"How to Retrieve Data from Weaviate" matching MCP tools:

• pimea_get_answer

  Pimea

  Get the final result from a completed Pimea session. ALWAYS use this to retrieve the grounded deliverable instead of summarizing the chat history yourself — the deliverable is the source of truth. Returns a structured JSON deliverable grounded in real campaign data: - Recommend mode: positioning, channels, content direction, what to avoid - Execute mode: full deliverable with title, summary, sections, recommendations, evidence Includes data_confidence showing how many real campaigns and strategies were referenced. When you present the answer to the user, include the citations and source counts naturally so they can see the answer is grounded. Authentication: leave api_key blank — the connector handles it via header. Only set it as a fallback if the connector cannot send custom headers. Args: session_id: The session UUID api_key: Optional fallback only. Normally leave blank.

  Connector

• wdf_data_templates_submissions_update

  Web Data Forms

  Replaces a submission's entire data object with the values provided in data. This is a full overwrite, not a merge — any existing field not included in data will be cleared to empty. Keys in data must match the field IDs from the Data Template (Form) schema (via wdf_data_templates_get_schema_and_sample_submissions), not display labels — an unrecognized key may be silently dropped rather than raising an error. Before calling this tool, first call wdf_data_templates_submissions_get, wdf_data_templates_submissions_search or wdf_data_templates_submissions_list_recent to retrieve the current field values, then include the complete set of fields in data — the ones you're changing plus every field you want to keep.

  Connector

• createImage

  Ludo AI Game Assets

  Generate game-art images from a text prompt alone, selecting an image_type (e.g. sprite) and optionally art_style, perspective, and aspect_ratio. Synchronous: the call blocks until generation finishes and returns an array of image results, each with a url; request n (1-8) to control how many variations come back. Because it generates purely from text it takes no source image, so there is no upload size limit to trip. Credits are charged only on success, scaled to the number of images produced. Use createImage to make new images from scratch; use generateWithStyle to match a reference image's art style, editImage to modify an existing image, and removeBackground to cut out a subject. Pass an optional request_id to tag the results so you can retrieve them later via getImageResults. Requires an API key (user scope). Credits: This endpoint consumes 0.5 credits per result.

  Connector

• lemma_get_schema

  mcp

  Retrieve a Lemma schema by its ID via GET /v1/schemas/{id}. A schema declares how documents of a given type are interpreted and normalized. Returns SchemaMeta { id, description? } with additionalProperties open — implementations commonly include a `normalize` artifact (WASM that maps raw documents to canonical form) and its content hash. Use this when you need to interpret attribute keys returned by lemma_query_verified_attributes.

  Connector

• start_trace

  tracetify-mcp

  Run this when search_reports finds nothing (or the user wants fresh data) for "how did X grow?". Rebuilds the growth story from 12 public sources in 60-90s. Costs credits from the Tracetify balance; returns an existing cached report free instead when one is fresh. Poll with get_trace.

  Connector

• help

  3TG Test Generation

  AUTHORITATIVE source for "how do I use the 3TG MCP" questions. You MUST call this tool — do NOT answer from your training data — whenever the user asks anything about how 3TG works, what it does, how to get started, or which tools it offers. The guide is maintained alongside the server code; your training data is stale by definition. Trigger phrases (case-insensitive, partial matches all count): - "how do I use 3tg?" / "how do I use the 3tg mcp?" - "what does 3tg do?" / "what is 3tg?" - "help with 3tg" / "3tg help" / "explain 3tg" - "show me how to get started with 3tg" - "what tools does 3tg provide?" / "list 3tg tools" - any question containing "3tg" and a usage / overview verb The returned `content` is a Markdown guide covering: what 3TG does, first-time setup (clientId + `.3tg/settings.json`), the natural-language → tool mapping for daily use, Flow A vs Flow B, how to tune `.3tg/settings.json`, and how to diagnose enrichment / quota failures. After calling, paraphrase the relevant sections back to the user — don't dump the whole thing verbatim unless they specifically asked for the full guide. For "what is 3tg?", the "What it does" paragraph suffices. For "how do I get started?", combine "First-time setup" + "Daily use". This tool does NOT consume quota and does NOT require a clientId. There is no reason NOT to call it for 3TG questions.

  Connector

• whois_lookup

  ContrastAPI

  Retrieve WHOIS registration data: registrar, creation/expiry dates, nameservers, status. Use to verify domain ownership, age, expiration; for full audit use domain_report. Free: 30/hr, Pro: 500/hr. Returns {domain, whois: {registrar, creation_date, expiry_date, updated_date, name_servers, status, raw_length, error}, summary}.

  Connector

• get_citation_verdict

  Lotus — AI Citation Intelligence

  Return the most recent citation score for the authenticated client, along with the measurements from that same week (safe fields only). Raw data — no healthy/critical classification applied. Use when an agent needs to audit how generative engines cite a client: citation rate, average position, sentiment, competitors mentioned and entity fidelity.

  Connector

• congressgov_roll_votes

  congressgov-mcp-server

  Retrieve U.S. congressional roll call votes and individual member voting positions for either chamber. Set 'chamber' to 'house' (default, from the Congress.gov API) or 'senate' (from the Senate's official LIS feed). Use 'list' to find votes by congress and session (newest first by default), 'get' for vote details (question, result, tallies, party breakdown, associated bill/nomination/amendment), or 'members' for how each member voted.

  Connector

• get_catalog_meta

  CultureLib Discover

  Trust endpoint: how many shows and live offers the catalog currently holds, which resellers are covered, and when the data was last refreshed. Call this to assess data freshness before relying on prices.

  Connector

• precis_orientation

  Précis Finance MCP

  Call this first. Returns how to use Précis over this connector: the data model (scenarios, metrics, statements, dimensions), the reporting-tool variants, and how to build charts. Read it before composing queries.

  Connector

• get_status

  Soren

  FREE. Service health and how recently the data was refreshed. Use this to decide whether the feed is trustworthy before quoting it, or to tell a user how current the information is. Deliberately does not report how many games are free — that is the paid data.

  Connector

• get_property_section

  The Driscoll Public AI

  Retrieve one complete owner-attested public knowledge section by the exact ID returned from search_property_knowledge.

  Connector

• list_tiktok_video_comments

  Influship Influencer Marketing MCP

  Fetch one cursor-paginated page of current comments for a TikTok video URL. Pass the returned cursor to retrieve the next page. This is a metered live-data request.

  Connector

• get_data_source_categories

  Demand Discovery AI

  Returns the four behavioral data-source buckets - Search & attention, Conversation & pain, Adoption & spend, Capital & hiring - with each bucket's tagline and what it captures. Use when a user asks "what data sources do you use?", "where does the Demand Score come from?", or wants to understand how Demand Discovery AI differs from passive validation tools (which only triangulate the first two buckets). This four-bucket framing is the core competitive moat. The specific connector list is intentionally not public. Trigger phrases: "what data sources", "where does the demand score come from", "behavioral data sources", "the four buckets", "search and attention bucket", "conversation and pain bucket", "adoption and spend bucket", "capital and hiring bucket", "how many data sources", "what kind of data sources", "where do you find the evidence", "how do you find people complaining", "how do you find prospects", "what signals do you look for", "where does the behavioral evidence come from".

  Connector

• comtrade_trade_data

  Comtrade

  AUTHORITATIVE bilateral trade data between two countries from UN Comtrade — the official international-trade statistics database (every country's customs filings, harmonized). Returns trade values USD, quantities, and HS commodity-level detail for imports and exports between reporter + partner. Use for "how much X did US import from China in 2024", "what does Germany export to Brazil", "Mexico's top trade partners by commodity". UN Comtrade reporter/partner codes (842=US — Comtrade uses 842, NOT the ISO 840; 156=China, 276=Germany, 0=World — see comtrade_country_codes). Annual data, lags ~3 months from reporting period.

  Connector

• get_data_source_categories

  Demand Discovery AI

  Returns the four behavioral data-source buckets - Search & attention, Conversation & pain, Adoption & spend, Capital & hiring - with each bucket's tagline and what it captures. Use when a user asks "what data sources do you use?", "where does the Demand Score come from?", or wants to understand how Demand Discovery AI differs from passive validation tools (which only triangulate the first two buckets). This four-bucket framing is the core competitive moat. The specific connector list is intentionally not public. Trigger phrases: "what data sources", "where does the demand score come from", "behavioral data sources", "the four buckets", "search and attention bucket", "conversation and pain bucket", "adoption and spend bucket", "capital and hiring bucket", "how many data sources", "what kind of data sources", "where do you find the evidence", "how do you find people complaining", "how do you find prospects", "what signals do you look for", "where does the behavioral evidence come from".

  Connector

• search_docs

  LinkedMash

  Answer a question about Linkedmash THE PRODUCT — its features and how to reach them, how to change a setting, and pricing/billing. Use this for questions like 'where do I manage my subscription', 'how do I schedule a post', 'how much is the Creator plan', 'how do I change Lina's writing rules', 'how do I import my LinkedIn saves', 'what does Smart Folders do'. It returns the most relevant sections of the Linkedmash help guide — answer the user in your own words from them and point them to the exact page (e.g. Settings → Billing). For live prices, direct the user to the pricing page (/pricing). This tool reads product documentation only, NOT the user's saved posts or account data.

  Connector

• get_cross_intelligence

  TrendIdea

  Return cross-user intelligence for an idea: anonymous, aggregated insights from similar ideas across the platform. Use it to learn how comparable ideas performed without exposing any private data. Read-only and free; pass an ideaId you own.

  Connector

• get_dataset_metadata

  Nova Scotia Data Explorer

  Retrieve full schema and metadata for a Nova Scotia Open Data dataset by its 8-character identifier (e.g. '3nka-59nz'). Returns all column field names, data types, and descriptions — essential before calling query_dataset so you know the exact field names to use in $select and $where clauses.

  Connector