"Files" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Manage your Mistral platform — models, files, batch jobs, agents and RAG document libraries.
Document to Markdown: convert Word, Excel, PowerPoint and PDF files to Markdown for an LLM.
PDF/DOCX/XLSX to markdown + RAG chunks, $0.001/page; failed files never charged.
Fastio gives your team and AI agents a workspace for each project, bringing source files, comments and new work together. Connect a compatible MCP client to find files, answer questions from project material, and save results where the team can review and use them. \ Sign in through Fastio and choose the workspaces the connection can reach. Read Only connections expose read tools; Read & Write connections also allow changes. \ • **Files and folders:** browse, read, upload, and organize files, with version history and trash. • **Search:** find files by keyword; search file content and meaning when Deep Indexing is enabled and files have been processed. • **Metadata:** read, set, and search metadata fields, including extracted fields where available. • **Shares:** create and manage shares for sending or collecting files. • **Comments and members:** read and add comments, and manage workspace membership within your permissions. • **Activity:** search workspace events to see what changed. \ Hosted by Fastio, with no server installation required. \ • **Claude and most MCP clients:** https://mcp.fast.io/mcp/tools • **ChatGPT:** https://mcp.fast.io/mcp/operations • **ChatGPT and Codex:** Fastio plugin • **Claude Code, Cursor and similar coding agents:** https://mcp.fast.io/mcp/code • **Setup and client-specific capabilities:** https://mcp.fast.io/docs \ Paid plans. Monthly plans include a trial of up to 30 days. A card is required, and billing begins when the trial ends or trial credits run out, whichever comes first. No free plan.
Document reader for AI agents: PDF text and tables, Word paragraphs, metadata, and OCR for scanned files and images. Runs in memory and stores nothing. Requires a Bearer token.
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).
Search and fetch vibe-coding Agent Skills (SKILL.md files) and prompts from TheSkillVault library.
Generate 18 AI readiness files (llms.txt, ai.txt, RAG indexes, schema) for any website.
One semantic search across your sites, Drive, Notion, email, files and Basecamp.
Convert Word, Excel, PowerPoint, OpenDocument, EPUB and RTF files to Markdown for LLMs and RAG
Pay-per-use Apify tools for AI classification, SEO audits, leads, transcripts and web data.
Convert PDFs, Office files, spreadsheets and images to clean Markdown, sized for agent context.
Interact with The Drive AI files directly from AI assistants like ChatGPT or Claude using the Model Context Protocol (MCP).
Search one ClearMakes agent's knowledge: your documents, website pages and Drive files.
Rafter holds a team's durable knowledge — skills, agents and memory files, each versioned — and serves it to AI tools over MCP. Agents search across the team's artifacts before answering questions about how the team works or what was decided, fetch full artifact text along with its citation edges (cites, cited_by, links) to explore related material, and write new learnings back as memory. Also covers workspace, team and membership management.
MCP-native knowledge base for AI agents — vault-scoped docs, tables, and files, git-versioned, with hybrid search (BM25 + pgvector dense + reranker) and an event stream so external consolidators / gardeners stay decoupled.
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.
