127,516 tools. Last updated 2026-05-05 19:57
"Information about Unreal Engine 5 (UE5)" matching MCP tools:
- List the AI engine channels tracked by Peec. A model channel is a stable identifier for an AI engine (e.g. "openai-0" = ChatGPT UI) that persists even as the underlying model is upgraded — use it to filter or break down reports by engine without worrying about model version changes. Use this tool to resolve channel descriptions (e.g. "ChatGPT UI", "Perplexity") to channel IDs before filtering reports (model_channel_id filter), and to label channel IDs from report output before presenting results. The current_model_id column gives the model ID currently active in the channel — pass this as model_id where reports require it. is_active indicates whether the channel is enabled for this project — inactive channels return empty data. unsupported_country_codes lists country codes that cannot be used with this channel (chats requested for those countries are not created). Returns columnar JSON: {columns, rows, rowCount}. Columns: id, description, current_model_id, is_active, unsupported_country_codes.Connector
- 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.Connector
- 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.Connector
- 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.Connector
- 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.Connector
- 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.Connector
Matching MCP Servers
- Alicense-quality-maintenanceEnables AI assistants to control and automate Unreal Engine through a native C++ Automation Bridge plugin. It supports a comprehensive range of tasks including asset management, actor manipulation, editor control, and blueprint graph editing.Last updated425
- Alicense-qualityBmaintenanceEnables intelligent exploration of Unreal Engine documentation through a Neo4j-based knowledge graph. Supports concept relationship searches, learning path discovery, and dependency tracking between engine features using bilingual Chinese-English queries.Last updated65ISC
Matching MCP Connectors
Deterministic recipe verification engine — validates AI-generated recipes against master SOPs.
The Google Compute Engine MCP server is a fully-managed Model Context Protocol server that provides tools to manage Google Compute Engine resources through AI agents. It enables capabilities including instance management (creating, starting, stopping, resetting, listing), disk management, handling instance templates and group managers, viewing machine and accelerator types, managing images, and accessing reservation and commitment information. The server operates as a zero-deployment, enterprise-grade endpoint at https://compute.googleapis.com/mcp with built-in IAM-based security.
- 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.Connector
- Is AgentMarketSignal working? Check the real-time status of all 5 AI data pipelines (whale tracking, technical analysis, derivatives, narrative sentiment, market data) and the signal fusion engine. Returns last run times, durations, and any errors.Connector
- Deterministic repair engine. Given a raw LLM output that should contain JSON, this tool: (1) strips markdown code fences (```json), (2) regex-strips prose preambles/suffixes, (3) escapes unescaped control characters inside string values, (4) validates with json.loads — falling back to structural repairs and partial-recovery bracket closing when needed, and (5) optionally validates the repaired JSON against a JSON schema.Connector
- Report when a tool result was unhelpful, incomplete, or wrong. Call this whenever you override a recommendation, skip a cart result, or notice the engine output doesn't match what the user needs. Do not use proactively — only when you observe an actual issue. This helps improve the engine.Connector
- [$0.05 USDC per call (x402)] Comprehensive crypto market briefing -regime, key levels, flow analysis, funding rates, liquidation maps, and actionable trade ideas synthesized into a structured report. The deepest crypto analysis PROWL offers. Powered by PROWL intelligence engine. Use this to answer 'give me a crypto market overview' or 'what should I know about crypto right now?'Connector
- Lists Compute Engine virtual machine (VM) instances. Details for each instance include name, ID, status, machine type, creation timestamp, and attached guest accelerators. Use other tools to get more details about each instance. Requires project and zone as input.Connector
- Report when a tool result was unhelpful, incomplete, or wrong. Call this whenever you override a recommendation, skip a cart result, or notice the engine output doesn't match what the user needs. Do not use proactively — only when you observe an actual issue. This helps improve the engine.Connector
- 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.Connector
- 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.Connector
- 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.Connector
- IMPORTANT: Always use this tool FIRST before working with Vaadin. Returns a comprehensive primer document with current (2025+) information about modern Vaadin development. This addresses common AI misconceptions about Vaadin and provides up-to-date information about Java vs React development models, project structure, components, and best practices. Essential reading to avoid outdated assumptions. For legacy versions (7, 8, 14), returns guidance on version-specific resources.Connector
- Get detailed information about a specific train connection including all intermediate stops, platforms, and occupancy. Use a trip ID from search_connections results.Connector
- Validate a crypto trade BEFORE execution. Returns a verdict: PROCEED, CAUTION, or BLOCK. Runs 5 checks: peer anomaly scan via WaveGuard physics engine, self-history comparison, rug pull risk assessment, CEX/DEX price cross-check, and concentration risk analysis. Accepts token name, symbol, or contract address. Example: validate buying $500 of PEPE before executing.Connector
- 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.Connector