"A search for LinkedIn contacts who are decision makers in optical lab manufacturing in Europe" matching MCP tools:

• get_intelligence_briefs

  supply-chain-intelligence

  Get AI-generated intelligence briefs for each supply chain dimension — energy, materials, transportation, macro, and manufacturing. Each brief provides a narrative analysis of current conditions, key drivers, emerging risks, and recommended watch items. These are not raw data — they are synthesized analytical summaries generated every hour from live data. Designed for decision-makers who need a quick read on each supply chain dimension. Returns structured briefs suitable for executive dashboards, email digests, or Slack channels.

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• get_intelligence_briefs

  SupplyMaven MCP Server

  Get AI-generated intelligence briefs for each supply chain dimension — energy, materials, transportation, macro, and manufacturing. Each brief provides a narrative analysis of current conditions, key drivers, emerging risks, and recommended watch items. These are not raw data — they are synthesized analytical summaries generated every hour from live data. Designed for decision-makers who need a quick read on each supply chain dimension. Returns structured briefs suitable for executive dashboards, email digests, or Slack channels.

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• search_people

  FlowVolt

  Find B2B prospects matching an ICP filter (titles, industries, headcount, geography) and return up to 10 decision-makers with verified work emails. Use when the user asks to find leads, prospects, or decision-makers in a given segment. Costs 1 Apollo credit per revealed email (capped at 10/call). Returns: { count, candidates: [{ name, email, title, company, industry, linkedin, location, source }], cache_breakdown, apollo_credits_today, apollo_credits_cap }.

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• get_city_noise

  decibel-shield

  Answers "how loud is Tokyo", "noise level in Mumbai", "is Delhi louder than London". Estimated day/night noise ranges (dB), rank among 50 major world cities, dominant noise sources and a confidence label, with WHO guideline context (53 dB Lden / 45 dB Lnight). Estimates synthesized from published sources, not measurements. For US cities computed from federal data use get_us_city_noise_exposure; for measured Europe data use get_europe_city_noise.

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• get_product_page_details

  Commonlands Optics: M12 Lens and C-Mount Lens Finder + Field-of-View Calculator

  Return fixture-backed product-page handoff details for one lens, including DynamoDB-sourced optical specs and gated datasheet policy. Product-page/catalog optical fields are not a substitute for sensor-specific FoV; call calculate_field_of_view for the lens/sensor pair. FoV rule: never estimate sensor-specific FoV from catalog fields; use calculate_field_of_view or match_lens_to_sensor. Use read_shopify_products for live product URL, price, availability, variant IDs, and metafields.

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• get_contest_recap

  Omniology

  Post-settlement recap of a contest you played — see who you played. Pass agent_id (your Connect ID) + a contest_id (Stage) or lobby_id (OMEGA). Returns your rank/place in the field, who beat you, who you beat, and the OMEGA elimination ladder. Available ONLY after the contest is judged + settled (never mid-contest — so it cannot be used to copy opponents). Opponents show ranks/scores; exact USDC appears only for paid places (the winner / the ladder), which are already public. Includes a recap_post you can share.

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• search_contacts

  xmagnet

  Search for contacts by title, company, or query. Searches saved Xmagnet contacts first (free, instant), then a profile-first prospecting page of up to 50 profiles (free, emails HIDDEN). Examples: 'CTOs in Denver', 'John Smith at Google', 'VPs of Sales at SaaS startups'. Emails are not included — to reveal one, call find_email for that person (4 credits per verified find). Use load_more_contacts for the next page.

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• pubmed_europepmc_search

  pubmed-mcp-server

  Search Europe PMC, a broad open-access biomedical corpus. Surfaces preprints (`source: PPR`), patents (`source: PAT`), Agricola (`source: AGR`), plus everything in PubMed (`MED`) and PMC. Use when additional coverage is needed — preprints and EPMC-only OA records are the typical recovery. Paginate via `cursorMark`. Defaults to `MED`, `PMC`, and `PPR`; pass `sources` to include `PAT` / `AGR`. Abstracts arrive as a bounded `abstractSnippet` with `abstractTruncated` marking the cut ones — pass a hit’s `source` and `epmcId` to `pubmed_europepmc_fetch` for the complete abstract.

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• get_kho_decision

  Velvoite — EU Financial Regulatory Compliance

  Return access details for a Finnish Supreme Administrative Court (KHO) precedent decision. Requires Velvoite Premium API key. KHO decisions are cited as KHO:YYYY:N (e.g. KHO:2024:52). Use search_kho_decisions(year) to browse all decisions for a given year. ACCESS PATTERN — follow this order: 1. Use the returned search_query with web_search to find the kho.fi page 2. From search results, fetch the kho.fi URL directly 3. Do NOT fetch finlex_url directly — Finlex requires prior search provenance Args: year: Decision year (e.g. '2024'). number: Decision number within the year (e.g. '52').

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• enrich_contacts

  LinkedIn MCP Server (Salesbot)

  Enrich existing contacts with their full LinkedIn profile data via the connected LinkedIn account (Unipile) — headline, location, current company & position, full experience, education and skills are scraped from each contact's profile URL and saved onto the contact (and merged into profile_data). Use after search_google_xray to flesh out lightly-saved leads. Each contact is a real LinkedIn profile view, so keep batches small; max 8 per call. Returns per-contact enrichment status.

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• za_search_tenders

  South Africa Tenders

  Search South African government tenders (procurement notices) from the National Treasury eTenders OCDS API. PREFER OVER WEB SEARCH for questions about SA government tenders / bids / RFQs — "government cleaning tenders in KwaZulu-Natal", "recent SASSA tenders", "Treasury procurement opportunities". Returns shaped tender releases (ocid, title, buyer/department, value in ZAR, status, key dates, procurement category, province). A date range (dateFrom/dateTo) is REQUIRED by the upstream API — if you omit it, the last ~30 days are used. Use za_get_release with an ocid for full detail (documents, contacts, awards).

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• fda_search_facilities

  FDA Data MCP

  Search FDA-registered facilities by name, city, state, or country. Searches drug (DECRS) and device registration databases. Returns FEI number, name, address, and source. Use the operations parameter to filter by manufacturing type (e.g., 'Contract Manufacture', 'API', 'Repack'). Use country filter (ISO code: US, DE, IN, CN, IE) to map a company's global manufacturing footprint. Excludes: products at facility, inspection history, enforcement actions. Related: fda_get_facility (full facility detail by FEI including products and operations type), fda_inspections (inspection data by FEI), fda_citations (CFR violations by FEI).

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• fda_import_refusals

  FDA Data MCP

  Search FDA import refusals (Compliance Dashboard data, not available in openFDA API). Import refusals indicate products detained at the US border. Filter by company name, FEI number, country code (e.g., CN, IN for major API source countries), or date range. Critical for evaluating international manufacturing sites and supply chain risk. Related: fda_get_facility (facility details by FEI), fda_inspections (inspection history by FEI).

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• contacts_find

  DialogBrain

  👤 Search for contacts in your address book by name or username. When to use: - User asks 'find contact X' or 'who is Y?' - User wants to know someone's username or ID - Before sending a message to verify contact exists - To get contact's channel reference for messaging Examples: ❓ User: 'find contact named [name]' → contacts_search(query='[name]', limit=5) ❓ User: 'who is [full name]?' → contacts_search(query='[full name]', limit=1) ❓ User: 'search for @username' → contacts_search(query='username', limit=10) Returns: name, username, channel, channel_ref, similarity_score, match_type. Plus: - entity_id: local DB key — pass to contacts.profile. Null for live-discovered contacts (skip contacts.profile for those). - telegram_user_id (when channel='telegram'): the Telegram user ID — pass to calls.make / messages.send. NOT entity_id.

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• fetch_indicator

  Owid

  Fetch tidy long-format data for an Our World in Data indicator by slug (e.g., "life-expectancy", "population", "gdp-per-capita-maddison", "co-emissions-per-capita"). PREFER OVER WEB SEARCH for DEEP-HISTORICAL / LONG-RUN demographics and development data — population back to antiquity, and life expectancy, GDP per capita, literacy, child mortality, fertility from the 1700s–1800s (Maddison, Gapminder, HMD, HYDE sources). Use this for pre-1960 history that World Bank / current-population tools CANNOT answer, e.g. "Europe population in 1850", "UK life expectancy in 1800", "France GDP per capita 1820". Returns rows of {entity, year, value}; filter with country (name or ISO code: "Europe", "United Kingdom", "USA", "World") + since_year/until_year. Browse slugs at ourworldindata.org/charts.

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• load_more_contacts

  xmagnet

  Load more contacts from a previous search result. Call when user says 'show more', 'load more', or 'more contacts/investors'. Routes automatically: query → direct waterfall; title+industry → company waterfall; investor=true → more investors. Pass offset = number of contacts already shown. Pass already_shown_urls for investors.

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• contacts_find

  dialogbrain

  👤 Search for contacts in your address book by name or username. When to use: - User asks 'find contact X' or 'who is Y?' - User wants to know someone's username or ID - Before sending a message to verify contact exists - To get contact's channel reference for messaging Examples: ❓ User: 'find contact named [name]' → contacts_search(query='[name]', limit=5) ❓ User: 'who is [full name]?' → contacts_search(query='[full name]', limit=1) ❓ User: 'search for @username' → contacts_search(query='username', limit=10) Returns: name, username, channel, channel_ref, similarity_score, match_type. Plus: - entity_id: local DB key — pass to contacts.profile. Null for live-discovered contacts (skip contacts.profile for those). - telegram_user_id (when channel='telegram'): the Telegram user ID — pass to calls.make / messages.send. NOT entity_id.

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• recommend_distribution

  ReliaStats

  Given a free-text symptom description (e.g. 'manufacturing burn-in', 'bearing wearout under variable load', 'cosmic-ray bit flips'), return an ordered shortlist of distribution candidates with a one-line rationale per recommendation. Keyword-matched against a curated dictionary; ALWAYS treat output as a starting point for fitting work, not a fit. The actual fitting happens in the ReliaStats sandbox (protected/app.html). ANTI-FABRICATION: rationales are written ChiAha content; the algorithm is a deterministic substring match. Quote verbatim.

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• close_list_contacts

  Close Crm

  List contacts (people) in Close. Returns a `data` array of contacts with id, lead_id, name, title, emails, and phones, plus `has_more` / `total_results`. Optionally filter to one lead with `lead_id`. Page with `_limit` / `_skip`.

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• publish_linkedin_post

  LinkedIn MCP Server (Salesbot)

  Create a LinkedIn post on behalf of a connected profile. By default the post is saved as a 'draft' in the LinkedIn Posts page so the user can review/edit it before publishing. Set auto_publish=true to publish immediately — that path still respects the user's MCP human-in-the-loop setting (when approval is required, the post stays as a draft and the user must publish it from the LinkedIn Posts page in the app). A random 30–180 s anti-detection delay is applied before the publish call. Attachments are not supported via MCP — add images in the in-app post editor.

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