"Kingsoft Document Connector" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Document to Markdown: convert Word, Excel, PowerPoint and PDF files to Markdown for an LLM.
Live MCP connector for Develust Technology's services — web development, infrastructure, backend architecture. Hybrid search with AI reranking for accurate results. No auth required.
Patent-pending semantic memory for AI agents: quality-gated writes, conflict tracking. Free trial.
Unstructured document processing for LLM pipelines. Upload as PDF/DOCX/TXT any supported files, extract structured data (PII-redacted), build LLM-ready datasets, and search/export results — all via MCP tools (document.process, job.status, job.result, dataset.build, dataset.search, dataset.export).
Manage your Mistral platform — models, files, batch jobs, agents and RAG document libraries.
Read-only Chinese Vibe Coding knowledge connector for search, docs, and repo freshness.
Private document cloud for MCP agents. Claim a link, then store and recall.
Search 18M+ legal documents across 110+ countries. Case law, legislation, and doctrine with semantic + keyword hybrid search. Supports tool discovery, multi-jurisdictional queries, citation resolution, and full document retrieval. Requested missing datasets can be fully indexed within 48h.
Document-to-Markdown MCP server — convert PDF, Office and HTML into LLM-ready Markdown.
- Big Documents AgentOAuth via extensioncom.agints
Answers from long PDFs like contracts, leases, and bid packets, with the page number for each point.
Pay-per-use web data tools: leads, fetch to Markdown, ads, domain authority, jobs, prices.
Convert PDF, Word, Excel and scanned documents to Markdown, tables and RAG chunks. OCR.
LLMtoMD is the memory layer for AI coding agents. It converts any document — PDF, DOCX, slides, spreadsheets, images, audio, even whole websites — into clean, structured Markdown, then exposes it over MCP so your agent can search your FRDs, specs, and API docs on demand instead of re-reading (or forgetting) them.
Make your knowledge agent-ready. Connect docs from Confluence, Notion, GitHub, Dropbox, or Google Drive — any AI agent searches them via one MCP endpoint. 3 retrieval modes: vector search, broad search, and full document access. The agent decides how deep to dig.
Agentic search over your Dewey document collections from any MCP-compatible client.
The Needle MCP server enables semantic search on documents stored in files like PDFs, DOCX, and XLSX by connecting AI applications to external data sources. It provides capabilities to create and manage document collections, perform natural language searches on stored content, and retrieve relevant information without requiring exact keyword matches.
