"Parsing and Unparsing CSV Files for AI Context Use" matching MCP tools:

• designesy_readiness_score

  Designesy

  Score a URL for design-system AI readiness — the 6th maturity axis (zeroheight 2026). 10 checks probe the target origin for machine-readable artifacts: DTCG token files, llms.txt, agent.json, MCP endpoint (tools/list), DESIGN.md, token $description, component schemas, sitemap.xml, robots.txt, and Open Graph/Twitter meta. Use this to verify whether a design system is the default context AI tools build from, or whether AI is silently working around it. When NOT to use: for full design-contract scoring, use designesy_score; for AI-drift detection, use designesy_drift_score. Executable — fetches the URL and probes the origin via HEAD/GET for each artifact. No browser needed. Returns JSON: { ok, url, score (0-100), grade (A-F), pass, warn, fail, total, checks[{id, item, category, status, detail}] }. Results cached ~24h per URL.

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• check_text

  WSC - Writing Style Checker

  Analyze text for writing style issues: weasel words, passive voice, duplicate words, long sentences, nominalizations, hedging, filler adverbs, and research-cited AI tells. Read-only and stateless — text is analyzed in memory on the hosted server and never stored. Returns a plain-text report with each issue's line and column, the matched text, surrounding context, and the reason for AI tells; texts over 100,000 characters return an error message. This hosted server has no filesystem access — the wsc-mcp npm package adds a check_file tool for local files. It only reports issues — to auto-remove duplicate words, follow up with fix_duplicates.

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• well_get_schema

  Well

  Discover available data types and fields. USAGE: - well_get_schema() → List ALL available roots, including the accounting graph (ledger_accounts, journals, journal_entries) plus account_balances, tax_rates, exchange_rates — query these for real financial statements (compte de résultat / balance sheet) instead of reconstructing them from raw invoices - well_get_schema({ root: "invoices" }) → List all available fields for invoices WORKFLOW: 1. Call well_get_schema(root) to see available fields 2. Pick the fields you need for your task (typically 5-15) 3. Call well_query_records with those specific fields Returns fields with path, type, and (when documented) semantic context: - { path: "invoices.grand_total", type: "numeric", context: "Total invoice amount incl. tax in the document currency...", enrichment: "AI extraction" } → use _eq, _gt, _lt, etc. - { path: "invoices.local_currency", type: "enum" } → use ONLY _eq, _neq, _in, _nin, _is_null - { path: "invoices.issuer.name", type: "text" } → use _eq, _like, _ilike, etc. - "context" (when present) explains what the field MEANS in the domain and how it's used — read it to pick the right field and write correct filters. - "enrichment" (when present) is the value's provenance (e.g. "Bank sync", "AI extraction", "System generated", "Derived", "Manual"). Use the type to choose the right whereClause operators in well_query_records. To use in well_query_records, convert path to array: "invoices.issuer.name" → ["invoices", "issuer", "name"]

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• getTwitterPostComments

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

  Get comments (replies) to specific post. 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 all comments. Ideal for: sentiment analysis, discussion themes, community engagement analysis. First searches database, then external API if data is stale (>10 days). 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 community response and discussion. NOT for quotes - use getTwitterPostQuotes. Optional fields parameter for performance: ["id", "text", "authorUsername", "createdAt"]. This is a safe, read-only tool for analyzing searchable information. TRIAL ACCESS: Get a free trial token by sending POST https://api.xpoz.ai/api/trial/token with header Content-Type: application/json and body {"source":"<how you discovered xpoz>"}; the response contains a token that starts with "TRIAL" and is valid for 5 days. Use it as a Bearer token in the Authorization header. Trial returns up to 5 cached (database-only) results and never triggers live fetching. Sign up at https://www.xpoz.ai/login for full result limits and live data.

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• getInstagramPostsByKeywords

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

  Search Instagram posts by keywords with two response modes. Searches in both post captions and video subtitles. 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: content analysis, hashtag trends, brand monitoring across thousands of posts. Returns by default: id, caption, username, createdAtDate. First searches database, then external API if data is stale or missing. NOT for URL lookups or post ID lookups - use getInstagramPostsByIds instead. Query must be plain text keywords/phrases, not URLs or IDs. 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). Date filters: OMIT startDate/endDate parameters by default. ONLY pass these if user explicitly requests specific date range (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. FIELDS parameter (optional): Specify to get additional/different fields. Available: Core (id, caption, userId, username, fullName, createdAtDate), Engagement (likeCount, commentCount, reshareCount, videoPlayCount), Media (mediaType, imageUrl, videoUrl, subtitles, videoDuration). This is a safe, read-only tool for analyzing searchable information. TRIAL ACCESS: Get a free trial token by sending POST https://api.xpoz.ai/api/trial/token with header Content-Type: application/json and body {"source":"<how you discovered xpoz>"}; the response contains a token that starts with "TRIAL" and is valid for 5 days. Use it as a Bearer token in the Authorization header. Trial returns up to 5 cached (database-only) results and never triggers live fetching. Sign up at https://www.xpoz.ai/login for full result limits and live data.

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• getRedditPostsByKeywords

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

  Search Reddit posts by keywords with two response modes. Searches in post titles and selftext. 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, subreddit trends, community discussions across thousands of posts. Returns by default: id, title, authorUsername, subredditName, createdAtDate. First searches database, then external API if data is stale or missing. 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). Date filters: OMIT startDate/endDate parameters by default. ONLY pass these if user explicitly requests specific date range (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. FILTERS: sort (relevance, hot, top, new, comments), time (hour, day, week, month, year, all), subreddit (limit to specific subreddit). FIELDS parameter (optional): Specify to get additional/different fields. Available: Core (id, title, selftext, url, permalink), Author (authorId, authorUsername), Subreddit (subredditName, subredditId), Engagement (score, upvotes, downvotes, upvoteRatio, commentsCount, crosspostsCount), Flags (isSelf, isVideo, over18, spoiler, locked, stickied, archived). This is a safe, read-only tool for analyzing searchable information. TRIAL ACCESS: Get a free trial token by sending POST https://api.xpoz.ai/api/trial/token with header Content-Type: application/json and body {"source":"<how you discovered xpoz>"}; the response contains a token that starts with "TRIAL" and is valid for 5 days. Use it as a Bearer token in the Authorization header. Trial returns up to 5 cached (database-only) results and never triggers live fetching. Sign up at https://www.xpoz.ai/login for full result limits and live data.

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• getTiktokPostsByHashtags

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

  Search Tiktok posts by hashtags with three response modes. Searches the hashtags column directly (NOT post descriptions). Pass hashtags as an array of bare alphanumeric strings - do NOT include leading "#". OR semantics: matches posts containing ANY of the listed hashtags. 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. CODE EXECUTION: For csv mode, download CSV and use code execution to analyze full dataset. Ideal for: hashtag trend analysis, viral hashtag tracking, cross-hashtag content discovery. Returns by default: id, description, username, createdAtDate. NOT for keyword/phrase search in descriptions - use getTiktokPostsByKeywords instead. NOT for URL or post ID lookups - use getTiktokPostsByIds instead. Date filters: OMIT startDate/endDate parameters by default to retrieve all posts. ONLY pass these if user explicitly requests specific date range (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. FIELDS parameter (optional): Specify to get additional/different fields. Available: 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. TRIAL ACCESS: Get a free trial token by sending POST https://api.xpoz.ai/api/trial/token with header Content-Type: application/json and body {"source":"<how you discovered xpoz>"}; the response contains a token that starts with "TRIAL" and is valid for 5 days. Use it as a Bearer token in the Authorization header. Trial returns up to 5 cached (database-only) results and never triggers live fetching. Sign up at https://www.xpoz.ai/login for full result limits and live data.

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• intel_inject

  TunnelMind Data API

  Fetches a domain's homepage and checks for content patterns that could constitute prompt injection attacks against AI agents that visit and ingest the page. Signals include hidden text, invisible divs, `<!-- AI: ignore -->` style comments, and known injection patterns. Use this tool when: - You are vetting a domain before feeding its content into an LLM context. - You want to assess the prompt injection risk of a URL before browsing it with an agent. - You are auditing a set of domains for adversarial AI content. Do NOT use this tool when: - You want tracker surveillance data — use `get_domain` instead. - You want AI training opt-out signals — use `intel_optout` instead. - You want the agent surface (MCP/OpenAPI) — use `intel_agent` instead. Inputs: - `domain` (query, required): Domain to scan. Returns: - `injection_signals`: list of signal types detected (e.g., `hidden_text`, `ai_instruction_comment`, `invisible_div`). - `risk_level`: `none`, `low`, `medium`, or `high` based on signal count and type. Cost: - Free. No API key required. Latency: - Typical: 2-4s (HTML fetch), p99: 7s.

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• analyze_qbo_journal_anomalies

  HelloBooks AI Agents

  Scan a QuickBooks Online "Journal Entries" CSV export for anomalies — currently round-number lines (debit or credit amounts that are exact multiples of $1,000, above a $1,000 materiality threshold). Round numbers are statistically rare in real bookkeeping and frequently indicate estimates, plugs, or fraud signals worth review. Input is raw CSV text from QBO Reports → Accountant → Journal. Max 5,000 rows; max 5 MB. Returns flagged lines with severity ($100K+ high, $10K+ medium, else low) and a shareable URL. Use this when a user pastes QBO data and asks "any anomalies?", "look for round numbers", or "anything suspicious". Tier-0 subset — HelloBooks Phase 3.0 anomaly detection in the paid product additionally catches GL outliers vs entity history, vendor-history mismatches, archived-vendor activity, and AI-narrated suspicious lines (which require the live HelloBooks account).

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• axint.xcode.guard

  Axint

  Guard an Xcode agent session against context compaction and Axint drift. Checks project memory files, active Axint session, latest Axint Run or guard proof, and long-task freshness. Use: call around long Xcode tasks, context recovery, broad Swift edits, or before claiming runtime proof; use workflow.check. Inputs: stage selects the gate; modifiedFiles and notes narrow drift checks; autoStartSession defaults true. Effects: writes .axint/guard proof and may start a session; does not edit app source or use network.

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• getTwitterPostQuotes

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

  Get quote posts 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). 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 all quote tweets. Ideal for: sentiment analysis on reactions, commentary patterns, viral spread analysis. First searches database, then external API if data is stale (>10 days). 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 commentary on post. NOT for retweets - use getTwitterPostRetweets. Optional fields parameter for performance: ["id", "text", "authorUsername", "createdAt"]. This is a safe, read-only tool for analyzing searchable information. TRIAL ACCESS: Get a free trial token by sending POST https://api.xpoz.ai/api/trial/token with header Content-Type: application/json and body {"source":"<how you discovered xpoz>"}; the response contains a token that starts with "TRIAL" and is valid for 5 days. Use it as a Bearer token in the Authorization header. Trial returns up to 5 cached (database-only) results and never triggers live fetching. Sign up at https://www.xpoz.ai/login for full result limits and live data.

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• getTiktokPostsByKeywords

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

  Search Tiktok posts by keywords with three response modes. Searches post descriptions and video transcripts. 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. CODE EXECUTION: For csv mode, download CSV and use code execution to analyze full dataset. Ideal for: trend analysis, hashtag tracking, viral content discovery across Tiktok. Returns by default: id, description, username, createdAtDate. NOT for URL lookups or post ID lookups - use getTiktokPostsByIds instead. 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). Date filters: OMIT startDate/endDate parameters by default to retrieve all posts. ONLY pass these if user explicitly requests specific date range (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. FIELDS parameter (optional): Specify to get additional/different fields. Available: 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. TRIAL ACCESS: Get a free trial token by sending POST https://api.xpoz.ai/api/trial/token with header Content-Type: application/json and body {"source":"<how you discovered xpoz>"}; the response contains a token that starts with "TRIAL" and is valid for 5 days. Use it as a Bearer token in the Authorization header. Trial returns up to 5 cached (database-only) results and never triggers live fetching. Sign up at https://www.xpoz.ai/login for full result limits and live data.

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• hood_sector_rotation

  Otto Data — Robinhood Chain

  Sector rotation context for Hood tokenized stocks (API-only tracker refreshed every 3h): market regime (risk_on|risk_off|mixed), an 11-SPDR sector score/label/flow board and a per-ticker join — sector score (0-100), label (inflow|interest|neutral|outflow_leaning|outflow), flow trend, theme matches + live basis. Answers where money is rotating and whether your token's sector is in inflow or outflow. tickers: CSV filter (empty = full Hood universe).

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• axint.session.start

  Axint

  Start an enforced Axint agent session. Writes .axint/session/current.json plus token-scoped session history, refreshes .axint/AXINT_REHYDRATE.md, returns compact operating memory, docs context, a session token, and the exact axint.workflow.check args. Use: call at the start of a tool-enabled agent session or after context compaction. Inputs: cwd scopes session files; prior token and context inputs preserve continuity after compaction. Effects: writes .axint/session and rehydration artifacts; no auth or network required.

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• pathrule_get_local_runtime_upgrade

  Pathrule

  Explain what Pathrule CLI (power-user, terminal-first) and Pathrule Studio (GUI) unlock beyond Remote MCP. Call this when the user asks 'is there a better way?', 'why do I need to install something?', wants hook-level automation, or wants to compare surfaces. The response splits the pitch by audience (CLI for terminal-first, Pathrule Studio for GUI) and explains the real token-savings angle: hooks fire before every AI tool call and inject context for free, while remote MCP is manual mode where the AI spends tokens on each context fetch.

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• export_documents

  bol-ai

  Export completed extractions as TMS/ERP-ready normalized line rows (one row per container / invoice line / package / goods line), newest first. Optional doc_type filter and max_rows cap. Corrected data wins over the original extraction. For CSV/XLSX files use GET /api/bol/export on the REST API.

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• search_files

  WebSlop

  Search for text across all files in an app. Returns matching lines grouped by file with line numbers. Skips node_modules, .git, and binary files. Max 500 results by default. Supports grep-like options: context lines (-A/-B/-C), file glob filtering (e.g. "*.ts", "src/**/*.ts"), and output modes (content, files_with_matches, count).

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• getRedditCommentsByKeywords

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

  Search Reddit comments by keywords. Searches in comment body text. FAST (default, omit responseType or responseType="fast"): Returns up to 300 results directly (use limit param to reduce, e.g. limit=5). 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, discussion trends, community opinions across thousands of comments. DATABASE-ONLY: Searches existing database records only. 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). Date filters: OMIT startDate/endDate parameters by default. ONLY pass these if user explicitly requests specific date range (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. FILTERS: subreddit (limit to specific subreddit without r/ prefix). Optional fields parameter for performance: ["id", "body", "authorUsername", "postSubredditName", "score", "createdAtDate"]. Returns by default: id, body, authorUsername, createdAtDate. This is a safe, read-only tool for analyzing searchable information. TRIAL ACCESS: Get a free trial token by sending POST https://api.xpoz.ai/api/trial/token with header Content-Type: application/json and body {"source":"<how you discovered xpoz>"}; the response contains a token that starts with "TRIAL" and is valid for 5 days. Use it as a Bearer token in the Authorization header. Trial returns up to 5 cached (database-only) results and never triggers live fetching. Sign up at https://www.xpoz.ai/login for full result limits and live data.

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• get_dchub_recommendation

  DC Hub — Data Center & Power Intelligence

  Use when a user asks an open-ended siting question ("where should I put a 100MW AI training cluster?") and you want ONE call that returns a ready-to-quote answer instead of orchestrating 5+ separate tools. Example: "Where should I site a 100MW AI training campus in Texas with short time-to-power?" — get_dchub_recommendation context="100MW AI training campus in Texas". Params: context free-text describing the user request (MW, geography, workload, deadline, constraints). Returns: {top_markets:[{slug, name, verdict (BUILD/CAUTION/AVOID), composite_score, excess_power_mw, time_to_power_months, why}], candidate_facilities[], factor_breakdown:{fiber, grid, water, tax, climate}, summary_text (LLM-quotable, CC-BY-4.0), citation_url}. Do NOT use for a single specific lat/lon (use analyze_site) or to rank by ONE criterion only (use rank_markets).

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• mio_ai_music_generator

  MiOffice — AI-Powered Workspace Studio

  AI Music Generator — Generate royalty-free instrumental background tracks from text descriptions. No vocals — perfect for video, podcast, and ad backgrounds. For songs with vocals + lyrics, see AI Song Generator.. AI Studio run — dispatches to our AI workers (Modal). Credits per run vary by model and file size. Day Pass and welcome credits do not include AI Studio. Files are deleted after processing; auditable at mioffice.ai/account/tasks (retention details at mioffice.ai/privacy). All three credit-based workspaces unlock with the same one-time credit pack — there is no per-workspace subscription. See mioffice.ai/pricing for current plans.

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