"Search for 'tana'" matching MCP connectors:
Matching Connector Tools:
Fill any PDF form from your AI agent — in a single tool call.
The personal context layer for AI: your profile and files, read by any MCP client over OAuth.
Deploy files, sites, and Dockerfile apps to live URLs + private drives for agent memory.
Sandbox workspace tools: search, file read, DB queries, integrations. Returns synthetic data.
File uploads for AI agents. Upload, list, and manage files. No signup required.
This is a Unified MCP Server for full document control: PDF manipulation (merge, split, rotate, insert, delete), OCR/data extraction from PDFs/images, PDFs/images conversion, compression, encryption, and watermark management—all without juggling multiple tools.
MCP server for detecting and redacting PII (Personally Identifiable Information) in PDF documents.
MCP server for Api2Pdf — generate PDFs & images from HTML, URLs or office files; merge, barcodes.
Portable memory for AI agents: capture once, recall across Claude, Cursor, and any MCP client.
Securely search and manage workspace context files for AI agents and teams.
PDF tools for Claude: merge, split, compress, convert, OCR & more. Requires a PDFHaul API key.
Private, permanent encrypted storage for AI agents. Paid per call in USDC via x402.
Search and download icons, illustrations, elements and emojis in PNG or SVG formats.
Artifact store for AI agents. Hosted OAuth at mcp.artifacta.io/mcp; local stdio via npm/PyPI.
Nifty's MCP server — exposes tasks, projects, messages, and files as tools for AI agents.
Upload any file, get a tracked shareable link. DocSend for AI agents.
Artifact store for AI agents — read, write, and search files by path; share by rendered URL.
Persistent file storage for AI agents via MCP and curl. Upload, download, and version files.
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.