{"apiVersion":"v1","directorySlug":"advanced-input-mcp-89ea8ae5de","title":"Advanced Input","description":null,"pageUrl":"https://www.mcpbundles.com/skills/advanced-input-mcp-89ea8ae5de","connectPath":"importable","connectAction":"import_server","catalogListing":false,"bundleSlug":null,"listingKind":"remote_mcp","kind":"provider","transportUrl":"https://mcp.advanced-input.com/mcp","hostedMcpUrl":null,"toolCount":13,"toolInventoryStatus":"observed","refreshedAt":"2026-11-03T13:26:00.516172+00:00","registryName":"com.advanced-input/advanced-input-mcp-89ea8ae5de","registryVersion":"2026.11.3","registryEligible":true,"tools":[{"name":"qdrant_list_collections","description":"Lists all available knowledge base collections. Use only when the user asks\nwhat data sources or knowledge bases are available, or to verify if a specific\ncollection exists. Not for ERP data queries.","inputSchema":{"type":"object","properties":{},"additionalProperties":false},"logicalName":"qdrant_list_collections","displayName":"qdrant_list_collections","title":"qdrant_list_collections","annotations":{"untrustedContentHint":true,"readOnlyHint":true}},{"name":"qdrant_create_collection","description":"Cria uma nova collection no Qdrant. Use vector_size=384 para embeddings BGE-small.","inputSchema":{"type":"object","required":["collection"],"properties":{"distance":{"type":"string","default":"Cosine"},"collection":{"type":"string"},"vector_size":{"type":"integer","default":384}},"additionalProperties":false},"logicalName":"qdrant_create_collection","displayName":"qdrant_create_collection","title":"qdrant_create_collection","annotations":{"untrustedContentHint":true,"readOnlyHint":true}},{"name":"qdrant_ingest","description":"Converte texto em embedding (BGE-small-en, 384 dims) e insere na collection.\nUse esta tool para popular o knowledge base — não é necessário gerar vetores manualmente.\nO payload pode conter metadados como table, description, fields, etc.","inputSchema":{"type":"object","required":["collection","id","text"],"properties":{"id":{"type":"string"},"text":{"type":"string"},"payload":{"type":"object","default":{},"additionalProperties":true},"collection":{"type":"string"}},"additionalProperties":false},"logicalName":"qdrant_ingest","displayName":"qdrant_ingest","title":"qdrant_ingest","annotations":{"untrustedContentHint":true,"readOnlyHint":true}},{"name":"qdrant_search_text","description":"Search the AIS knowledge base using natural language. Use before writing SQL\nor answering process questions — alone or combined depending on the request.","inputSchema":{"type":"object","required":["collection","query"],"properties":{"limit":{"type":"integer","default":5},"query":{"type":"string"},"collection":{"type":"string"}},"additionalProperties":false},"logicalName":"qdrant_search_text","displayName":"qdrant_search_text","title":"qdrant_search_text","annotations":{"untrustedContentHint":true,"readOnlyHint":true}},{"name":"qdrant_upsert","description":"Insere ou atualiza um vetor diretamente (requer vetor pré-computado). Prefira qdrant_ingest para texto.","inputSchema":{"type":"object","required":["collection","id","vector"],"properties":{"id":{"type":"string"},"vector":{"type":"array","items":{"type":"number"}},"payload":{"type":"object","default":{},"additionalProperties":true},"collection":{"type":"string"}},"additionalProperties":false},"logicalName":"qdrant_upsert","displayName":"qdrant_upsert","title":"qdrant_upsert","annotations":{"untrustedContentHint":true,"readOnlyHint":true}},{"name":"qdrant_search","description":"Searches Qdrant using a pre-computed vector. Use only when you already have a\nfloat vector and need to query directly. For natural language searches, always\nprefer qdrant_search_text instead. Administrative/developer use only.","inputSchema":{"type":"object","required":["collection","query_vector"],"properties":{"limit":{"type":"integer","default":5},"collection":{"type":"string"},"query_vector":{"type":"array","items":{"type":"number"}}},"additionalProperties":false},"logicalName":"qdrant_search","displayName":"qdrant_search","title":"qdrant_search","annotations":{"untrustedContentHint":true,"readOnlyHint":true}},{"name":"qdrant_delete","description":"Remove um ponto do Qdrant pelo seu ID. Use com cuidado — operação irreversível.","inputSchema":{"type":"object","required":["collection","id"],"properties":{"id":{"type":"string"},"collection":{"type":"string"}},"additionalProperties":false},"logicalName":"qdrant_delete","displayName":"qdrant_delete","title":"qdrant_delete","annotations":{"untrustedContentHint":true,"readOnlyHint":true}},{"name":"qdrant_collection_info","description":"Returns technical metadata about a Qdrant collection (point count, vector size,\nstatus). Use only for administrative or diagnostic purposes — e.g., verifying\nif a collection was populated correctly after ingestion. Not for ERP data queries.","inputSchema":{"type":"object","required":["collection"],"properties":{"collection":{"type":"string"}},"additionalProperties":false},"logicalName":"qdrant_collection_info","displayName":"qdrant_collection_info","title":"qdrant_collection_info","annotations":{"untrustedContentHint":true,"readOnlyHint":true}},{"name":"search_sl8_docs","description":"Search official Syteline 8 documentation (PDFs, web content, guides) using\nnatural language. Use when the user wants to understand how an SL8 form,\nprocess, or module works — not for finding table names or writing queries\n(use qdrant_search_text + knowledge_schema for that).\nExamples: \"how does the RMA process work in SL8?\",\n\"how to configure item lead times?\", \"what does the costing method affect?\".\nApplies to any company running Syteline 8.","inputSchema":{"type":"object","required":["query"],"properties":{"limit":{"type":"integer","default":5},"query":{"type":"string"}},"additionalProperties":false},"logicalName":"search_sl8_docs","displayName":"search_sl8_docs","title":"search_sl8_docs","annotations":{"untrustedContentHint":true,"readOnlyHint":true}},{"name":"search_sl10_docs","description":"Search official Syteline 10 / Infor CSI documentation (PDFs, web content,\nguides) using natural language. Use when the user wants to understand how an\nSL10 form, process, or module works — not for finding table names or writing\nqueries (use qdrant_search_text + knowledge_schema for that).\nExamples: \"how does MRP planning work in SL10?\",\n\"what is allocated vs on-hand quantity?\", \"how to process a customer return?\".\nApplies to any company running Syteline 10.","inputSchema":{"type":"object","required":["query"],"properties":{"limit":{"type":"integer","default":5},"query":{"type":"string"}},"additionalProperties":false},"logicalName":"search_sl10_docs","displayName":"search_sl10_docs","title":"search_sl10_docs","annotations":{"untrustedContentHint":true,"readOnlyHint":true}},{"name":"list_my_contexts","description":"List every ERP context_id you currently have access to, and for each one:\nwhether it is a multi-site database requiring a site filter, and which\nmodules are actually granted to you there.","inputSchema":{"type":"object","properties":{},"additionalProperties":false},"logicalName":"list_my_contexts","displayName":"list_my_contexts","title":"list_my_contexts","annotations":{"untrustedContentHint":true,"readOnlyHint":true}},{"name":"sql_query","description":"Use this tool to retrieve ERP data for any connected company whenever the user\nasks about items, parts, orders, inventory, BOMs, jobs, purchasing, shipping,\nreceiving, costing, quality, or any business data.","inputSchema":{"type":"object","required":["query"],"properties":{"query":{"type":"string"},"context":{"type":"string","default":"SL10"}},"additionalProperties":false},"logicalName":"sql_query","displayName":"sql_query","title":"sql_query","annotations":{"untrustedContentHint":true,"readOnlyHint":true}},{"name":"sql_batch","description":"Use this tool for complex multi-step ERP queries requiring CTEs (WITH), DECLARE,\ntemp tables, recursive logic, or multiple dependent steps.\nExamples: recursive BOM explosion, multi-site inventory comparison, overdue order\nanalysis, serial number tracing, cross-company reporting.","inputSchema":{"type":"object","required":["script"],"properties":{"script":{"type":"string"},"context":{"type":"string","default":"SL10"},"max_rows":{"type":"integer","default":5000}},"additionalProperties":false},"logicalName":"sql_batch","displayName":"sql_batch","title":"sql_batch","annotations":{"untrustedContentHint":true,"readOnlyHint":true}}],"toolSource":"directory_preview","agentAction":"both","installLinks":[{"id":"cursor","label":"Cursor","href":"cursor://anysphere.cursor-deeplink/mcp/install?name=Advanced-Input&config=eyJ1cmwiOiAiaHR0cHM6Ly9tY3AuYWR2YW5jZWQtaW5wdXQuY29tL21jcCJ9"},{"id":"vscode","label":"VS Code","href":"vscode:mcp/install?%7B%22name%22%3A%22Advanced-Input%22%2C%22type%22%3A%22http%22%2C%22url%22%3A%22https%3A%2F%2Fmcp.advanced-input.com%2Fmcp%22%7D"},{"id":"vscode-insiders","label":"VS Code Insiders","href":"vscode-insiders:mcp/install?%7B%22name%22%3A%22Advanced-Input%22%2C%22type%22%3A%22http%22%2C%22url%22%3A%22https%3A%2F%2Fmcp.advanced-input.com%2Fmcp%22%7D"},{"id":"claude-web","label":"Claude.ai","href":"https://claude.ai/customize/connectors?modal=add-custom-connector&connectorName=Advanced+Input&connectorUrl=https%3A%2F%2Fmcp.advanced-input.com%2Fmcp"},{"id":"codex","label":"Codex","copyText":"codex mcp add \"Advanced-Input\" --url \"https://mcp.advanced-input.com/mcp\""},{"id":"chatgpt","label":"ChatGPT","href":"https://www.mcpbundles.com/docs/integrations/chatgpt"}],"catalogUrl":"https://www.mcpbundles.com/api/directory/v1/servers/advanced-input-mcp-89ea8ae5de","callUrl":"https://www.mcpbundles.com/api/directory/v1/servers/advanced-input-mcp-89ea8ae5de/tools/{tool}","mcpServerUrl":"https://mcp.advanced-input.com/mcp","liveCatalogUrl":"https://www.mcpbundles.com/api/directory/v1/servers/advanced-input-mcp-89ea8ae5de?live=1"}