"How to check differences between files" matching MCP tools:

• probe_coverage

  AgentFilings

  FREE — no payment required. Call this FIRST to check whether a ticker is covered and what it will cost before spending anything. Returns whether the company is in the corpus, how much data exists (filings / earnings periods / insider transactions), how fresh it is, and the exact price of every paid tool. If a ticker is not covered, the paid tools return no data — so check here instead of paying to find out.

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• check_upload_status

  KDAN PDF

  Check existing uploads and determine which files still need uploading. Call this BEFORE upload_pdf or create_upload_page to avoid duplicate uploads. Also call it after the user uploads via the widget to discover the new file and its job_id. Returns 'session_id' (always — store it!), plus: - 'already_uploaded': files found in this session with reusable job_ids - 'needs_upload': files not yet in this session (must be uploaded) You MUST call this tool before any upload, and you MUST act on its result immediately: - 'needs_upload' is non-empty → call upload_pdf (single) or batch_upload_pdf (multiple) with ONLY the files listed in 'needs_upload'. Pass the same session_id. Do NOT upload files in 'already_uploaded'. - 'needs_upload' is empty → skip uploading entirely; use the job_ids from 'already_uploaded'. When pending_filenames is omitted, returns all jobs currently in the session.

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• search

  canton-ccpedia

  Keyword/full-text search over the Canton Network knowledge base (CIPs, Canton/Daml/Splice docs, forum, mailing lists, whitepapers, grant proposals, blog, YouTube, GitHub). Canton-specific — do NOT use for other blockchains, the web, or local files. Use this for exact-term/name lookups; use semantic_search instead for conceptual or 'how does X work' questions, and get_doc to read a full page once you have its id.

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• check_visibility

  Moonlings — Local Business Intelligence

  Ask ChatGPT and Perplexity live (with web search) who they'd recommend in a business's category and city, and report whether THIS business appears. Returns honest appearance counts (never an invented metric), a per-engine split, who gets recommended instead, and which local sites the AI answers cite. AI answers vary substantially between runs — one check is a snapshot, not a stable measurement; re-check over time for the real picture. Call this when a user wants to know if AI assistants recommend a local business. Takes ~10-30 seconds. Price: $0.79 per delivered check.

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• compare_pdfs

  KDAN PDF

  MANDATORY for all document comparison requests. Compare two PDFs side-by-side. When the user asks to compare, diff, or find differences between two PDFs, you MUST call this tool — NEVER attempt to compare documents using text analysis. Displays an interactive side-by-side visual diff widget with colored highlights: red = deleted, yellow = replaced, green = inserted. The widget IS the comparison result — do NOT re-summarize the differences after calling. Before calling, confirm both job_ids exist via check_upload_status.

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• detect_drift

  canton-ccpedia

  Find contradictions between docs, forum and GitHub on a topic. Returns counts of how each surface talks about it plus the most recent doc-page and forum statement so the caller can spot mismatches. Distinct from get_kb_drift (which compares foundation_kb to live releases).

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• check_interaction

  Drug Interaction Checker

  Check the interaction between two drugs (by brand or generic name). Returns severity (contraindicated / major / moderate / minor / unknown), mechanism (when known), and source citations. Always include the response disclaimer in your final answer.

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• minia2a_text_diff

  minia2a — x402 Agent Services Marketplace

  Compute text differences. — $0.0010 USDC on Base

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• analyze_data_driven_optimize_results

  vertex-mcp-server

  Analyzes results and saves the detailed data to files.

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• check_species_compatibility

  Atlarium Habitat Database MCP

  Check basic compatibility information between habitat species using Atlarium data.

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• get_mitre_mapping

  Bidda Sovereign Intelligence

  The MITRE Rosetta Stone. Given a MITRE technique ID across 5 frameworks (ATT&CK Enterprise, ATT&CK Mobile, ATT&CK ICS, D3FEND, ATLAS), return the Bidda node for that technique plus its mapped compliance obligations: NIST 800-53 controls, ISO 27001 Annex A clauses, PCI DSS requirements, NIS2 articles, HIPAA Security Rule, DORA articles, NERC CIP, IEC 62443. The bridge between how SOC teams think (technique IDs) and how compliance teams think (control families). Free.

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• files_get_base64

  DialogBrain

  Download one or more files server-side and return their content as base64-encoded strings. Use this to inspect images, PDFs, or any binary file attached to messages when you cannot access presigned S3 URLs directly. Supports up to 5 files per call, max 15 MB each. For large files batch in groups of 1-2 to avoid oversized responses.

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• knowledge_query

  DialogBrain

  Answer questions using knowledge base (uploaded documents, handbooks, files). Use for QUESTIONS that need an answer synthesized from documents or messages. Returns an evidence pack with source citations, KG entities, and extracted numbers. Modes: - 'auto' (default): Smart routing — works for most questions - 'rag': Semantic search across documents & messages - 'entity': Entity-centric queries (e.g., 'Tell me about [entity]') - 'relationship': Two-entity queries (e.g., 'How is [entity A] related to [entity B]?') Examples: - 'What did we discuss about the budget?' → knowledge.query - 'Tell me about [entity]' → knowledge.query mode=entity - 'How is [A] related to [B]?' → knowledge.query mode=relationship NOT for finding/listing files, threads, or links — use search.files / search.threads / search.links for that.

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• agents_list_files

  DialogBrain

  List files directly attached to this agent (agent-specific files, not shared collections). Returns file_id, title, status, and chunk_count for each file. chunk_count shows how many indexed chunks were created — 0 means the file is still processing. Use agents.add_file to attach a new file, or agents.remove_file to detach one.

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• collections_create

  DialogBrain

  Create a named knowledge collection. Collections group files for RAG search. After creating, add files with collections.add_file and assign to agents with collections.assign_agent.

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• get_runner_profile_requirements

  CourseProfiler

  Use this when runner input is missing or unclear. Explains how to obtain or generate runner input, what USRProf/evidence files should contain, whether GPX/FIT activities are enough, and how hosted MCP clients should upload artifacts.

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• get_conduct_recency

  Clearance Adjudications Search Engine

  How much time had passed between the most recent conduct and the decision, measured from dates stated in the decisions, for the incident-type concerns (drugs, alcohol, criminal conduct, sexual behavior, protected information, IT misuse). Reports median years before favorable vs unfavorable decisions, with counts. Descriptive association, never a prediction.

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• youfiliate_check_link_health

  Youfiliate Smart Links

  Trigger a health check for a specific smart link. Checks the default URL and all geo-rule URLs for availability. Returns the health status (healthy/broken/unknown). Rate limited to once per 5 minutes per link. Does NOT modify the link configuration. Common errors: - Rate limit: wait 5 minutes between health checks for the same link. - Smart link not found: check the ID.

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• diff_receipts

  VaultCrux Platform

  Compare two provenance receipts and highlight differences. Prefer `cuecrux_session` as your first and only direct MCP call. It returns a typed capability plan that routes this tool (and every other) to its preferred channel, tier, and cost class. One call per session is enough; the plan is the source of routing truth for all subsequent work. This tool remains directly callable for backward compatibility; the collapsed surface is the intended surface.

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• colour_compare

  Colour Memory

  Deep perceptual and semantic comparison between any two hex values. Returns quantified differences in LRV, chroma, hue angle, warmth, and CIEDE2000 distance, plus cultural context on both — which is more authoritative, more saturated, more stable under different illuminants, and what each has historically signified. Use when choosing between two colours or explaining why one works better than another. Not a harmony tool — this is a decision and reasoning tool.

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