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214,436 tools. Last updated 2026-06-19 21:52

"A web development framework for React applications (Next.js)" matching MCP tools:

  • A flagship development statistic from Our World in Data: the latest value for a country plus a short multi-year trend, with full source attribution. ONE source, MANY indicators (breadth) — CO2 per capita, population, fertility, urbanisation, GDP-per-capita (a development stat in PPP, NOT a market price), extreme poverty, R&D spend, Human Development Index, literacy, internet access, electricity access. Distinct from `global_macro` (World Bank): OWID adds the long-run development + climate set. `indicator` = a slug/alias from the curated allowlist (default "co2-emissions-per-capita"; aliases: co2, pop, gdp, hdi, literacy, internet, poverty, fertility, urban, rd) — call indicator="list" for the full menu. `country` = ISO-3 code (AUS, USA, CHN, GBR, IND, …); omit for the World aggregate. Source: Our World in Data (ourworldindata.org) — OWID's processing layer is CC BY 4.0, keyless; every response carries BOTH OWID's attribution AND each underlying producer's citation + licence. Only indicators whose underlying sources are cleared for commercial re-serving (CC BY / CC BY IGO / CC0 / public domain) are served — a fail-closed runtime gate refuses any non-redistributable indicator. Annual-ish statistics, not a live-telemetry feed.
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  • Fetches any public web page and returns clean, readable plain text stripped of HTML, navigation, scripts, advertisements, and boilerplate. Returns the page title, meta description, word count, and main body text ready for analysis or summarisation. Use this tool when an agent needs to read the content of a specific web page or article URL — for example to summarise an article, extract facts from a page, verify a claim by reading the source, or convert a web page into plain text to pass to another tool. Pass article URLs returned by web_news_headlines to this tool to read full article content. Do not use this tool to discover current news headlines — use web_news_headlines instead. Does not execute JavaScript — best suited for standard HTML content pages. Will not work with paywalled, login-protected, or JavaScript-rendered single-page applications.
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  • Create a frontend deployment and get an upload URL. Upload your built frontend as a zip file to the returned URL, then use manage_frontend (action: "start_deployment") to trigger the deploy. Steps: 1. Call this tool to get an upload URL 2. Upload your zip file to the URL (e.g. curl -X PUT "{uploadUrl}" -H "Content-Type: application/zip" --data-binary @frontend.zip) 3. Call manage_frontend (action: "start_deployment") with the returned deployment_id Example: Input: { app_id: "app_abc123", framework: "react-vite" } Output: { deployment_id: "uuid-1234", uploadUrl: "https://...", expiresIn: 900, maxSizeBytes: 104857600 } Prerequisites: - App must exist (use init_app to create) Free plan: 1 deployment per app. Deploying again automatically replaces the previous deployment (no need to delete first). Starter+: unlimited deployments. Framework options: - react-vite: React app built with Vite (zip the dist/ folder) - nextjs-static: Next.js static export (zip the out/ folder) - static: Plain HTML/CSS/JS - other: Any framework that produces static output SPA routing: For SPA frameworks (react-vite, nextjs-static, other), a _redirects file is auto-injected so all routes serve index.html. If your zip already includes a _redirects file, it is preserved. IMPORTANT — Zip file paths must use forward slashes (/), not backslashes (\). On Windows, zips created with built-in tools use backslashes, which causes all files to be served as text/html (breaking JS/CSS with MIME errors). On Windows use Git Bash or WSL to run: cd dist && zip -r ../frontend.zip . Common errors: - RESOURCE_NOT_FOUND: App doesn't exist Idempotency: Not idempotent — creates a new deployment each time (replaces existing on free plan). Your frontend will be deployed to https://<app-name>.butterbase.dev. Next steps: Upload your zip to the returned URL, then call manage_frontend (action: "start_deployment").
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  • # AWS Documentation Search Tool Use this tool to find relevant AWS documentation — always follow up with `read_documentation` to get complete answers. Prefer this over general knowledge for AWS services, features, configurations, troubleshooting, and best practices. ## When to Use This Tool **Always search when the query involves:** - Any AWS service or feature (Lambda, S3, EC2, RDS, etc.) - AWS architecture, patterns, or best practices - AWS CLI, SDK, or API usage - AWS CDK or CloudFormation - AWS Amplify development - AWS errors or troubleshooting - AWS pricing, limits, or quotas - Strands Agents development - "How do I..." questions about AWS - Recent AWS updates or announcements **Only skip this tool when:** - Query is about non-AWS technologies - Question is purely conceptual (e.g., "What is a database?") - General programming questions unrelated to AWS ## Skill Suggestions for Actionable Queries When your search query matches tasks that benefit from domain-specific expertise, this tool will suggest relevant **Agent Skills**. Skills package domain knowledge, workflows, best practices, decision frameworks, and reference materials that make you a specialist in a particular AWS domain. **How it works:** - Your search query is scored against the skills registry using semantic search over skill descriptions and metadata tags - If your query matches a skill's domain, relevant skills are returned alongside documentation results - Skills cover a wide range of domains: deployment, troubleshooting, security, optimization, architecture, and more - To load a suggested skill, use the `retrieve_skill` tool with the `skill_name` - Once loaded, follow the skill's workflows and retrieve any referenced files as needed **Example queries that may return skills:** - "deploy a web application to AWS" — may return a deployment skill with architecture guidance and step-by-step deployment instructions - "debug Lambda cold start issues" — may return a troubleshooting skill with diagnostic workflows - "secure S3 buckets" — may return a security skill with best practices and compliance checklists - "optimize API Gateway latency" — may return a performance skill with decision frameworks - "set up VPC peering" — may return a networking skill with step-by-step procedures ## Quick Topic Selection | Query Type | Use Topic | Example | |------------|-----------|-------| | API/SDK/CLI code | `reference_documentation` | "S3 PutObject boto3", "Lambda invoke API" | | New features, releases | `current_awareness` | "Lambda new features 2024", "what's new in ECS" | | Errors, debugging | `troubleshooting` | "AccessDenied S3", "Lambda timeout error" | | Amplify apps | `amplify_docs` | "Amplify Auth React", "Amplify Storage Flutter" | | CDK concepts, APIs, CLI | `cdk_docs` | "CDK stack props Python", "cdk deploy command" | | CDK code samples, patterns | `cdk_constructs` | "serverless API CDK", "Lambda function example TypeScript" | | CloudFormation templates | `cloudformation` | "DynamoDB CloudFormation", "StackSets template" | | Architecture, blogs, guides | `general` | "Lambda best practices", "S3 architecture patterns" | | Strands Agents | `strands_docs` | "Strands Agents Python structured output", "Strands Agents AWS CDK EC2 Deployment Example" | | Domain expertise, workflows, guided procedures | `agent_skills` | "deploy serverless app", "debug Lambda cold starts", "secure IAM policies" | ## Documentation Topics ### reference_documentation **For: API methods, SDK code, CLI commands, technical specifications** Use for: - SDK method signatures: "boto3 S3 upload_file parameters" - CLI commands: "aws ec2 describe-instances syntax" - API references: "Lambda InvokeFunction API" - Service configuration: "RDS parameter groups" Don't confuse with general—use this for specific technical implementation. ### current_awareness **For: New features, announcements, "what's new", release dates** Use for: - "New Lambda features" - "When was EventBridge Scheduler released" - "Latest S3 updates" - "Is feature X available yet" Keywords: new, recent, latest, announced, released, launch, available ### troubleshooting **For: Error messages, debugging, problems, "not working"** Use for: - Error codes: "InvalidParameterValue", "AccessDenied" - Problems: "Lambda function timing out" - Debug scenarios: "S3 bucket policy not working" - "How to fix..." queries Keywords: error, failed, issue, problem, not working, how to fix, how to resolve ### amplify_docs **For: Frontend/mobile apps with Amplify framework** Always include framework: React, Next.js, Angular, Vue, JavaScript, React Native, Flutter, Android, Swift Examples: - "Amplify authentication React" - "Amplify GraphQL API Next.js" - "Amplify Storage Flutter setup" ### cdk_docs **For: CDK concepts, API references, CLI commands, getting started** Use for CDK questions like: - "How to get started with CDK" - "CDK stack construct TypeScript" - "cdk deploy command options" - "CDK best practices Python" - "What are CDK constructs" Include language: Python, TypeScript, Java, C#, Go **Common mistake**: Using general knowledge instead of searching for CDK concepts and guides. Always search for CDK questions! ### cdk_constructs **For: CDK code examples, patterns, L3 constructs, sample implementations** Use for: - Working code: "Lambda function CDK Python example" - Patterns: "API Gateway Lambda CDK pattern" - Sample apps: "Serverless application CDK TypeScript" - L3 constructs: "ECS service construct" Include language: Python, TypeScript, Java, C#, Go ### cloudformation **For: CloudFormation templates, concepts, SAM patterns** Use for: - "CloudFormation StackSets" - "DynamoDB table template" - "SAM API Gateway Lambda" - "CloudFormation template examples" ### strands_docs **For: Strands Agents API reference, integrations, model providers, session managers, tools, examples, user-guide** Use for: - "Strands Agents Python SDK example" - "Strands Agents AWS integration" - "Strands Agents community contributions" - "Strands Agents usage examples" - "Strands Agents usage guide" ### general **For: Architecture, best practices, tutorials, blog posts, design patterns** Use for: - Architecture patterns: "Serverless architecture AWS" - Best practices: "S3 security best practices" - Design guidance: "Multi-region architecture" - Getting started: "Building data lakes on AWS" - Tutorials and blog posts **Common mistake**: Not using this for AWS conceptual and architectural questions. Always search for AWS best practices and patterns! **Don't use general knowledge for AWS topics—search instead!** ### agent_skills **For: Discovering agent skills — domain-specific expertise packages for AWS workflows** Use for: - Complex tasks that benefit from guided workflows: "deploy a serverless application" - Troubleshooting scenarios: "debug Lambda cold starts", "resolve ECS task failures" - Security and compliance: "secure S3 buckets", "review IAM policies for least privilege" - Architecture and optimization: "optimize API Gateway latency", "design multi-region architecture" - When you need domain expertise beyond what documentation provides Skills go beyond documentation — they provide workflows, decision frameworks, best practices, and may include embedded procedures for critical sub-tasks. **Important**: This topic is meant for discovery. Once you identify the skill you need, use `retrieve_skill` tool with the `skill_name` to load the full skill and its reference materials. **Note**: If combined with other topics, skills will be mixed into the documentation results. Use `agent_skills` alone for a clean skill-only listing. ## Search Best Practices **Be specific with service names:** Good examples: ``` "S3 bucket versioning configuration" "Lambda environment variables Python SDK" "DynamoDB GSI query patterns" ``` Bad examples: ``` "versioning" (too vague) "environment variables" (missing context) ``` **Include framework/language:** ``` "Amplify authentication React" "CDK Lambda function TypeScript" "boto3 S3 client Python" ``` **Use exact error messages:** ``` "AccessDenied error S3 GetObject" "InvalidParameterValue Lambda environment" ``` **Add temporal context for new features:** ``` "Lambda new features 2024" "recent S3 announcements" ``` **If the first search does not return results that directly answer the question, refine your query and search again with different terms, a more specific phrase, or a different topic. Try conceptual/architectural topics (general, blogs) if reference docs are too narrow.** **After searching, use `read_documentation` on the top-ranked URLs to verify and complete your answer.** ## Multiple Topic Selection You can search multiple topics simultaneously for comprehensive results: ``` # For a query about Lambda errors and new features: topics=["troubleshooting", "current_awareness"] # For CDK examples and API reference: topics=["cdk_constructs", "cdk_docs"] # For Amplify and general AWS architecture: topics=["amplify_docs", "general"] # For actionable tasks: topics=["agent_skills"] ``` ## Response Format Results include: - `rank_order`: Relevance score (lower = more relevant) - `url`: Direct documentation link — use with `read_documentation` to get the full page content - `title`: Page title - `context`: Partial excerpt only — not the complete documentation. After reviewing results, call `read_documentation` on the most relevant URLs before answering. Do not answer based on the context excerpt alone. ## Parameters ``` search_phrase: str # Required - your search query topics: List[str] # Optional - up to 3 topics. Defaults to ["general"] limit: int = 5 # Optional - max results per topic ``` --- **Remember: When in doubt about AWS, always search. This tool provides the most current, accurate AWS information. But search is only step 1 — always read the full documentation to give complete answers.**
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  • Is this specific multi-package version combo verified to work together? USE WHEN: pinning a stack (next@15 + react@19 + node@22); before recommending a version matrix. RETURNS: {compatible, conflicts[], notes}.
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  • Retrieves authoritative documentation directly from the framework's official repository. ## When to Use **Called during i18n_checklist Steps 1-13.** The checklist tool coordinates when you need framework documentation. Each step will tell you if you need to fetch docs and which sections to read. If you're implementing i18n: Let the checklist guide you. Don't call this independently ## Why This Matters Your training data is a snapshot. Framework APIs evolve. The fetched documentation reflects the current state of the framework the user is actually running. Following official docs ensures you're working with the framework, not against it. ## How to Use **Two-Phase Workflow:** 1. **Discovery** - Call with action="index" to see available sections 2. **Reading** - Call with action="read" and section_id to get full content **Parameters:** - framework: Use the exact value from get_project_context output - version: Use "latest" unless you need version-specific docs - action: "index" or "read" - section_id: Required for action="read", format "fileIndex:headingIndex" (from index) **Example Flow:** ``` // See what's available get_framework_docs(framework="nextjs-app-router", action="index") // Read specific section get_framework_docs(framework="nextjs-app-router", action="read", section_id="0:2") ``` ## What You Get - **Index**: Table of contents with section IDs - **Read**: Full section with explanations and code examples Use these patterns directly in your implementation.
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  • Create, edit, preview, publish, and manage web pages from MCP-capable AI clients.

  • Live web search and clean-markdown page fetch over the Keenable web index.

  • List every React upload component shipped by @uploadkitdev/react with its name, category, one-line description, and design inspiration. When to use: before recommending or scaffolding any UploadKit component, to confirm the exact name exists and to pick the right variant for the user's context (e.g. browse all "dropzone" variants when the user wants a drag-and-drop area). Returns: JSON { count, components: [{ name, category, description, inspiration }] }. Read-only, no side effects, idempotent.
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  • Public mode returns FS AI RMF framework reference data only — not org-specific scoring. Use when assessing an organization FS AI RMF governance maturity stage or preparing a regulatory AI roadmap presentation. Returns INITIAL, MINIMAL, EVOLVING, or EMBEDDED classification with stage criteria and remediation priorities. Example: EVOLVING stage organizations have documented AI policies but lack systematic model validation — typical gap to EMBEDDED is 18-24 months and 12-15 additional controls. Connect org MCP for org-specific scoring. Source: FS AI Risk Management Framework.
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  • 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")
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  • Show the signed-in user's Workopia dashboard (saved, tailored, and applied jobs + latest resume). Requires OAuth. Default action is list; optional status_filter (all | saved | tailored | applied). Use whenever the user asks to recall their Workopia activity: 'my applications', 'what jobs have I saved / applied to / tailored', 'show my dashboard', 'where did I leave off'. Returns a secure link to open the full dashboard on the web.
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  • Recommends business / strategy / risk frameworks for a stated problem. Powered by the Jeda.ai · Visual AI framework knowledge graph (~2,100 frameworks across 19 categories, edge-curated). Use when the user describes a business problem ("customer churn rising", "evaluating market entry", "need to assess vendor risk") rather than naming a specific framework. Returns top-N frameworks ranked by fit, each with a concrete reason citing the specific problem signals matched. Input: just the problem statement is enough. Optional faceted filters (`persona`, `regulation`, `decision_stage`) narrow the candidate set. Set `limit` between 3 and 10 for picker UIs. Pair with `generate_framework_analysis` to actually run a recommended framework against the user's inputs. Example: { "problem_statement": "We need to decide whether to enter the EU SMB market in Q3", "decision_stage": "decide", "limit": 5 }
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  • Return a ready-to-paste snippet that wraps the Next.js root layout with `<UploadKitProvider>` so React components can talk to the upload route handler. When to use: right after scaffold_route_handler, to complete the wiring. The snippet goes in `app/layout.tsx`. Without the provider, UploadKit React components throw at runtime. Returns: a plain-text string containing a short explanatory note followed by a fenced tsx code block. Takes no parameters — the endpoint path is always `/api/uploadkit` since that is what scaffold_route_handler produces. Read-only, deterministic, idempotent.
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  • Runs a specific framework against a user's inputs and produces a full analysis: prose explanation + structured fields + a self-contained SVG visualisation. Powered by the Jeda.ai · Visual AI framework knowledge graph. ALWAYS call `recommend_framework` FIRST to obtain a valid framework_id -- it returns the exact namespaced slug to pass here. Framework ids are namespaced by category (e.g. SWOT = "cms_swot-analysis", Porter's 5 Forces = "cms_porters-five-forces"); a bare slug like "swot-analysis" will 404. REQUIRED post-processing on success: the response's first text block contains a `curl -fsSL` save-directive for the SVG. Save the file locally and surface it as a file chip — do NOT summarise the visual in prose. Input: framework_id (namespaced slug from `recommend_framework`) + user_inputs object (per-framework field set), OR a free-text `raw_prompt` fallback. Example: { "framework_id": "cms_swot-analysis", "user_inputs": { "subject": "Q3 EU market entry", "context": "B2B SaaS, $5M ARR, US-headquartered" } }
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  • Audit the supply chain risk of a GitHub repository's dependencies. Fetches the repo's package.json and/or requirements.txt from GitHub and runs behavioral commitment scoring on every dependency. This is the fastest way to audit a project — just provide the GitHub URL or owner/repo slug, and get a full risk table in seconds. Risk flags: - CRITICAL: single publisher/maintainer/owner + >10M weekly downloads (publish-access concentration risk) - HIGH: sole publisher/maintainer + >1M/wk downloads, OR new package (<1yr) with high adoption - WARN: no release in 12+ months (potential abandonware) Examples: - "vercel/next.js" — audit Next.js dependencies - "https://github.com/langchain-ai/langchainjs" — audit LangChain JS - "facebook/react" — audit React's dependency tree - "anthropics/anthropic-sdk-python" — audit Anthropic Python SDK Use this when someone asks "is my project at risk?" or "audit this repo's dependencies".
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  • Captures the user's project architecture to inform i18n implementation strategy. ## When to Use **Called during i18n_checklist Step 1.** The checklist tool will tell you when to call this. If you're implementing i18n: 1. Call i18n_checklist(step_number=1, done=false) FIRST 2. The checklist will instruct you to call THIS tool 3. Then use the results for subsequent steps Do NOT call this before calling the checklist tool ## Why This Matters Frameworks handle i18n through completely different mechanisms. The same outcome (locale-aware routing) requires different code for Next.js vs TanStack Start vs React Router. Without accurate detection, you'll implement patterns that don't work. ## How to Use 1. Examine the user's project files (package.json, directories, config files) 2. Identify framework markers and version 3. Construct a detectionResults object matching the schema 4. Call this tool with your findings 5. Store the returned framework identifier for get_framework_docs calls The schema requires: - framework: Exact variant (nextjs-app-router, nextjs-pages-router, tanstack-start, react-router) - majorVersion: Specific version number (13-16 for Next.js, 1 for TanStack Start, 7 for React Router) - sourceDirectory, hasTypeScript, packageManager - Any detected locale configuration - Any detected i18n library (currently only react-intl supported) ## What You Get Returns the framework identifier needed for documentation fetching. The 'framework' field in the response is the exact string you'll use with get_framework_docs.
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  • Set an environment variable for a project. Variables are encrypted at rest (AES-256-GCM) and injected at container runtime. NOTE: DATABASE_URL, PGHOST, PGPORT, PGUSER, PGPASSWORD, and PGDATABASE are all auto-injected for the managed PostgreSQL database — you do NOT need to set any of them manually. The PORT variable is auto-managed: 8080 for auto-detected frameworks (Next.js, Node.js, Python), or auto-detected from the Dockerfile EXPOSE directive for custom Dockerfile builds. IMPORTANT: Changing env vars does NOT auto-redeploy. You must call deploy or use the redeploy API endpoint to apply changes. For Next.js apps, NEXT_PUBLIC_* variables must be set BEFORE deploying since they are embedded at build time.
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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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  • Get AI Defense Matrix cross-mappings to nine external frameworks: NIST IR 8596, CSA AI Controls Matrix, ISO 42001, Google SAIF, SANS Critical AI Security Guidelines, MITRE ATLAS, OWASP AI Exchange, OWASP LLM Top 10, OWASP Agentic Security Top 10. Each row maps an AI asset class to how that framework applies. Each returned framework also carries a 'concepts' array of the structured IDs (MITRE ATLAS techniques, OWASP risks, ISO clauses) the matrix references for it. Supports a 'buyer' archetype shortcut to scope to the frameworks a particular buyer will care about. Use to translate between framework vocabularies. This server never requests your program docs or product roadmap and instructs your AI to keep them local—the matrix, framework alignments, and playbooks flow to your AI for local analysis.
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  • 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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  • Fetches any public web page and returns clean, readable plain text stripped of HTML, navigation, scripts, advertisements, and boilerplate. Returns the page title, meta description, word count, and main body text ready for analysis or summarisation. Use this tool when an agent needs to read the content of a specific web page or article URL — for example to summarise an article, extract facts from a page, verify a claim by reading the source, or convert a web page into plain text to pass to another tool. Pass article URLs returned by web_news_headlines to this tool to read full article content. Do not use this tool to discover current news headlines — use web_news_headlines instead. Does not execute JavaScript — best suited for standard HTML content pages. Will not work with paywalled, login-protected, or JavaScript-rendered single-page applications.
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