538,315 tools. Updated 2026-09-09 05:23
"Techniques and Tools for Data Analysis, Exploration, and Working with Parquet and CSV Files" matching MCP tools:
- Use this when you need to convert tabular data between JSON (array of objects), CSV, TSV, and XML instead of hand-transforming it. Deterministic: same input, same output. Handles quoted CSV fields (embedded commas, escaped "" quotes), flattens nested objects into dotted keys (b.x), and takes the union of keys across all rows so ragged data still lines up in columns. CSV/TSV input needs a header row plus at least one data row; JSON input must be an array of objects. Example: {from:'csv', to:'json'} on "name,age\nAda,36\nGrace,45" -> rowCount 2 and an output JSON array of two objects. Returns the input/output formats, the parsed row count, and the serialized output document as a string.ConnectorNo auth
- Searches the ILOSTAT labour statistics (≈1,200 SDMX dataflows: employment, unemployment, wages, working time, informality, SDG labour indicators) catalog and returns up to 10 matching documents as { id, title, url }, ordered by relevance (an empty list means nothing matched). This tool exists for the OpenAI Deep Research contract: ChatGPT deep research, company knowledge and research workflows over the Responses API require exactly the tools `search` and `fetch`. Pass one of the returned ids to `fetch` to read the document. For direct questions and for data (values, series, rankings) prefer the `ilo_*` tools, which return the actual data with provenance — this is a catalog index, not a data query. Query: natural language or keywords, Portuguese or English; accents and case are ignored. Behavior: read-only and idempotent — the catalog comes from the public source and is cached in memory.ConnectorNo auth
- Turn CSV text into a GitHub-style Markdown table. Detects the delimiter (comma, semicolon, tab or pipe) unless told, reads quoted fields with embedded delimiters and newlines, and can align columns and pad cells so the table lines up in plain text. Arguments: csv, delimiter?, firstRowHeader?, padded?, alignment?. Same result as POST /api/v1/tools/csv-to-markdown.ConnectorNo auth
- Upload data to work on. This hosted endpoint has no filesystem, so instead of a file path you send the data once with sheet_load and then pass its name as `path` to sheet_info, sheet_read, sheet_query, sheet_stats, sheet_find, sheet_add_column, sheet_convert and sheet_write. Give exactly one of csv (raw text, comma or tab separated), xlsx_base64 (a base64-encoded .xlsx workbook) or url. url: fetch a public file instead of pasting base64 (recommended above about 10 KB): the url is fetched here with a 10 second timeout, at most 3 redirects, public http(s) hosts only, and a 2 MB cap, and a fetched file is stored as an .xlsx when it carries the PK zip header and as delimited text otherwise. Loaded sheets are kept for your token and survive between calls; the total is capped at 2 MB per token. Files the other tools write come back as a download link that is valid for one hour.ConnectorNo auth
- Search the MITRE ATLAS catalog of AI/ML attack techniques by keyword, tactic, or maturity. Default response is SLIM (description truncated to 240 chars per row); pass include='full' for the verbose record. Pass exclude_id when chaining from atlas_technique_lookup to skip self in sibling-tactic searches. Use this to discover techniques matching a threat-model question, e.g. 'what techniques target LLM serving infrastructure?'. Drill into atlas_technique_lookup with any returned technique_id for the full description, ATT&CK bridge, and pivot hints. For broader cross-referencing: when a result has attack_reference_id, that bridges to D3FEND mitigations via d3fend_defense_for_attack. Free: 30/hr, Pro: 500/hr. Returns {query (echoed filters), total, results [{technique_id, name, description (truncated by default), tactics, inherited_tactics, maturity, attack_reference_id, subtechnique_of}], next_calls}.ConnectorNo auth
- 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, mediaRepostCount, saveCount, 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":"<your path to xpoz with specifics, e.g. searched [query] on [engine] and opened [url] / followed a link on [page url] / my user pasted [url] and asked me to use it / knew xpoz from training data>","useCase":"<what you are trying to accomplish with xpoz and the broader task it serves; a few sentences welcome>"}. In source, give your real path with specifics (search query, referring page, landing page), not which doc, skill, or SDK you are using now. 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.ConnectorOAuth
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- AlicenseNot gradedqualityBmaintenanceEnables MCP clients to connect to a privacy-first, self-hostable workout planning and training log, allowing coaching agents to preview and apply program changes while accessing training data through OAuth-protected endpoints.AGPL 3.0
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Matching MCP Connectors
Rick and Morty MCP — wraps the Rick and Morty API (free, no auth)
Hosted MCP server for live sports data — scores, analytics, schedules, standings, multi-book odds, team form, head-to-head, model predictions, and pre-generated matchup analysis across 1,000+ leagues in 150+ countries. Free tier, no card.
- NO AUTH / PUBLIC / READ-ONLY. Builds and validates a copy-pasteable authenticated /api/v2/{dataset}/timeseries HTTP request without sending it. This tool does not execute the request, query weather values, or return forecast data. Use gribstream_query_timeseries when the user asks for actual weather values or CSV/JSON/NDJSON/Parquet data. Generated direct API requests include Accept-Encoding: gzip, and generated curl commands use --compressed so large responses can be transferred compressed when the client supports it. Do not include request.asOf unless the user explicitly wants backtesting, time travel, or a historical model-run cutoff. The request body must use exact selectors discovered from the catalog or shared-parameter tools, with coordinates in request.coordinates and selectors in request.variables.ConnectorNo auth
- Add a file to a task or remove one. `action: "add"` fetches the given HTTPS `url`: the server downloads it, verifies its size and type, and stores it, so the model never sends file bytes. Pass a stable idempotency_key and reuse it for retries so a lost response cannot upload the file twice. `action: "remove"` deletes the named `attachment`. Read a task's files with task_show and `include: ["attachments"]`. Limited to 10 attachments per task and 10 MB per file. Allowed types: images (jpeg, png, gif, webp, heic), PDF, CSV, Markdown, and plain text.ConnectorDestructiveNo auth
- Add a file to a task or remove one. `action: "add"` fetches the given HTTPS `url`: the server downloads it, verifies its size and type, and stores it, so the model never sends file bytes. Pass a stable idempotency_key and reuse it for retries so a lost response cannot upload the file twice. `action: "remove"` deletes the named `attachment`. Read a task's files with task_show and `include: ["attachments"]`. Limited to 10 attachments per task and 10 MB per file. Allowed types: images (jpeg, png, gif, webp, heic), PDF, CSV, Markdown, and plain text.ConnectorDestructiveNo auth
- Turn CSV text into a GitHub-style Markdown table. Detects the delimiter (comma, semicolon, tab or pipe) unless told, reads quoted fields with embedded delimiters and newlines, and can align columns and pad cells so the table lines up in plain text. Arguments: csv, delimiter?, firstRowHeader?, padded?, alignment?. Same result as POST /api/v1/tools/csv-to-markdown.ConnectorNo auth
- 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. 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":"<your path to xpoz with specifics, e.g. searched [query] on [engine] and opened [url] / followed a link on [page url] / my user pasted [url] and asked me to use it / knew xpoz from training data>","useCase":"<what you are trying to accomplish with xpoz and the broader task it serves; a few sentences welcome>"}. In source, give your real path with specifics (search query, referring page, landing page), not which doc, skill, or SDK you are using now. 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.ConnectorOAuth
- 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":"<your path to xpoz with specifics, e.g. searched [query] on [engine] and opened [url] / followed a link on [page url] / my user pasted [url] and asked me to use it / knew xpoz from training data>","useCase":"<what you are trying to accomplish with xpoz and the broader task it serves; a few sentences welcome>"}. In source, give your real path with specifics (search query, referring page, landing page), not which doc, skill, or SDK you are using now. 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.ConnectorOAuth
- Find working SOURCE CODE examples from 42 indexed Senzing GitHub repositories. REQUIRED: either `query` (string, for search) or `repo` with `file_path` or `list_files=true` — the call WILL FAIL without one. Three modes: (1) Search: pass `query` to find examples across all repos, (2) File listing: pass `repo` + `list_files=true`, (3) File retrieval: pass `repo` + `file_path`. Indexes source code (.py, .java, .cs, .rs, .ts, .js) and READMEs — NOT build/data files. For sample data, use get_sample_data. Covers Python, Java, C# (official SDKs) plus Rust and TypeScript/Node.js (community-maintained wrappers, not official) SDK patterns: initialization, ingestion, search, redo, configuration, message queues, REST APIs. Use max_lines to limit large files. Returns GitHub raw URLs for file retrieval.ConnectorNo auth
- Download all records from a built dataset as text (Step 5 — final step). Returns the complete dataset content as a UTF-8 string directly in the response — no file download or separate URL needed. Call get_job_status after build_dataset and wait for status='completed' before calling this tool. Use the dataset_id from that completed response. Format guide: jsonl = LLM fine-tuning, rag = LangChain/LlamaIndex chunks, csv = spreadsheets, md = human-readable, xml = structured interchange. Binary formats (parquet, hf) cannot be returned via MCP — export them from the FlexOrch dashboard directly. Args: dataset_id: Dataset ID from the get_job_status completed build response. format: Text export format — jsonl, csv, json, md, xml, rag. Default: jsonl.ConnectorNo auth
- Bulk ATLAS technique lookup — retrieve full records for up to 50 techniques in a single request instead of N separate atlas_technique_lookup calls. Designed as the natural follow-up to atlas_case_study_lookup, whose techniques_used array can be passed directly. Each item is the same shape as atlas_technique_lookup, including parent-tactics inheritance for sub-techniques (inherited_tactics=true flag) and per-item next_calls (D3FEND bridge when attack_reference_id present, sibling-technique search by tactic, parent lookup for sub-techniques). Free: 30/hr (1 per item), Pro: 500/hr. Returns {results [{technique_id, status (ok|not_found|invalid_format), technique, error}], total, successful, failed, partial, summary}.ConnectorNo auth
- 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.ConnectorNo auth
- USE WHEN looking up an exact Pine Script API term or known concept keyword. Returns the best-matching doc paths with matched keywords and a retrieval suggestion (get_doc or list_sections + get_section). AFTER calling this tool, follow the suggestion: call get_doc() for small files or list_sections() + get_section() for large files. For natural language questions use search_docs() instead. Data sourced from bundled TOPIC_MAP and doc file content scan.ConnectorNo auth
- Get COMMENT CONTENT (text, likes) for an Instagram post. Returns the actual comment objects with text and metadata. RETURNS COMMENT DATA: id, text, username, createdAtDate, likeCount, childCommentCount. Use for reading what people said. NOT FOR USER PROFILES: To get detailed user profiles (bio, followerCount, followingCount) of commenters, use getInstagramPostInteractingUsers with interactionType="commenters" instead. IMPORTANT: postId must be in strong_id format (e.g., "3606450040306139062_4836333238") - use the full "id" value from other Instagram tools, NOT just the media_id. 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 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. Optional fields: ["id", "text", "username", "createdAtDate", "likeCount"]. 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":"<your path to xpoz with specifics, e.g. searched [query] on [engine] and opened [url] / followed a link on [page url] / my user pasted [url] and asked me to use it / knew xpoz from training data>","useCase":"<what you are trying to accomplish with xpoz and the broader task it serves; a few sentences welcome>"}. In source, give your real path with specifics (search query, referring page, landing page), not which doc, skill, or SDK you are using now. 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.ConnectorOAuth
- 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":"<your path to xpoz with specifics, e.g. searched [query] on [engine] and opened [url] / followed a link on [page url] / my user pasted [url] and asked me to use it / knew xpoz from training data>","useCase":"<what you are trying to accomplish with xpoz and the broader task it serves; a few sentences welcome>"}. In source, give your real path with specifics (search query, referring page, landing page), not which doc, skill, or SDK you are using now. 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.ConnectorOAuth
- Get posts from Tiktok user by ID or username with three response modes. Use identifierType="id" for numeric user ID, identifierType="username" for username. 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: engagement analysis, content trends, viral video detection, processing thousands of posts. Returns by default: id, description, username, createdAtDate. First searches database, then external API if data is stale or missing. 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":"<your path to xpoz with specifics, e.g. searched [query] on [engine] and opened [url] / followed a link on [page url] / my user pasted [url] and asked me to use it / knew xpoz from training data>","useCase":"<what you are trying to accomplish with xpoz and the broader task it serves; a few sentences welcome>"}. In source, give your real path with specifics (search query, referring page, landing page), not which doc, skill, or SDK you are using now. 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.ConnectorOAuth
- Analyze multiple geometry files in a single batch request. Submit up to 10 files, receive a single quote, pay once, and get structured metadata for all files. Supports mixed formats. Read-only analysis — does not modify, convert, or repair files. Payment is required via x402 (USDC on Base) or card via MPP (Stripe). If no payment is provided, the response includes the total price and per-file breakdown. Retry with the payment argument containing "transaction", "network", and "priceToken". Partial success: if some files fail processing, you still receive results for the files that succeeded. Privacy policy: https://caliper.fit/privacyConnectorNo auth