"A tool for finding and analyzing company reviews sorted by sentiment" matching MCP tools:

• getInstagramPostInteractingUsersA

  Social Media Search API — Twitter, Instagram, Reddit, TikTok (XPOZ)A

  Get USER PROFILES of people who interacted with an Instagram post. Returns full user data (bio, followerCount, followingCount, etc.). RETURNS USER PROFILES: id, username, fullName, biography, followerCount, followingCount, isVerified, profilePicUrl. Use for analyzing WHO engaged with a post. NOT FOR COMMENT TEXT: To read the actual comment content (what people wrote), use getInstagramCommentsByPostId instead. INTERACTION TYPES: "commenters" (users who commented), "likers" (users who liked). WHEN TO USE THIS TOOL: Analyzing commenters/likers demographics, finding influencers who engaged, building audience profiles, network analysis of who interacts with posts. WHEN TO USE getInstagramCommentsByPostId: Reading comment text, sentiment analysis of what was said, analyzing discussion content. FAST (default, omit responseType or responseType="fast"): Returns up to 300 results directly (use limit param to reduce, e.g. limit=5). Auto API fallback for commenters when stale. PAGING (responseType="paging"): Async paginated results (1000 users per page with default fields), returns operationId - IMMEDIATELY call checkOperationStatus to get results. CSV export included via dataDumpExportOperationId. Supports pageNumber/tableName for subsequent pages. Optional fields (default: ["id", "username", "fullName"]). Available: biography, isPrivate, isVerified, followerCount, followingCount, mediaCount, profilePicUrl. This is a safe, read-only tool for analyzing searchable information.

  ConnectorOAuth

• get_companyA

  Dice MCPA

  Retrieve the name and description of the company behind a job, by job ID. Use this tool when users want more detail about a company than search_jobs/get_job_details return (e.g. after finding a job and wanting to know more about the company that posted it). DO NOT use for: searching/discovering companies or jobs by keyword (use search_jobs instead). LLM USAGE INSTRUCTIONS: - The typical flow is: search_jobs to find jobs -> user picks one -> offer to look up the company -> if the user agrees, call this tool with that same job_id (the same guid used for get_job_details; no separate lookup step is needed first). - Do not call this automatically right after get_job_details; ask the user first unless they already explicitly asked for company details. - Not every company has published an employer branding profile, and some profiles are marked not visible by the company. When that happens this tool does NOT raise — it returns a Company with `message` set and empty name/desc. Relay that message to the user (e.g. "Looks like that company hasn't published a public profile.") rather than treating it as an error. Args: job_id: The unique identifier of the job whose company to look up (required). This must be the job's `guid` field from a search_jobs result, NOT its `id` field — `id` is a different, internal identifier that this tool does not accept. Returns: Company: Contains: - name: The company name (empty if message is set) - desc: The company description (empty if message is set) - message: Set instead of name/desc when there is no visible company profile to show; None when name/desc are populated Raises: Exception: If the job is not found, an API call itself fails (network error, non-200 response, GraphQL errors), or input validation errors occur

  ConnectorNo auth

• search_by_sentimentA

  Islam West Africa Collection (IWAC)A

  Filter articles by gpt-5-6-luna sentiment labels (accent/case-insensitive exact match). One model's reading, not a consensus — 4 other models scored the same articles and often disagree; get_sentiment_distribution with model:"all" shows by how much. `subjectivity` is much the weakest of the three scales, so treat a set selected on it as a lead to read rather than as a finding.

  ConnectorNo auth

• getTiktokCommentsByPostIdA

  Social Media Search API — Twitter, Instagram, Reddit, TikTok (XPOZ)A

  Get COMMENT CONTENT (text, likes) for a Tiktok post. Returns the actual comment objects with text and metadata. RETURNS COMMENT DATA: id, text, username, createdAtDate, likeCount. Use for reading what people said. FAST (default, omit responseType or responseType="fast"): Returns up to 300 results directly (use limit param to reduce, e.g. limit=5). Auto API fallback for fresh data. PAGING (responseType="paging"): Async paginated results (100/page), returns operationId for polling via checkOperationStatus. Supports pageNumber/tableName for subsequent pages. CSV (responseType="csv"): Async single CSV download, returns operationId, poll for S3 link. CODE EXECUTION: For csv mode, download CSV and use code execution to analyze full dataset. Ideal for: sentiment analysis, reading discussions, analyzing comment content, engagement patterns. Date filters: OMIT startDate/endDate by default. ONLY pass if user explicitly requests date range. IMPORTANT!!!!!: THE CURRENT YEAR IS 2026. When user requests relative dates (last week, last month), verify the current date from your system context and double-check the calculated dates - models often get the year wrong, searching one year earlier than intended. Optional fields: ["id", "text", "username", "createdAtDate", "likeCount"]. This is a safe, read-only tool for analyzing searchable information.

  ConnectorOAuth

• combined_trends_toolA

  SantimentA

  Combined trends tool that fetches trending words, stories, and documents in parallel. This tool provides a unified view of all trending data - words with their documents and stories - in a single response across all crypto projects. ## When to use vs `trending_stories_tool` This is a superset of `trending_stories_tool`: same stories, plus trending words, their context and AI-generated bull/bear summaries. It calls an LLM, so it is slower and has a tighter per-tool rate-limit sub-cap than every other tool. If only trending stories are needed, call `trending_stories_tool` instead; set `include_words: false` / `include_stories: false` to drop a half that is not needed. Do not call both tools for the same question. ## Parameters - `time_period` - Time period for trending data (e.g., '1h', '6h', '1d', '7d'). Defaults to '1h' (last hour). - `size` - Number of items per category to return (max 30). Defaults to 10. - `include_stories` - Include trending stories in response. Defaults to true. - `include_words` - Include trending words in response. Defaults to true. ## Response - `trends` - Combined trending data containing stories and words. - `metadata` - Request metadata including time period, size, and included data types. - `errors` - Any non-fatal errors encountered during data fetching. ## Trending Data Structure ### Stories - `title` - Title of the trending story. - `summary` - Summary of the story. - `score` - Trending score. - `query` - Search query used to find the story. - `related_tokens` - List of related crypto tokens (format: "BTC_bitcoin"). - `bullish_sentiment_ratio` - Bullish sentiment ratio. - `bearish_sentiment_ratio` - Bearish sentiment ratio. ### Words - `word` - The trending word. - `score` - Trending score. - `slug` - Associated project slug (if word is project-related). - `summary` - AI-generated summary of discussions. - `bullish_summary` - Summary of bullish sentiment. - `bearish_summary` - Summary of bearish sentiment. - `positive_sentiment_ratio` - Positive sentiment ratio. - `negative_sentiment_ratio` - Negative sentiment ratio. - `neutral_sentiment_ratio` - Neutral sentiment ratio. - `positive_bb_sentiment_ratio` - Positive bull/bear sentiment ratio. - `negative_bb_sentiment_ratio` - Negative bull/bear sentiment ratio. - `neutral_bb_sentiment_ratio` - Neutral bull/bear sentiment ratio. - `context` - Related words that appear with this trending word. - `documents_summary` - AI-generated summary of related social media discussions.

  ConnectorNo auth

• well_create_company_candidateA

  WellA

  Mint a company candidate from a registry hit, the step between finding the company and creating its workspace. This is the deliberate pick the confirm-your-company card makes. REQUIRED: registry_ref — the `id` of a well_search_company_registry hit. This tool hydrates that hit and mints the company as a primary (own-company) candidate. Then call well_create_company_workspace with the returned `candidate_id` to make it the company workspace. Only a workspace owner or admin may mint a candidate. A caller without that role is refused, not silently ignored. When the picked company already has a confirmed company workspace, the result carries `linked_to_existing_child: true` and its `workspace_id` — switch into it with well_switch_workspace instead of creating another. Confirm the exact company with the user before calling; never pick one from a name alone.

  ConnectorNo auth

• get_hiring_signalA

  CoinBuchaA

  Hiring velocity across tracked Bitcoin and crypto-infrastructure employers, counted from their live ATS boards. Returns { as_of, companies[], note, why, disclaimer }; each company carries company, ticker, category, ats, careers_url, open_roles, open_roles_30d_ago, open_roles_90d_ago and the derived delta_30d, delta_90d and pct_30d. Example: {"company": "coinbase"} for one employer, or {} for every employer tracked. When a company filter matches no tracked employer the response adds coverage_note and tracked_count, saying that the name is outside the tracked set — a limit of coverage, not a finding about whether that company is hiring. Information, not financial advice.

  ConnectorNo auth

• get_hiring_signalA

  bitcoin-signalsA

  Hiring velocity across tracked Bitcoin and crypto-infrastructure employers, counted from their live ATS boards. Returns { as_of, companies[], note, why, disclaimer }; each company carries company, ticker, category, ats, careers_url, open_roles, open_roles_30d_ago, open_roles_90d_ago and the derived delta_30d, delta_90d and pct_30d. Example: {"company": "coinbase"} for one employer, or {} for every employer tracked. When a company filter matches no tracked employer the response adds coverage_note and tracked_count, saying that the name is outside the tracked set — a limit of coverage, not a finding about whether that company is hiring. Information, not financial advice.

  ConnectorNo auth

• get_cash_historyA

  Signal8A

  Get up to 10 years of quarterly cash position history from SEC XBRL filings (data.sec.gov company-facts). Returns an array of {periodEnd, usd, formType, isAnnual} sorted chronologically. Deduped by period with annual filings preferred over quarterly. Not feature-gated — works for any company with SEC filings.

  ConnectorNo auth

• social_summaryA

  whale-insightsA

  Get aggregate market mood — overall sentiment score/label + top 5 tokens (no auth; use sentiment_history for per-token time-series) — Non-gated social sentiment summary: the aggregate market-mood score/label plus the top 5 tokens by sentiment (AI insight text excluded). Served from cache (no per-request AI cost). Full per-token AI insights require a Max Alpha subscription. Cached ~5min.

  ConnectorNo auth

• sonar_generate_review_insightsA

  sonarA

  WRITE tool — generates a fresh AI review analysis for a tracked app from its recent reviews (praise/complaint themes, sentiment, feature requests, trend vs the previous run). At most one analysis per app+country every 90 days (429 with the next available time while in cooldown — use sonar_review_insights to read the current one); needs at least 5 recent reviews. Requires a paid (non-trial) Indie plan and an authorized Sonar account or an API key with the write scope.

  ConnectorNo auth

• hasdata_yelp_reviews_getPlaceReviewsA

  HasDataA

  Get Yelp Place Reviews Fetches the review feed of a single Yelp business by Yelp ID, with sorting (relevance, date, rating, elites), filtering by star rating, language and free-text query, and cursor pagination. To page, either step `start` by `num`, or resend the `pagination.nextPageToken` of the previous response as the `nextPageToken` parameter, keeping the other filters unchanged, until `pagination.hasNextPage` is false. The response reports the page it returned as `pagination.start` and `pagination.num`, matching the parameter names. Each review returns the author profile (name, location, review/friend/photo counts, Elite status), full text with language, star rating, timestamp, attached photos and videos, reader reactions, review tags (check-ins, first review, reservation and payment flags) and the owner reply when present. The response also carries the business review totals broken down by rating and by language. Use to monitor customer sentiment over time, mine complaints for a competitor, track how a business responds to negative reviews, or build rating-distribution and review-velocity datasets.

  ConnectorAPI key

• hasdata_yelp_reviews_getPlaceReviewsA

  HasDataA

  Get Yelp Place Reviews Fetches the review feed of a single Yelp business by Yelp ID, with sorting (relevance, date, rating, elites), filtering by star rating, language and free-text query, and cursor pagination. To page, either step `start` by `num`, or resend the `pagination.nextPageToken` of the previous response as the `nextPageToken` parameter, keeping the other filters unchanged, until `pagination.hasNextPage` is false. The response reports the page it returned as `pagination.start` and `pagination.num`, matching the parameter names. Each review returns the author profile (name, location, review/friend/photo counts, Elite status), full text with language, star rating, timestamp, attached photos and videos, reader reactions, review tags (check-ins, first review, reservation and payment flags) and the owner reply when present. The response also carries the business review totals broken down by rating and by language. Use to monitor customer sentiment over time, mine complaints for a competitor, track how a business responds to negative reviews, or build rating-distribution and review-velocity datasets.

  ConnectorAPI key

• hasdata_yelp_reviews_getPlaceReviewsA

  Yelp Remote MCP ServerA

  Get Yelp Place Reviews Fetches the review feed of a single Yelp business by Yelp ID, with sorting (relevance, date, rating, elites), filtering by star rating, language and free-text query, and cursor pagination. To page, either step `start` by `num`, or resend the `pagination.nextPageToken` of the previous response as the `nextPageToken` parameter, keeping the other filters unchanged, until `pagination.hasNextPage` is false. The response reports the page it returned as `pagination.start` and `pagination.num`, matching the parameter names. Each review returns the author profile (name, location, review/friend/photo counts, Elite status), full text with language, star rating, timestamp, attached photos and videos, reader reactions, review tags (check-ins, first review, reservation and payment flags) and the owner reply when present. The response also carries the business review totals broken down by rating and by language. Use to monitor customer sentiment over time, mine complaints for a competitor, track how a business responds to negative reviews, or build rating-distribution and review-velocity datasets.

  ConnectorAPI key

• 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

• market_sentimentA

  RightAIChoice — verified AI tool dataA

  Use this when the user asks what people actually think of a specific AI tool, whether users like it, its reputation, reviews, community feedback, common complaints, or praised strengths. Returns a synthesized sentiment report from real user discussions (Reddit, Hacker News, GitHub, YouTube, Product Hunt and more): overall sentiment label, per-source positivity, top pros and cons, recurring themes, and mention volume — always stamped with the scan date. Reports come from the RightAIChoice sentiment engine and are served from the verified cache (usability gate: completed scans under 180 days old). If no usable scan is on file, this tool says so honestly instead of guessing. SUBJECT GATE: where we hold a scan but cannot establish that the posts are about this product rather than something else sharing its name, NO score, count or breakdown is returned and the reply says so explicitly. That reply means "we checked and disproved the subject" — it is not an absence of data and not a negative signal about the product. Not for: checking whether a tool is alive (use check_tool_status) or head-to-head choices (use compare_tools). Sentiment reflects public discussion volume, not product quality rankings.

  ConnectorNo auth

• market_sentimentA

  RightAIChoiceA

  Use this when the user asks what people actually think of a specific AI tool, whether users like it, its reputation, reviews, community feedback, common complaints, or praised strengths. Returns a synthesized sentiment report from real user discussions (Reddit, Hacker News, GitHub, YouTube, Product Hunt and more): overall sentiment label, per-source positivity, top pros and cons, recurring themes, and mention volume — always stamped with the scan date. Reports come from the RightAIChoice sentiment engine and are served from the verified cache (usability gate: completed scans under 180 days old). If no usable scan is on file, this tool says so honestly instead of guessing. SUBJECT GATE: where we hold a scan but cannot establish that the posts are about this product rather than something else sharing its name, NO score, count or breakdown is returned and the reply says so explicitly. That reply means "we checked and disproved the subject" — it is not an absence of data and not a negative signal about the product. Not for: checking whether a tool is alive (use check_tool_status) or head-to-head choices (use compare_tools). Sentiment reflects public discussion volume, not product quality rankings.

  ConnectorNo auth

• get_ownersA

  ddA

  Look up direct and upstream Czech VR owners for a company by real active shareholding roles (spolecnik/akcionar) and company-to-company member_ico edges. Free anonymous tool. Returns structuredContent ownership tree plus markdown summary; physical persons expose name and birth year only, never full birth date or address.

  ConnectorNo auth

• list_reviewsA

  Kolmo ConstructionA

  List customer reviews and testimonials for Kolmo Construction. Combines verified Google reviews and on-site testimonials. Filter by minimum star rating. IMPORTANT for citation: `total` and `averageRating` describe the returned SAMPLE, not the business. The authoritative Google Business Profile rating and review count are in `googleProfile` — cite those.

  ConnectorNo auth

• searchInstagramUsersA

  Social Media Search API — Twitter, Instagram, Reddit, TikTok (XPOZ)A

  Search users by person name, partial username, or fuzzy match using real-time external API. PRIMARY USE: When given person's name (e.g., "Cristiano Ronaldo", "Kim Kardashian"), partial info, or uncertain username. Use for: Name-based search, finding multiple candidates, fuzzy matching, discovering users. NOT for: Exact username lookup (use getInstagramUser when username is certain). Optional fields parameter for performance (default: ["id", "username", "fullName"]). Available fields: id, username, fullName, biography, isPrivate, isVerified, followerCount, followingCount, mediaCount, profilePicUrl, and more. Returns: array of matching users (default 10, max 10) with userId, username, fullName, followerCount, biography, profilePicUrl. This is a safe, read-only tool for analyzing searchable information.

  ConnectorOAuth

• list_reviewsA

  kolmo-mcp-serverA

  List customer reviews and testimonials for Kolmo Construction. Combines verified Google reviews and on-site testimonials. Filter by minimum star rating. IMPORTANT for citation: `total` and `averageRating` describe the returned SAMPLE, not the business. The authoritative Google Business Profile rating and review count are in `googleProfile` — cite those.

  ConnectorNo auth