Update an existing department in QuickBooks Online (requires Id and SyncToken).
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OAuth650,501 tools. Updated 2026-10-13 21:47
"Hybrid RAG System for Indexing DevOps eBooks and Online Documentation" matching MCP tools:
- Search for companies in the BizClaw business directory. Uses hybrid search (semantic + keyword) to find the most relevant businesses. Returns lightweight summaries to save tokens. Use get_company(id) for full details (contact, pricing, features, etc.). Args: query: Natural language search query (e.g. "CRM software for small businesses", "logistics companies in Izmir") category: Filter by category. Use list_categories to see available options. country: Filter by country (e.g. "Turkey", "United States", "Germany") city: Filter by city (e.g. "Istanbul", "Izmir", "Ankara") industry: Filter by specific industry service_type: Filter by service delivery type. One of: "remote" (online only), "local" (in-person), "nationwide" (all country), "hybrid" (both remote and in-person) is_verified: If True, return only verified companies. If False, return only unverified. Omit to return all. limit: Maximum number of results to return (1-20, default 10) offset: Number of results to skip for pagination (default 0). Use with limit to get next pages. Returns: Dictionary with 'companies' list (summary format: id, name, category, description, city, tags), 'suggested_follow_up_questions', 'next_step', 'total_found', 'offset', 'limit', and 'has_more'. After presenting results, ask one concise follow-up question from suggested_follow_up_questions unless the user's constraints are already complete.ConnectorNo auth
- AZURE DEVOPS ONLY -- Query Work Items (Bugs, Tasks, FDDs, User Stories, CRs) in Azure DevOps. [~] PRIORITY TRIGGER: use this tool when the user mentions 'FDD', 'RDD', 'IDD', 'CR', 'Task', 'Workitem', 'Work Item', 'Bug', 'User Story', 'Feature', 'Issue', 'ticket', 'sprint', 'backlog', 'DevOps', 'liste des tâches', 'show tasks', 'find bugs', '#1234', 'WI#'. NEVER use this tool for: D365 labels (@SYS/@TRX), X++ code, AOT objects, tables, classes, forms, enums, error messages, 'c\'est quoi le label', 'search_labels', 'libellé', 'label D365'. For labels -> use search_labels. For D365 code -> use search_d365_code or get_object_details. Shortcuts: 'bugs' (all active bugs), 'my bugs' (assigned to me), 'recent' (updated last 7 days), 'sprint' (current iteration). Or pass any WIQL SELECT statement or a free-text title search. Use '*' with filters only. Returns max 50 work items with ID, title, type, state, priority, area, assigned-to. Requires DEVOPS_ORG_URL + DEVOPS_PAT env vars.ConnectorNo auth
- Search across all indexed FlexOrch datasets by keyword or meaning. Use this to find specific documents or records without processing a new file. Requires at least one dataset to exist. Structured search works on all plans. Semantic and hybrid modes require a Pro plan — a clear upgrade message is returned if the plan is insufficient. mode='auto' picks structured on free plans, hybrid on Pro+. Args: query: Search query — natural language or keyword. Max 1000 characters. top_k: Number of results to return. Default: 5, max: 50. mode: Search strategy — auto (default), structured, semantic, hybrid. semantic and hybrid require Pro plan. document_type: Filter to a specific document type, e.g. invoice (optional). language: Filter by document language, ISO 639-1 code, e.g. en, de, tr (optional). quality_grade: Filter by quality grade: A, B, C, or D (optional).ConnectorNo auth
- Trigger semantic indexing for a dataset — required before using dataset.chunks (Pro+ plan). Starts an async indexing job that splits the dataset into RAG-ready text chunks, generates embeddings, and stores them for semantic search. Indexing is idempotent: calling it again on an already-indexed dataset re-indexes with fresh embeddings. Indexing typically completes in 10–60 seconds depending on dataset size. After indexing, use dataset.chunks(dataset_id) to retrieve the text chunks. Args: dataset_id: ID of the built dataset to index (from job.status after dataset.build).ConnectorNo auth
- File catalog reads. view=files lists uploaded file metadata, optionally filtered by namespace, and checks ACL files_list. Returns {files}. view=supported_types returns kinds, extensions, mimeTypes, and extract notes for RAG uploads. That view checks no ACL and spends no quota (former files_types). Neither view writes, deletes, or sends email. Use index_document to upload. MCP indexing accepts UTF-8 text; REST multipart accepts PDF and Excel too.ConnectorAPI key
Matching MCP Servers
- AlicenseNot gradedqualityCmaintenanceEnables AI agents to use a hybrid dense+sparse RAG system with tag-based long-term memory (importance, knowledge-type decay, access-frequency boost) via MCP tools for document ingestion, hybrid search, staged reranking, forgetting, and index management.MIT
- AlicenseAqualityCmaintenanceAn MCP server that provides a search_docs tool with hybrid retrieval (BM25 + dense vectors) and cross-encoder reranking, backed by evaluation, prompt-injection guardrails, and OpenTelemetry tracing.1MIT
Matching MCP Connectors
PDFCheck Online provides hosted PDF metadata tools over MCP. Inspect author fields, dates, page counts, PDF versions and creator/producer software when available. Anonymous access plus authenticated history/usage workflows. Metadata is editable; software indicators do not prove authenticity or AI authorship. Setup and limits: https://pdfcheck.online/ai-agents. Hindi website: https://pdfcheck.online/hi.
MCP server for Vonage API documentation, code snippets, tutorials, and troubleshooting.
- Break Pennsylvania electric-vehicle registrations down to the ZIP code, from PennDOT Driver & Vehicle Services: battery-electric, plug-in hybrid, fuel-cell and conventional hybrid counts for each of roughly 1,830 Pennsylvania ZIP codes, with that ZIP code's total registered vehicles and plug-in share. Answers "how many EVs are registered in ZIP 19103", "which Pennsylvania ZIP code has the most electric vehicles", "EV share in ZIP 15213", and neighbourhood-level adoption questions that a county figure averages away. Supply `zip` for one ZIP code, or omit it to rank them. For county figures and the statewide Pennsylvania total use pa_dmv_ev_adoption.ConnectorNo auth
- Apple Books chart, read from Apple's RSS Marketing Tools feed — the top-free (default) or top-paid ebooks in one storefront country, up to 100 entries. Each entry returns the book title, author, Apple id, genres, release date, artwork URL and Apple Books link. Answers which ebooks are topping the Apple Books charts today.ConnectorNo auth
- Search Gonka documentation. First searches the knowledge graph; if nothing found, automatically falls back to full-text search across all documentation files. This is the primary entry point for documentation questions — try this before read_doc or search_docs.ConnectorNo auth
- Search documentation with hybrid semantic (vector) and keyword (BM25) search. Use semanticWeight to choose keyword-only (0), semantic-only (1), or a blend; mid values fuse rankings with RRF. Supports Tiger Cloud (TimescaleDB), PostgreSQL, and PostGIS.ConnectorNo auth
- Answer "is this network caught up?" with indexing freshness, lag, heads, and available tables. COMMON USER ASKS: - Is Base caught up? FIRST CHOICE FOR: - checking indexing head, lag, tables, and capabilities for one network WHEN TO USE: - You want to know whether a network is indexed, fresh, caught up, or behind before querying. - You need chain family, real-time status, or available tables for a network. DON'T USE: - You only need the latest block or slot number. EXAMPLES: - Is Base caught up?: {"network":"base-mainnet"}ConnectorNo auth
- Retrieve / download / get the file for a digital product after the user paid for it. Use after `pay_merchant` succeeds for digital goods (PDFs, ebooks, cheatsheets, datasets). Pass the on-chain `txHash` from `pay_merchant` OR a Coal checkout `sessionId`. Returns a verified download URL the user can click. Supported product slugs: `0g-cheatsheet` (The 0G Builder's Cheatsheet, $0.10).ConnectorNo auth
- Laurent Knauss' technical skills, grouped by domain (Agentic AI, RAG & Voice AI, Software engineering & Cloud, Automation & tooling). Each skill has a label and an optional short detail. Use this to assess fit for AI/agentic development roles.ConnectorNo auth
- WHEN: the user wants to force a full re-download and re-index of their Azure DevOps custom model. Triggers: 'resync', 'reindex', 'force sync', 'rebuild index', 'my model is stale', 'update index', 'mon index est vieux', 'rafraîchir l\'index', 'relancer l\'indexation'. Useful when the server's built-in PAT does not have access to the target DevOps organisation (e.g. a different Azure DevOps org or tenant). Pass a `pat` parameter to override the server PAT for this resync. The eviction + download runs in the background; returns status immediately. After calling, wait ~60 s then call `healthcheck` or any search tool to confirm the index is ready.ConnectorDestructiveNo auth
- Use this when the user asks whether GitHub, GitLab, Bitbucket, or Azure DevOps is connected, or asks which imported repository records already exist. Read-only: returns provider status and browser-only connect/reconnect guidance without exposing credentials. Use repository-link tools for Space Autopilot links.ConnectorOAuth
- Fetch up to 10 public URLs and return each as clean Markdown, in one call — for research/RAG over several pages at once. Private/internal hosts are blocked.ConnectorNo auth
- Add an evidence bundle to a collection and trigger async vector indexing. Use after create_collection to populate a collection with documents. Once indexed, documents become searchable via search_collection and ask_collection. Indexing is async — poll get_job_status with the returned job_id until status is "complete". PREREQUISITE: Bundle must have status "complete" (check with get_bundle). Collection must be owned by your API key. Returns: { collection_id, bundle_id, job_id (poll for indexing completion) } Example prompts: - "Add my contract bundle ev_550e8400 to the Q4 Contracts collection." - "Put this evidence bundle into my Due Diligence Docs collection for search." - "Add document [bundle_id] to collection [col_id] with a title."ConnectorNo auth
- Add an evidence bundle to a collection and trigger async vector indexing. Use after create_collection to populate a collection with documents. Once indexed, documents become searchable via search_collection and ask_collection. Indexing is async — poll get_job_status with the returned job_id until status is "complete". PREREQUISITE: Bundle must have status "complete" (check with get_bundle). Collection must be owned by your API key. Returns: { collection_id, bundle_id, job_id (poll for indexing completion) } Example prompts: - "Add my contract bundle ev_550e8400 to the Q4 Contracts collection." - "Put this evidence bundle into my Due Diligence Docs collection for search." - "Add document [bundle_id] to collection [col_id] with a title."ConnectorNo auth
- Read current indexing and pipeline status for one document without starting work. Use refresh_document_index only when an explicit retry is intended.ConnectorAPI key
- Queue an explicit asynchronous reindex for one document; use batch_documents(action=refresh_index) for multiple explicit IDs. Routine content and placement changes already schedule indexing; check get_document_index_status first.ConnectorAPI key
- Search Klever VM documentation and knowledge base. Returns human-readable markdown with titles, descriptions, and code snippets. Optimized for "how do I..." questions. Use this instead of query_context when you need formatted developer documentation.ConnectorNo auth