fundz

SEC-sourced funding rounds, acquisitions, exec moves, hiring and investor signals. 7 keyless tools.

我該用這個嗎

品質與安全性

A
說明品質
98%
結構描述完整度
82%
命名品質
98%
汙染風險
100%
權限相符程度
100%
協定合規性
100%

發現項目(1)

  • LOWTool 'get_contact_reveal_quota' description lacks action verb在 get_contact_reveal_quota 中

根據工具定義與協定合規性的自動化分析。

上下文成本

~4,698Token(工具定義)
~1.2 KB典型回應大小
顯著的注意力影響(128k 上下文的 3.67%)

這是每次將伺服器的工具載入模型上下文時所消耗的約略 token 數量。數量越高,可用於其他工作的注意力就越少。

安裝

一鍵安裝

將以下內容加入你的 `claude_desktop_config.json` 檔案:

{
  "mcpServers": {
    "fundz": {
      "url": "https://mcp-app.fundz.net"
    }
  }
}

遠端端點

https://mcp-app.fundz.netstreamable-http

它能做什麼

工具清單

工具(25)

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🟢get_daily_leads

Get your personalized daily lead recommendations based on your targeting preferences. Returns AI-scored companies that match your ideal customer profile.

輸入結構描述

{
  "type": "object",
  "properties": {},
  "required": []
}
🟢get_lead_detail(company)

Get the FULL scoring breakdown for one company in today's daily leads: match score and data confidence, buying stage, hiring and exec-hire forecasts, ML predictions with a timeframe, the key insights behind the score, the recommended play, and the suggested contacts. Use this whenever asked why a lead scored what it did, or for the same depth the Fundz lead inbox shows.

輸入結構描述

{
  "type": "object",
  "properties": {
    "company": {
      "type": "string",
      "description": "Company name or organization id from today's daily leads"
    }
  },
  "required": [
    "company"
  ]
}
🟢get_targeting_preferences

Get your current targeting preferences including industries, locations, company sizes, and buying signals you are tracking.

輸入結構描述

{
  "type": "object",
  "properties": {},
  "required": []
}
🔴update_targeting_preferences(ideal_customer_profile, industries, locations, employee_ranges, buying_signals, ...)

Update your targeting preferences using natural language. Describe your ideal customer (e.g., "B2B SaaS companies with 200-1000 employees in healthcare") and fundz will parse and update your filters. You can also specify industries, locations, employee sizes, and buying signals directly.

輸入結構描述

{
  "type": "object",
  "properties": {
    "ideal_customer_profile": {
      "type": "string",
      "description": "Natural language description of your ideal customer (e.g., \"enterprise software companies in healthcare with 500+ employees\")"
    },
    "industries": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "Specific industries to target (e.g., [\"Software\", \"Healthcare\", \"Finance\"])"
    },
    "locations": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "Target locations (e.g., [\"San Francisco\", \"New York\", \"United States\"])"
    },
    "employee_ranges": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "Employee size ranges: range1 (0-50), range2 (51-200), range3 (201-500), range4 (501-1000), range5 (1001-5000), range6 (5000+)"
    },
    "buying_signals": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "Events to track: funding, exec_hire, product_launch, website_change, contract, acquisition"
    },
    "request_instant_scoring": {
      "type": "boolean",
      "description": "If true, returns instant AI-scored leads matching the new preferences"
    }
  },
  "required": []
}
🟢search_funding_rounds(company_name, industry, location, keywords, series, ...)

Search funding rounds (the same feed as app.fundz.net/fundings). Filter by company name, industry, location (city/state/country), keywords, series, amount and date window — or run one of the user's saved filters by name. Filters are applied server-side, so the total_count is the filtered total.

輸入結構描述

{
  "type": "object",
  "properties": {
    "company_name": {
      "type": "string",
      "description": "Company name (partial, case-insensitive), e.g. \"Voxel\""
    },
    "industry": {
      "type": "string",
      "description": "Industry title as used in Fundz, e.g. \"Information Technology\", \"Financial Services\", \"Health Care\""
    },
    "location": {
      "type": "string",
      "description": "City, state/region or country title, e.g. \"Colorado\", \"United States\", \"Denver\", \"United Kingdom\""
    },
    "keywords": {
      "type": "string",
      "description": "Free-text keywords matched against the round's title and description, e.g. \"fintech\", \"artificial intelligence\""
    },
    "series": {
      "type": "string",
      "description": "Funding series (e.g., \"Seed\", \"Series A\", \"Series B\", \"Series C\")"
    },
    "min_money_raised": {
      "type": "number",
      "description": "Minimum amount raised (in dollars, e.g., 1000000 for $1M)"
    },
    "max_money_raised": {
      "type": "number",
      "description": "Maximum amount raised (in dollars)"
    },
    "days": {
      "type": "number",
      "description": "Number of days to look back (default 7)"
    },
    "saved_filter": {
      "type": "string",
      "description": "Name of one of the user's saved filters (see get_saved_filters); its criteria are applied and any explicit filters above are added on top"
    },
    "limit": {
      "type": "number",
      "description": "Maximum number of results (default 20, max 50)"
    }
  },
  "required": []
}
🟢search_executive_changes(keywords, industry, location, role_type, change_type, ...)

Find executive appointments and departures. Search by role (CEO, CTO, CFO, etc.), change type (Appointment/Departure), company name, and date range.

輸入結構描述

{
  "type": "object",
  "properties": {
    "keywords": {
      "type": "string",
      "description": "Free-text keywords matched against title/description (comma-separated for several)"
    },
    "industry": {
      "type": "string",
      "description": "Industry title, e.g. \"Information Technology\""
    },
    "location": {
      "type": "string",
      "description": "City, state or country title, e.g. \"Texas\""
    },
    "role_type": {
      "type": "string",
      "description": "Executive role (e.g., \"CEO\", \"CTO\", \"CFO\", \"CMO\", \"COO\", \"VP\")"
    },
    "change_type": {
      "type": "string",
      "description": "Type of change: \"Appointment\" or \"Departure\""
    },
    "company_name": {
      "type": "string",
      "description": "Filter by company name"
    },
    "executive_name": {
      "type": "string",
      "description": "Filter by executive name"
    },
    "days": {
      "type": "number",
      "description": "Number of days to look back (e.g., 7, 30, 60)"
    },
    "limit": {
      "type": "number",
      "description": "Maximum number of results (default: 20)"
    }
  },
  "required": []
}
🟢search_acquisitions(company_name, keywords, industry, location, min_deal_value, ...)

Search for acquisition events. Filter by deal value, acquirer name, target company, deal type, and date range.

輸入結構描述

{
  "type": "object",
  "properties": {
    "company_name": {
      "type": "string",
      "description": "Company name (partial match)"
    },
    "keywords": {
      "type": "string",
      "description": "Free-text keywords matched against title/description (comma-separated for several)"
    },
    "industry": {
      "type": "string",
      "description": "Industry title, e.g. \"Information Technology\""
    },
    "location": {
      "type": "string",
      "description": "City, state or country title, e.g. \"Texas\""
    },
    "min_deal_value": {
      "type": "number",
      "description": "Minimum deal value (in dollars, e.g., 50000000 for $50M)"
    },
    "max_deal_value": {
      "type": "number",
      "description": "Maximum deal value (in dollars)"
    },
    "acquirer_name": {
      "type": "string",
      "description": "Filter by acquiring company name"
    },
    "target_name": {
      "type": "string",
      "description": "Filter by target company name"
    },
    "days": {
      "type": "number",
      "description": "Number of days to look back (e.g., 7, 30, 60)"
    },
    "limit": {
      "type": "number",
      "description": "Maximum number of results (default: 20)"
    }
  },
  "required": []
}
🟢search_products(keywords, industry, location, launch_type, product_category, ...)

Find product launches and updates. Search by launch type (New Product, Major Update, Feature Release), category (Software, Hardware, Service), and company.

輸入結構描述

{
  "type": "object",
  "properties": {
    "keywords": {
      "type": "string",
      "description": "Free-text keywords matched against title/description (comma-separated for several)"
    },
    "industry": {
      "type": "string",
      "description": "Industry title, e.g. \"Information Technology\""
    },
    "location": {
      "type": "string",
      "description": "City, state or country title, e.g. \"Texas\""
    },
    "launch_type": {
      "type": "string",
      "description": "Type of launch: \"New Product\", \"Major Update\", or \"Feature Release\""
    },
    "product_category": {
      "type": "string",
      "description": "Product category: \"Software\", \"Hardware\", or \"Service\""
    },
    "company_name": {
      "type": "string",
      "description": "Filter by company name"
    },
    "days": {
      "type": "number",
      "description": "Number of days to look back (e.g., 7, 30, 60)"
    },
    "limit": {
      "type": "number",
      "description": "Maximum number of results (default: 20)"
    }
  },
  "required": []
}
🟢search_agreements(keywords, industry, location, agreement_type, company_name, ...)

Search for partnership agreements and strategic alliances. Filter by agreement type, company names, and date range.

輸入結構描述

{
  "type": "object",
  "properties": {
    "keywords": {
      "type": "string",
      "description": "Free-text keywords matched against title/description (comma-separated for several)"
    },
    "industry": {
      "type": "string",
      "description": "Industry title, e.g. \"Information Technology\""
    },
    "location": {
      "type": "string",
      "description": "City, state or country title, e.g. \"Texas\""
    },
    "agreement_type": {
      "type": "string",
      "description": "Type of agreement (e.g., \"Partnership\", \"Strategic Alliance\", \"Joint Venture\")"
    },
    "company_name": {
      "type": "string",
      "description": "Filter by company name"
    },
    "partner_name": {
      "type": "string",
      "description": "Filter by partner company name"
    },
    "days": {
      "type": "number",
      "description": "Number of days to look back (e.g., 7, 30, 60)"
    },
    "limit": {
      "type": "number",
      "description": "Maximum number of results (default: 20)"
    }
  },
  "required": []
}
🟢search_crowdfunding(company_name, keywords, industry, location, min_offering_amount, ...)

Find crowdfunding campaigns. Search by offering amount, deadline, offered types (Common Stock, etc.), and portal.

輸入結構描述

{
  "type": "object",
  "properties": {
    "company_name": {
      "type": "string",
      "description": "Company name (partial match)"
    },
    "keywords": {
      "type": "string",
      "description": "Free-text keywords matched against title/description (comma-separated for several)"
    },
    "industry": {
      "type": "string",
      "description": "Industry title, e.g. \"Information Technology\""
    },
    "location": {
      "type": "string",
      "description": "City, state or country title, e.g. \"Texas\""
    },
    "min_offering_amount": {
      "type": "number",
      "description": "Minimum offering amount (in dollars)"
    },
    "max_offering_amount": {
      "type": "number",
      "description": "Maximum offering amount (in dollars)"
    },
    "offered_types": {
      "type": "string",
      "description": "Type of security offered (e.g., \"Common Stock\")"
    },
    "days": {
      "type": "number",
      "description": "Number of days to look back (e.g., 7, 30, 60)"
    },
    "limit": {
      "type": "number",
      "description": "Maximum number of results (default: 20)"
    }
  },
  "required": []
}
🟢get_saved_filters

List the saved filters (saved searches) the user created in the Fundz web app — name, what it filters on (series, investors, locations, industries, amount, company size, keywords). Use a saved filter's name as the `saved_filter` argument of search_funding_rounds to run that exact search. Requires signing in (not available with a plain API key).

輸入結構描述

{
  "type": "object",
  "properties": {},
  "required": []
}
🟢get_watchlist_changes

Get recent changes detected on websites you are monitoring with FundzWatch. Shows updates, new content, pricing changes, and other modifications.

輸入結構描述

{
  "type": "object",
  "properties": {},
  "required": []
}
⚪toggle_email_notifications(enabled, delivery_time)

Enable or disable daily email notifications for your leads and updates.

輸入結構描述

{
  "type": "object",
  "properties": {
    "enabled": {
      "type": "boolean",
      "description": "True to enable emails, false to disable"
    },
    "delivery_time": {
      "type": "string",
      "description": "Time to receive emails: 9am, 12pm, or 6pm"
    }
  },
  "required": [
    "enabled"
  ]
}
🟢search_investors(query, limit)

Find investors by name across 37,000+ firms and angels that have actually written cheques in the Fundz deal data. Returns ids to pass to get_investor_profile.

輸入結構描述

{
  "type": "object",
  "properties": {
    "query": {
      "type": "string",
      "description": "Investor or firm name, partial is fine, e.g. \"sequoia\", \"a16z\""
    },
    "limit": {
      "type": "number",
      "description": "Maximum results (default 10, max 25)"
    }
  },
  "required": [
    "query"
  ]
}
🟢get_investor_profile(investor_id)

An investor firm's deal record AND how a founder actually gets in: total deals, deals in the last 90 days, companies backed, median round size, stage mix, first and last cheque, plus the firm's real intake route (warm intro only, open application, scout programme) with the source. Use this for "should we approach them and how".

輸入結構描述

{
  "type": "object",
  "properties": {
    "investor_id": {
      "type": "number",
      "description": "Investor id from search_investors"
    }
  },
  "required": [
    "investor_id"
  ]
}
🟢search_major_events(company_name, category, days, limit)

Material corporate events drawn from SEC filings, each with a plain-English description and a category (leadership, M&A, financial, restructuring and so on). Broader than search_sec_filings: use this to scan for what materially happened, and search_sec_filings when the user wants the filings themselves.

輸入結構描述

{
  "type": "object",
  "properties": {
    "company_name": {
      "type": "string",
      "description": "Company name (partial, case-insensitive)"
    },
    "category": {
      "type": "string",
      "description": "Event category to filter on, e.g. \"leadership\", \"M&A\""
    },
    "days": {
      "type": "number",
      "description": "Days to look back (default 7)"
    },
    "limit": {
      "type": "number",
      "description": "Maximum results (default 20, max 50)"
    }
  },
  "required": []
}
🟢search_fund_formations(company_name, min_amount, limit)

New investment funds raising capital, from SEC Form D filings: fund name, target or raised amount and the filing. Use this for "who is raising a fund", LP and allocator work, or to catch a firm standing up a new vehicle before it is announced.

輸入結構描述

{
  "type": "object",
  "properties": {
    "company_name": {
      "type": "string",
      "description": "Fund or firm name (partial, case-insensitive)"
    },
    "min_amount": {
      "type": "number",
      "description": "Minimum amount in dollars, e.g. 50000000 for $50M"
    },
    "limit": {
      "type": "number",
      "description": "Maximum results (default 20, max 50)"
    }
  },
  "required": []
}
🟡add_to_watchlist(company)

Save a company to the user's Fundz watchlist (favorites), so it shows up in their app and alerts. Reversible and free. Takes the company id or slug from any search result.

輸入結構描述

{
  "type": "object",
  "properties": {
    "company": {
      "type": "string",
      "description": "Company id or slug to save"
    }
  },
  "required": [
    "company"
  ]
}
🔴remove_from_watchlist(company)

Remove a company from the user's Fundz watchlist (favorites).

輸入結構描述

{
  "type": "object",
  "properties": {
    "company": {
      "type": "string",
      "description": "Company id or slug to remove"
    }
  },
  "required": [
    "company"
  ]
}
🟢get_market_gift(company, lookback_days)

Recent activity among companies adjacent to the one given: who raised, hired, won a contract, filed or expanded in their market. Returns dated events with the shared market themes they were matched on, for opening outreach with a market update rather than a pitch. Costs one call from the daily API quota, and returns few or no rows when little has happened.

輸入結構描述

{
  "type": "object",
  "properties": {
    "company": {
      "type": "string",
      "description": "Company id or slug of the RECIPIENT, i.e. who you are writing to"
    },
    "lookback_days": {
      "type": "number",
      "description": "How far back to look for market movement (default 90)"
    }
  },
  "required": [
    "company"
  ]
}
🟢get_company_profile(company)

Everything Fundz holds on one company in a single call: firmographics plus every signal fused together (funding rounds with investors, executive moves, acquisitions, partnerships, product launches, SEC filings) and, on Strategic, the alt-data layer of office expansions and USPTO trademarks. Takes the company id or slug from any search result. Use this when the user asks about a specific company rather than for a list.

輸入結構描述

{
  "type": "object",
  "properties": {
    "company": {
      "type": "string",
      "description": "Company id or slug, e.g. \"overfuel\" (search results include this)"
    }
  },
  "required": [
    "company"
  ]
}
🟢search_sec_filings(company_name, days, limit)

Recent SEC 8-K filings with a plain-English AI summary of what actually happened: leadership changes, material agreements, results, restructuring. Use this for "what did company X just file" or to scan a window for material events. Public companies only.

輸入結構描述

{
  "type": "object",
  "properties": {
    "company_name": {
      "type": "string",
      "description": "Company name (partial, case-insensitive)"
    },
    "days": {
      "type": "number",
      "description": "Days to look back (default 7)"
    },
    "limit": {
      "type": "number",
      "description": "Maximum filings to return (default 10, max 50)"
    }
  },
  "required": []
}
🟢get_company_contacts(company, with_email_only)

Get the people Fundz already holds for one company: name, role, department and email where we have it. Takes the company id or slug returned by search_funding_rounds and the other feeds. Reading these costs nothing. If a contact has no email yet, reveal_contacts can fetch one.

輸入結構描述

{
  "type": "object",
  "properties": {
    "company": {
      "type": "string",
      "description": "Company id or slug, e.g. \"overfuel\" or \"181403\" (search results include this)"
    },
    "with_email_only": {
      "type": "boolean",
      "description": "Return only contacts that already have an email address"
    }
  },
  "required": [
    "company"
  ]
}
🟢reveal_contacts(company, include_mobile)

Spend one of the user's monthly contact reveals to find and verify decision-maker emails at a company, matched to the titles they sell to. Use this when get_company_contacts returns nobody, or nobody with an email. Charges the monthly allowance (Strategic 600, Pro 150); tells the user what is left and how to upgrade when it runs out.

輸入結構描述

{
  "type": "object",
  "properties": {
    "company": {
      "type": "string",
      "description": "Company id or slug to reveal contacts at"
    },
    "include_mobile": {
      "type": "boolean",
      "description": "Also attempt a mobile number. Costs considerably more than an email, so only when the user asks for a phone number."
    }
  },
  "required": [
    "company"
  ]
}
🟢get_contact_reveal_quota

How many contact reveals the user has left this month, their monthly cap, and the upgrade link if they are out.

輸入結構描述

{
  "type": "object",
  "properties": {},
  "required": []
}

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