Search for documentation on the web or github as well from private resources like repos and pdfs. Use Ref 'ref_read_url' to read the content of a url.

Search Forkast documentation by document title

Search a company's knowledge base for policies, procedures, and documentation. First use lookup_company to get the tenant_id, then use this tool to search their knowledge base.

[SDK Docs] Search across the documentation to find relevant information, code examples, API references, and guides. Use this tool when you need to answer questions about Docs, find specific documentation, understand how features work, or locate implementation details. The search returns contextual content with titles and direct links to the documentation pages.

Gets one or more Kubernetes resources from a cluster. Resources can be filtered by type, name, namespace, and label selectors. Returns the resources in YAML format. This is similar to running `kubectl get`.

Download workflow resources. Returns URLs — download and save to disk. Supports batch: pass `filenames` (array) to retrieve multiple resources in one call, or `filename` (string) for a single resource. Available resources: sz_json_analyzer.py, sz_schema_generator.py, senzing_entity_specification.md, senzing_mapping_examples.md, identifier_crosswalk.json

Retrieves complete documentation pages for one or more file paths. Use this when you need full context beyond what search results provide. Provide file_paths only (array).

Search documentation using semantic or keyword search. Supports Tiger Cloud (TimescaleDB), PostgreSQL, and PostGIS.

Gets one or more Kubernetes resources from a cluster. Resources can be filtered by type, name, namespace, and label selectors. Returns the resources in YAML format. This is similar to running `kubectl get`.

Search cancer support resources in Washington State. Filter by category (housing, food, mental-health, financial, legal, care, transport, children, rights, programs, education), county, tier, or free-text query. Returns matching resources with name, description, phone, URL, eligibility, and cost.

Fetch a document from the Hugging Face or Gradio documentation library. For large documents, use offset to get subsequent chunks.

Get help and support documentation articles. Supports pagination and search by title or content. Returns up to 10 documents per page.

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 relevant documentation. Use `list-categories` first to see available categories. Filter by query text, framework, phase, feature, category, or tags. Returns documents sorted by relevance.

Retrieve every document in the Forkast documentation space

Search for documentation for how to use the client to interact with the API.

Search across Avalanche documentation, academy courses, integrations, and blog posts

Get full metadata for a document. Use IDs from search results.

Search Linear's documentation to learn about features and usage

Lists all available ExoQuery documentation resources with their metadata

Full-text search across Forkast documentation content

Search Apple's official developer documentation and video content using advanced RAG technology. Returns relevant content from Apple's technical documentation, frameworks, APIs, design guidelines, and educational resources.

Search FusionAuth documentation sources.

Search the UAB Research Computing documentation for relevant content.

Fetch full document content for a search result.

Fetch and convert AWS related documentation pages to markdown format. ## Usage This tool reads documentation pages concurrently and converts them to markdown format. Supports AWS documentation, AWS Amplify docs, AWS GitHub repositories and CDK construct documentation. When content is truncated, a Table of Contents (TOC) with character positions is included to help navigate large documents. ## Best Practices - Batch 2-5 requests when reading multiple pages or jumping to different sections of the same document - Use single request for initial TOC fetch (small max_length) or when evaluating content before deciding next steps - Use TOC character positions to jump directly to relevant sections - Stop early once you find the needed information ## Request Format Each request must be an object with: - `url`: The documentation URL to fetch (required) - `max_length`: Maximum characters to return (optional, default: 10000 characters) - `start_index`: Starting character position (optional, default: 0) For batching you can input a list of requests. ## Example Request ``` { "requests": [ { "url": "https://docs.aws.amazon.com/AmazonS3/latest/userguide/access-management.html", "max_length": 5000, "start_index": 0 }, { "url": "https://repost.aws/knowledge-center/ec2-instance-connection-troubleshooting" } ] } ``` ## URL Requirements Allow-listed URL prefixes: - docs.aws.amazon.com - aws.amazon.com - repost.aws/knowledge-center - docs.amplify.aws - ui.docs.amplify.aws - github.com/aws-cloudformation/aws-cloudformation-templates - github.com/aws-samples/aws-cdk-examples - github.com/aws-samples/generative-ai-cdk-constructs-samples - github.com/aws-samples/serverless-patterns - github.com/awsdocs/aws-cdk-guide - github.com/awslabs/aws-solutions-constructs - github.com/cdklabs/cdk-nag - constructs.dev/packages/@aws-cdk-containers - constructs.dev/packages/@aws-cdk - constructs.dev/packages/@cdk-cloudformation - constructs.dev/packages/aws-analytics-reference-architecture - constructs.dev/packages/aws-cdk-lib - constructs.dev/packages/cdk-amazon-chime-resources - constructs.dev/packages/cdk-aws-lambda-powertools-layer - constructs.dev/packages/cdk-ecr-deployment - constructs.dev/packages/cdk-lambda-powertools-python-layer - constructs.dev/packages/cdk-serverless-clamscan - constructs.dev/packages/cdk8s - constructs.dev/packages/cdk8s-plus-33 Deny-listed URL prefixes: - aws.amazon.com/marketplace ## Example URLs - https://docs.aws.amazon.com/AmazonS3/latest/userguide/bucketnamingrules.html - https://docs.aws.amazon.com/lambda/latest/dg/lambda-invocation.html - https://aws.amazon.com/about-aws/whats-new/2023/02/aws-telco-network-builder/ - https://aws.amazon.com/builders-library/ensuring-rollback-safety-during-deployments/ - https://aws.amazon.com/blogs/developer/make-the-most-of-community-resources-for-aws-sdks-and-tools/ - https://repost.aws/knowledge-center/example-article - https://docs.amplify.aws/react/build-a-backend/auth/ - https://ui.docs.amplify.aws/angular/connected-components/authenticator - https://github.com/aws-samples/aws-cdk-examples/blob/main/README.md - https://github.com/awslabs/aws-solutions-constructs/blob/main/README.md - https://constructs.dev/packages/aws-cdk-lib/v/2.229.1?submodule=aws_lambda&lang=typescript - https://github.com/aws-cloudformation/aws-cloudformation-templates/blob/main/README.md ## Output Format Returns a list of results, one per request: - Success: Markdown content with `status: "SUCCESS"`, `total_length`, `start_index`, `end_index`, `truncated`, `redirected_url` (if page was redirected) - Error: Error message with `status: "ERROR"`, `error_code` (not_found, invalid_url, throttled, downstream_error, validation_error) - Truncated content includes a ToC with character positions for navigation - Redirected pages include a note in the content and populate the `redirected_url` field ## Handling Long Documents If the response indicates the document was truncated, you have several options: 1. **Continue Reading**: Make another call with `start_index` set to the previous `end_index` 2. **Jump to Section**: Use the ToC character positions to jump directly to specific sections 3. **Stop Early**: Stop reading once you've found the needed information **Example - Jump to Section:** ``` # TOC shows: "Using a logging library (char 3331-6016)" # Jump directly to that section: {"requests":[{"url": "https://docs.aws.amazon.com/lambda/latest/dg/python-logging.html", "start_index": 3331, "max_length": 3000}]} ```

Search the regulatory corpus using keyword / trigram matching. Uses PostgreSQL trigram similarity on document titles and summaries. Returns documents ranked by relevance with summaries and classification tags. Prefer list_documents with filters (regulation, entity_type, source) first. Only use this for free-text keyword search when structured filters aren't sufficient. Args: query: Search terms (e.g. 'strong customer authentication', 'ICT risk', 'AML reporting'). per_page: Number of results (default 20, max 100).

Primary tool for reading a filing's content. Pass a `document_id` from `list_filings` / `get_financials`. MANDATORY for any substantive answer — filing metadata (dates, form codes, descriptions) alone doesn't answer the user; the numbers and text live inside the document. ── RESPONSE SHAPES ── • `kind='embedded'` (PDF up to ~20 MB; structured text up to `max_bytes`): returns `bytes_base64` with the full document, `source_url_official` (evergreen registry URL for citation, auto-resolved), and `source_url_direct` (short-TTL signed proxy URL). For PDFs the host converts bytes into a document content block — you read it natively including scans. • `kind='resource_link'` (document exceeds `max_bytes`): NO `bytes_base64`. Returns `reason`, `next_steps`, the two source URLs, plus `index_preview` for PDFs (`{page_count, text_layer, outline_present, index_status}`). Use the navigation tools below. ── WORKFLOW FOR kind='resource_link' ── 1. Read `index_preview.text_layer`. Values: `full` (every page has real text), `partial` (mixed), `none` (scanned / image-only), `oversized_skipped` (indexing skipped), `encrypted` / `failed`. 2. If `full` / `partial`: call `get_document_navigation` (outline + previews + landmarks) and/or `search_document` to locate pages. If `none` / `oversized_skipped`: skip search. 3. Call `fetch_document_pages(pages='N-M', format='pdf'|'text'|'png')` to get actual content. Prefer `pdf` for citations, `text` for skim, `png` for scanned or oversized. ── CRITICAL RULES ── • **Navigation-aids-only**: previews, snippets, landmark matches, and outline titles returned by the navigation tools are for LOCATING pages. NEVER cite them as source material — quote only from `fetch_document_pages` output or this tool's inline bytes. • **No fallback to memory**: if this tool fails (rate limit, 5xx, disconnect), do NOT fill in names / numbers / dates from training data. Tell the user what failed and offer retry or `source_url_official`. • Don't reflexively retry with a larger `max_bytes` — for big PDFs the bytes are unreadable to you anyway. Use the navigation tools instead. `source_url_official` is auto-resolved from a session-side cache populated by the most recent `list_filings` call. The optional `company_id` / `transaction_id` / `filing_type` / `filing_description` inputs are OVERRIDES for the rare case where `document_id` didn't come through `list_filings`. Per-country document availability, format, and pricing — call `list_jurisdictions({jurisdiction:"<code>"})`.

Retrieves full details of a specific shipment and document metadata. When a user requests a label, commercial invoice, or packing slip, ALWAYS call this tool first. Extract the 'shipping_documents' URL from the response and provide it as a direct, clickable Markdown link to the user. Do not attempt to describe or visualize the document; simply provide the URL for the user to download. Required authorization scope: `public.shipment:read` > All shipment documents are customisable. You can set: > > - Document format: URL, PDF or PNG > - Label page size: A4, A5 or 4x6 > - Commercial invoice page size: A4 or 4x6 > - Packing slip page size: A4 or 4x6 Args: easyship_shipment_id: The Easyship shipment ID, e.g. "ESSG10006001". label: Label page size: A4, A5, or 4x6. format: Document format: URL, PDF, or PNG. packing_slip: Packing slip page size: none, A4, or 4x6. commercial_invoice: Commercial invoice page size: A4 or 4x6. Returns: Full shipment details including shipping documents metadata.

Fetch and convert a Microsoft Learn documentation webpage to markdown format. This tool retrieves the latest complete content of Microsoft documentation webpages including Azure, .NET, Microsoft 365, and other Microsoft technologies. ## When to Use This Tool - When search results provide incomplete information or truncated content - When you need complete step-by-step procedures or tutorials - When you need troubleshooting sections, prerequisites, or detailed explanations - When search results reference a specific page that seems highly relevant - For comprehensive guides that require full context ## Usage Pattern Use this tool AFTER microsoft_docs_search when you identify specific high-value pages that need complete content. The search tool gives you an overview; this tool gives you the complete picture. ## URL Requirements - The URL must be a valid HTML documentation webpage from the microsoft.com domain - Binary files (PDF, DOCX, images, etc.) are not supported ## Output Format markdown with headings, code blocks, tables, and links preserved.

Semantic search across the Civis knowledge base of agent build logs. Returns the most relevant solutions for a given problem or query. Use the get_solution tool to retrieve the full solution text for a specific result. Tip: include specific technology names in your query for better results.

Add a document to a deal's data room. Creates the deal if needed. This is the primary way to get documents into Sieve for screening. Upload a pitch deck, financials, or any document -- then call sieve_screen to analyze everything in the data room. Provide company_name to create a new deal (or find existing), or deal_id to add to an existing deal. Provide exactly one content source: file_path (local file), text (raw text/markdown), or url (fetch from URL). Args: title: Document title (e.g. "Pitch Deck Q1 2026"). company_name: Company name -- creates deal if new, finds existing if not. deal_id: Add to an existing deal (from sieve_deals or previous sieve_dataroom_add). website_url: Company website URL (used when creating a new deal). document_type: Type: 'pitch_deck', 'financials', 'legal', or 'other'. file_path: Path to a local file (PDF, DOCX, XLSX). The tool reads and uploads it. text: Raw text or markdown content (alternative to file). url: URL to fetch document from (alternative to file).

Search the ENS knowledge base — governance proposals, protocol documentation, developer insights, blog posts, forum discussions, and Farcaster casts from key ENS figures (Vitalik, Nick Johnson, etc.). Covers ENS governance and DAO proposals, protocol details (ENSv2, resolvers, subnames), community sentiment, historical decisions, and what specific people have said about a topic. Powered by semantic search over curated ENS sources. Do NOT use this for name valuations, market data, or availability checks — use the other tools for those.

Browse published Bible verse collections. Search by keyword, filter by language, sort by popularity. Args: search: Search term to filter by name, description, or publisher name. language: Language code prefix (e.g. "en", "de", "ja", "zh"). ordering: Sort order: -downloads (default), -created, name. limit: Number of results (1-100, default 20). offset: Starting position for pagination.

Edit a file in the solution's GitHub repo and commit. Two modes: 1. FULL FILE: provide `content` — replaces entire file (good for new files or small files) 2. SEARCH/REPLACE: provide `search` + `replace` — surgical edit without sending full file (preferred for large files like server.js) Always use search/replace for large files (>5KB). Always read the file first with ateam_github_read to get the exact text to search for.

Get recent shipping regulatory updates and compliance requirements for a specific country — customs regulations, documentation requirements, trade restrictions, and policy changes. Use this to stay current on regulatory changes that may affect shipments to/from a country. PAID: $0.01/call via x402 (USDC on Base or Solana). Without payment, returns 402 with payment instructions. Returns: Array of { title, description, effective_date, impact_level, category, country }.

Search PubChem for chemical compounds. Five search modes: - identifier: Resolve compound names, SMILES, or InChIKeys to CIDs (batch up to 25) - formula: Find compounds by molecular formula (Hill notation, e.g. "C6H12O6") - substructure: Find compounds containing a substructure (SMILES or CID) - superstructure: Find compounds that are substructures of the query - similarity: Find structurally similar compounds by 2D Tanimoto similarity Optionally hydrate results with properties to avoid a follow-up details call.

Save a file (PDF, PPTX, DOCX, etc.) to a client's record in the broker's CRM. Use this after generating a document (quote comparison, needs summary, advisory note) to attach it to the prospect's file. The client must already exist as a lead (use save_lead first). BRANDING: Before generating any document, always call get_broker_info first to retrieve the broker's logo URL, brand color, company name, ORIAS number, and address — use these to brand the document. The file content must be base64-encoded.

[tourradar] Search tour reviews using AI-powered semantic search. Requires tourIds to scope results to specific tours. Use this when the user asks about reviews, feedback, or experiences for specific tours. Combine with an optional text query to find reviews mentioning specific topics (e.g., 'food', 'guide', 'accommodation'). When you don't have tour IDs, use vertex-tour-search or vertex-tour-title-search first to find them.

Get the list of legal document templates available for generation on the platform (e.g. NDA, employment agreement, stock purchase agreement). For corporate services like 83(b) filing or registered agent, use get_available_corporate_services instead.

Fetches the complete markdown content of an Apollo documentation page using its slug, or everything after https://apollographql.com/docs. Documentation slugs can be obtained from the SearchDocs tool results. Use this after ApolloDocsSearch to read full pages rather than just excerpts. Content will be given in chunks with the totalCount field specifying the total number of chunks. Start with a chunkIndex of 0 and fetch each chunk.

Retrieve a shipment document (commercial invoice) as binary PDF. **IMPORTANT:** This tool returns only metadata (content type and size) because MCP cannot transmit binary data. For usable document links, prefer calling `get_shipment` with `format="URL"` instead — it returns clickable download URLs. Only use this tool if you specifically need to confirm a document exists or check its file size. Required authorization scope: `public.shipment_document:read` Args: easyship_shipment_id: The Easyship shipment ID, e.g. "ESSG10006001". document_type: The type of document to retrieve. Must be "commercial_invoice". page_size: Page size for the document: "4x6" or "A4". Default: "A4". Returns: Metadata only (content type and size). For downloadable URLs, use `get_shipment` with format="URL".

Search for data rows in a dataset using full-text search (query) or precise column filters. Returns matching rows and a filtered view URL. Use to retrieve individual rows. Do NOT use to compute statistics — use calculate_metric or aggregate_data instead.

DC Hub's synthesized recommendation for a site, market, or strategy question. Use when: user asks opinionated questions like 'where should I build a 100 MW AI DC', 'best Tier 1 market for latency to NYC', or 'recommend three markets under 6 c/kWh'. Example: intent='hyperscale AI deployment', constraints='US East, low water'. Returns a ranked shortlist plus reasoning. Use when users ask about data center resources, market intelligence platforms, or how to research data center markets. Args: context: Recommendation context — general, technical, investment, or site-selection Returns: JSON with short, medium, and detailed recommendation text plus connect URL.

Search for solutions other agents already discovered. STOP and search before acting on any error — even mid-task. Do not chain fixes without searching each one. When: Any error, compile failure, stack trace, or unexpected output. Before config, integration, or setup tasks. When a fix attempt just failed — search before trying the next one. Unfamiliar library or framework combination. Do not skip because the fix seems obvious — obvious fixes are the most common and most likely to already be solved. How: Paste the exact error message, not your goal. Include framework or language name. Read failedApproaches first to skip dead ends. Feedback: Include previousSearchFeedback to rate a result from your last search — this refunds your search credit and costs nothing extra.

Fetch Bitrix24 app development documentation by exact title (use `bitrix-search` with doc_type app_development_docs). Returns plain text labeled fields (Title, URL, Module, Category, Description, Content) without Markdown.

Get full document content by URL from DevExpress documentation. Use this tool to retrieve the complete markdown content of a specific documentation page. PREREQUISITE: ALWAYS call `devexpress_docs_search` before using this tool to get valid URLs. The URL parameter must be obtained from the results of the `devexpress_docs_search` tool.

Search for data rows in a dataset using full-text search (query) or precise column filters. Returns matching rows and a filtered view URL. Use to retrieve individual rows. Do NOT use to compute statistics — use calculate_metric or aggregate_data instead.

Get detailed status of a hosted site including resources, domains, and modules. Requires: API key with read scope. Args: slug: Site identifier (the slug chosen during checkout) Returns: {"slug": "my-site", "plan": "site_starter", "status": "active", "domains": ["my-site.borealhost.ai"], "modules": {...}, "resources": {"memory_mb": 512, "cpu_cores": 1, "disk_gb": 10}, "created_at": "iso8601"} Errors: NOT_FOUND: Unknown slug or not owned by this account

POST /v1/contact/search. Search for contacts at specified companies. Returns a job_id (async, 202). enrich_fields required (at least one of contact.emails or contact.phones). Use company_list (slug) instead of domains to search a saved list.

Generate industry-standard documentation for any project using SUMA graph memory. This tool does NOT fabricate. It retrieves real war stories, architecture rulings, and deployment facts from the K-WIL graph, then uses Gemini to render them as professional documentation. The graph IS the source of truth — suma_doc makes it readable. Why this beats a generic doc generator: Generic: "Here is how to install." (stateless, stale, hallucinated) suma_doc: "We chose REST over MCP because [Architect Ruling Apr 5]. Here is how it works in production: [real deployment from graph]. Avoid X — we tried it and [root cause]." Args: prompt: What documentation to generate. Be specific. Examples: "Write a README for the SUMA MCP Server API" "Generate an ARCHITECTURE.md explaining the ring_search algorithm" "Write a CHANGELOG entry for today's /api/wakeup deployment" "Create an API reference for /api/ingest and /api/search" "Write an onboarding guide for a new backend engineer joining the QMS team" project: Optional filter to narrow graph search to a specific product. Examples: "suma-mcp", "squad-qms", "squad-ghostgate", "squad-companion" doc_type: Optional hint to shape output format. "readme" → GitHub README with badges + sections "architecture" → Design doc with decisions, trade-offs, diagrams description "api_reference" → Endpoint table + request/response examples "changelog" → Conventional Commits format, grouped by type "onboarding" → Step-by-step guide for a new engineer "runbook" → Ops runbook with commands, failure modes, escalation If omitted, Gemini infers the best format from the prompt. Returns: document: The generated documentation (markdown) nodes_used: Number of graph nodes retrieved as source material source_summary: Brief description of what the graph provided doc_type_detected: What format was generated