Agentery pricing intelligence · MCP server profile · January MCP Server
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January MCP Server

↗ docs.january.ai/docs/mcp-server official website

Hosted MCP server that lets Claude Code, Codex, VS Code, and other MCP clients use January's food, nutrition, food logging, restaurant, and glucose prediction…

MCP serverPricing checked daily
Agentery price verdictInsufficient peerscannot benchmark yet
Observed entry price$1/molowest observed monthly
Connection modelMCP serverMCP clients
Pricing observed28 Oct 2026latest priced read of the page
Website liveness28 Oct 2026alive · separate from pricing

What it does

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

January MCP Server

Hosted MCP server that lets Claude Code, Codex, VS Code, and other MCP clients use January's food, nutrition, food logging, restaurant, and glucose prediction…

MCP

Official January MCP Server links

Pricing & plans

Observed public pricing for January MCP Server, benchmarked against comparable providers. Plans, tiers, history and scenario below.

Pricing · observed daily
per call · market position

$1 /call

Observed plan · market position not comparable on a monthly basis.
this agent · $1
$8median —$89
pricing observed 2026-10-28 · page rechecked daily · source evidence retained
What should this agent charge?

This plan sits close to the comparable median.

pricing recommendation
$1
$8–$89
—

No monthly-comparable cohort to benchmark this plan against yet.

Pricing checks returned

Why Agentery reaches that view

price_benchmark

Not monthly-comparable.

get_provider_profile · plan history

per call observed 2026-10-28.

pricing recommendation

Percentile unavailable for this basis.

confidence

Source page rechecked daily.

Interactive provider scenario

Test a different price for this plan.

Move the proposed monthly price. Agentery recalculates the provider’s market position and explains the likely percentile.

$1 / month
$1 lowestmedian —$89 highest
Not comparable This plan's basis isn't monthly-comparable.
—
—
$8–$89

Is January MCP Server good value?

How its price compares with genuinely comparable providers.

Not enough peers

Not enough evidence yet to call it good — or poor — value.

Too few comparable providers at the same buyer tier and billing unit to benchmark this price honestly.

Observed commercial price$1/mo
Hosting model—
Price benchmarknot applicable
What to compare instead

Check capability before deciding

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

January MCP Server's local market

Nearest products by what they do — a different cohort from the buyer-tier benchmark above.

See the full market →
See the MCP response behind this page · get_provider_profile()
See the MCP response behind this pageget_provider_profile (get_agent_profile remains a callable alias)
{
  "agent_id": "january_mcp",
  "name": "January MCP Server",
  "url": "https://docs.january.ai/docs/mcp-server",
  "logo": "https://www.google.com/s2/favicons?domain=docs.january.ai&sz=128",
  "niche": null,
  "category": null,
  "short_summary": "Hosted MCP server that lets Claude Code, Codex, VS Code, and other MCP clients use January's food, nutrition, food logging, restaurant, and glucose prediction…",
  "task_performed": "unclear",
  "inputs_accepted": [],
  "outputs_produced": [],
  "integrations_available": [],
  "protocols_or_interfaces": [
    "MCP"
  ],
  "industry_fit": [],
  "autonomy_level": "unclear",
  "human_approval_needed": "unclear",
  "pricing_model": "unclear",
  "price": {
    "observed": true,
    "billing": "usage",
    "source_kind": "vendor",
    "currency": "USD",
    "lowest_monthly_usd": null,
    "monthly_usd": null,
    "headline": "$10 per call; $5 per call (usage-based)",
    "commercial": {
      "rates": [
        {
          "line": "Meal Scanning",
          "per": "per call",
          "text": "$10 per call"
        },
        {
          "line": "Natural Language Logging",
          "per": "per call",
          "text": "$5 per call"
        },
        {
          "line": "Edit Results with AI",
          "per": "per call",
          "text": "$5 per call"
        },
        {
          "line": "Food Search",
          "per": "per call",
          "text": "$2 per call"
        },
        {
          "line": "Barcode Scan",
          "per": "per call",
          "text": "$2 per call"
        },
        {
          "line": "Retrieve Food",
          "per": "per call",
          "text": "$1 per call"
        },
        {
          "line": "Healthy Food Alternatives",
          "per": "per call",
          "text": "$4 per call"
        },
        {
          "line": "Glucose Prediction",
          "per": "per call",
          "text": "$3 per call"
        },
        {
          "line": "Search Restaurant Name",
          "per": "per call",
          "text": "$2 per call"
        },
        {
          "line": "Search Restaurant Menu Item",
          "per": "per call",
          "text": "$2 per call"
        }
      ],
      "currency": "USD",
      "lines": [
        {
          "name": "Meal Scanning",
          "price": "10 credits per successful call",
          "kind": "usage_rate",
          "unit": "call",
          "billed": "usage"
        },
        {
          "name": "Natural Language Logging",
          "price": "5 credits per successful call",
          "kind": "usage_rate",
          "unit": "call",
          "billed": "usage"
        },
        {
          "name": "Edit Results with AI",
          "price": "5 credits per successful call",
          "kind": "usage_rate",
          "unit": "call",
          "billed": "usage"
        },
        {
          "name": "Food Search",
          "price": "2 credits per successful call",
          "kind": "usage_rate",
          "unit": "call",
          "billed": "usage"
        },
        {
          "name": "Food Search – Autocomplete",
          "price": "Free",
          "kind": "unknown"
        },
        {
          "name": "Barcode Scan",
          "price": "2 credits per successful call",
          "kind": "usage_rate",
          "unit": "call",
          "billed": "usage"
        },
        {
          "name": "Retrieve Food",
          "price": "1 credit per successful call",
          "kind": "usage_rate",
          "unit": "call",
          "billed": "usage"
        },
        {
          "name": "Healthy Food Alternatives",
          "price": "4 credits per successful call",
          "kind": "usage_rate",
          "unit": "call",
          "billed": "usage"
        },
        {
          "name": "Food Log Operations",
          "price": "Free",
          "kind": "unknown"
        },
        {
          "name": "Glucose Prediction",
          "price": "3 credits per successful call",
          "kind": "usage_rate",
          "unit": "call",
          "billed": "usage"
        },
        {
          "name": "Search Restaurant Name",
          "price": "2 credits per successful call",
          "kind": "usage_rate",
          "unit": "call",
          "billed": "usage"
        },
        {
          "name": "Search Restaurant Menu Item",
          "price": "2 credits per successful call",
          "kind": "usage_rate",
          "unit": "call",
          "billed": "usage"
        }
      ]
    },
    "summary": "$10 per call; $5 per call (usage-based). January publishes fixed per-successful-call API credit rates and free-call allowances, but no public monetary plan prices are shown.",
    "confidence": "high",
    "source_url": "https://docs.january.ai/rest-api/credits-and-pricing",
    "checked_at": "2026-10-28T02:11:41.690Z",
    "amount": null,
    "display": null,
    "plans": [
      {
        "name": "Meal Scanning",
        "price": "10 credits per successful call",
        "usage": true,
        "period": "usage",
        "persona": "individual",
        "highlights": [
          "POST /v1.2/food-analysis/image"
        ],
        "promo_note": null,
        "price_promo": null,
        "price_annual": null
      },
      {
        "name": "Natural Language Logging",
        "price": "5 credits per successful call",
        "usage": true,
        "period": "usage",
        "persona": "individual",
        "highlights": [
          "POST /v1.2/food-analysis/text"
        ],
        "promo_note": null,
        "price_promo": null,
        "price_annual": null
      },
      {
        "name": "Edit Results with AI",
        "price": "5 credits per successful call",
        "usage": true,
        "period": "usage",
        "persona": "individual",
        "highlights": [
          "POST /v1.2/food-analysis/corrections"
        ],
        "promo_note": "one free per successful meal scan",
        "price_promo": null,
        "price_annual": null
      },
      {
        "name": "Food Search",
        "price": "2 credits per successful call",
        "usage": true,
        "period": "usage",
        "persona": "individual",
        "highlights": [
          "GET /v1.2/foods"
        ],
        "promo_note": null,
        "price_promo": null,
        "price_annual": null
      },
      {
        "name": "Food Search – Autocomplete",
        "price": "Free",
        "usage": true,
        "period": "usage",
        "persona": "other",
        "highlights": [
          "GET /v1.2/foods/autocomplete"
        ],
        "promo_note": "up to your free-call allowance",
        "price_promo": null,
        "price_annual": null
      },
      {
        "name": "Barcode Scan",
        "price": "2 credits per successful call",
        "usage": true,
        "period": "usage",
        "persona": "individual",
        "highlights": [
          "GET /v1.2/foods/barcode/{barcode}"
        ],
        "promo_note": null,
        "price_promo": null,
        "price_annual": null
      },
      {
        "name": "Retrieve Food",
        "price": "1 credit per successful call",
        "usage": true,
        "period": "usage",
        "persona": "individual",
        "highlights": [
          "GET /v1.2/foods/{food_id}"
        ],
        "promo_note": null,
        "price_promo": null,
        "price_annual": null
      },
      {
        "name": "Healthy Food Alternatives",
        "price": "4 credits per successful call",
        "usage": true,
        "period": "usage",
        "persona": "individual",
        "highlights": [
          "POST /v1.2/foods/{food_id}/alternatives"
        ],
        "promo_note": null,
        "price_promo": null,
        "price_annual": null
      },
      {
        "name": "Food Log Operations",
        "price": "Free",
        "usage": true,
        "period": "usage",
        "persona": "other",
        "highlights": [
          "Create, list, get, update, and delete food logs"
        ],
        "promo_note": "up to your free-call allowance",
        "price_promo": null,
        "price_annual": null
      },
      {
        "name": "Glucose Prediction",
        "price": "3 credits per successful call",
        "usage": true,
        "period": "usage",
        "persona": "individual",
        "highlights": [
          "POST /v1.2/glucose/predictions"
        ],
        "promo_note": null,
        "price_promo": null,
        "price_annual": null
      },
      {
        "name": "Search Restaurant Name",
        "price": "2 credits per successful call",
        "usage": true,
        "period": "usage",
        "persona": "individual",
        "highlights": [
          "GET /v1.2/restaurants"
        ],
        "promo_note": null,
        "price_promo": null,
        "price_annual": null
      },
      {
        "name": "Search Restaurant Menu Item",
        "price": "2 credits per successful call",
        "usage": true,
        "period": "usage",
        "persona": "individual",
        "highlights": [
          "GET /v1.2/restaurants/{restaurant_id}/menu-items and GET /v1.2/menu-items"
        ],
        "promo_note": null,
        "price_promo": null,
        "price_annual": null
      }
    ],
    "source": "render+llm"
  },
  "trust_or_rating_signal": [],
  "evidence_quality": "unclear",
  "entity_type": "mcp_server",
  "regulated_data_suitability": "unclear",
  "evidence_urls": [
    "https://docs.january.ai/docs/mcp-server"
  ],
  "last_checked": "2026-10-28",
  "profile_checked": null,
  "price_checked": "2026-10-28",
  "how_to_connect": {
    "website": "https://docs.january.ai/docs/mcp-server",
    "docs": null,
    "mcp": null,
    "a2a": null,
    "api": null,
    "protocols": [
      "MCP"
    ],
    "install": null,
    "repository": null,
    "note": "Speaks MCP but publishes no endpoint we could verify — check the docs/website."
  },
  "deployment": {
    "model": "unknown",
    "both_offered": false,
    "hosted_endpoint": null,
    "install": null,
    "note": "No deployment evidence held — Agentery has no endpoint, install instruction or directory attribute for this listing.",
    "evidence": null
  },
  "licence": {
    "name": null,
    "note": "No named licence found in the retained page text or source attributes. A public repository alone does not establish an open-source licence.",
    "evidence": null
  },
  "evidence_checks": {
    "price": {
      "source_url": "https://docs.january.ai/rest-api/credits-and-pricing",
      "last_observed_day": "2026-10-27",
      "age_days": 1,
      "verified_day": "2026-10-27",
      "note": "verified = the page-text gate ran for that scan day (day-before/day-of text check)"
    },
    "agent_card": {
      "status": "unknown",
      "note": "no Agent Card URL recorded for this listing"
    },
    "endpoint": {
      "status": "unknown",
      "note": "endpoint not yet checked"
    }
  },
  "product_group": null,
  "liveness": {
    "probed": true,
    "alive": true,
    "endpoint_kind": "site",
    "latency_ms": 335,
    "uptime_7d": 1,
    "checked_at": "2026-10-28T02:38:29.110Z",
    "consecutive_failures": 0,
    "status": "alive"
  },
  "price_extras": {
    "free_tier": null,
    "unit_cost": null
  },
  "reported_success": null,
  "feedback": "If you actually use this provider, call report_outcome with the result. Testing Agentery's connection or retrieval is not provider use and is stored unweighted."
}