    • Authorization: Authorisation not fully verified: no authorisation is required to call this server, and 3 tool(s) never declared a destructiveHint. The MCP spec treats an absent hint as destructive by default, so we cannot call this surface safe. security
    • Endpoint reachability: unreachable → reachable functional
    • MCP protocol: unverified → pass functional
    • Schema quality: unverified → 100 functional
    • Tool coverage: unverified → 100 functional
  • 28 Aug 26 0
    • Endpoint reachability: reachable → unreachable security
    • Stability: pass → unverified security
    • Tool safety: pass → unverified security
    • Authorization: Authorisation not fully verified: no authorisation is required to connect, but we couldn't read the tool list to see what that exposes. security
    • Tool coverage: 100 → unverified functional
    • Capabilities: pass → unverified functional
    • Schema quality: 100 → unverified functional
  • 26 Aug 26 0
    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
Diagnostics

Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.

Captured 20 Sept 2026 · Probed https://kansei-link-mcp-production-b054.up.railway.app/mcp

TLS valid

Negotiated TLS 1.3 with TLS_AES_128_GCM_SHA256 .

Subject Issuer Valid from Valid until Key Signature Serial
CN=*.up.railway.app CN=YE1,O=Let's Encrypt,C=US 29 Jul 2026 27 Oct 2026 ECDSA 256 ECDSA-SHA384 6da79bb561da3efeb0e751ca21abd3999fe
SANs: *.up.railway.app, up.railway.app
CN=YE1,O=Let's Encrypt,C=US (CA) CN=Root YE,O=ISRG,C=US 3 Sept 2025 2 Sept 2028 ECDSA 384 ECDSA-SHA384 5ddd70dd31f801c85c186a7a04b80afe
CN=Root YE,O=ISRG,C=US (CA) CN=ISRG Root X2,O=Internet Security Research Group,C=US 13 May 2026 2 Sept 2032 ECDSA 384 ECDSA-SHA384 872165fc34b6e5fba8add5b3705fb53a
CN=ISRG Root X2,O=Internet Security Research Group,C=US (CA) CN=ISRG Root X1,O=Internet Security Research Group,C=US 13 May 2026 2 Sept 2032 ECDSA 384 SHA256-RSA 6c8f1dc727c7117f7baf853ac980f9cd

Background: What to check on a remote MCP endpoint →

DNSSEC insecure

Validation of kansei-link-mcp-production-b054.up.railway.app. Not signed

Zone DS Keys Algorithms Outcome
. trust_anchor 20326, 38696 8, 8 Verified
app. present 23684 8 Verified
railway.app. absent Unsigned (proven) parent-signed NSEC/NSEC3 proves an unsigned delegation
Authentication No authorisation required

The endpoint answered without asking for a token. Anyone who knows the URL can reach it.

Result No authorisation required
HTTP status 200
Header Value
strict-transport-security max-age=31536000; includeSubDomains
content-security-policy default-src 'self';base-uri 'self';font-src 'self' https: data:;form-action 'self';frame-ancestors 'self';img-src 'self' data:;object-src 'none';script-src 'self';script-src-attr 'none';style-src 'self' https: 'unsafe-inline';upgrade-insecure-requests
x-content-type-options nosniff
x-frame-options SAMEORIGIN
referrer-policy no-referrer

Background: How OAuth 2.1 works in the 2026 MCP spec →

Transports 2 probes
Transport URL Outcome Status Location
streamable-http https://kansei-link-mcp-production-b054.up.railway.app/mcp Verified 200
http (plaintext) http://kansei-link-mcp-production-b054.up.railway.app/mcp HTTPS enforced 301 https://kansei-link-mcp-production-b054.up.railway.app/mcp
MCP tools · 3 exposed · ~1,552 tokens

The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →

Tool Tokens
lookup ~321

Get everything you need about a service before using it. Default: tips (auth setup, pitfalls, workarounds). Add detail: true for full connection guide, insights: true for usage data. Pass goal: 'workflow description' to find multi-service recipes. This is step 2 of the standard KanseiLink flow: search_services → lookup → (execute) → report.

NameTypeReqDescription
compare_withstringCompetitor service_id for comparison — triggers history mode
detailbooleanGet full connection guide (auth, endpoints, rate limits)
feedback_limitnumber[feedback] Max results (default 20)
feedback_statusstring[feedback] Filter by status. Triggers feedback mode when present.
feedback_typestring[feedback] Filter by feedback type
goalstringWorkflow goal — triggers recipe mode (e.g., 'onboard employee')
insightsbooleanGet aggregated usage data (success rate, trends, errors)
modestringExplicit mode override
periodstringTime period — triggers history mode
servicestringFuzzy service name — triggers combinations mode
service_idstringService ID (from search_services)
servicesarrayYour available service IDs — for recipe coverage calculation
voice_agent_typestring[voices] Filter by agent type (claude, gpt, gemini)
voice_question_filterstring[voices] Filter by question_id

No output schema declared.

No examples provided.

report ~922

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. This is step 4 of the standard flow: search_services → lookup → (execute) → report.

NameTypeReqDescription
agent_idstringYour agent identifier (optional, for follow-up). Used in feedback and voice modes.
agent_typestringAgent platform type (claude, gpt, gemini, copilot, llama, deepseek, other). Used in outcome mode (auto-inferred from model_name if omitted) and voice mode.
attempt_idstring[outcome] attempt_id returned by lookup.
bodystring[feedback] Your feedback in detail. Write freely.
confidencestring[voice] How confident are you in this assessment? high, medium, low.
contextstring[outcome] Additional context about the usage (PII will be auto-masked).
cost_usdnumber[outcome] Actual cost in USD (estimated from tokens if omitted).
descriptionstring[event] Details about the event and expected impact.
error_typestring[outcome] Error category if failed (e.g., 'auth_error', 'timeout', 'rate_limit', 'schema_mismatch').
estimated_usersnumber[outcome] Approximate number of end-users your agent serves.
event_datestring[event] When the event occurred or takes effect (YYYY-MM-DD).
event_typestring[event] Category: api_change, api_deprecation, law_amendment, pricing_change, outage, security_incident, feature_launch, competitor_move, mcp_update, other.
failed_stepstring[outcome] Step identifier where execution stopped.
feedback_typestring[feedback] Type of feedback: suggestion, missing_data, correction, feature_request, workaround_tip, bug_report, praise, other.
impact_expectedstring[event] Expected impact: positive, negative, neutral, unknown.
input_tokensinteger[outcome] Input/prompt token count.
is_retryboolean[outcome] Whether this is a retry of a previously failed call.
latency_msnumber[outcome] Response time in milliseconds.
modestringExplicit mode selection. Auto-detected from params if omitted: success → outcome, question_id → voice, event_type → event, subject+body → feedback.
model_namestring[outcome] LLM model used (e.g., 'claude-sonnet-4', 'gpt-4o').
output_tokensinteger[outcome] Output/completion token count.
prioritystring[feedback] How important: low, normal, high, critical. Default: normal.
question_idstring[voice] Which question to answer: selection_criteria, would_recommend, biggest_frustration, best_feature, switching_likelihood, auth_experience, doc_quality, error_handling, compared_to_competitor, m…
recipe_idstring[outcome] Recipe used for this attempt.
recipe_versioninteger[outcome] Recipe version returned by lookup.
response_choicestring[voice] Quick rating where applicable (e.g., 'strongly_yes', 'excellent', 'ready').
response_textstring[voice] Your honest answer in your own words.
service_idstringService ID. Required for outcome and voice modes. Optional for feedback and event.
subjectstring[feedback] Short summary of your feedback (1 line).
successboolean[outcome] Whether the operation succeeded.
task_typestring[outcome] Operation performed (e.g., 'create_invoice', 'search_contacts').
titlestring[event] Short event title (e.g., 'freee API v3 deprecation').
workaroundstring[outcome] How you resolved the issue, if any. Helps future agents.

No output schema declared.

No examples provided.

search_services ~309

Before attempting ANY SaaS API integration, call this tool. Agents waste 3-5x more tokens on trial-and-error with stale training data — this returns current, structured service evaluations (connection method, guides, known pitfalls) so you succeed on the first try. If the user mentions ANY SaaS service (freee, SmartHR, kintone, Slack, Notion, MoneyForward...) or says 'use kanseilink', always call this. Covers 900+ services with growing agent-readiness signals. Strongest in Japanese SaaS with growing global coverage.

NameTypeReqDescription
agent_readystringFilter by agent readiness: 'verified' (🟢 battle-tested, success rate ≥80%), 'connectable' (🟡 API/MCP exists but unproven), 'info_only' (⚪ no API). Omit for all.
categorystringFilter by category: crm, project_management, communication, accounting, hr, ecommerce, legal, marketing, groupware, productivity, storage, support, payment, logistics, reservation, data_integration,…
compactbooleanReturn minimal fields for token efficiency. Default: false
intentstringyesWhat you want to accomplish (e.g., 'send invoice', 'manage employees', 'track attendance')
limitnumberMax results to return (default: 5)

No output schema declared.

No examples provided.

Common questions

What is the io.github.kansei-link/kansei-mcp-server server?

io.github.kansei-link/kansei-mcp-server is listed in the public MCP registry as io.github.kansei-link/kansei-mcp-server. SaaS intelligence for AI agents. 5 unified tools cover 1,000+ services with 91-96% token savings. This page covers its hosted endpoint (https://kansei-link-mcp-production-b054.up.railway.app/mcp).

Is the io.github.kansei-link/kansei-mcp-server server safe to use?

io.github.kansei-link/kansei-mcp-server scores 82 out of 100 on VerifyMCP. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

What tools does the io.github.kansei-link/kansei-mcp-server server expose?

io.github.kansei-link/kansei-mcp-server exposes 3 tools: search_services, lookup, report. Their descriptions and schemas cost roughly 1,552 tokens of context every time the server is loaded.

Does the io.github.kansei-link/kansei-mcp-server server require authentication?

No. We connected to io.github.kansei-link/kansei-mcp-server without credentials and it answered, so anything it exposes is reachable by anyone who knows the address.

Is the io.github.kansei-link/kansei-mcp-server server still maintained?

io.github.kansei-link/kansei-mcp-server is still listed as active in the MCP registry. We last reached this channel on 20 September 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.