Local Intel

できること

このサーバーのやさしい解説はまだ書いていません。以下はレジストリから読み取った事実です。

• 接続方法: クラウドで動く
• トランスポート: Streamable HTTP, SSE
• カテゴリ: その他

インストール

使っているAIアプリを選んで、設定をコピーしてください。

チェック 3/3 合格 · 質問内容は提供元のサーバー（gsb-swarm-production.up.railway.app）を通ります

claude mcp add --transport http local-intel https://gsb-swarm-production.up.railway.app/api/local-intel/mcp

{
  "mcpServers": {
    "local-intel": {
      "url": "https://gsb-swarm-production.up.railway.app/api/local-intel/mcp"
    }
  }
}

{
  "servers": {
    "local-intel": {
      "type": "http",
      "url": "https://gsb-swarm-production.up.railway.app/api/local-intel/mcp"
    }
  }
}

使えるアプリ

このサーバーのつなぎ方と、各アプリの公式ドキュメントに基づきます。2026年11月10日に確認。

インターネット経由でつなげるアプリ

ClaudeChatGPTGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatOpen WebUIRaycast

すべてのアプリと長所・短所 →

できること

ツールの名前と説明は、サーバーが2026年11月10日に返したそのままの内容です。書いたのは作者で、私たちではありません。プレーンテキストとして表示しています。

• local_intel_query

  START HERE. Natural language entry point for both market intelligence AND business routing. Ask about a market, find a business, or route a customer request. Auto-detects ZIP, industry vertical, and intent. For customer agents: "Find a restaurant in 32082 that serves lunch" or "W

• local_intel_context

  Full spatial context block for any FL zip or lat/lon. Returns anchor business, nearby businesses in distance rings, zone intelligence, and category breakdown. Best first call for any location query. Covers all 1,473 FL ZIPs via fl_zip_geo.

• local_intel_search

  Search businesses by name, category, or semantic group (food, retail, health, finance, civic, services).

• local_intel_nearby

  Find businesses within a radius of any lat/lon point, sorted by distance with compass bearing.

• local_intel_zone

  Spending zone and demographic data for a ZIP code: population, income, home value, rent, ownership rate, zone score. Pass zip or lat/lon.

• local_intel_corridor

  Businesses along a named street corridor. Use for queries like "what is on A1A" or "businesses on Palm Valley Road".

• local_intel_changes

  Recently added or owner-verified business listings. Use to detect new openings or data updates.

• local_intel_stats

  Dataset coverage stats: total businesses, confidence scores, query volume, revenue earned.

• local_intel_tide

  Tidal reading for a ZIP — temperature (0-100), direction (surging/heating/stable/cooling/receding), seasonal context. Synthesizes all 4 data layers. Best for agents deciding WHERE to act next.

• local_intel_signal

  Investment and activity signal for a ZIP. Composite score 0-100 with band (strong_buy/accumulate/hold/reduce/avoid), top reasons, and avoid flags. Best for real estate and financial agents.

• local_intel_bedrock

  Infrastructure momentum score and active leading indicators for a ZIP from Layer 0. Permits, road projects, flood zones, utility extensions. Predicts conditions 12-36 months ahead. 'Let Google pay for the satellites — we sell the weather forecast.'

• local_intel_for_agent

  PREMIUM composite entry point ($0.05). Declare your agent_type and intent, receive pre-ranked top-10 signals assembled from all 4 data layers, personalized for your use case. Includes delta since your last query if agent_id provided. Best first call for any new agent.

• local_intel_oracle

  Pre-baked economic oracle for a ZIP. Returns: restaurant saturation (is there room for another?), price-tier gap analysis (what menu price is missing?), growth trajectory (growing/empty-nest/stable), and 3 pre-formed questions with answers baked in. No LLM needed — answers derive

• local_intel_sector_gap

  Ranked sector gap analysis for a ZIP. Identifies NAICS sectors present at county level (CBP/CES employment) but underrepresented at ZIP (OSM business counts) — the structural whitespace in a local economy. Returns ranked opportunities with: NAICS code, sector label, county employ

• local_intel_realtor

  Real estate intelligence for a ZIP. Ask natural-language questions: demographics, commercial gaps, flood risk, school proximity, infrastructure signals, market saturation. Returns structured data with confidence score. Trained on 100 realtor use-case prompts.

• local_intel_healthcare

  Healthcare market intelligence for a ZIP. Ask about provider density, patient demographics, demand gaps, senior population. Returns structured data with confidence score. Trained on 100 healthcare business prompts.

• local_intel_retail

  Retail market intelligence for a ZIP. Ask about store categories, spending capture rates, consumer profile, undersupplied niches. Returns structured data with confidence score. Trained on 100 retail business prompts.

• local_intel_construction

  Construction and home services market intelligence for a ZIP. Ask about contractor density, active permits, housing starts, population growth driving demand. Returns structured data with confidence score. Trained on 100 construction business prompts.

• local_intel_restaurant

  Restaurant and food service market intelligence for a ZIP. Ask about saturation scores, price-tier gaps, capture rates, corridor analysis, tidal momentum. Returns structured data with confidence score. Trained on 100 restaurant business prompts.

• local_intel_ask

  Composite NL query layer. Ask any plain-English question about a ZIP — demographics, market opportunity, restaurant gaps, retail saturation, construction activity, investment signals, healthcare, corridor analysis, recent changes, nearby businesses. Routes internally to the right

• local_intel_compare

  Compare up to 10 ZIP codes side-by-side and get a ranked opportunity table. Returns per-ZIP signals (HHI, capture rate, infra momentum, consumer profile, top gap) plus a top_pick recommendation with reasoning. Best tool for site selection, franchise expansion, investment screenin

• local_intel_project

  Project-type intelligence: pass a project_type (restaurant, clinic, banking, construction, real_estate, residential_development, fitness, legal, retail, auto, etc.) and get L1 ZIPs ranked by market or residential opportunity score plus L2 matching verified businesses already oper

• local_intel_rfq

  Route a customer request to local businesses — food orders, delivery, services, or any job. ALWAYS include the full order or ask in description (or items[]), plus business_id/business_name when ordering from a specific place. Never send a vague description like "Buy me." Use this

• local_intel_rfq_status

  Poll the status of an RFQ. Returns the original request, all responses received so far, and booking details if booked.

• local_intel_book

  Book a specific response to an RFQ — confirms the job with that business. Use after reviewing local_intel_rfq_status responses.

• local_intel_decline_response

  Decline a specific response to an RFQ and get the next in queue. Use when a client rejects the first responder — returns the next pending response automatically. First come first served queue.

• local_intel_complete

  Mark a booked job as complete and settle payment to the local merchant wallet (Tempo pathUSD when SETTLEMENT_ENABLED=true; otherwise records settled_intent and feeds the forecast loop).

基本チェックi

誰でも見られる情報をチェックしており、コードは読んでいません。当てはまらない項目は数に入れていません。 · 2026年11月11日にチェック

• ✓ 合格

  作者とリポジトリが一致

  レジストリ名は、リポジトリを所有するGitHubアカウント MCFLAMINGO で確認済みです

• … 未チェック

  今もメンテナンスされている

  このリポジトリはまだGitHubから読み取っていません

• … 未チェック

  ライセンスがある

  このリポジトリはまだGitHubから読み取っていません

• ✓ 合格

  エンドポイントが応答する

  302ミリ秒で応答（HTTP 200）

• – 対象外

  OAuthでサインイン

  サインイン不要

• ✓ 合格

  ツールの説明に隠れた指示がない

  27件のツールの説明を読み、AIへの隠れた指示は見つかりませんでした

ユーザーレビュー

まだレビューはありません

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その他のほかのサーバーとの比較i

• このカテゴリのほかの19242件のうち0%よりスターが多い
• このカテゴリのほかの19242件のうち6%より最近レジストリに公開
• 基本チェックの結果が、このカテゴリのほかの19242件のうち100%と同じかそれ以上

レジストリでこのカテゴリにある有効なすべてのサーバーと比較しています。スターは、公開者がリポジトリの所有者である場合だけ数えます。

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作者のREADME

リポジトリにREADMEが見つかりません