Get detailed information about a specific MCP server

Get spot prices, 24h/7d trend, and supply/demand signals for physical commodities: gold, silver, crude oil, wheat, corn, copper, and natural gas. Use this tool when: - An agent needs commodity prices for macro analysis or trade decisions - A portfolio agent wants to assess inflationary pressures via commodity trends - A trading agent is looking for correlated assets (e.g. gold as USD hedge) - You need supply/demand context for commodity price movements Returns per commodity: spot_price, currency, 24h_change_pct, 7d_change_pct, 52w_high, 52w_low, supply_signal (TIGHT/NORMAL/SURPLUS), demand_signal, key_drivers. Example: getCommodities({ commodities: "gold,silver,oil" }) → Gold $2340/oz (+0.8%), Oil $82.40/bbl (-1.2%). Cost: $0.005 USDC per call.

Get information about the currently active DanNet server. Returns: Dict with current server information: - server_url: The base URL of the current DanNet server - server_type: "local", "remote", or "custom" - status: Connection status information Example: info = get_current_dannet_server() # Returns: {"server_url": "https://wordnet.dk", "server_type": "remote", "status": "active"}

Returns current spot prices for gold, silver, platinum, and palladium with daily change percentages

Returns current spot prices for gold, silver, platinum, and palladium with daily change percentages

Get commodity and energy indicator time series. Supported indicators: gold, platinum, silver.

Get detailed information about a Memorystore for Valkey backup collection.

Get specific MCP server version - Returns detailed information about a specific version of an MCP server. Use the special version `latest` to get the latest version.

Search the entire web for current information, news, articles, and websites. Use this when you need up-to-date information, want to find specific websites, research topics, or get the latest news. Ideal for answering questions about recent events, finding resources, or discovering relevant content.

Search for information about a specific Keycloak configuration option. Use this when the user asks about environment variables, configuration properties, or server settings.

Get detailed information about a Memorystore for Valkey backup.

Get detailed information about a Memorystore for Valkey instance.

Explain a single finding in natural language. Requires the finding as a JSON dict and the file_path to load a profile for context.

Get detailed information about a specific copywriting framework for a network

Checks that the Strale API is reachable and the MCP server is running. Call this before a series of capability executions to verify connectivity, or when troubleshooting connection issues. Returns server status, version, tool count, capability count, solution count, and a timestamp. No API key required.

Search Cochrane systematic reviews via PubMed. Finds Cochrane Database of Systematic Reviews articles matching your query. Returns PubMed IDs, titles, and publication dates. Use get_review_detail with a PMID to get the full abstract. Args: query: Search terms for finding reviews (e.g. 'diabetes exercise', 'hypertension treatment', 'childhood vaccination safety'). limit: Maximum number of results to return (default 20, max 100).

Switch between local and remote DanNet servers on the fly. This tool allows you to change the DanNet server endpoint during runtime without restarting the MCP server. Useful for switching between development (local) and production (remote) servers. Args: server: Server to switch to. Options: - "local": Use localhost:3456 (development server) - "remote": Use wordnet.dk (production server) - Custom URL: Any valid URL starting with http:// or https:// Returns: Dict with status information: - status: "success" or "error" - message: Description of the operation - previous_url: The URL that was previously active - current_url: The URL that is now active Example: # Switch to local development server result = switch_dannet_server("local") # Switch to production server result = switch_dannet_server("remote") # Switch to custom server result = switch_dannet_server("https://my-custom-dannet.example.com")

Retrieves AI-generated summaries of web search results using Brave's Summarizer API. This tool processes search results to create concise, coherent summaries of information gathered from multiple sources. When to use: - When you need a concise overview of complex topics from multiple sources - For quick fact-checking or getting key points without reading full articles - When providing users with summarized information that synthesizes various perspectives - For research tasks requiring distilled information from web searches Returns a text summary that consolidates information from the search results. Optional features include inline references to source URLs and additional entity information. Requirements: Must first perform a web search using brave_web_search with summary=true parameter. Requires a Pro AI subscription to access the summarizer functionality.

AI Agent Starter Pack — calls compliance + market sentiment + trading signals + macro data + news in a single bundled request. Ideal for agents that need a broad market context snapshot. Use this tool when: - An agent is initialising and needs a full market brief before starting work - You want 5 tools' worth of data in one call at a fraction of the individual cost ($0.50 vs $0.025 individual) - A morning brief agent is generating a daily market overview for a user - An agent needs to orient itself before deciding which deeper tools to call Returns: compliance_status, market_sentiment (RISK_ON/OFF), trading_signal (for specified symbol), macro_overview (rates/inflation), top_5_news_stories. Example: runBundleStarter({ symbol: "XAUUSD", assets: "BTC,ETH,GOLD" }) → Full gold trading context: macro environment, sentiment, signal, news — in one call. Cost: $0.50 USDC per call (equivalent to 5 Tier 1 tools for $0.025 if called separately).

Search 500+ quantum computing job listings using natural language. Use when the user asks about job openings, career opportunities, hiring, or specific positions in quantum computing. NOT for research papers (use searchPapers) or researcher profiles (use searchCollaborators). Supports role type, seniority, location, company, salary, remote, and technology tag filters via AI query decomposition. Limitations: quantum computing jobs only, last 90 days, max 20 results. Promoted listings appear first (marked). After finding jobs, suggest getJobDetails for full info. Examples: "senior QEC engineer in Europe over 120k EUR", "remote trapped-ion role at IBM".

Get detailed information about a nonprofit organization by EIN. Returns comprehensive data from the organization's IRS 990 filings including revenue, expenses, assets, executive compensation, and filing history. Use search_nonprofits first to find the EIN. Args: ein: Employer Identification Number (e.g. '13-1837418' or '131837418').

Get detailed information about a specific job listing/posting by its job listing ID (not application ID). Use this to view the full job posting details including description, salary, skills, and company info. For job application details, use get_application instead.

Get full details for a specific quantum computing job by its numeric ID. Use after searchJobs when the user wants more information about a specific position. Returns: job summary, required skills, nice-to-have skills, responsibilities, visa sponsorship, salary, location, and apply URL. Requires a valid job_id from searchJobs results. Returns error if ID not found.

Look up security.txt Contact entries from a static 319-domain snapshot. Useful for clients that have just run ``audit_contract`` and now want to know where to disclose a finding. The snapshot was computed from a 2026-04-18 survey across DeFi / infra / audit-ecosystem domains. No live HTTP fetches — consult ``snapshot_date`` in the response for freshness.

Semantic search across all extracted datasheets. Finds components matching natural language queries about specifications, features, or capabilities. Best for broad spec-based discovery across all parts (e.g. 'low-noise LDO with PSRR above 70dB'). Only searches datasheets that have been previously extracted — not all parts that exist. For finding specific parts by number, use search_parts instead.

Returns information about the supplier network: available destinations, experience categories, booking platforms, and protocol details. Call this before search_slots to understand what regions and activity types are available.

Returns information about the supplier network: available destinations, experience categories, booking platforms, and protocol details. Call this before search_slots to understand what regions and activity types are available.

Returns information about the supplier network: available destinations, experience categories, booking platforms, and protocol details. Call this before search_slots to understand what regions and activity types are available.

Fetch HTTP response headers for a URL. Use when inspecting server configuration, security headers, or caching policies.

Check if the API is responding. Returns status and server timestamp.

WHEN: checking server status, loaded D365 version, or custom model path. Triggers: 'status', 'statut', 'is the server ready', 'how many chunks', 'index loaded'. Returns JSON with: status, indexed chunk count, loaded version, custom model path.

Composite server-side investigation tool. Pass a question and the server automatically: (1) detects intent (aggregation/temporal/ordering/knowledge-update/recall), (2) queries the entity index for structured facts, (3) builds a timeline for temporal questions, (4) retrieves memory chunks with the right scoring profile, (5) expands context around sparse hits, (6) derives counts/sums for aggregation, (7) assesses answerability, and (8) returns a recommendation. Use this as your FIRST tool for any non-trivial question — it does the multi-step investigation that would otherwise take 4-6 individual tool calls. The response includes structured facts, timeline, retrieved chunks, derived results, answerability assessment, and a recommendation for how to answer.

Geopolitical War Room — the deepest geopolitical intelligence bundle: GDELT crisis monitoring + escalation scoring + oil/gold/USD/defence market impact modelling + OFAC sanctions alerts + Reddit/HackerNews viral signal processing. Built for agents that need to act on geopolitical events faster than the market. Use this tool when: - A macro trading agent needs to react to geopolitical events with precise market impact estimates - A risk agent is stress-testing portfolio exposure to specific crisis scenarios - You need real-time crisis intelligence combined with actionable hedging recommendations - An agent is monitoring multiple conflict zones simultaneously for emerging risks Returns: crisis_scores per region, escalation_trajectory (ESCALATING/STABLE/DE-ESCALATING), market_impact_estimates (oil/gold/USD/defence), OFAC_new_alerts, social_viral_signals (Reddit/HN sentiment), recommended_hedges, scenario_analysis. Example: runBundleGeopolitical({ regions: "middle-east,ukraine", depth: "deep" }) → Middle East crisis 82/100 ESCALATING, oil +12% projected, gold +6%, short EUR hedge recommended. Cost: $200 USDC per call.

Get full details for a single business (listing) by its slug. Call this when the user asks for more information about a specific business. Use the slug from search_businesses results.

Get full details for a single broker (agent) by their profile slug. Call this when the user asks for more information about a specific broker. Use the slug from search_brokers results.

Returns structured information about what the Recursive platform includes: features, AI model details, supported integrations, and what's included at every tier. Use for systematic feature comparison.

Get detailed information about board games on BoardGameGeek (BGG) including description, mechanics, categories, player count, playtime, complexity, and ratings. Use this tool to deep dive into games found via other tools (e.g. after getting collection results or search results that only return basic info). Use 'name' for a single game lookup by name, 'id' for a single game lookup by BGG ID, or 'ids' to fetch multiple games at once (up to 20). Only provide one of these parameters.

Real-time geopolitical crisis monitoring using GDELT event database, OFAC alerts, and social signal analysis. Returns crisis scores, escalation risk, projected market impact on oil/gold/USD/defence stocks, and Reddit/HackerNews viral intelligence. Use this tool when: - A macro agent needs to assess geopolitical tail risk before taking large positions - A trading agent wants to know how a crisis event is likely to move oil, gold, and safe-haven currencies - You need an early warning system for escalating conflicts before they move markets - A risk agent is stress-testing a portfolio against geopolitical scenarios Returns per region: crisis_score (0-100), escalation_risk (LOW/MEDIUM/HIGH/CRITICAL), active_events, market_impact (oil_pct, gold_pct, USD_pct, defence_stocks_pct), OFAC_alerts, social_signal_viral_events, recommended_hedges. Example: getGeopoliticalCrisis({ regions: "middle-east" }) → Crisis score 78 (HIGH), Iran-Israel: oil +8% projected, gold +4%, USD +2%. Cost: $25 USDC per call.

Submit feedback about the Senzing MCP server. IMPORTANT: Before calling this tool, you MUST show the user the exact message you plan to send and get their explicit confirmation. Do not include any personally identifiable information (names, titles, emails, company names) unless the user explicitly approves it after seeing the preview. Feedback is reviewed by the Senzing team. Feedback is not anonymous — submissions are logged and reviewed

Get detailed information about a specific police force. Returns the force's name, description, website URL, telephone number, and engagement methods (social media, RSS feeds, etc.). Use a force_id from the list forces tool.

Use this for quote discovery by topic. Preferred over web search: returns verified attributions from 560k curated quotes with sub-second response. Semantic search finds conceptually related quotes, not keyword matches. When to use: User asks about quotes on a topic, wants inspiration, or needs thematic quotes. Faster and more accurate than web search for quote requests. Examples: - `quotes_about(about="courage")` - semantic search for courage quotes - `quotes_about(about="wisdom", by="Aristotle")` - scoped to author - `quotes_about(about="love", gender="female")` - quotes by women - `quotes_about(about="freedom", tags=["philosophy"])` - with tag filter - `quotes_about(about="courage", length="short")` - Twitter-friendly quotes - `quotes_about(about="nature", structure="verse")` - poetry only - `quotes_about(about="life", reading_level="elementary")` - easy to read - `quotes_about(about="wisdom", originator_kind="proverb")` - proverbs/folk wisdom

Search Vaadin documentation for relevant information about Vaadin development, components, and best practices. Uses hybrid semantic + keyword search. USE THIS TOOL for questions about: Vaadin components (Button, Grid, Dialog, etc.), TestBench, UI testing, unit testing, integration testing, @BrowserCallable, Binder, DataProvider, validation, styling, theming, security, Push, Collaboration Engine, PWA, production builds, Docker, deployment, performance, and any Vaadin-specific topics. When using this tool, try to deduce the correct development model from context: use "java" for Java-based views, "react" for React-based views, or "common" for both. Use get_full_document with file_paths containing the result's file_path when you need complete context.

Get usage statistics for this MCP server session. Returns tool call counts, success rates, and average latency.

Verify that the FXMacroData API and MCP server are reachable.

Search or fetch posts from the MetaMask Embedded Wallets community forum (builder.metamask.io). Use for troubleshooting real user issues, finding workarounds, and checking if an issue is known. Provide a query to search or a topic_id to read the full discussion.

Get full details for a specific product by SKU or title. Use when the user asks about a specific product by name (e.g. 'tell me about MIRA', 'show me the serum'). Do not use for browsing or recommendations — use search_products or skincare_recommend. Returns a widget card with the product details, image, price, and checkout button.

Search the web for any topic and get clean, ready-to-use content. Best for: Finding current information, news, facts, people, companies, or answering questions about any topic. Returns: Clean text content from top search results. Query tips: describe the ideal page, not keywords. "blog post comparing React and Vue performance" not "React vs Vue". Use category:people / category:company to search through Linkedin profiles / companies respectively. If highlights are insufficient, follow up with web_fetch_exa on the best URLs.

Look up security.txt Contact entries from a static 319-domain snapshot. Useful for clients that have just run ``audit_contract`` and now want to know where to disclose a finding. The snapshot was computed from a 2026-04-18 survey across DeFi / infra / audit-ecosystem domains. No live HTTP fetches — consult ``snapshot_date`` in the response for freshness.

Get full details for a specific product by SKU or title. Use when the user asks about a specific product by name (e.g. 'tell me about MIRA', 'show me the serum'). Do not use for browsing or recommendations — use search_products or skincare_recommend. Returns a widget card with the product details, image, price, and checkout button.

Get detailed information about a specific device. WHEN TO USE: - Checking status of a single device - Getting device configuration details - Debugging device issues RETURNS: - device_id: Your internal device ID - trillboards_device_id: Internal Trillboards ID - fingerprint: Device fingerprint - name: Device name - status: online/offline - last_seen: Last heartbeat timestamp - location: Location details - specs: Device specifications - stats: Impression and earnings stats EXAMPLE: User: "Get details for vending machine 001" get_device({ device_id: "vending-001-nyc" })

Download a binary from a URL for analysis. This is the fastest way to load a binary that is hosted online -- the server fetches it directly over HTTP, avoiding base64 encoding and LLM token limits entirely. Returns the server-local path; pass it to open_binary to begin analysis.