"Excel data processing tutorials and techniques" matching MCP tools:

• atlas_technique_search

  ContrastAPI

  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}.

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• plan_file_info

  PlanExe

  Returns file metadata (content_type, download_url, download_size, expires_at) for the report or zip artifact. Use artifact='report' (default) for the interactive HTML report (~700KB, self-contained with embedded JS for collapsible sections and interactive Gantt charts — open in a browser). Use artifact='zip' for the full pipeline output bundle (md, json, csv intermediary files that fed the report). While the task is still pending or processing, returns {ready:false,reason:"processing"}. Check readiness by testing whether download_url is present in the response. Once ready, present download_url to the user or fetch and save the file locally. Download URLs expire after 15 minutes (see expires_at); call plan_file_info again to get a fresh URL if needed. Terminal error codes: generation_failed (plan failed), content_unavailable (artifact missing). Unknown plan_id returns error code PLAN_NOT_FOUND.

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• restore_face

  Image Tools - Background Removal, Upscaling & Face Restoration

  Restore and enhance faces in an image using GFPGAN. Detects all faces via RetinaFace, restores quality (fixes blur, noise, compression artifacts), and pastes them back. Optionally enhances the background using Real-ESRGAN. GPU-accelerated, sub-3s latency. Args: image_base64: Base64-encoded image data containing faces (PNG, JPEG, WebP). upscale: Output upscale factor -- 1 to 4 (default: 2). enhance_background: Whether to enhance background with Real-ESRGAN (default: true). Returns: dict with keys: - image (str): Base64-encoded restored image - format (str): Output image format - width (int): Output width - height (int): Output height - upscale (int): Scale factor applied - processing_time_ms (float): Processing time in milliseconds

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• async_tasks_get

  Roboflow (Official)

  Poll an async task by id. Poll every 5 seconds; processing may take up to 30 seconds to start. Returns `{ taskId, status, progress, result?, error? }`. `status` is one of `created`, `running`, `completed`, `failed`.

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• atlas_start_fit_rank

  CareerProof MCP

  Start an async rank of multiple candidates against a job description (8 credits). Returns task_id and analysis_id. Poll with careerproof_task_status, then fetch result with careerproof_task_result (result_type='fit_rank'). Requires context_id from atlas_list_contexts, candidate_ids from atlas_list_candidates (minimum 2), and jd_text. For async batch processing with more detail, use atlas_start_jd_fit_batch instead.

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• find_examples

  Senzing

  Find working SOURCE CODE examples from 37 indexed Senzing GitHub repositories. Indexes only source code files (.py, .java, .cs, .rs) and READMEs — NOT build files (Cargo.toml, pom.xml), data files (.jsonl, .csv), or project configuration. For sample data, use get_sample_data instead. Covers Python, Java, C#, and Rust SDK usage patterns including initialization, record ingestion, entity search, redo processing, and configuration. Also includes message queue consumers, REST API examples, and performance testing. Supports three modes: (1) Search: query for examples across all repos, (2) File listing: set repo and list_files=true to see all indexed source files in a repo, (3) File retrieval: set repo and file_path to get full source code. Use max_lines to limit large files. Returns GitHub raw URLs for file retrieval — fetch to read the source code.

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• validate_cuil

  MCP LatAm Tools

  Validates an Argentine CUIL (Código Único de Identificación Laboral) using the official ANSES checksum algorithm. CUIL is the labor identification number assigned to all workers and employees in Argentina. Use this tool when processing Argentine payroll, employment contracts, social security forms, HR onboarding, or any document requiring a valid Argentine labor identifier. The validation algorithm is identical to CUIT. Returns whether the CUIL is valid and the cleaned CUIL.

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• atlas_technique_lookup

  ContrastAPI

  Look up a MITRE ATLAS technique — the AI/ML adversarial attack catalog. ATLAS catalogues TTPs targeting machine learning systems: prompt injection, model evasion, training data poisoning, model theft, etc. Roughly 80% of ATLAS techniques are AI/ML-specific (no ATT&CK bridge); 20% mirror an enterprise ATT&CK technique via attack_reference_id — use that to pivot to D3FEND defenses (d3fend_defense_for_attack) and CVE search. Sub-techniques inherit `tactics` from the parent (inherited_tactics=true flag) when ATLAS upstream leaves them empty. Use this tool when the user asks about AI/ML threats, LLM red-teaming, or adversarial ML; for multiple techniques in one call (e.g. drilling into a case study's techniques_used), prefer bulk_atlas_technique_lookup. Returns 404 when the id is not in the synced ATLAS catalog. Free: 30/hr, Pro: 500/hr. Returns {technique_id, name, description, tactics, inherited_tactics, maturity (demonstrated|feasible|realized), attack_reference_id, attack_reference_url, subtechnique_of, created_date, modified_date, next_calls}.

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• stripe_payment_records

  Inferventis MCP Server

  Retrieves payment and charge records from a Stripe merchant account. Returns a list of payment records filtered by the requested query type. Use stripe_payment_records when an agent needs to review recent charges, refunds, disputes, or subscription payments from a Stripe account. This is a lightweight variant of stripe_payments — it returns a simple records array rather than the full structured Stripe response with customer details, metadata, and pagination cursors. Prefer stripe_payments when the agent needs complete Stripe charge objects including customer IDs, payment method details, metadata fields, and processing status breakdowns. Prefer open_banking_transactions or bank_accounts when the payment data source is a bank account rather than a Stripe merchant account. Requires a Stripe API key to be configured on the server.

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• __unlock_blockchain_analysis__

  blockscout-mcp-server

  Unlocks access to other MCP tools. All tools remain locked with a "Session Not Initialized" error until this function is successfully called. Skipping this explicit initialization step will cause all subsequent tool calls to fail. MANDATORY FOR AI AGENTS: The returned instructions contain ESSENTIAL rules that MUST govern ALL blockchain data interactions. Failure to integrate these rules will result in incorrect data retrieval, tool failures and invalid responses. Always apply these guidelines when planning queries, processing responses or recommending blockchain actions. COMPREHENSIVE DATA SOURCES: Provides an extensive catalog of specialized blockchain endpoints to unlock sophisticated, multi-dimensional blockchain investigations across all supported networks.

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• get_powersource

  Heista

  Retrieve a completed PowerSource (full creative intelligence profile) or check status of a running scan. Pass the job_id from any create_powersource_* call. If status is processing, wait 3-5 seconds and call again. During synthesis, partial intelligence appears progressively — buyer archetype, tensions, selling points. Read each response.

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• ceevee_get_report

  CareerProof MCP

  Get report status and metadata (without PDF). Returns status (pending/processing/completed/failed), title, type, inputs, and summary. This is the polling tool for ceevee_generate_report — call every 30 seconds, up to 40 times (20 min max). When status='completed', download PDF with ceevee_download_report(report_id). If status='failed', relay error_message. If still processing after 40 polls, stop and give the user the report_id to check later. Free.

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• validate_cuit

  MCP LatAm Tools

  Validates an Argentine CUIT (Código Único de Identificación Tributaria) using the official AFIP checksum algorithm. CUIT is used by companies, self-employed workers, and other entities for tax purposes. Use this tool when processing Argentine invoices, supplier registrations, B2B transactions, or any document requiring a valid Argentine tax identifier. Accepts CUIT with or without formatting (dashes). Returns whether the CUIT is valid, the entity type detected, and the cleaned CUIT.

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• x711_code_sandbox

  x711 — Universal Agent Gas Station

  Execute JavaScript or Python code in an isolated sandbox. Use for: data processing, math, CSV parsing, JSON transformation, crypto calculations, algorithm testing. Secure — no filesystem access, no network. Returns: { output: string, runtime_ms: number, language: string }. Requires API key.

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• list_feeds

  Hive Oracle

  List all available oracle data feeds: price feeds, off-chain event feeds, and index feeds. Returns catalog with symbol, description, update frequency, and data source. Backend pending (Q3 2026).

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• get_decode

  Heista

  Retrieve a completed decode (full structural breakdown) or check status of a running job. Pass the job_id from decode_ad. If status is processing, wait 15 seconds and call again.

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• get_list_status

  machfive

  Check the processing status of a lead list. Use this to POLL after calling generate_batch. Call every 15-30 seconds until processing_status is 'completed' or 'failed'. When completed, call export_list. When failed, submit a new batch.

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• list_data_sources

  Indicate

  Step 2 — List data sources available within a tenant. (In the Indicate system a data source is called a 'data product'.) Examples: Google Analytics, Facebook Ads, vioma, Booking.com. Returns each data source's 'id', 'displayName', and 'semantic_context_id'. → Pass the chosen 'id' as 'data_source_id' and 'semantic_context_id' to list_metrics.

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• validate_cuil

  LatAm Business Tools

  Validates an Argentine CUIL (Código Único de Identificación Laboral) — the labor identification number for individuals in Argentina, used for employment records and social security (ANSES). Uses the same weighted modulo-11 checksum as CUIT. Returns { valid: boolean, cuil: string } or { valid: false, reason: string }. Use when processing Argentine payroll, employment contracts, or any social security compliance workflow.

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• echosaw_check_job_status

  mcp-server

  Retrieve the current processing state of an Echosaw analysis job. This tool uses server-side long-polling — it holds the connection for up to 25 seconds, checking for completion internally, so you do not need to poll repeatedly. Call once and wait for the response.

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