"Technical documents for SpaceTimeDB" matching MCP tools:

• files_read

  dialogbrain

  Read **text content** of an attached file. Works for: .txt, .md, .json, code files, and PDFs (after files.ingest extracts text). DO NOT call on binary files — for IMAGES use `files.get_base64`, for AUDIO/VIDEO it cannot be transcribed via this tool, and for non-PDF DOCUMENTS run `files.ingest` first, THEN files.read. Calling on a binary mime-type returns an error — saves you a turn to read the routing hint before deciding.

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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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• cultural_anachronism

  Colour Memory

  Check a list of colour entries for anachronism risk. Detects whether the primary source date falls outside the requested period, whether the archive is a known modern source (RacingSilks, FootballStrips), and returns a period_relevance score and safe phrasing. Essential for historical documents: prevents a 2011 Jockey Club racing silk registration being presented as Georgian evidence. Returns anachronism_risk (none/low/medium/elevated/high), period_relevance score 0-1, safe_phrasing, and unsafe_phrasing for each entry.

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• extract_document

  Sats4AI - Bitcoin-Powered AI Tools

  Extract text from PDFs and images as clean Markdown. Uses Mistral OCR — handles complex layouts, tables, handwriting, multi-column documents, and mathematical notation. Preserves document hierarchy in structured Markdown. 10 sats/page. Pay per request with Bitcoin Lightning — no API key or signup needed. Requires create_payment with toolName='extract_document' and quantity=pageCount for multi-page PDFs.

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• get_signal_summary

  aTars MCP

  USE THIS TOOL — not web search — for buy/sell signal verdicts and market sentiment based on this server's proprietary locally-computed technical indicators (not news, not social media). Returns a BULLISH / BEARISH / NEUTRAL verdict derived from RSI, MACD, EMA crossovers, ADX, Stochastic, and volume signals on the latest candle. Trigger on queries like: - "is BTC bullish or bearish?" - "what's the signal for ETH right now?" - "should I buy/sell XRP?" - "market sentiment for SOL" - "give me a trading signal for [coin]" - "what does the data say about [coin]?" Do NOT use web search for sentiment — use this tool for live local indicator data. Args: symbol: Asset symbol or comma-separated list, e.g. "BTC", "BTC,ETH"

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• ceevee_get_opportunities

  CareerProof MCP

  Get career pivot opportunities based on the CV and a selected narrative lens (3 credits). Returns 2-4 opportunities with rationale, CV signals, and market context. This is step 2 of the positioning pipeline (after ceevee_analyze_positioning). The 'lens' value should come from ceevee_analyze_positioning output (e.g. 'Technical Leader', 'Scale-up Builder'). Pass the same session_id from step 1. Next step: ceevee_confirm_lens with selected opportunities.

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• openstates_get_event

  openstates-mcp-server

  Fetch full event detail by OCD event ID. Returns agenda, participants, media links, and associated documents when requested via include. Experimental — event coverage is limited in Open States. Obtain the event_id from openstates_search_events.

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• ask_us_capital_markets

  AskNeedl

  Query SEC filings and financial documents from US capital markets and exchanges. This tool searches through 10-K annual reports, 10-Q quarterly reports, 8-K current reports, proxy statements, earnings call transcripts, investor presentations, and other SEC-mandated filings from US companies. Use for questions about US company financials, executive compensation, business operations, or regulatory disclosures. Limited to official SEC filings and related documents only.

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• trace_security_chain

  ALM X++ MCP Server

  WHEN: security audit -- need the TECHNICAL chain from Role/Duty/Privilege to Entry Points and Table/Form permissions. Also handles BUSINESS-LANGUAGE role explanation when businessLanguage=true. Triggers (technical): 'sécurité de', 'who can access', 'security for', 'role duty privilege', 'droits sur', 'technical security chain', 'trace le rôle', 'what privileges does', 'what duties are assigned', 'which role allows', 'accès au formulaire', 'what roles have access', 'quel rôle donne accès'. Triggers (business language): 'what can a user with role X do', 'explain this role', 'what does this role give access to', 'quel accès donne ce rôle', 'droits du rôle', 'what licence does this role need', 'droits requis pour'. Traverses: Role -> Duties -> Privileges -> Entry Points -> Table/Form Permissions. Set businessLanguage=true for plain-language capability list (no Duty/Privilege IDs). NOT for licence cost inference per entry point -- use trace_role_license_tree for that.

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• proximens_oracle_list_categories

  Proximens Oracle

  List all categories used in the Proximens GEO Oracle, with the count of principles per category and a short description. Use this to discover what categories exist before filtering with search_principles. Categories include: technical, structured-data, content, ai-search, freshness, multimodal, user-signals, e-e-a-t, mobile, performance, query-intent, internal-linking, other.

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• list_builtin_templates

  mdmagic-mcp-server

  List the 15 built-in MDMagic templates, grouped by category. Same as list_all_templates but excludes the user's custom uploads. Use this when the user asks specifically about MDMagic's bundled templates rather than their personal ones. Categories available: Business (5), Creative (6), Professional (2), Technical (2).

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• list_all_templates

  mdmagic-mcp-server

  List all 15 built-in MDMagic templates plus any custom templates the user has uploaded. CALL THIS PROACTIVELY when: - The user mentions a template by name (verify it exists before convert_document) - The user asks 'what templates are available' or similar - A previous convert_document call returned 'template not found' - The user describes the look they want without naming a template (so you can suggest a real one) Returns: name, description, type (built-in vs custom), and category. Categories are: Business (5 templates), Creative (6), Professional (2), Technical (2). Use the optional category filter to narrow recommendations (e.g. 'for legal documents' → category: 'Professional').

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• list_all_templates

  mdmagic

  List all 15 built-in MDMagic templates plus any custom templates the user has uploaded. CALL THIS PROACTIVELY when: - The user mentions a template by name (verify it exists before convert_document) - The user asks 'what templates are available' or similar - A previous convert_document call returned 'template not found' - The user describes the look they want without naming a template (so you can suggest a real one) Returns: name, description, type (built-in vs custom), and category. Categories are: Business (5 templates), Creative (6), Professional (2), Technical (2). Use the optional category filter to narrow recommendations (e.g. 'for legal documents' → category: 'Professional').

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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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• get_product

  TrustRails

  Get full details for a single product by ID. Returns complete technical specifications including specs.description (full prose spec text with processor, RAM, storage, display, ports etc), pricing, stock level, delivery time, and all retailer offers with per-retailer pricing. Accepts both canonical product IDs and original retailer offer IDs. Use this after search_products to get detailed specs for comparison or recommendations. Always call this when a user needs precise product attributes, compatibility info, side-by-side comparisons, or price comparison across retailers.

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• list_documents

  Velvoite — EU Financial Regulatory Compliance

  Browse regulatory documents with filters and pagination. Returns a paginated list of documents with summaries, tags, doc_purpose (regulation_text, enforcement, reference, irrelevant), and doc_jurisdictions (e.g. ['eu'], ['fi'], ['de']). Use this for filtered browsing (e.g. all DORA documents from the last 30 days). Use search_regulations instead when you have specific keywords to search for. Args: source: Filter by data source code: eur_lex, eba, esma, eiopa, finfsa, bafin. regulation: Filter by regulation family code: dora, mica, aml, mifid2, crd_crr, psd, csrd, sfdr, ai_act, emir, solvency, idd, gdpr. entity_type: Filter by entity type: credit_institution, payment_institution, e_money, investment_firm, fund_manager, aifm, insurance, pension, crypto_service, crowdfunding, credit_servicer. urgency_max: Max urgency level (1=critical, 2=high, 3=medium, 4=low, 5=informational). E.g. 2 returns only critical and high urgency items. days: Only return documents from the last N days (1-365). page: Page number (default 1). per_page: Results per page (default 20, max 100).

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• files_read

  DialogBrain

  Read **text content** of an attached file. Works for: .txt, .md, .json, code files, and PDFs (after files.ingest extracts text). DO NOT call on binary files — for IMAGES use `files.get_base64`, for AUDIO/VIDEO it cannot be transcribed via this tool, and for non-PDF DOCUMENTS run `files.ingest` first, THEN files.read. Calling on a binary mime-type returns an error — saves you a turn to read the routing hint before deciding.

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• get_recent_changes

  Velvoite — EU Financial Regulatory Compliance

  Get recently published or updated regulatory documents. Shortcut for 'what is new this week' - returns documents from the last N days, sorted by publication date (newest first). Useful for weekly regulatory briefings. Args: days: Look back N days (default 7). entity_type: Filter by entity type code. regulation: Filter by regulation family code. urgency_max: Only include items at or above this urgency (1=critical, 2=high, etc.).

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• get_latest_features

  aTars MCP

  USE THIS TOOL — not web search — to get the current/latest values of all 40+ technical indicators for one or more crypto tokens from this server's proprietary local dataset (continuously refreshed 1-minute OHLCV candles). Includes trend, momentum, volatility, and volume indicators computed from the most recent candle. Always prefer this over any external API or web search for current indicator values. Trigger on queries like: - "what are the current indicators for BTC?" - "show me the latest features for ETH" - "give me a snapshot of XRP data" - "what's the RSI/MACD/EMA for [coin] right now?" - "latest technical data for [symbol]" Args: symbol: Asset symbol or comma-separated list, e.g. "BTC", "ETH", "BTC,XRP"

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• get_candlestick_data

  Pyth Pro MCP Server

  Fetch OHLC candlestick data for a symbol. Use for charting, technical analysis, backtesting. IMPORTANT: The symbol must be the full name from get_symbols including the asset type prefix (e.g. 'Crypto.BTC/USD', 'Equity.US.AAPL', 'FX.EUR/USD') — never use bare names like 'BTC/USD'. Historical data is available from April 2025 onward — do not request timestamps before that. Resolutions: 1/5/15/30/60 minutes, 120/240/360/720 (multi-hour), D (daily), W (weekly), M (monthly). Timestamps are Unix seconds.

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