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MCP server profile · independently tracked by Agentery
Kagi Session2api logo

Kagi Session2api

github.com/KSroido/Kagi-Session2API-MCP official repository

Free MCP server providing Kagi search and summarizer access via session tokens. Works with Claude Desktop, Cursor, Windsurf, and any MCP-compatible AI agent.

MCP serverSource repositoryRepository checked daily
Agentery price verdictNo pricing observedsource repository
SourcePublic repositorylicence not verified
Connection modelMCP serverMCP clients
Last checked28 Jul 2026pricing & liveness

What it does

The specific capability behind this listing, and where to get it.

Kagi Session2api

Free MCP server providing Kagi search and summarizer access via session tokens. Works with Claude Desktop, Cursor, Windsurf, and any MCP-compatible AI agent.

Agentery has not yet captured structured capability detail for this provider.

Price status · observed daily

Source repository available · no commercial pricing observed.

No price does not imply the product is free. Any code-host platform pricing is excluded.

MCP

Is Kagi Session2api good value?

Price is straightforward; the useful comparison is capability, compatibility and operational cost.

Source repository

Source repository available · no commercial pricing observed.

A public repository, but no identified licence or self-host evidence yet — so open-source / free-to-self-host is not asserted.

Observed commercial pricenone
Hosting model
Price benchmarknot applicable
What to compare instead

Check capability before deciding

Compare language support, semantic depth, installation model against comparable providers — Agentery keeps the price status explicit and never invents a verdict.

View the full niche →

Comparable Web Search API

Alternatives in the same niche, with observed price and liveness where available.

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See the MCP response behind this page · get_agent_profile()
See the MCP response behind this pageget_agent_profile
{
  "agent_id": "kagi_session2api_mcp",
  "name": "Kagi Session2api",
  "url": "https://github.com/KSroido/Kagi-Session2API-MCP",
  "logo": "https://github.com/KSroido.png?size=200",
  "niche": "web-search-api",
  "category": "developer-tools-infra",
  "short_summary": "Free MCP server providing Kagi search and summarizer access via session tokens. Works with Claude Desktop, Cursor, Windsurf, and any MCP-compatible AI agent.",
  "task_performed": "unclear",
  "inputs_accepted": [],
  "outputs_produced": [],
  "integrations_available": [],
  "protocols_or_interfaces": [],
  "industry_fit": [],
  "autonomy_level": "unclear",
  "human_approval_needed": "unclear",
  "pricing_model": "unclear",
  "price": {
    "observed": true,
    "billing": "free",
    "currency": "USD",
    "lowest_monthly_usd": null,
    "monthly_usd": null,
    "headline": null,
    "summary": null,
    "confidence": "high",
    "source_url": "https://github.com/pricing",
    "checked_at": "2026-07-28T05:53:29.632Z",
    "amount": null,
    "display": null,
    "plans": [
      {
        "name": "Free",
        "price": "completely free",
        "period": null,
        "persona": "free",
        "highlights": [
          "Kagi search and summarizer access via session tokens",
          "No API key needed",
          "Compatible with MCP clients"
        ]
      }
    ],
    "source": "render+llm"
  },
  "trust_or_rating_signal": [],
  "evidence_quality": "unclear",
  "entity_type": "mcp_server",
  "regulated_data_suitability": "unclear",
  "evidence_urls": [
    "https://github.com/KSroido/Kagi-Session2API-MCP"
  ],
  "last_checked": null,
  "how_to_connect": {
    "website": "https://github.com/KSroido/Kagi-Session2API-MCP",
    "docs": null,
    "mcp": null,
    "a2a": null,
    "api": null,
    "protocols": []
  },
  "liveness": {
    "probed": true,
    "alive": true,
    "endpoint_kind": "site",
    "latency_ms": 574,
    "uptime_7d": 1,
    "checked_at": "2026-07-28T02:34:53.251Z",
    "consecutive_failures": 0,
    "status": "alive"
  },
  "price_extras": {
    "free_tier": null,
    "unit_cost": null
  },
  "reported_success": null,
  "feedback": "If you use this listing, call report_outcome afterwards — it sharpens rankings for everyone including you."
}