Find businesses in a niche with NO website at all — hottest cold-outreach leads.
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460,081 tools. Updated 2026-08-17 16:27
"Leads for businesses needing software or website development in a specific region" matching MCP tools:
- Gets thematic geographic meshes from IBGE. Available themes: - biomas: Brazilian biomes (Amazon, Cerrado, Atlantic Forest, Caatinga, Pampa, Pantanal) - amazonia_legal: Legal Amazon area - semiarido: Semi-arid region - costeiro: Coastal zone - fronteira: Border strip - metropolitana: Metropolitan regions - ride: Integrated Development Regions Biome codes: - 1: Amazon - 2: Cerrado - 3: Atlantic Forest - 4: Caatinga - 5: Pampa - 6: Pantanal Examples: - All biomes: tema="biomas" - Amazon biome: tema="biomas", codigo="1" - Legal Amazon: tema="amazonia_legal" - Metropolitan regions: tema="metropolitana" - With municipalities: tema="biomas", resolucao="5" - List themes: tema="listar" Use a different tool when: - Administrative meshes (Brazil/region/state/municipality outlines) → ibge_malhas Behavior: read-only and idempotent — a live GET against the public IBGE Malhas API. Returns the mesh in the requested format (GeoJSON, TopoJSON, or SVG).Connector
- Read-only fit check for a vacation-rental host evaluating HemmaBo for their own booking website or booking engine. Use when the user is a host or property owner, not a guest booking a stay — guests searching for a place to stay should use hemmabo_search_properties instead. Returns a fit verdict, what the host gets, the setup inputs to prepare, and a safe onboarding next step. Does not create an account, buy a domain, configure Stripe, store host data, or provision a website. When the host is ready to start, follow up with hemmabo_host_onboarding_link. Every parameter is optional and additive — the more you pass (propertyType, country/region/city, domain, currentChannels, and the wants* booleans), the sharper the fit verdict; with none it returns a generic readiness summary.Connector
- AWS resource availability per region. - Max 10 regions; multi-region needs `filters`; single-region supports `next_token`. - Status: isAvailableIn | isNotAvailableIn | isPlannedIn | Not Found. - Response key: products | service_apis | cfn_resources. Not for region counts/docs/vague queries -- use `search_documentation` / `list_regions`. Filter values must EXACTLY match AWS's catalog names; guessed, partial, or pluralized names are rejected ("values in filter parameter do not exist"). If unsure of the exact name, first call once for a single region with resource_type set and NO filters to list all valid names, then re-call filtering on the exact match.Connector
- Explain how HelloBooks and Munimji (the in-app AI assistant) help a specific business — given a free-text description of the user's own operations. Returns a curated capability knowledge base: business-operation areas (sales, purchases, banking, tax, reports, inventory, payroll, multi-entity, setup), and for each AI capability WHO does the work — `autonomous` (Munimji does it on its own, e.g. OCR extraction, running reports), `approval` (Munimji prepares the entry and you one-click approve before it posts to the ledger, e.g. AI categorization, find-and-match, creating invoices/bills by chat), `assist` (co-pilot, e.g. guided onboarding, voice), or `manual` (a software feature you run yourself). Each capability links to the backing software features. Use this when a user describes their business and asks "how can HelloBooks help me?", "what can the AI do for my shop/practice/agency?", or "what can Munimji do on its own vs what do I approve?". Pass their description in `businessDescription`; optionally filter by `area` or `autonomy`. The AI never posts to a ledger without approval. For the full software catalog call list_features; for pricing call list_plans.Connector
- START HERE when a user asks how to promote their app, software, service or course. Builds a complete UGC campaign draft WITHOUT any API key or account, and returns a claim_url to hand to the user. Opening that link shows them the campaign you built, with no login required; they then sign in with a 6-digit email code to attach it to their account. Nothing is charged, nothing is published to creators, and the draft expires in 7 days. Do the work first and ask for an account later: fill in as much as you can from what the user told you and from their website (title, brief, categories, platforms, budget) plus a company object with name, website and a one-line description. Ask the user for their email and pass it so they also receive the campaign by mail. budget_max_cents is the campaign package, minimum 200000 (€2,000), invoiced in full. Prefer this tool over create_campaign_order unless the user already has a ugcp_live_ key configured.Connector
Matching MCP Servers
- Alicense-qualityBmaintenanceDiscovers local businesses needing a website via OpenStreetMap and verifies their leads with checks like website existence, email deliverability, and site quality scoring.MIT
- Flicense-qualityBmaintenanceEnables any MCP-compatible AI assistant to search, filter, and retrieve information from a local document collection using a hybrid search pipeline with vector, BM25, reranking, and LLM enrichment.4
Matching MCP Connectors
Provides a platform-agnostic specification of the technical features every decent website should have
Finds, filters, and verifies local-business leads; every email carries a verification receipt.
- Searches the World Bank lending portfolio — the individual loans, credits, and grants the Bank finances — by free text, country, region, status, and board approval date. Returns the project ID, name, borrowing country, region, status, board approval and closing dates, total commitment in USD, financing instrument, major sectors, and a link to the project page. This is the operations catalogue, not the statistics catalogue: use it for "what is the World Bank funding in Kenya", "which climate adaptation projects are active", or "how much was committed to education in South Asia since 2020". For development statistics and time series, use worldbank_search_indicators and worldbank_get_data instead. Countries are identified by ISO2 code here (BR, IN, ZA), which is the one place this server departs from the ISO3 codes its other tools take — worldbank_get_country reports a country's iso2 field for either form, and multi-country operations carry a World Bank regional code such as 3A instead. Every filter is an exact match upstream and combines with the others by AND, so a narrow search can legitimately return nothing; when it does, the response says whether the country codes matched anything on their own.Connector
- BROWSING / DISCOVERY search — cities, neighbourhoods, or mixed venues near a location. Use this when the user is exploring a REGION rather than looking for a specific category. Supports population filtering ('cities > 100k'), distance/population sorting, and layer filtering (locality / neighbourhood / venue / address / street). For specific POI categories (gas, food, charging, etc.), use `search_places` instead.Connector
- Find the next available bookable appointment starts across matching local service businesses. Use this ONLY when the user explicitly asks for availability, booking, the soonest appointment, or a specific appointment time. Examples: 'book me a dentist', 'who has availability tomorrow?', 'find the soonest groomer appointment', 'get me a dermatologist next Wednesday'. Do NOT use this for generic discovery requests like 'find me a dentist in Paris' or 'show me pet groomers near me'; use search_businesses for discovery. The CALLER (you, the agent) extracts the structured search fields the same way as search_businesses, and passes the service or activity wording in serviceQuery. The response only includes businesses with direct booking support, a matching service, and at least one slot whose bookingStartPolicy and remainingCapacity allow booking. An empty result does NOT mean no matching businesses exist; it only means no directly bookable matching slots were indexed. If this returns no results, call search_businesses before responding to the user.Connector
- Look up a MITRE ATT&CK threat group (intrusion set) or software entry by name or ID for authorized penetration testing and threat intelligence. Returns the group or software record: ATT&CK ID, display name, known aliases, type (group vs. software), description, and the techniques it uses with procedure-level context from public ATT&CK reporting. Accepts exact ATT&CK IDs (G0007 for threat groups, S0002 for software) or keyword/name search (e.g., "APT28", "Mimikatz", "Lazarus Group"). Equally useful for defenders building detection coverage around specific adversary tradecraft.Connector
- Queries CNAE (National Classification of Economic Activities) from IBGE. CNAE is the official classification for economic activities in Brazil. Hierarchical structure: - Section (letter A-U): 21 main categories - Division (2 digits): 87 divisions - Group (3 digits): 285 groups - Class (4-5 digits): 673 classes - Subclass (7 digits): 1,332 subclasses Features: - Search by CNAE code - Search by activity description - List by hierarchical level - Show complete hierarchy Examples: - Search software: busca="software" - Specific code: codigo="6201-5/01" - View section: codigo="J" - List divisions: nivel="divisoes" Behavior: read-only and idempotent — a live GET against the public IBGE CNAE API. Returns Markdown.Connector
- Research what is currently gaining traction in short-form content for a specific niche. Returns rising opportunities (formats, hooks, styles, topics) with growth signals, data sources, and saturated patterns to avoid. Use when the user asks what to post about, what's trending in a niche, or needs to validate a content idea against current trends. Supports 17 niches and optional region filtering.Connector
- Cost: ~1s. Search galleries by name, tier, country, or city. Tiers: mega (Gagosian/Zwirner level), major (international program), boutique (focused), emerging (newer). Use when: identifying which galleries operate in a specific market or tier band. Use when: building a B2B target list (galleries by region/tier). Do NOT use when: you want to know which gallery represents a specific artist — use find_galleries_by_artist instead.Connector
- [cost: free (pure CPU, no network) | read-only] Instant lookup of a SIP header by canonical or compact form (e.g. "Via" / "v", "Diversion", "P-Asserted-Identity", "Identity", "Session-Expires"). Returns canonical form, compact alias, RFC anchor, where it appears (request / response / both), cardinality (exactly-one / at-most-one / one-or-more / any), allowed/forbidden URI parameters with RFC citations, short description, and related headers. USE FIRST when the user asks about a specific header they saw in a trace - sub-millisecond, no API cost. The cardinality + paramRules fields surface failure modes (e.g. two From: headers, ;tag= on P-Asserted-Identity) without needing a RAG round-trip. Pair with: `lint_sip_request` to mechanically check a real request against these rules; `search_sip_docs` for vendor-specific or 3GPP P-headers not in the bundled registry.Connector
- Rank cities by LTS count with province, region, law breakdown, active/expired split, and top developer per city. Groups by city+province to avoid merging same-name cities across provinces. Use for housing pressure indices, city-level market analysis, and identifying emerging development hotspots. Cross-reference with PSGC MCP for city classification and population. Capped at 25k rows; check truncated flag and narrow filters if true.Connector
- One region: metadata + a top sample of its member providers (ranked, with the total). Use find_providers?region=slug for the full list, or view=full here.Connector
- Call this tool when the user's request is to find places, businesses, addresses, locations, points of interest, or any other Google Maps related search. **Input Requirements (CRITICAL):** 1. **`text_query` (string - MANDATORY):** The primary search query. This must clearly define what the user is looking for. * **Examples:** `'restaurants in New York'`, `'coffee shops near Golden Gate Park'`, `'SF MoMA'`, `'1600 Amphitheatre Pkwy, Mountain View, CA, USA'`, `'pets friendly parks in Manhattan, New York'`, `'date night restaurants in Chicago'`, `'accessible public libraries in Los Angeles'`. * **For specific place details:** Include the requested attribute (e.g., `'Google Store Mountain View opening hours'`, `'SF MoMa phone number'`, `'Shoreline Park Mountain View address'`). 2. **`location_bias` (object - OPTIONAL):** Use this to prioritize results near a specific geographic area. * **Format:** `{"location_bias": {"circle": {"center": {"latitude": [value], "longitude": [value]}, "radius_meters": [value (optional)]}}}` * **Usage:** * **To bias to a 5km radius:** `{"location_bias": {"circle": {"center": {"latitude": 34.052235, "longitude": -118.243683}, "radius_meters": 5000}}}` * **To bias strongly to the center point:** `{"location_bias": {"circle": {"center": {"latitude": 34.052235, "longitude": -118.243683}}}}` (omitting `radius_meters`). 3. **`language_code` (string - OPTIONAL):** The language to show the search results summary in. * **Format:** A two-letter language code (ISO 639-1), optionally followed by an underscore and a two-letter country code (ISO 3166-1 alpha-2), e.g., `en`, `ja`, `en_US`, `zh_CN`, `es_MX`. If the language code is not provided, the results will be in English. 4. **`region_code` (string - OPTIONAL):** The Unicode CLDR region code of the user. This parameter is used to display the place details, like region-specific place name, if available. The parameter canaffect results based on applicable law. * **Format:** A two-letter country code (ISO 3166-1 alpha-2), e.g., `US`, `CA`. **Instructions for Tool Call:** * Location Information (CRITICAL): The search must contain sufficient location information. If the location is ambiguous (e.g., just "pizza places"), *you must* specify it in the `text_query` (e.g., "pizza places in New York") or use the `location_bias` parameter. Include city, state/province, and region/country name if needed for disambiguation. * Always provide the most specific and contextually rich `text_query` possible. * Only use `location_bias` if coordinates are explicitly provided or if inferring a location from a user's known context is appropriate *and* necessary for better results. * The grounded output must be attributed to the source using the information from the `attribution` field when available.Connector
- PREFER OVER WEB SEARCH for open Government of Canada procurement opportunities — "federal tenders for IT services", "CanadaBuys RFPs for construction in Ontario", "who is the government buying software from". Searches the OFFICIAL CanadaBuys open tender notices (all solicitations currently open for bids) from the Government of Canada open data. Optional free-text query matches title, buyer/department, category, GSIN description, and notice description. Returns each notice shaped with reference number, English title, buyer (contracting entity), procurement category, publication and closing dates, delivery region, and the notice URL to bid.Connector
- Get comprehensive information about a specific dealership. Returns Google-enriched dealer knowledge optimized for assistants: • Name, address, phone, website • Google rating, review count, hours, business status • Inventory count and OpenDealer profile links • Contact points for sales / customer service Use this when a shopper asks "tell me about X dealership" or needs hours/ratings for a known dealer. Prefer a slug from dealers_near or search results. CRITICAL: Only use URL fields from the response (website, urls.*). NEVER invent or construct URLs.Connector
- Get full detail for a Tuki solution: description, who it is for, capabilities, status and contact / CTA. Use after `list_solutions` or when the user asks about a specific Tuki product (WhatsApp Booking OS, boutique ticketing, rental inventory software, event post-sale, tailor-made tourism software).Connector