MCP server

Local Intel

io.github.MCFLAMINGO/local-intel

Checked 25 Oct 2026, 20:29 UTC · Connected to it and listed its tools

Hyperlocal business intelligence for AI agents. 20 MCP tools. Florida-first, Sunbelt expansion.

Source

At a glance

Type

MCP server

Publisher

Not verified

Status

Working at last check

Tools

27

Token cost

About 5,423 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

25 Oct 2026, 20:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

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

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.local-intel]
url = "https://gsb-swarm-production.up.railway.app/api/local-intel/mcp"

Gemini CLI

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

Cursor

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

VS Code

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

Antigravity

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

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"local-intel","server_url":"https://gsb-swarm-production.up.railway.app/api/local-intel/mcp","require_approval":"always"}

Grok (xAI API tools)

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

Tools

• local_intel_ask ~218 tokens
  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 tools and returns a
• local_intel_bedrock ~142 tokens
  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_book ~133 tokens
  Book a specific response to an RFQ — confirms the job with that business. Use after reviewing local_intel_rfq_status responses.
• local_intel_changes ~91 tokens
  Recently added or owner-verified business listings. Use to detect new openings or data updates.
• local_intel_compare ~224 tokens
  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 screening, and market priori
• local_intel_complete ~130 tokens
  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).
• local_intel_construction ~192 tokens
  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_context ~186 tokens
  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_corridor ~134 tokens
  Businesses along a named street corridor. Use for queries like "what is on A1A" or "businesses on Palm Valley Road".
• local_intel_decline_response ~165 tokens
  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_for_agent ~306 tokens
  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_healthcare ~180 tokens
  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_nearby ~181 tokens
  Find businesses within a radius of any lat/lon point, sorted by distance with compass bearing.
• local_intel_oracle ~158 tokens
  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 derived from population, i
• local_intel_project ~302 tokens
  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 operating in that sector
• local_intel_query ~329 tokens
  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 "Who can do landscapin
• local_intel_realtor ~208 tokens
  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_restaurant ~189 tokens
  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_retail ~178 tokens
  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_rfq ~740 tokens
  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 when KDS/POS is off
• local_intel_rfq_status ~90 tokens
  Poll the status of an RFQ. Returns the original request, all responses received so far, and booking details if booked.
• local_intel_search ~177 tokens
  Search businesses by name, category, or semantic group (food, retail, health, finance, civic, services).
• local_intel_sector_gap ~254 tokens
  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 employment share, demand e
• local_intel_signal ~159 tokens
  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_stats ~53 tokens
  Dataset coverage stats: total businesses, confidence scores, query volume, revenue earned.
• local_intel_tide ~174 tokens
  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_zone ~130 tokens
  Spending zone and demographic data for a ZIP code: population, income, home value, rent, ownership rate, zone score. Pass zip or lat/lon.

Browse

• GitHub tools
• Website monitoring
• Payments
• Legal research
• GitHub and code hosting

Related MCP servers

• Bezal — Local Business Intelligence for AI Agents
  Search 7,000+ local service businesses across America by category, location, or keyword.
• Headed In: Florida trips, water and weather
  Live Florida trip info: boat ramps, NOAA forecasts, red tide, beach flags, bridges, launches, picks.
• Gapup
  271 agent-payable tools: competitive intel, finance, KYC, compliance, ESG. x402 per-call.
• Pool Pro Florida
  Pool service scheduling and lead management for Pool Pro Florida in St. Lucie County, Florida.
• Booqer
  Verified Booqer shops. A keyless consult is confirmed when the slot is open.
• Small Business Intelligence by Brick & Mortar
  Free joined public records for small business and CRE: Twin Cities parcels, sales, licences
• RegPulse Compliance Oracle
  Read-only US food license data: verified state rules, Florida license lookup, renewal dates.
• Adu Zoning
  Check if a Florida address can build an ADU: county GIS zoning, eligibility verdict, local rules.

Badge for your README

[![AptLynx](https://aptlynx.net/badge/io.github.MCFLAMINGO/local-intel.svg)](https://aptlynx.net/servers/io.github.MCFLAMINGO/local-intel)

Listing text is written by the maker; AptLynx lists tools and does not vouch for them. Find another tool · Browse by topic · For agents