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US Government Data

Name: US Government Data
Author: CBLU2005

by CBLU2005

Overview Schema Source Related Servers Discussions Admin

TypeScript

Remote

us-govdata-mcp

米国政府データのためのMCPサーバー — Claude、Cursor、または任意のModel Context Protocolクライアントから、建築許可、連邦契約機会（SAM.gov）、および全国医療提供者レジストリ（NPI/NPPES）を検索できます。

CBLU2005/us-govdata-mcp MCPサーバー

ライセンス: MIT Node >= 18

3つのデータソースはすべて公式の政府刊行物（都市のオープンデータポータル、SAM.govの公開抽出、CMS NPPES API）です。HTMLスクレイピング、ログイン、脆弱なセレクターは不要です。重い処理は、あなた自身のApifyアカウントで実行される3つの本番用Apifyアクターが行います。

30秒で試す — アカウント不要、無料

これがAPIトークンに価値があるかどうかを判断する前に、トークンなしで実行してみてください：

{
  "mcpServers": {
    "us-govdata": {
      "command": "npx",
      "args": ["-y", "github:CBLU2005/us-govdata-mcp"],
      "env": { "APIFY_DRY_RUN": "1" }
    }
  }
}

これが全体のセットアップです。ドライランモードでは、すべてのツールが現実的なサンプルレコードと、送信されるはずだった正確なApify APIリクエストを返します。そのため、アカウントを作成したり、トークンを貼り付けたり、費用をかけたりすることなく、データの実際の形状を確認し、エージェントがツールを正しく呼び出していることを確認し、各ツールの説明にある価格開示を読むことができます。

エージェントに「今月オースティンで発行された50万ドル以上の建築許可を見つけて」などと依頼すると、ツール呼び出しがエンドツーエンドで実行されるのを確認できます。ライブデータが必要になったら、APIFY_DRY_RUN行を削除し、APIFY_TOKENを追加してください（下記参照）。

Related MCP server: PubRecords MCP

ツール

ツール	検索内容	一般的なフィルター	価格*
`search_building_permits`	10の公式都市/郡オープンデータソース（NYC、シカゴ、LA、オースティン、サンフランシスコ、ニューオーリンズ、バトンルージュ、モンゴメリー郡MD、ノーフォークVA）からの建築許可 — 許可タイプ、ステータス、評価額、請負業者名/ライセンス	都市、発行日範囲、許可タイプ、全文検索、最低評価額	$0.005 / レコード
`search_federal_contract_opportunities`	SAM.govからの連邦RFP、調達通知、調達予告、落札通知 — 契約担当官のメールと電話番号付き	キーワード、NAICS、通知タイプ、中小企業枠（8A、WOSB、HUBZone...）、省庁、州、日付	$0.004 / レコード
`search_healthcare_providers`	公式CMS NPIレジストリの800万人以上の米国医療提供者および医療機関 — 専門分野、ライセンス、診療所の電話/FAX、権限のある役員	専門分野、州、都市、郵便番号（ワイルドカード可）、提供者/組織名	$0.002 / レコード

* 正直な価格開示: これらのツールは、CBLUが公開する有料の従量課金制Apifyアクターを実行します。Apifyアカウントには、実際に返されたレコードに対してのみ課金されます。サブスクリプションや開始手数料はありません。すべてのツールはデフォルトで1回の呼び出しにつき25件の結果を返すため、通常の呼び出しのコストは1セント未満です（25件の許可 ≈ $0.13、25件の契約通知 ≈ $0.10、25件の提供者 ≈ $0.05）。Apifyの無料プランには毎月のプラットフォームクレジットが含まれており、これらのツールをカジュアルに無料で使用するのに十分です。完全な価格詳細が記載されたアクターページ：

クイックスタート

1. Apifyトークンを取得する（無料、約2分）

https://console.apify.com/sign-up にサインアップします（無料プランで動作します）。
https://console.apify.com/settings/integrations からAPIトークンをコピーします。

サーバーはトークンなしで起動し、ツールを一覧表示します。トークンはツールが実際に呼び出されるときにのみ必要です。

2. MCPクライアントにサーバーを追加する

Claude Desktop（claude_desktop_config.json → 設定 → 開発者 → 設定を編集）：

{
  "mcpServers": {
    "us-govdata": {
      "command": "npx",
      "args": ["-y", "github:CBLU2005/us-govdata-mcp"],
      "env": {
        "APIFY_TOKEN": "your_apify_token_here"
      }
    }
  }
}

Claude Code:

claude mcp add us-govdata -e APIFY_TOKEN=your_apify_token_here -- npx -y github:CBLU2005/us-govdata-mcp

Cursor / Windsurf / その他のMCPクライアント（Claude Desktopと同じ形式）：

{
  "mcpServers": {
    "us-govdata": {
      "command": "npx",
      "args": ["-y", "github:CBLU2005/us-govdata-mcp"],
      "env": { "APIFY_TOKEN": "your_apify_token_here" }
    }
  }
}

ローカルクローンから:

git clone https://github.com/CBLU2005/us-govdata-mcp.git
cd us-govdata-mcp
npm install && npm run build
# then point your client at: node /path/to/us-govdata-mcp/dist/index.js

Docker:

docker build -t us-govdata-mcp .
docker run -i --rm -e APIFY_TOKEN=your_apify_token_here us-govdata-mcp        # stdio
docker run --rm -p 3000:3000 -e APIFY_TOKEN=... us-govdata-mcp --http 3000    # Streamable HTTP

3. AIエージェントに次のようなことを依頼する

「今月オースティンで発行された、請負業者名を含む50万ドル以上の新築建築許可を見つけて。」
「応答期限が今日以降の、アクティブな中小企業向けサイバーセキュリティ調達通知はありますか？契約担当官のメールアドレスも含めて。」
「マイアミ大都市圏（郵便番号331）の歯科医を、診療所の電話番号とともにリストアップして。」*

トランスポート

stdio（デフォルト） — デスクトップMCPクライアントが使用：us-govdata-mcp
Streamable HTTP — ステートレスエンドポイント POST /mcp、ヘルスチェック GET /healthz： us-govdata-mcp --http 3000（または MCP_HTTP_PORT=3000 を設定）

環境変数

変数	必須	目的
`APIFY_TOKEN`	ツール呼び出し用	Apify APIトークン。サーバーの起動とツール一覧表示はトークンなしで動作します。ツール呼び出しは、トークンが設定されるまでセットアップガイドを返します。
`APIFY_DRY_RUN`	いいえ	`1` に設定すると、ネットワーク呼び出しや課金なしで、サンプルレコードを返します。レスポンスには、送信されるはずだった正確なApify APIリクエストが含まれます。テストやCIに便利です。
`MCP_HTTP_PORT`	いいえ	このポートでstdioの代わりにStreamable HTTPモードで起動します。

仕組み

各ツールは引数を検証し（zod）、アクター入力を構築し、Authorization: Bearer ヘッダー（URLには含まれません）を介してトークンを使用してApify APIのrun-sync-get-dataset-itemsエンドポイントを呼び出します。アクターはあなたのアカウントでApifyプラットフォーム上で実行され、結果のデータセットアイテムがツール結果として直接返されます。このサーバーは状態を保持せず、データを通過させる以外にデータを見ることはありません。

開発

npm install
npm test          # builds + runs the full smoke suite (introspection, tokenless
                  # error path, dry-run request construction, HTTP transport)

テストスイートはApifyアカウントもネットワークも不要です。APIFY_DRY_RUN=1 を使用します。

ライセンス

MIT © CBLU

Available Tools

3 tools

search_building_permitsSearch US building permitsA

Search recently issued US building permits from official city open-data portals (New York City, Chicago, Los Angeles, Austin, San Francisco, New Orleans, Baton Rouge, Montgomery County MD, Norfolk VA). Returns normalized permit records: permit number, type, work description, status, issue date, address, project valuation, and contractor name/license where published. Great for construction lead generation and market research. Runs the paid Apify actor https://apify.com/cblu/us-building-permits-scraper on YOUR Apify account (requires APIFY_TOKEN; pay per result: $0.005 per permit record ($5.00 / 1,000), charged only for records actually returned).

ParametersJSON Schema

Name	Required	Description
`cities`	No	Cities/counties to search. Use ["all"] or omit for every supported source. Each city is queried up to maxResultsPerCity.
`issuedAfter`	No	Only permits issued on/after this date (YYYY-MM-DD). Recommended — keeps results fresh and runs fast.
`searchQuery`	No	Full-text search across the source dataset, e.g. 'solar', 'pool', 'demolition', 'ADU'.
`issuedBefore`	No	Only permits issued on/before this date (YYYY-MM-DD).
`minValuation`	No	Only permits with declared project value >= this USD amount (permits without a published valuation are excluded when set).
`maxResultsPerCity`	No	Max permit records per selected city (1-2000, default 25). Each returned record is billed at $0.005 per permit record ($5.00 / 1,000).
`permitTypeContains`	No	Case-insensitive substring match on permit type / class / work type, e.g. 'electrical', 'roof', 'plumbing', 'new construction'.

TDQS

A4.3/5.0

Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations provided, so description carries full burden. It discloses the tool runs on the user's Apify account requiring APIFY_TOKEN, pay-per-result pricing, and returns normalized permit records. Lacks details on error handling or rate limits but is transparent about costs and external dependence.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

4-sentence description, well-structured: purpose, returned fields, use case, technical details and pricing. Front-loaded with core purpose. The last sentence is dense with pricing details but remains understandable. Efficient for the information conveyed.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Covers purpose, supported cities, return fields, cost model, and authentication requirement. Lacks explanation of error handling if APIFY_TOKEN missing, and output structure is not described (no output schema). For 7 optional parameters and paid actor, the main gaps are minor.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema already has descriptions for all 7 parameters (100% coverage). The description adds value by explaining the use case (lead generation) and cost implications (e.g., maxResultsPerCity billable). Also adds recommended usage hint for issuedAfter. Supplements schema with decision-relevant context.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool searches US building permits from specific cities, specifies normalized fields returned, and distinguishes from sibling tools which cover federal contracts and healthcare providers.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Provides context for construction lead generation and market research, and mentions the paid Apify actor with pricing. Does not explicitly state when not to use or compare to alternatives, but sibling tools are clearly different.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

search_federal_contract_opportunitiesSearch federal contract opportunities (SAM.gov)A

Search US federal contract opportunities (RFPs, solicitations, sources sought, award notices) from SAM.gov's official public data extract — including contracting-officer names, emails, and phone numbers. Filter by keyword, NAICS code, notice type, small-business set-aside, agency, place-of-performance state, and dates. Great for GovCon business development. Runs the paid Apify actor https://apify.com/cblu/sam-gov-contract-opportunities-scraper on YOUR Apify account (requires APIFY_TOKEN; pay per result: $0.004 per opportunity ($4.00 / 1,000), charged only for records actually returned).

ParametersJSON Schema

Name	Required	Description
`keyword`	No	Case-insensitive match against notice title, solicitation number, and description, e.g. 'janitorial', 'cybersecurity', 'drone'.
`popStates`	No	Two-letter place-of-performance state codes, e.g. ['TX', 'FL'].
`setAsides`	No	Small-business set-aside codes or label text, e.g. 'SBA' (total small business), '8A', 'WOSB', 'SDVOSBC', 'HZC' (HUBZone).
`activeOnly`	No	Only notices SAM.gov currently marks active (not archived). Set false for historical/award research.
`maxResults`	No	Max opportunities to return (1-5000, default 25). Each returned record is billed at $0.004 per opportunity ($4.00 / 1,000).
`naicsCodes`	No	NAICS industry codes; prefixes work, e.g. '541511' or just '54' for all professional services.
`noticeTypes`	No	Notice types (case-insensitive substring), e.g. 'Solicitation', 'Presolicitation', 'Sources Sought', 'Combined Synopsis', 'Award Notice'.
`postedAfter`	No	Only notices posted on/after this date (YYYY-MM-DD). Strongly recommended — makes runs much faster.
`postedBefore`	No	Only notices posted on/before this date (YYYY-MM-DD).
`agencyContains`	No	Case-insensitive substring match on department/sub-tier/office, e.g. 'VETERANS AFFAIRS', 'FOREST SERVICE', 'DEFENSE'.
`responseDueAfter`	No	Only notices whose response deadline is on/after this date — set to today for opportunities still open for bids.
`includeDescription`	No	Include the notice's full description text on every record.

TDQS

A4.2/5.0

Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries full burden. It discloses pricing ($0.004 per opportunity), that it runs on an Apify actor, and requires APIFY_TOKEN. This is good transparency, though it could mention error handling or rate limits.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single paragraph that is front-loaded with the tool's purpose. It is concise and contains no wasted words, though it could be slightly more structured with bullet points for readability.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema, the description should explain return values. It mentions some output fields (contracting-officer names, emails) but does not fully describe the structure of returned records. Given the tool's complexity (12 parameters), it is somewhat incomplete on outputs.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100% (all 12 parameters have descriptions). The tool description adds value beyond schema by explaining the pricing implication of maxResults and recommending postedAfter for performance. It does not introduce new parameters but enriches understanding.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool searches US federal contract opportunities from SAM.gov, listing specific notice types (RFPs, solicitations, etc.) and data included. It distinguishes itself from sibling tools (building permits, healthcare providers) by targeting federal contracts.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage for GovCon business development and lists filters but does not explicitly state when to use it over alternatives or when not to use it. It provides context but lacks direct exclusions or comparisons.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

search_healthcare_providersSearch US healthcare providers (NPI registry)A

Search the official CMS NPPES NPI Registry of all US healthcare providers and organizations. Returns NPI number, provider/organization name, specialty (taxonomy), state license, practice address with phone and fax, and for organizations the authorized official's name/title/phone. Filter by specialty, state, city, ZIP (wildcards like '331*'), or name. Great for healthcare sales lists, provider verification, and directory enrichment. Runs the paid Apify actor https://apify.com/cblu/npi-healthcare-providers-scraper on YOUR Apify account (requires APIFY_TOKEN; pay per result: $0.002 per provider record ($2.00 / 1,000), charged only for records actually returned).

ParametersJSON Schema

Name	Required	Description
`city`	No	Practice-location city, e.g. 'Austin'.
`state`	No	Two-letter US state code of the practice location, e.g. 'TX'.
`lastName`	No	Provider last name (individual lookups). Trailing wildcard supported.
`firstName`	No	Provider first name (individual lookups). Trailing wildcard supported, e.g. 'jo*'.
`maxResults`	No	Max provider records to return (1-5000, default 25). Each returned record is billed at $0.002 per provider record ($2.00 / 1,000).
`postalCode`	No	Practice-location ZIP. Prefix wildcards supported: '331*' matches all ZIPs starting 331 (greater Miami).
`enumerationType`	No	'individual' (NPI-1: physicians, dentists, nurses...) or 'organization' (NPI-2: clinics, hospitals, pharmacies...). Omit for both.
`organizationName`	No	Organization name (NPI-2 lookups). Trailing wildcard supported, e.g. 'mayo*'.
`taxonomyDescription`	No	Provider specialty / taxonomy, e.g. 'Dentist', 'Family Medicine', 'Chiropractor', 'Physical Therapist', 'Pharmacy'. Exact taxonomy codes also work.

TDQS

A4.3/5.0

Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations provided, so the description carries full burden. It discloses the tool runs a paid Apify actor on the user's account, requires APIFY_TOKEN, and explains billing ($0.002 per record). This covers safety and cost implications well.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is somewhat long but structured with key info upfront (what it is, what it returns, filters). Every sentence adds value: purpose, returned data, filters, use cases, and billing details. No redundancy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given 9 parameters, no output schema, and no annotations, the description provides sufficient context: it lists return fields, explains all filter parameters, and covers cost. It lacks only explicit mention of pagination or error handling, but overall it is quite complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% with descriptive parameter definitions. The description adds value by explaining wildcard usage (e.g., '331*', 'mayo*') and billing implications of maxResults. This enhances the agent's understanding beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states it searches the official CMS NPPES NPI Registry for US healthcare providers and organizations, listing returned fields and filter criteria. It distinguishes itself from sibling tools (building permits, federal contracts) by its specific domain.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides explicit use cases: 'healthcare sales lists, provider verification, and directory enrichment.' It does not specify when not to use this tool, but the clear purpose and unrelated siblings make this adequate.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

3 tool updatesv0.1.0Jul 12, 2026
- First observedsearch_building_permits
- First observedsearch_federal_contract_opportunities
- First observedsearch_healthcare_providers

Deploy Server

One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

TDQS

A4.3/5.0

Scored 2026-07-12 15:55 across 3 tools

Disambiguation5/5

Each tool targets a distinct and clearly separate domain: building permits, federal contract opportunities, and healthcare providers. There is no overlap in functionality or purpose.

Naming Consistency5/5

All three tools follow the same 'search_<domain>' naming pattern, making them predictable and easy to understand. The convention is consistent throughout.

Tool Count5/5

With only three tools, the set is small but well-scoped for the specific data sources it covers. Each tool serves a clear, valuable purpose without unnecessary bloat.

Completeness2/5

Despite the server name 'US Government Data' implying broad coverage, it only provides access to three narrow datasets (building permits from select cities, federal contracts, and healthcare providers). Many major government data categories are missing, such as census, federal spending, or regulations.

Maintenance

ActivityStale

ResponsivenessNo issues

Resources

GitHub Repository

Need Help?

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us-govdata-mcp

30秒で試す — アカウント不要、無料

ツール

クイックスタート

1. Apifyトークンを取得する（無料、約2分）

2. MCPクライアントにサーバーを追加する

3. AIエージェントに次のようなことを依頼する

トランスポート

環境変数

仕組み

開発

関連

ライセンス

Available Tools

TDQS

TDQS

TDQS

Tool Schema Changelog

TDQS

Maintenance

Resources

Related MCP Connectors

Related MCP Servers

DOL WHD MCP

PubRecords MCP

whetstone-mcpofficial

us-gov-data-mcp