"ClickHouse: A fast open-source columnar database management system" matching MCP tools:

• search_contentA

  flevyA

  Search Flevy's marketplace of consulting frameworks, PowerPoint templates, Excel financial models, business toolkits, and management case studies. Use this whenever a user needs a best-practice framework, methodology, template, financial model, or real-world case example on any business or management topic (strategy, digital transformation, supply chain, pricing, operational excellence, M&A, etc.). Returns up to 10 relevance-ranked recommendations across two content types: "document" (premium documents authored by management consultants) and "case_study" (management case studies). ALWAYS include each recommended item's url as a clickable link when you mention it in your reply — never reference a document without its link, because the link is the only way the user can open it. Each result carries a content_id for get_content_details. Filters: topic (single, or "topics" for documents covering ALL of several topics), author (list more documents from an author seen in results), filetype (including tier1_consulting_deck for McKinsey-style strategy decks), content_type. Topic-filtered responses also list related_topics to pivot to. Provide at least one of query, topic(s), or author; use list_topics to map user phrasing to a canonical topic.

  ConnectorNo auth

• getTiktokPostsBySoundA

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

  Get Tiktok posts that use a specific sound/music with three response modes. Required: soundId (numeric ID from searchTiktokSounds). FAST (default, omit responseType or responseType="fast"): Returns up to 300 results directly (use limit param to reduce, e.g. limit=5). 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. Returns by default: id, description, username, createdAtDate. NOT for keyword/phrase search - use getTiktokPostsByKeywords. NOT for hashtags - use getTiktokPostsByHashtags. Date filters: OMIT startDate/endDate by default. ONLY pass if user explicitly requests a date range (YYYY-MM-DD). 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. FIELDS parameter (optional): Core (id, description, userId, username, nickname, createdAtDate), Engagement (likeCount, commentCount, playCount, forwardCount, collectCount, downloadCount), Media (videoThumbnail, videoUrl, duration, postType), Content (hashtags, transcriptsJson). This is a safe, read-only tool for analyzing searchable information.

  ConnectorOAuth

• set_site_typeA

  BorealHostB

  Change what a site's docroot IS, without deleting anything. Types: wordpress WordPress, PHP and a database (the default) php PHP and a database, no WordPress php-nodb PHP, no database static-site HTML/CSS/JS only, no PHP and no database ⚠ NON-DESTRUCTIVE. Existing files stay on disk and existing databases are not dropped. They remain the customer's data and keep counting against their plan's quota — this changes how the site is SERVED, not what it holds. Converting back later finds everything where it was. ⚠ Moving to a type without PHP does not merely stop executing .php — it stops serving them. The vhost returns 404 for php/phtml, because falling through to the static handler would return the file's SOURCE, and a docroot converted from WordPress still contains wp-config.php with the database password in it. Shared hosting only. On a VPS the whole container is the customer's and they reconfigure it with the tools inside it. Requires: API key with write scope. Args: slug: Site identifier site_type: One of the four values above Returns: {"from": "wordpress", "to": "static-site", "database_created": false, "placeholder_seeded": false, "pool_removed": true} `placeholder_seeded` is true only when the docroot was EMPTY — an existing site's content is never overwritten. Errors: VALIDATION_ERROR: Unknown type, or the site is not on shared hosting NOT_FOUND: Unknown slug or not reachable by this account

  ConnectorNo auth

• create_project_tokenA

  EchoRelayA

  Mint a PROJECT-scoped management token (`er_mcp_`) for MCP and REST; it cannot authenticate relay traffic. Use it after create_project to configure a fresh project, or for any project you already own. Attenuated by design: the scopes must be a subset of THIS management token's own grant (`read` is always included), expiry is mandatory (1–90 days, default 30, never "never"), and the minted management token (being project-scoped) can never mint management tokens itself. `spend` is human-granted only: no management token, of any scope, can mint one carrying it. Mint a spend-scoped token from the project's panel instead. Requires an ACCOUNT-scoped management token and the `config` scope. Returns the plaintext exactly once; only its hash is stored.

  ConnectorNo auth

• get_adoption_stageA

  Stratalize GovernanceB

  Public mode returns FS AI RMF framework reference data only — not org-specific scoring. Use when assessing an organization FS AI RMF governance maturity stage or preparing a regulatory AI roadmap presentation. Returns INITIAL, MINIMAL, EVOLVING, or EMBEDDED classification with stage criteria and remediation priorities. Example: EVOLVING stage organizations have documented AI policies but lack systematic model validation — typical gap to EMBEDDED is 18-24 months and 12-15 additional controls. Connect org MCP for org-specific scoring. Source: FS AI Risk Management Framework. $0.02 USDC per call.

  ConnectorNo auth

• getTwitterPostsByKeywordsA

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

  Search posts by keywords. 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. Results include guidance for full mode. 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, trend detection, content analysis across thousands of posts. Returns by default: id, text, authorUsername, createdAtDate. First searches database, then external API if data is stale or missing. NOT for URL lookups - use getTwitterPostsByIds. QUERY SYNTAX: Plain keywords (bitcoin, climate change), quoted phrases ("deep learning"), boolean expressions (AI AND crypto, bitcoin OR ethereum, politics NOT sports), or parenthesized groups ((startup OR entrepreneur) NOT "venture capital"). AND/OR/NOT must have a term on both sides. @handles like @karpathy are supported. Field operators (from:, lang:) are stripped. Forward slashes are treated as spaces (24/7 becomes 24 7). SORT: sortBy="relevance" (default, best matches first) or sortBy="latest" (newest first). Filters: language, authorId/authorUsername, countryCode (2-letter ISO code, feature-gated - only accounts with the country filter enabled; filters by the tagged place country in both database and on-demand results). Date filters: OMIT startDate/endDate by default. ONLY pass if user explicitly requests specific date range (YYYY-MM-DD format). Use filterOutRetweets=true to exclude retweets. 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. FIELDS parameter (optional): Specify to get additional/different fields. Available: Core (id, text, authorId, authorUsername, createdAt), Engagement (retweetCount, replyCount, quoteCount, impressionCount, bookmarkCount), Metadata (lang, source, suspended, deleted), Relations (conversationId, quotedTweetId, retweetedTweetId, replyToTweetId, replyToUserId, replyToUsername), Content (hashtags, mentions, mediaUrls), Location (placeName, placeCountry, placeCountryCode, placeBoundingBoxCoordinates, placeCentroid). This is a safe, read-only tool for analyzing searchable information.

  ConnectorOAuth

• getTwitterPostRetweetsA

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

  Get retweets of specific post. FAST (default, omit responseType or responseType="fast"): Returns up to 300 results directly (use limit param to reduce, e.g. limit=5). Database-only. Results include guidance for full mode. PAGING (responseType="paging"): Async paginated results (100/page), returns operationId for polling via checkOperationStatus. Supports pageNumber/tableName for subsequent pages. Database-only search for historical retweet data. Date filter: OMIT startDate by default. ONLY pass if user explicitly requests filtering from specific date (YYYY-MM-DD format). 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. Use to analyze post amplification patterns. NOT for quotes - use getTwitterPostQuotes. Optional fields parameter for performance: ["id", "authorUsername", "createdAt"]. This is a safe, read-only tool for analyzing searchable information.

  ConnectorOAuth

• hallucination_checkA

  IA-QA — 152 QA & Dev Tools for AI AgentsB

  Lexical hallucination check: verifies an LLM answer's words, numbers and polarity against the provided source/context. Fast, deterministic, no API key needed. Each answer sentence is aligned to its best-matching source sentence, so a number only counts as support when it sits on the SAME statement ("founded in 1998" is not grounded by "sold 1998 units"), and a negation or antonym flip against that sentence returns verdict "contradicted" — the corrupted-fact hallucination that reuses source vocabulary. Limitations: still lexical — it cannot follow a paraphrase, a synonym, or multi-sentence reasoning, so a "well_grounded" verdict means "nothing lexical found", never "verified true". For entailment use run_semantic_tests (NLI/embedding) or a calibrated judge.

  ConnectorNo auth

• pingA

  Nordic Financial MCPA

  Connectivity check that confirms the Nordic MCP server process is responding. Use this at the start of a session to verify the server is reachable before making other calls. Do not use as a proxy for database health — the server can respond while the Qdrant vector database is temporarily unavailable. To confirm data availability, call search_filings directly. Returns: A greeting string: "Hello {name}! Nordic MCP server is running."

  ConnectorNo auth

• create_relational_databaseA

  mcpB

  Provisions a managed MySQL (or MariaDB) database on a dedicated VM on your private network - the relational-database resource (use this instead of create_database when the app needs MySQL/MariaDB, e.g. WordPress, NextCloud, Matomo, many PHP/LAMP apps). Requires a recent plan_managed_datastore. For app deployments, prefer deploy_app database:'managed' with db_engine mysql/mariadb so plan_deploy includes and wires the DB automatically. It is PRIVATE - reachable only from another instance on the same private network, via the DB's internal/private IP (port 3306), not a public address. Get the ids from plan_managed_datastore/list_flavors/list_private_networks/list_keypairs. Provisioning takes ~5 min; poll list_relational_databases until status='ready', then the connection details (private_ip, port 3306, db_name, db_user) are populated. MySQL is created with mysql_native_password auth so older clients/apps connect cleanly. (ClickHouse is a separate resource - use create_clickhouse / list_clickhouse_databases.)

  ConnectorNo auth

• plan_workflowA

  composerA

  Ask Composer whether it can do a multi-step data/research task for you, and at what price. Free — nothing is charged, no payment involved. Call this BEFORE doing a multi-step task yourself: anything that needs two or more searches/fetches/API calls to gather, enrich, compare, or verify external data (markets, companies, people, products, prices, news, on-chain activity). Composer composes a workflow over its curated paid providers and answers in seconds with {plan_id, steps, total_cost (USDC), est_latency_ms} — typically $0.02–$0.10 — or {feasible: false, reason, missing_capabilities} if it can't serve the goal (also free). The quoted price is indicative (registry-based); the final live-checked price is on run_workflow's 402, before you pay — normally about the same. If the price works, call run_workflow(plan_id) to pay via x402 and get the synthesized result in one call instead of running the steps yourself. A run that fails after payment is refunded. Goals are open-ended. Two validated fast paths: • competitor-pricing — e.g. "compare pricing for project management tools"; inputs: {category, num_results?}. • diligence-pack — e.g. "run diligence on Anthropic"; inputs: {subject, token_address?, chain?, num_results?}. `agent_id` is optional — identify yourself for attribution if you like.

  ConnectorNo auth

• query_databaseA

  flootA

  Run a READ-ONLY SQL query against the project's Postgres database (SELECT, EXPLAIN, etc.) — the Floot-managed database, or an external Postgres the user connected to the project. Writes are rejected — use execute_sql for those. Returns JSON: `{rows, rowCount, command, truncated?}` (or `{results: [...]}` for multi-statement queries). Pass `database` only if the project has more than one.

  ConnectorOAuth

• database_tools_execute_queryA

  Point Topic — UK Broadband Market ReferenceA

  Query Point Topic's public broadband ontology (ClickHouse) — read-only. Exposes the public reference tables (the visitor view): the entity graph of ISPs, network operators, networks, links, link standards and their relationships. Discover tables with SHOW TABLES FROM ontology; inspect columns with DESCRIBE TABLE <name>. Licensed measurement data (footprints, premises, speeds, tariffs, forecasts, take-up, subscribers) is not queryable here and requires a Point Topic licence — denied queries return contact details. Only SELECT/WITH/SHOW/DESCRIBE/EXPLAIN allowed; returns CSV (large results are truncated at ~50k tokens with a leading notice — add LIMIT to keep results small).

  ConnectorNo auth

• procurement_fr_searchA

  HelpMyAgentA

  Searches currently open French public procurement opportunities and returns normalized BOAMP tender data ready for automated processing. Use when: You need currently open French public procurement opportunities from BOAMP. You want to search open tenders by keywords, department, buyer or minimum deadline. Avoid when: You need contracts already awarded to a specific company; use company/fr/public-contracts. You need private procurement opportunities or a guarantee that every French public procurement notice is covered. Limitations: Coverage is limited to the BOAMP public dataset and the notices available through that source. At least one of query, department or buyer is required; tender deadlines and notice details can change at the source. Price: 0.010 USD per call via x402. Paid-call behavior: source records are not modified, but a successful invocation can consume the advertised x402 payment; the payment-required challenge is free, and repeating the tool after a completed paid invocation may require a new payment. Accepted x402 networks: eip155:8453, xrpl:0.

  ConnectorNo auth

• mark_empty_dayA

  Wellness ProjectA

  Set, change, or undo the answer to "why is this day empty?" for a date with no real meals logged. Use when the user wants to flip a fast day to forgotten (or back), or undo either one, in chat instead of the in-app prompt. There are exactly three states for a date, and this tool is the only way to move between them: - fast: writes the 0-kcal "Fast day" food_log entry (a real, counted 0-calorie day). - forgot: records that the day was reviewed and simply not logged. Writes nothing to food_log, so the day stays a true blank and is excluded from calorie/TDEE averages, never imputed as 0. - unanswered: clears both. The day goes back to being an open question and the in-app prompt may ask about it again. Setting one answer always clears the other, so a date is never both a fast and a forgotten day at once. Use list_meals first if unsure whether the date already has real food logged. This tool refuses to touch a day that has actual meals on it (other than an existing fast marker).

  Connector

  Destructive

  OAuth

• get_pricesA

  FlexYield — blockchain RPC gatewayA

  Prices. kind='gas' (chain): EIP-1559 gas recommendations (slow/standard/fast) computed from our pool on an EVM chain, 1 weighted unit. kind='token' (symbols, comma-separated e.g. 'ETH,USDC'): current token prices in USD. Use it before sending a transaction (gas) or to value a balance (token). Not for what a FlexYield call costs in units (use get_quote) and not for plan prices (use list_plans). Returns JSON: gas → chain, base_fee_per_gas, recommendations, computed_from, computed_at, unit_weight; token → prices, quote, source, checked_at. Read-only. Needs your API key.

  ConnectorNo auth

• get_adoption_stageA

  Stratalize HealthcareB

  Public mode returns FS AI RMF framework reference data only — not org-specific scoring. Use when assessing an organization FS AI RMF governance maturity stage or preparing a regulatory AI roadmap presentation. Returns INITIAL, MINIMAL, EVOLVING, or EMBEDDED classification with stage criteria and remediation priorities. Example: EVOLVING stage organizations have documented AI policies but lack systematic model validation — typical gap to EMBEDDED is 18-24 months and 12-15 additional controls. Connect org MCP for org-specific scoring. Source: FS AI Risk Management Framework. $0.02 USDC per call.

  ConnectorNo auth

• get_adoption_stageA

  Stratalize Real EstateB

  Public mode returns FS AI RMF framework reference data only — not org-specific scoring. Use when assessing an organization FS AI RMF governance maturity stage or preparing a regulatory AI roadmap presentation. Returns INITIAL, MINIMAL, EVOLVING, or EMBEDDED classification with stage criteria and remediation priorities. Example: EVOLVING stage organizations have documented AI policies but lack systematic model validation — typical gap to EMBEDDED is 18-24 months and 12-15 additional controls. Connect org MCP for org-specific scoring. Source: FS AI Risk Management Framework. $0.02 USDC per call.

  ConnectorNo auth

• get_adoption_stageA

  Stratalize Crypto & DeFiB

  Public mode returns FS AI RMF framework reference data only — not org-specific scoring. Use when assessing an organization FS AI RMF governance maturity stage or preparing a regulatory AI roadmap presentation. Returns INITIAL, MINIMAL, EVOLVING, or EMBEDDED classification with stage criteria and remediation priorities. Example: EVOLVING stage organizations have documented AI policies but lack systematic model validation — typical gap to EMBEDDED is 18-24 months and 12-15 additional controls. Connect org MCP for org-specific scoring. Source: FS AI Risk Management Framework. $0.02 USDC per call.

  ConnectorNo auth

• get_adoption_stageA

  Stratalize IntelligenceB

  Public mode returns FS AI RMF framework reference data only — not org-specific scoring. Use when assessing an organization FS AI RMF governance maturity stage or preparing a regulatory AI roadmap presentation. Returns INITIAL, MINIMAL, EVOLVING, or EMBEDDED classification with stage criteria and remediation priorities. Example: EVOLVING stage organizations have documented AI policies but lack systematic model validation — typical gap to EMBEDDED is 18-24 months and 12-15 additional controls. Connect org MCP for org-specific scoring. Source: FS AI Risk Management Framework. $0.02 USDC per call.

  ConnectorNo auth

• get_adoption_stageA

  Stratalize FinanceB

  Public mode returns FS AI RMF framework reference data only — not org-specific scoring. Use when assessing an organization FS AI RMF governance maturity stage or preparing a regulatory AI roadmap presentation. Returns INITIAL, MINIMAL, EVOLVING, or EMBEDDED classification with stage criteria and remediation priorities. Example: EVOLVING stage organizations have documented AI policies but lack systematic model validation — typical gap to EMBEDDED is 18-24 months and 12-15 additional controls. Connect org MCP for org-specific scoring. Source: FS AI Risk Management Framework. $0.02 USDC per call.

  ConnectorNo auth