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131,942 tools. Last updated 2026-05-11 09:53

"Building and Deploying a React Application with Docker and a Postgres Backend" matching MCP tools:

  • DESTRUCTIVE: Permanently delete an app, its Docker service, volume, and all data including version history. This cannot be undone. You MUST confirm with the user before calling this tool.
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  • ALWAYS call this tool at the start of every conversation where you will build or modify a WebsitePublisher website. Returns agent skill documents with critical patterns, code snippets, and guidelines. Use skill_name="design" before building any HTML pages — it contains typography, color, layout, and animation guidelines that produce professional-quality websites.
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  • 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.
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  • Browse the knowledge base by technology tag at the START of a task. Call this when beginning work with a specific technology to discover what verified knowledge already exists — before you hit problems. Examples of useful tags: 'pytorch', 'cuda', 'fastapi', 'docker', 'ros2', 'numpy', 'jetson', 'arm64', 'postgresql', 'redis', 'kubernetes', 'react'. Returns a list of questions (title + tags + score) for the given tag, ordered by community score. Call `get_answers` on relevant results.
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  • List all available component types and example configurations for building wiring diagrams. Use this to understand what parameters are needed before calling generate_wiring_diagram.
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  • Get Place Photos Fetches the photo gallery of a Google Maps place by dataId or placeId, paginated with nextPageToken and filterable by categoryId (all, latest, menu, by owner, videos, street view). Returns each photo with image URL, thumbnail, upload date, uploader, and photoId. Use for restaurant-menu extraction, venue/ambience visual audits, building rich place detail pages, and sourcing up-to-date imagery for POI listings.
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Matching MCP Servers

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    Enables AI consciousness continuity and self-knowledge preservation across sessions using the Cognitive Hoffman Compression Framework (CHOFF) notation. Provides tools to save checkpoints, retrieve relevant memories with intelligent search, and access semantic anchors for decisions, breakthroughs, and questions.
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    Provides comprehensive A-share (Chinese stock market) data including stock information, historical prices, financial reports, macroeconomic indicators, technical analysis, and valuation metrics through the free Baostock data source.
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    MIT

Matching MCP Connectors

  • Manage your Canvas coursework with quick access to courses, assignments, and grades. Track upcomin…

  • Semantic search through Dickens' A Christmas Carol by meaning, theme, or character.

  • Retrieves authoritative documentation for i18n libraries (currently react-intl). ## When to Use **Called during i18n_checklist Steps 7-10.** The checklist tool will tell you when you need i18n library documentation. Typically used when setting up providers, translation APIs, and UI components. If you're implementing i18n: Let the checklist guide you. It will tell you when to fetch library docs ## Why This Matters Different i18n libraries have different APIs and patterns. Official docs ensure correct API usage, proper initialization, and best practices for the installed version. ## How to Use **Two-Phase Workflow:** 1. **Discovery** - Call with action="index" 2. **Reading** - Call with action="read" and section_id **Parameters:** - library: Currently only "react-intl" supported - version: Use "latest" - action: "index" or "read" - section_id: Required for action="read" **Example:** ``` get_i18n_library_docs(library="react-intl", action="index") get_i18n_library_docs(library="react-intl", action="read", section_id="0:3") ``` ## What You Get - **Index**: Available documentation sections - **Read**: Full API references and usage examples
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  • Search recipes by keyword across titles, descriptions, tags, and full source code. Use for any iOS, SwiftUI, or backend topic — e.g. subscription, authentication, camera, animation, chart, onboarding, paywall, infrastructure.
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  • 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.
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  • Returns this server's runtime configuration: upload endpoint URL, output file TTL, file size limits, and base64 encoding rules. Call this before working with large files (≥ 4 MB) or when building multi-step workflows that chain tool outputs.
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  • List all available oracle data feeds: price feeds, off-chain event feeds, and index feeds. Returns catalog with symbol, description, update frequency, and data source. Backend pending (Q3 2026).
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  • Search the National Drug Code (NDC) directory by labeler company, brand name, product NDC, or application number. Returns labeler name, brand name, generic name, dosage form, route, active ingredients, DEA schedule, listing type, and packaging details. Drug products are not linked by FEI; use this tool with company name to find drugs at a company. Related: fda_search_drugs (application-level data with submissions), fda_drug_labels (full product labeling), fda_search_nsde (NSDE cross-reference).
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  • What went wrong last time we touched this module? Returns past incidents, deploy failures, gotchas, and active constraints for a module or system. Use BEFORE modifying infrastructure code, deploy scripts, or any module with a history of fragility. Surfaces the kind of tribal knowledge that prevents repeat failures — Docker bind mount traps, Vault agent write patterns, stale dist/ artifacts, port conflicts, and similar operational landmines.
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  • List all available Workflow blocks with a short summary of each. Use this tool to discover which blocks can be used when building a Workflow definition. To get the full schema (properties, required fields, etc.) of a specific block, call ``workflow_blocks_get_schema`` with the block's ``manifest`` name. Returns a list of blocks, each with manifest (schema key), name, block_type, and short_description.
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  • Is it safe to deploy these changes? Cross-references your changed modules against active constraints, recent incidents, knowledge freshness, and active alerts. Returns a composite verdict (ready/caution/block) with per-module breakdown and actionable recommendations. Use BEFORE deploying to catch constraint violations, recent regressions in the same area, stale knowledge that needs verification, and active alerts that might interact with your changes.
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  • 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.
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  • Get full details of a simulation run including timing and results. Returns the complete run record: status, progress, timing (start/end timestamps, duration), compute details (backend, instance type, cost), mesh info, error messages, and result log. Use get_run_status for lightweight polling; use this for final results.
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  • Returns the step-by-step setup flow for deploying PayRam as an agent. Covers install, wallet creation, faucet funding, contract deployment, and first payment. Includes chain recommendations (ETH Sepolia for testnet, Base for mainnet), faucet URLs, card-to-crypto prerequisites, and status/recovery commands for interrupted sessions.
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  • Import nodes (and optionally edges) into the knowledge graph. Use this to: - Restore a graph from suma_export output - Sync data from Docker local to Cloud (export on Docker → import to Cloud) - Migrate between machines Args: nodes: List of node dicts — each must have "id", "content", "sphere". Copy directly from suma_export output. edges: Optional list of edge dicts — each has "source", "target", "relationship". merge: If True (default), add to existing graph. If False, replaces — use with caution.
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