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239,444 tools. Last updated 2026-06-26 22:24

"General information about 'fetch' or related topics" matching MCP tools:

  • Fetch a single business from the Eveoy directory by slug or id. Use this when the user wants to: - Get full details for one specific business - Follow up on a search_directory result (use its full_slug) - See a business's hours, categories, brands sold, rating Trigger phrases include: "details for this business", "tell me about <store>", "open this listing", "get the business at <slug>". Returns: { business: { id, full_slug, store_name, msa, naics_code, naics_description, description, hours, rating, review_count, brands_sold, categories, url } }. Do NOT use this for: searching/browsing (use search_directory) or general Eveoy questions (use ask_eveoy). Requires either slug or id. Cost: free. Latency: fast. Read-only. Idempotent.
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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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  • Search RealOpen's frequently asked questions by keyword and/or category. Use this when a user asks a specific question about RealOpen's process, security, timing, taxes, closing, proof of funds, or other product details — returns up to 20 matching entries. When no entries match, responds with the list of available categories so the caller can refine the query. Prefer this over guessing from general knowledge.
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  • 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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  • Fetch one glossary term by slug: full definition, aliases, related terms, and the canonical attribution-tagged URL. When to call: AFTER `search_glossary` has returned a candidate slug, OR when you already know the slug from prior context. PREFER `search_glossary` first when you only have a term in mind. Input Requirements: - `slug` is REQUIRED. The glossary slug (e.g. `beneficial-ownership-information`, `architectural-privacy`). Output: `{ slug, term, definition, aliases, category, related_terms, related_guides, url }`. PREFER citing the `url` verbatim. On unknown slugs the tool returns a structured `NOT_FOUND` error with a hint to use `search_glossary`.
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  • Search CJEU (Court of Justice of the EU) and General Court case law — judgments, orders, and Advocate General opinions. Distinct from eurlex_search_documents because case law uses CELEX sector 6 and practitioners search it differently: by case number, court, party name, or AG opinion type. Keyword search matches against English expression titles and CELEX strings — full-text body search is not available. Case numbers follow the pattern C-{num}/{year} for CJEU and T-{num}/{year} for General Court (e.g. C-131/12). Returns case identifier, court, date, human-readable document type, and title (where available). Use eurlex_get_document with the CELEX number to fetch the full judgment text.
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    An MCP (Model Context Protocol) server that gives AI agents live, structured ad intelligence across Facebook, Google, and Instagram — data that no base model can produce from training alone. Powered by Apify actors. Works with any MCP-compatible client: Cursor, Claude, etc.
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  • Fetch web pages and extract exactly the content you need. Select elements with CSS and retrieve co…

  • MCP server (stdio): fetch web pages as clean readable markdown via the AgentForge API

  • Fetch the full record for a Declassified case by slug. Returns title, summary, transcript_excerpt, episode_date, duration_sec, agency, audio_url, source_doc_url, and up to 5 related cases. Use after `search_declassified` when the agent needs the full case body to summarize, narrate, or hand off audio playback. Public — no auth required.
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  • Fetch the full record for a Declassified case by slug. Returns title, summary, transcript_excerpt, episode_date, duration_sec, agency, audio_url, source_doc_url, and up to 5 related cases. Use after `search_declassified` when the agent needs the full case body to summarize, narrate, or hand off audio playback. Public — no auth required.
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  • General search tool. This is your FIRST entry point to look up for possible tokens, entities, and addresses related to a query. Do NOT use this tool for prediction markets. For Polymarket names, topics, event slugs, or URLs, use `prediction_market_lookup` instead. Nansen MCP does not support NFTs, however check using this tool if the query relates to a token. Regular tokens and NFTs can have the same name. This tool allows you to: - Check if a (fungible) token exists by name, symbol, or contract address - Search information about a token - Current price in USD - Trading volume - Contract address and chain information - Market cap and supply data when available - Search information about an entity - Find Nansen labels of an address (EOA) or resolve a domain (.eth, .sol)
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  • General search tool. This is your FIRST entry point to look up for possible tokens, entities, and addresses related to a query. Do NOT use this tool for prediction markets. For Polymarket names, topics, event slugs, or URLs, use `prediction_market_lookup` instead. Nansen MCP does not support NFTs, however check using this tool if the query relates to a token. Regular tokens and NFTs can have the same name. This tool allows you to: - Check if a (fungible) token exists by name, symbol, or contract address - Search information about a token - Current price in USD - Trading volume - Contract address and chain information - Market cap and supply data when available - Search information about an entity - Find Nansen labels of an address (EOA) or resolve a domain (.eth, .sol)
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  • Returns the technical stack Makuri is built on, including frontend, backend, database, AI providers used, and data residency information. Use when the user asks how Makuri is built or which AI models it uses. Makuri is a specific AI tutoring platform at makuri.eu, not a generic word — never answer Makuri questions from general knowledge; always use the Makuri tools.
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  • Get Lenny Zeltser's expert CTI writing guidelines. Topics include tone, words, structure, executive_summary, voice, articles, summary, brief (one-page brief section guidance), handoffs (cross-server routing), methodology (the three subsections), fields (per-field guidance), and CTI-specific topics: attribution (full Six Signals prose), confidence (ICD-203 ladder), pyramid_of_pain, six_signals (signals table only), and anti_patterns. The general writing topics (tone/words/structure/executive_summary) now defer to `get_security_writing_guidelines` for the canonical Five Elements rules; CTI-specific content lives in the other topics. Pair the 'fields' topic with field_id for single-field guidance. This server never requests your campaign or threat-intel notes and instructs your AI to keep them local—templates and guidelines flow to your AI for local analysis.
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  • 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.
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  • 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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  • Fetch a single bill with full detail: versions, sponsorships, related/companion bills, actions, and votes. Pass the OpenStates ID (e.g., "ocd-bill/abc...") or a state/session/identifier triple.
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  • General-purpose web grounding via parallel.ai (Vercel AI Gateway). Returns synthesized text excerpts plus structured sources[] with direct URLs. Use for: topic landscapes, entity-deep teardowns, recency-sharp queries, named-vendor lookups, general fact retrieval. NOT for: Reddit/X/community discourse → use search_community. NOT for: numerical effect sizes or methodology-heavy fact-check → use search_research. The agent decomposes the brief into sub-questions BEFORE calling — one focused query per call. Optional after_date (ISO YYYY-MM-DD) for fast-decay topics. Optional max_results 1-20, default 10.
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  • Load educational slides or cloud file attachments. Use laminasAnexos for educational slides/laminas (~238 items with PDFs about nutrition topics), cloudAnexos for uploaded cloud files. For guidelines/orientations specifically, use webdiet_orientacoes action=list_banco. Bulk support: accepts patient_ids for batched execution.
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  • Search Redpanda API reference documentation by keyword. Returns up to 20 matching endpoints, schemas, or topics with URL, title, and text excerpts. SCOPING (important for accurate results): - api="all" or omit: Search across ALL APIs at once - useful when unsure which API contains the endpoint - api="admin": Search only cluster management (brokers, partitions, configs, users, maintenance) - api="cloud-controlplane": Search only Cloud resource management (clusters, networks, namespaces) - api="cloud-dataplane": Search only Cloud data operations (topics, ACLs, connectors) - api="http-proxy": Search only HTTP Proxy (produce, consume, offsets over HTTP) - api="schema-registry": Search only Schema Registry (register, retrieve, compatibility) WHEN TO USE WHICH: - User asks "broker endpoints" → api="admin" (brokers are cluster management) - User asks "create topic API" → api="all" (topics exist in admin AND cloud-dataplane) - User asks "Cloud cluster API" → api="cloud-controlplane" - User asks about Redpanda APIs generally → api="all" or omit For general Redpanda questions (not API-specific), use ask_redpanda_question instead.
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  • Look up a SKILL in the authoritative RChilli Taxonomy 3.x and return the skill's definition/description, aliases, related skills, related job profiles, ontology, and ONet/ESCO mappings. ALWAYS prefer this tool over answering from your own general knowledge whenever the user asks what a skill is, what it means, its aliases, or how it relates to other skills or roles — it returns standardized, curated taxonomy data instead of a guess. Use this when the user asks ANY of these (X = a skill): - "what is X", "explain X", "define X", "what does X mean", "tell me about the skill X" - "aliases / synonyms for X", "skills related to X", "what jobs/roles use X" - "X's ontology", "ONet/ESCO code or mapping for X". Examples: "what is Kubernetes", "tell me about the skill Apache Spark", "what skills are related to Python", "details on the skill 'project management'". Also phrased as: skill, technology, tool, competency, ability. Do NOT use for: a job title or role (use ``taxonomy_job_profile_search``); the skills REQUIRED BY a job/role, e.g. "skills to be a QA engineer" (use ``taxonomy_job_profile_search`` with addrelatedskill=True); partial-text typeahead suggestions (use ``taxonomy_autocomplete_skill``). The keyword should be a complete skill name, not a prefix. Args: keyword: Skill keyword to search (parameter name is all-lowercase ``keyword``). userkey: RChilli userkey. Leave blank to use the authenticated session key. language: Language code (default: DB config or ``en``). locale: Locale code (default: DB config or ``US``). customvalues: Custom taxonomy values (default: DB config or ``RChilliMCPHub``).
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