_ registry / mcp streamable-http · checked 37m ago

minto-mcp

https://mcp.sukoon.money

Registry code: 436b43e89655e9c9

api record

Access 14,000+ Indian mutual fund schemes with NAV history, risk metrics, portfolio holdings, and fund comparison tools.

from a public catalogue that lists it, not from the operator

endpoint
https://mcp.sukoon.money/mcp
protocol
streamable-http ·2025-03-26
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
686ms

last good check

priced tools
0

of 28 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 28 tools
3 open 25 never probed 3 of 28 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.

  • list_amcs open 37m ago

    List all AMCs (Asset Management Companies) with fund count, sorted alphabetically.

    mcp-tool

    {
  "type": "object",
  "required": [],
  "properties": {}
}
    arguments 5 lines
  • get_nps_reference open 37m ago

    Get NPS reference datasets: aum, fees, contributions, exits, disclosures, snapshots, top holdings, or benchmark returns.

    mcp-tool

    {
  "type": "object",
  "required": [],
  "properties": {
    "type": {
      "enum": [
        "aum",
        "fees",
        "contributions",
        "exits",
        "disclosures",
        "snapshots",
        "top_holdings",
        "benchmark_returns",
        "portfolio_holdings",
        "portfolio_metrics"
      ],
      "type": "string",
      "default": "aum",
      "description": "Reference dataset to return"
    },
    "limit": {
      "type": "number",
      "default": 200,
      "description": "Max rows (default: 200, max: 500)"
    }
  }
}
    arguments 28 lines
  • list_categories open 37m ago

    List all SEBI mutual fund categories with fund count.

    mcp-tool

    {
  "type": "object",
  "required": [],
  "properties": {}
}
    arguments 5 lines
  • get_gift_nav_history unknown never probed

    Get USD NAV history for a GIFT City IFSC fund. Supports optional date range filtering.

    mcp-tool

    {
  "type": "object",
  "required": [
    "scheme_code"
  ],
  "properties": {
    "to": {
      "type": "string",
      "description": "End date in YYYY-MM-DD format (optional)"
    },
    "from": {
      "type": "string",
      "description": "Start date in YYYY-MM-DD format (optional)"
    },
    "scheme_code": {
      "type": "string",
      "description": "GIFT City fund code (e.g. GIFT-PP-NASDAQ)"
    }
  }
}
    arguments 20 lines
  • search_funds unknown never probed

    Search mutual funds by name keyword. Optionally filter by SEBI category or AMC.

    mcp-tool

    {
  "type": "object",
  "required": [
    "q"
  ],
  "properties": {
    "q": {
      "type": "string",
      "description": "Search query — fund name or partial name"
    },
    "amc": {
      "type": "string",
      "description": "Filter by AMC name (optional)"
    },
    "limit": {
      "type": "number",
      "default": 3,
      "description": "Max results to return (default: 3, max: 100)"
    },
    "category": {
      "type": "string",
      "description": "Filter by SEBI fund category (optional)"
    },
    "include_sif": {
      "type": "boolean",
      "default": false,
      "description": "Include SIF strategies in results (default: false)"
    }
  }
}
    arguments 30 lines
  • list_funds_in_category unknown never probed

    List all funds in a SEBI category, ranked by a chosen metric.

    mcp-tool

    {
  "type": "object",
  "required": [
    "category"
  ],
  "properties": {
    "limit": {
      "type": "number",
      "default": 20,
      "description": "Max results (default: 20, max: 100)"
    },
    "sort_by": {
      "enum": [
        "return_1y",
        "return_3y",
        "return_5y",
        "sharpe",
        "sortino",
        "max_drawdown",
        "alpha"
      ],
      "type": "string",
      "default": "return_1y",
      "description": "Metric to sort by (default: return_1y)"
    },
    "category": {
      "type": "string",
      "description": "Exact fund_type / SEBI category value"
    }
  }
}
    arguments 31 lines
  • get_fund unknown never probed

    Get full details for a fund: info, TER, minimum investment, launch date.

    mcp-tool

    {
  "type": "object",
  "required": [
    "scheme_code"
  ],
  "properties": {
    "scheme_code": {
      "type": "string",
      "description": "AMFI scheme code"
    }
  }
}
    arguments 12 lines
  • get_nav_history unknown never probed

    Get NAV history for a fund, optionally filtered by date range.

    mcp-tool

    {
  "type": "object",
  "required": [
    "scheme_code"
  ],
  "properties": {
    "to_date": {
      "type": "string",
      "description": "End date in YYYY-MM-DD format (optional)"
    },
    "from_date": {
      "type": "string",
      "description": "Start date in YYYY-MM-DD format (optional)"
    },
    "scheme_code": {
      "type": "string",
      "description": "AMFI scheme code"
    }
  }
}
    arguments 20 lines
  • get_latest_nav unknown never probed

    Get the latest NAV for a fund along with the 1-day change percentage.

    mcp-tool

    {
  "type": "object",
  "required": [
    "scheme_code"
  ],
  "properties": {
    "scheme_code": {
      "type": "string",
      "description": "AMFI scheme code"
    }
  }
}
    arguments 12 lines
  • get_trailing_returns unknown never probed

    Get trailing returns for 1W, 1M, 3M, 6M, 1Y, 3Y, 5Y periods as percentages.

    mcp-tool

    {
  "type": "object",
  "required": [
    "scheme_code"
  ],
  "properties": {
    "scheme_code": {
      "type": "string",
      "description": "AMFI scheme code"
    }
  }
}
    arguments 12 lines
  • get_metrics unknown never probed

    Get risk-adjusted metrics for a fund: Sharpe, Sortino, max drawdown, alpha, beta, information ratio, category rank percentile, and TER.

    mcp-tool

    {
  "type": "object",
  "required": [
    "scheme_code"
  ],
  "properties": {
    "scheme_code": {
      "type": "string",
      "description": "AMFI scheme code"
    }
  }
}
    arguments 12 lines
  • get_category_stats unknown never probed

    Get median and average for all metrics across all funds in a SEBI category.

    mcp-tool

    {
  "type": "object",
  "required": [
    "category"
  ],
  "properties": {
    "category": {
      "type": "string",
      "description": "SEBI fund category name"
    }
  }
}
    arguments 12 lines
  • compare_funds unknown never probed

    Compare 2–10 funds side-by-side on all key metrics.

    mcp-tool

    {
  "type": "object",
  "required": [
    "scheme_codes"
  ],
  "properties": {
    "scheme_codes": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "maxItems": 10,
      "minItems": 2,
      "description": "Array of AMFI scheme codes to compare (2–10)"
    }
  }
}
    arguments 17 lines
  • screen_funds unknown never probed

    Screen and filter funds using quantitative criteria. Returns a ranked list.

    mcp-tool

    {
  "type": "object",
  "required": [],
  "properties": {
    "limit": {
      "type": "number",
      "default": 20,
      "description": "Max results (default: 20, max: 50)"
    },
    "max_ter": {
      "type": "number",
      "description": "Maximum TER in % (optional)"
    },
    "category": {
      "type": "string",
      "description": "Filter by SEBI category (optional)"
    },
    "plan_type": {
      "enum": [
        "direct",
        "regular"
      ],
      "type": "string",
      "default": "direct",
      "description": "Plan type filter (default: direct)"
    },
    "min_sharpe": {
      "type": "number",
      "description": "Minimum Sharpe ratio (optional)"
    },
    "min_return_1y": {
      "type": "number",
      "description": "Minimum 1-year return in % (optional)"
    }
  }
}
    arguments 36 lines
  • get_holdings unknown never probed

    Get top holdings for a fund with percentage of NAV.

    mcp-tool

    {
  "type": "object",
  "required": [
    "scheme_code"
  ],
  "properties": {
    "limit": {
      "type": "number",
      "default": 10,
      "description": "Number of top holdings to return (default: 10, max: 50)"
    },
    "scheme_code": {
      "type": "string",
      "description": "AMFI scheme code"
    }
  }
}
    arguments 17 lines
  • find_funds_holding unknown never probed

    Find all funds that hold a specific stock (by name partial match or ISIN).

    mcp-tool

    {
  "type": "object",
  "required": [
    "identifier"
  ],
  "properties": {
    "limit": {
      "type": "number",
      "default": 20,
      "description": "Max funds to return (default: 20)"
    },
    "identifier": {
      "type": "string",
      "description": "Stock name (partial match) or ISIN"
    }
  }
}
    arguments 17 lines
  • get_debt_quants unknown never probed

    Get debt quantitative metrics for a fund: Macaulay Duration, Modified Duration, average maturity (years), and annualised YTM (%). Available for debt and hybrid funds from AMFI portfolio disclosures.

    mcp-tool

    {
  "type": "object",
  "required": [
    "scheme_code"
  ],
  "properties": {
    "scheme_code": {
      "type": "string",
      "description": "AMFI scheme code"
    }
  }
}
    arguments 12 lines
  • get_benchmark unknown never probed

    Get TRI (Total Return Index) series for a benchmark index. Available: NIFTY 50, NIFTY 100, NIFTY 500, NIFTY MIDCAP 150, NIFTY SMALLCAP 250, and others.

    mcp-tool

    {
  "type": "object",
  "required": [
    "index_name"
  ],
  "properties": {
    "to_date": {
      "type": "string",
      "description": "End date in YYYY-MM-DD format (optional)"
    },
    "from_date": {
      "type": "string",
      "description": "Start date in YYYY-MM-DD format (optional)"
    },
    "index_name": {
      "type": "string",
      "description": "Benchmark index name (e.g. \"NIFTY 50\", \"NIFTY MIDCAP 150\")"
    }
  }
}
    arguments 20 lines
  • list_sif_strategies unknown never probed

    List all 57 SIF (Specialised Investment Fund) strategies with AMC, category, and latest NAV.

    mcp-tool

    {
  "type": "object",
  "required": [],
  "properties": {}
}
    arguments 5 lines
  • get_sif_metrics unknown never probed

    Get performance metrics for a SIF strategy.

    mcp-tool

    {
  "type": "object",
  "required": [
    "scheme_code"
  ],
  "properties": {
    "scheme_code": {
      "type": "string",
      "description": "SIF scheme code in format SIF-XX (e.g. SIF-01)"
    }
  }
}
    arguments 12 lines
  • list_gift_funds unknown never probed

    List all GIFT City IFSC retail funds (USD-denominated offshore mutual funds available to NRIs and global investors). Returns fund metadata, TER, benchmark, and latest NAV.

    mcp-tool

    {
  "type": "object",
  "required": [],
  "properties": {}
}
    arguments 5 lines
  • get_gift_metrics unknown never probed

    Get USD-denominated performance metrics for a GIFT City IFSC fund. Returns trailing returns (1W/1M/3M/6M/1Y/3Y/5Y/10Y/YTD), Sharpe, Sortino, and max drawdown.

    mcp-tool

    {
  "type": "object",
  "required": [
    "scheme_code"
  ],
  "properties": {
    "scheme_code": {
      "type": "string",
      "description": "GIFT City fund code (e.g. GIFT-PP-NASDAQ, GIFT-PP-SP500, GIFT-EDEL-CHINA, GIFT-DSP-GLOBAL)"
    }
  }
}
    arguments 12 lines
  • search_nps_schemes unknown never probed

    Search or list National Pension System (NPS) schemes by scheme/PFM name, tier, plan, or PFM.

    mcp-tool

    {
  "type": "object",
  "required": [],
  "properties": {
    "q": {
      "type": "string",
      "description": "Search query (optional)"
    },
    "pfm": {
      "type": "string",
      "description": "Exact Pension Fund Manager name (optional)"
    },
    "plan": {
      "type": "string",
      "description": "Plan label filter, e.g. Equity, Central Government, Vatsalya (optional)"
    },
    "tier": {
      "type": "string",
      "description": "Tier I or Tier II filter (optional)"
    },
    "limit": {
      "type": "number",
      "default": 50,
      "description": "Max results (default: 50, max: 200)"
    }
  }
}
    arguments 27 lines
  • get_nps_scheme unknown never probed

    Get full details for an NPS scheme.

    mcp-tool

    {
  "type": "object",
  "required": [
    "scheme_code"
  ],
  "properties": {
    "scheme_code": {
      "type": "string",
      "description": "NPS scheme code, e.g. SM001001"
    }
  }
}
    arguments 12 lines
  • get_nps_metrics unknown never probed

    Get NPS trailing returns, risk metrics, benchmark assignment, and IMF for a scheme.

    mcp-tool

    {
  "type": "object",
  "required": [
    "scheme_code"
  ],
  "properties": {
    "scheme_code": {
      "type": "string",
      "description": "NPS scheme code, e.g. SM001001"
    }
  }
}
    arguments 12 lines
  • get_nps_nav_history unknown never probed

    Get NPS NAV history for a scheme, optionally filtered by date range.

    mcp-tool

    {
  "type": "object",
  "required": [
    "scheme_code"
  ],
  "properties": {
    "to_date": {
      "type": "string",
      "description": "End date in YYYY-MM-DD format (optional)"
    },
    "from_date": {
      "type": "string",
      "description": "Start date in YYYY-MM-DD format (optional)"
    },
    "scheme_code": {
      "type": "string",
      "description": "NPS scheme code, e.g. SM001001"
    }
  }
}
    arguments 20 lines
  • get_nps_holdings unknown never probed

    Get top holdings for an NPS scheme from the latest official NPS Trust scheme snapshot PDF.

    mcp-tool

    {
  "type": "object",
  "required": [
    "scheme_code"
  ],
  "properties": {
    "limit": {
      "type": "number",
      "default": 5,
      "description": "Max holdings (default: 5, max: 10)"
    },
    "scheme_code": {
      "type": "string",
      "description": "NPS scheme code, e.g. SM001008"
    }
  }
}
    arguments 17 lines
  • get_nps_portfolio unknown never probed

    Get parsed full monthly NPS portfolio holdings for a scheme where available. Current full-parser coverage is SBI Pension Funds.

    mcp-tool

    {
  "type": "object",
  "required": [
    "scheme_code"
  ],
  "properties": {
    "limit": {
      "type": "number",
      "default": 100,
      "description": "Max holdings (default: 100, max: 500)"
    },
    "asset_class": {
      "enum": [
        "equity",
        "debt",
        "government_security",
        "short_term_debt",
        "alternate_asset"
      ],
      "type": "string",
      "description": "Optional asset class filter"
    },
    "scheme_code": {
      "type": "string",
      "description": "NPS scheme code, e.g. SM001003"
    }
  }
}
    arguments 28 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

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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
100%

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
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median latency
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settled without a human
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0 USDC
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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.