"Automating Workflow for File Processing and Communication" matching MCP tools:

• confirm_publish

  Dreamlit

  Use only after explicit user confirmation and a prior prepare_publish result to publish or schedule a Dreamlit workflow. Side effect: installs live database/repeating/auth triggers, schedules or sends broadcasts, and may enable notification delivery; sandbox mode can hold notifications for inspection. Returns the published workflow status and app URLs. Do not call speculatively or without carrying forward the prepare_publish safety fields.

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• list_workflows

  Dreamlit

  Read-only. Use to find workflows in a project by name, description, or trigger type before inspection or editing. Trigger filters include database, auth email, repeating, broadcast, and no-trigger workflows. Returns paginated workflow summaries, published/sandbox state, trigger type, workflow URLs, totalCount, hasMore, and nextOffset. Do not use as the final source of truth before editing; call get_workflow_and_preview_url for full structure.

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• delete_file

  Sweeppea MCP

  DESTRUCTIVE — IRREVERSIBLE. Permanently delete a file from the user's Drive. Removes the file from S3 storage and the database. Storage quota is freed immediately. ALWAYS ask for explicit user confirmation before calling this tool. # delete_file ## When to use DESTRUCTIVE — IRREVERSIBLE. Permanently delete a file from the user's Drive. Removes the file from S3 storage and the database. Storage quota is freed immediately. ALWAYS ask for explicit user confirmation before calling this tool. ## Parameters to validate before calling - file_token (string, required) — The file token (UUID) of the file to delete. Get via fetch_files. ## Notes - DESTRUCTIVE — IRREVERSIBLE. Always confirm with the user before calling. Explain what will be lost.

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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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• xmp4_guide

  xmp4 — Semantic code knowledge for your stack

  Usage guide for xmp4 tools — read this first to learn the correct workflow

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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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• 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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• create_upload_session

  SendIt

  Create a browser upload link for media files. ALWAYS use this when the user shares an image or video in chat — their file is local and cannot be passed directly to publish_content. WORKFLOW: 1. Call this tool to get an uploadUrl 2. Give the user the link to open in their browser and upload their file 3. After upload, call get_upload_session to get the public media URL(s) 4. Use the returned URL with publish_content or schedule_content Supports up to 20 files per session. Expires in 15 minutes.

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• validate_cnpj

  LatAm Business Tools

  Validates a Brazilian CNPJ (Cadastro Nacional da Pessoa Jurídica) — the 14-digit company registration number issued by the Receita Federal. Applies the official two-pass weighted checksum algorithm. Returns { valid: boolean, cnpj: string } for valid CNPJs, or { valid: false, reason: string } for invalid format or failed checksum. Use when processing Brazilian B2B invoices (Notas Fiscais), supplier onboarding, or any compliance workflow requiring a verified Brazilian company tax ID. Offline validation only.

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• get_guide

  Canvs

  ⚠️ MANDATORY FIRST STEP - Call this tool BEFORE using any other Canvs tools! Returns comprehensive instructions for creating whiteboards: tool selection strategy, iterative workflow, and examples. Following these instructions ensures correct diagrams.

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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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• ateam_github_patch

  ateam-mcp

  Edit a file in the solution's GitHub repo and commit. Two modes: 1. FULL FILE: provide `content` — replaces entire file (good for new files or small files) 2. SEARCH/REPLACE: provide `search` + `replace` — surgical edit without sending full file (preferred for large files like server.js) Always use search/replace for large files (>5KB). Always read the file first with ateam_github_read to get the exact text to search for.

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• workflows_create

  Roboflow (Official)

  Create and save a new Workflow in the workspace. IMPORTANT: Always validate the config with workflow_specs_validate before creating the workflow. The config is the same JSON format used by workflow_specs_run and workflow_specs_validate. Once saved, the workflow can be executed by ID via workflows_run. Returns the created workflow including its document ID. Save this ID — it is required for workflows_update.

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• workflows_run

  Roboflow (Official)

  Execute a saved Workflow on one or more images. Runs a previously created Workflow against the provided images on the Roboflow serverless infrastructure. IMPORTANT: If processing more than 10 images, spawn a sub-agent to run this tool in the background so the user is not blocked. Returns workflow outputs as defined by the workflow's output blocks.

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• workflows_update

  Roboflow (Official)

  Update an existing saved Workflow's name and definition. IMPORTANT: Always validate the config with workflow_specs_validate before updating the workflow. Use workflows_get to retrieve the current workflow first, then modify the config as needed.

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• agents_add_file

  DialogBrain

  Attach a file to this agent's private knowledge (agent-specific files, not shared with other agents). Workflow: 1. Upload the file with files_upload (pass source_url for remote files) 2. Index it with files_ingest (pass the file_id) 3. Call this tool with agent_id + file_id Returns chunk_count — shows 0 while still processing. Call agents.list_files later to see the final chunk count once indexing completes.

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• get_analytics

  Dreamlit

  Read-only. Use to query Dreamlit analytics for overview metrics, notification rows, recipient engagement, or workflow run rows with filters, sorting, and cursor pagination. Returns bounded structured analytics data, effective query metadata, pagination details when rows are included, and relevant app URLs. Do not use for CSV exports, bulk dumps, workflow edits, publishing, or low-level database access.

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• workflow_blocks_get_schema

  Roboflow (Official)

  Get the full schema of a specific Workflow block. Returns all properties, required fields, and descriptions for a block identified by its manifest name (as returned by ``workflow_blocks_list``).

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• workflow_specs_run

  Roboflow (Official)

  Execute a Workflow from an inline JSON definition. Unlike ``run_workflow`` which runs a previously saved workflow by ID, this tool accepts a full workflow JSON spec and executes it directly. This is useful for testing workflows before saving them. IMPORTANT: Always call ``workflow_specs_validate`` first to check the definition is valid before running it. IMPORTANT: If processing more than 10 images, spawn a sub-agent to run this tool in the background so the user is not blocked. Returns workflow outputs as defined by the workflow's output blocks.

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• get_workflow_and_preview_url

  Dreamlit

  Read-only. Use before editing, verifying, or preparing publish for an existing workflow. Returns normalized draft and published workflow structure plus the Dreamlit preview/builder URL and status URLs. Do not use to create, update, publish, or unpublish workflows.

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