Retrieve the current company's details from Simple In/Out. Optionally use expand to include related resources.
Apache 2.0
743,724 tools. Updated 2026-11-04 21:31
"Information or resources related to 'rag'" matching MCP tools:
- Retrieve full details for a single incident, including merge relationships, summary counts, and related resources. Use to analyze incident impact or gather related resources.-
- Retrieve detailed information about a specific RAG project within the Calibre ebook library, including its configuration, contents, and organization for semantic search and contextual conversations.Apache 2.0
- Retrieve detailed organization information from IT Glue by ID, including name, status, notes, and related resources. Use to access specific client data in markdown or JSON format.-
- Retrieve detailed configuration information by ID, including hardware specs, network details, warranty status, and related resources from IT Glue documentation.-
- Discover web pages with similar content to a given URL by analyzing page content to identify related resources for research and development.-
Matching MCP Servers
- AlicenseNot gradedqualityCmaintenanceEnables AI agents to query OpenRouter model information including prices, ELO rankings, context, and perform comparisons.41 npm1MIT
- FlicenseNot gradedqualityBmaintenanceMCP server that provides OpenRouter model pricing data, enabling price lookups, trending/cheapest lists, and model searches without an API key.-
Matching MCP Connectors
Converts PDF, scans, DOCX, XLSX and PPTX to Markdown with tables and page-aware RAG chunks.
Crypto scam checks (tokens, sites, wallets), chain reads, web page to Markdown, email checks.
- Retrieve a Harness Engineering Handbook chapter by id or slug to get its full Markdown body, provenance, and related ids. Use it after searching or listing to access specific content.MIT
- Convert a document to a chosen output format, with conversion options, and return the result as text. `to` picks the format (Markdown, docling JSON with structure and page provenance, HTML, plain text, LaTeX, RAG chunks, WebVTT, Pandoc…MIT
- Retrieve all records from a completed dataset as text in your chosen format (jsonl, csv, json, md, xml, rag). Export directly in the response for use in LLM fine-tuning, analysis, and integration.MIT
- Index a dataset so text chunks become searchable. Splits content into RAG-ready chunks and generates embeddings for semantic retrieval.MIT
- Find diverse nearest neighbors by balancing relevance and diversity, reducing redundant results. Ideal for RAG pipelines needing broad coverage.Apache 2.0
- Convert local files or URLs in 22 formats (PDF, DOCX, PPTX, XLSX, EPUB, RTF) to heading-aware Markdown for RAG ingestion and LLM context.MIT
- Identify gaps in schema.gov.it coverage by comparing its semantic resources against the international OKG catalog for a specific domain, showing covered and missing standards.MIT
- Scrape a public URL to create a searchable knowledge base. Extracts content from web pages (including JavaScript-rendered), chunks it, and indexes for RAG.MIT
- Retrieve paginated RAG-ready text chunks from an indexed dataset. Filter by quality grade and PII masking, then integrate with LangChain or LlamaIndex.MIT
- Extract network IOCs and file relationships from a file hash to pivot from malware samples to domains, IPs, and related files.MIT
- Retrieves a connection in Amazon DataZone, enabling access to external resources and services.Apache 2.0
- View all resources of a given type in a workspace to see what exists before acting. Choose from workspaces, libraries, agents, skills, files, workflows, tags, or members.MIT
- Upload files to a durable knowledge store for indexing, so they become searchable across RAG queries. Provide a bucket destination and file content either by local path or base64.MIT
- Keep RAG search current by re-indexing catalog schema after changes. Uses schema hashing to skip unchanged schemas.Apache 2.0
- When you need to know what AI Dimag can do, get an overview of its tools, prompts, resources, and CLI commands.MIT