"A query for finding maps or mapping tools" matching MCP tools:

• content_discoveryA

  gapup-mcpC

  Discover content franchises within a domain. Two modes: pass `tag` for a precise taxonomy match (every game tagged 'co-op'), or pass `query` for free-text SEMANTIC search powered by pgvector embeddings — finding franchises by meaning ('dark atmospheric games about isolation') even when no literal tag matches. Results are verifiable: tag mode carries tag confidence/corroboration, semantic mode carries a similarity score; both carry entity freshness. When to use: an agent wants a domain-scoped shortlist by tag or by intent. Inputs: a domain plus either a tag or a free-text query.

  ConnectorNo auth

• content_discoveryA

  mcp-knowledgeC

  Discover content franchises within a domain. Two modes: pass `tag` for a precise taxonomy match (every game tagged 'co-op'), or pass `query` for free-text SEMANTIC search powered by pgvector embeddings — finding franchises by meaning ('dark atmospheric games about isolation') even when no literal tag matches. Results are verifiable: tag mode carries tag confidence/corroboration, semantic mode carries a similarity score; both carry entity freshness. When to use: an agent wants a domain-scoped shortlist by tag or by intent. Inputs: a domain plus either a tag or a free-text query.

  ConnectorNo auth

• content_discoveryA

  gapup-mcpC

  Discover content franchises within a domain. Two modes: pass `tag` for a precise taxonomy match (every game tagged 'co-op'), or pass `query` for free-text SEMANTIC search powered by pgvector embeddings — finding franchises by meaning ('dark atmospheric games about isolation') even when no literal tag matches. Results are verifiable: tag mode carries tag confidence/corroboration, semantic mode carries a similarity score; both carry entity freshness. When to use: an agent wants a domain-scoped shortlist by tag or by intent. Inputs: a domain plus either a tag or a free-text query.

  ConnectorNo auth

• asterwise_get_angel_number_personalA

  AsterwiseA

  Computes a personal angel number from a birth date using the Pythagorean Life Path as the base. Life Path 1-9 maps to the triple sequence (LP 4 → 444). Master numbers 11, 22, 33 map to 1111, 2222, 3333 respectively. WORKFLOW: BEFORE: RECOMMENDED — asterwise_get_numerology_profile — confirm Life Path before calling. AFTER: None. INPUT CONTRACT: date: Birth date in YYYY-MM-DD format. Example: '1994-03-31' name (optional): Person's name for personalisation. DO NOT CONFUSE WITH: asterwise_get_angel_number_today — collective daily number from today's date, not birth date. asterwise_get_numerology_profile — full Pythagorean profile; this tool extracts only the Life Path → angel sequence mapping. Full output and error contract: https://docs.asterwise.com/mcp/tools/get-angel-number-personal/

  ConnectorOAuth

• list_categoriesA

  pifiniA

  Discover valid category values for search_places. Pifini's places directory uses Overture Maps' taxonomy — over 1,000 specific values like caribbean_restaurant, church_cathedral, landmark_and_historical_building — rather than broad buckets, so guessing a category string will usually miss. Call this first with a rough query (e.g. 'coffee' or 'beach') to find the exact value, then pass it to search_places' category parameter.

  ConnectorNo auth

• get_tier1_recommendationsA

  Tier1 IT AssessmentA

  Maps only stable Tier1 finding identifiers to approved Tier1 services and public resources. Call after a Tier1 score or email-domain check. Do not submit prose, URLs, customer information, or invented identifiers. This tool performs no arbitrary fetching, makes no contact request, changes nothing, and stores nothing.

  ConnectorNo auth

• asterwise_get_prashna_chartA

  AsterwiseA

  Casts a Prashna chart for the query instant from the supplied date, time, place and a single-topic keyword. Returns houses, Moon diagnostics, a verdict, and cusps. WORKFLOW: BEFORE: None — standalone for horary. AFTER: None. INPUT CONTRACT: question must be exactly one of: self, wealth, siblings, property, children, health, marriage, death, travel, career, gains, loss. Full sentences are not validated locally and are rejected upstream → MCP INTERNAL_ERROR at the tool layer. PrashnaInput enforces date/time/lat/lon/ayanamsa patterns locally. DO NOT CONFUSE WITH: asterwise_get_natal_chart — requires birth data, not query-moment prashna. asterwise_get_kp_chart — natal KP from birth time, not horary keyword mapping. Full output and error contract: https://docs.asterwise.com/mcp/tools/get-prashna-chart/

  ConnectorOAuth

• asterwise_get_angel_number_personalA

  AsterwiseA

  Computes a personal angel number from a birth date using the Pythagorean Life Path as the base. Life Path 1-9 maps to the triple sequence (LP 4 → 444). Master numbers 11, 22, 33 map to 1111, 2222, 3333 respectively. WORKFLOW: BEFORE: RECOMMENDED — asterwise_get_numerology_profile — confirm Life Path before calling. AFTER: None. INPUT CONTRACT: date: Birth date in YYYY-MM-DD format. Example: '1994-03-31' name (optional): Person's name for personalisation. DO NOT CONFUSE WITH: asterwise_get_angel_number_today — collective daily number from today's date, not birth date. asterwise_get_numerology_profile — full Pythagorean profile; this tool extracts only the Life Path → angel sequence mapping. Full output and error contract: https://docs.asterwise.com/mcp/tools/get-angel-number-personal/

  ConnectorOAuth

• search_schemaA

  OnlyWorldsA

  Search every element type's fields for `query` (case-insensitive substring), across all 22 types. Useful for "which types have a `location` field?" or finding where a concept lives in the schema. Returns a mapping of type slug -> the matching field names in that type (types with no match are omitted); a `query` that also matches a type slug lists that type with an empty field list so the type-name hit is not lost. Unauthenticated.

  ConnectorNo auth

• fill_batchA

  EmbossA

  Fill one copy of a PDF form for every row of a spreadsheet. Fill a form for every row of a CSV (csv_text or csv_url, up to 1000 rows). mapping is {column: field_id}; omit it to use the suggested mapping. If mapping is omitted, suggest_mapping runs first and is billed as one context fill. Batches up to 50 rows finish before this returns; larger ones keep running, poll get_batch. Each row is billed as one fill. retention (ephemeral or account_default) is accepted but changes nothing: the form keeps the setting it was created with.

  ConnectorOAuth

• biorxiv_search_preprintsA

  biorxiv-mcp-serverA

  Search preprints by keyword and/or author using EuropePMC for relevance ranking, then enrich matching DOIs with full bioRxiv/medRxiv metadata. Provide a keyword query, an author name, or both — author maps to an EuropePMC AUTH: field query and is ANDed with the keyword query. Covers both servers by default. EuropePMC indexes new preprints within 1–2 days of posting; for preprints posted within the last day, prefer biorxiv_list_recent. Abstracts are included by default; include_abstract: false omits them from every result for a response about a third the size, and biorxiv_get_preprint returns the abstract for up to 10 DOIs per call. A EuropePMC rate limit (HTTP 429) fails the call with a retryable rate_limited error carrying the wait in seconds — a rate-limited metadata enrichment does not, and instead marks the affected record enrichment_error: "rate_limited".

  ConnectorNo auth

• search_providersA

  KaletoA

  Search current enrichment provider records by natural-language interests in a required region: pass the place the family names (city, neighborhood or area) or a region ID. Jev maps it onto a covered region in parallel with the activities, and the response region is the region searched; call list_regions only after LOCATION_UNSUPPORTED. Location words in the query are not used for filtering. Jev maps the query onto specific activities, PostgreSQL retrieves up to 120 providers in the region tagged with those activities, and Jev ranks them by relevance. Returns selected_types, relevance scores and limitations; does not verify program availability. All callers share the same search rate and concurrency limits. Search text is processed by Jev; operational search analytics are stored. Do not include child names or private details.

  ConnectorNo auth

• search_providersA

  KaletoA

  Search current enrichment provider records by natural-language interests in a required region: pass the place the family names (city, neighborhood or area) or a region ID. Jev maps it onto a covered region in parallel with the activities, and the response region is the region searched; call list_regions only after LOCATION_UNSUPPORTED. Location words in the query are not used for filtering. Jev maps the query onto specific activities, PostgreSQL retrieves up to 120 providers in the region tagged with those activities, and Jev ranks them by relevance. Returns selected_types, relevance scores and limitations; does not verify program availability. All callers share the same search rate and concurrency limits. Search text is processed by Jev; operational search analytics are stored. Do not include child names or private details.

  ConnectorNo auth

• google-maps.place_typesA

  Vee3A

  List supported Google Maps place type values for search filters. Returns place_types as a string array. Use a value with place_type on google-maps.search or google-maps.nearby_search. Cost = 1 token.

  ConnectorNo auth

• preview_broadcastA

  DripRaven WhatsApp campaignsA

  Render exactly what a broadcast would send, using real contacts from the segment, BEFORE you send it. Call this before send_broadcast and show the user the result so they can confirm the personalisation is right (this is how you catch a template that says "Hi Alex" instead of the contact's real name). Returns { template, segment, contact_count, variables (each placeholder → the contact field it maps to, or null if unmapped), unmapped_placeholders, previews (per-contact rendered message), warnings }. If unmapped_placeholders is non-empty or a preview shows a blank/wrong value, fix the mapping with set_template_variables and preview again before sending.

  ConnectorOAuth

• search_toolsA

  Beste KI ToolsA

  Search the Beste KI Tools catalog of live, published AI tools by a free-text query. Matches on tool name, tagline, or category name (case-insensitive substring). Call this first when a user asks to find, discover, or compare AI tools by keyword, use-case, or category (e.g. 'agents', 'writing assistants'). Returns up to 20 results.

  ConnectorNo auth

• google_map_placeA

  Crawlora MCPA

  Fetch detailed Google Maps information for a known `place_id`. Use google_map_search to find places or google_map_place_photos and google_map_place_reviews for the full photo and review data.

  ConnectorNo auth

• google_map_placeA

  Crawlora MCPB

  Fetch detailed Google Maps information for a known `place_id`. Use google_map_search to find places or google_map_place_photos and google_map_place_reviews for the full photo and review data.

  ConnectorNo auth

• preview_upload_mappingA

  xmagnetA

  STEP 1 of contact upload. Given the column headers from the user's spreadsheet/CSV, returns how each column maps to an Xmagnet field (standard fields + the tenant's saved custom fields). ALWAYS call this before upload_contacts and show the mapping to the user for confirmation. Unrecognized columns are auto-assigned to free custom_field slots.

  ConnectorNo auth

• get_testing_guidelinesA

  IA-QA — 130+ QA & Dev Tools for AI AgentsB

  Query the IA-QA methodology knowledge base. Returns structured testing guidelines, assertion strategies, thresholds, best practices, and relevant MCP tools for a given topic. Call without a topic to list all available topics. Topics: llm-unit-testing, rag-pipeline, prompt-stability, prompt-ab-testing, embedding-quality, eval-framework, semantic-testing, auto-testing, security, api-testing, ci-cd, multimodal, llm-data-security, agent-observability, pro-tips, learning-paths, golden-dataset, selector-drift, qa-recipes, playbooks. Not sure where to start testing an LLM, RAG pipeline or agent? Call without a topic (or with "start-here"): it maps what you are testing to the tools to call and the output field to gate CI on. A plain question such as "how do I test my RAG" also resolves to the right topic.

  ConnectorNo auth

• search_reviewsA

  Cochrane Medical ReviewsA

  Search Cochrane systematic reviews via PubMed. Finds Cochrane Database of Systematic Reviews articles matching your query. Returns PubMed IDs, titles, and publication dates. Use get_review_detail with a PMID to get the full abstract. Args: query: Search terms for finding reviews (e.g. 'diabetes exercise', 'hypertension treatment', 'childhood vaccination safety'). limit: Maximum number of results to return (default 20, max 100).

  ConnectorNo auth