{"$schema":"https://wellknown.network/schemas/agent-record-v1.json","schemaVersion":"1","id":"ag_s57ka5bsz85u","handle":"iflow-mcp-juanqui-pdfkb-mcp","url":"https://wellknown.network/agents/iflow-mcp-juanqui-pdfkb-mcp","links":{"self":"https://wellknown.network/agents/iflow-mcp-juanqui-pdfkb-mcp/record.json","html":"https://wellknown.network/agents/iflow-mcp-juanqui-pdfkb-mcp","markdown":"https://wellknown.network/agents/iflow-mcp-juanqui-pdfkb-mcp/record.md","api":"https://wellknown.network/api/v1/agents/iflow-mcp-juanqui-pdfkb-mcp","status":"https://wellknown.network/api/v1/agents/iflow-mcp-juanqui-pdfkb-mcp/status","claim":"https://wellknown.network/agents/iflow-mcp-juanqui-pdfkb-mcp/claim","claimApi":"https://wellknown.network/api/v1/claims","claimDescriptor":"https://wellknown.network/agents/iflow-mcp-juanqui-pdfkb-mcp/claim.json","badge":"https://wellknown.network/agents/iflow-mcp-juanqui-pdfkb-mcp/badge.svg","openapi":"https://wellknown.network/openapi.json"},"ard":{"identifier":"urn:air::server:iflow-mcp-juanqui-pdfkb-mcp","type":"application/mcp-server-card+json"},"kind":"mcp_server","declared":{"name":"pdfkb-mcp","summary":"A Model Context Protocol server for managing PDF documents with vector search capabilities","description":"# PDF Knowledgebase MCP Server\n\nA Model Context Protocol (MCP) server that enables intelligent document search and retrieval from PDF collections. Built for seamless integration with Claude Desktop, Continue, Cline, and other MCP clients, this server provides advanced search capabilities powered by local, OpenAI, or HuggingFace embeddings and ChromaDB vector storage.\n\n## ✨ Major New Features\n\n### 🤖 Document Summarization (NEW!)\n**Automatically generate rich document metadata using AI**\n- **Local LLM Support**: Use Qwen3, Phi-3, and other local models - no API costs, full privacy\n- **Remote LLM Support**: OpenAI-compatible APIs for cloud-based summarization\n- **Rich Metadata**: Auto-generates titles, short descriptions, and detailed summaries\n- **Smart Content Processing**: Configurable page limits and intelligent content truncation\n- **Fallback Handling**: Graceful degradation when summarization fails\n\n### 🌐 Remote Access & Multi-Client Support (NEW!)\n**Access your document repository from anywhere**\n- **SSE Transport Mode**: Server-Sent Events for real-time remote access\n- **HTTP Transport Mode**: RESTful API access for modern MCP clients\n- **Multi-Client Architecture**: Share document processing across multiple clients\n- **Integrated Web + MCP**: Run both web interface and MCP server concurrently\n- **Flexible Deployment**: Local, remote, or hybrid deployment modes\n\n### 🎯 Advanced Search & Intelligence\n**Best-in-class document retrieval capabilities**\n- **Hybrid Search**: Combines semantic similarity with keyword matching (BM25)\n- **Reranking Support**: Qwen3-Reranker models for improved search relevance\n- **GGUF Quantized Models**: 50-70% smaller models with maintained quality\n- **Local Embeddings**: Full privacy with HuggingFace models - no API costs\n- **Custom Endpoints**: Support for OpenAI-compatible APIs and custom providers\n- **Semantic Chunking**: Content-aware chunking for better context preservation\n\n### 🔄 Enterprise-Ready Operations\n**Production-rea…","publisher":null,"homepage":"https://github.com/juanqui/pdfkb-mcp#readme","repository":"https://github.com/juanqui/pdfkb-mcp#readme","version":"0.7.0","license":null,"protocols":["mcp"],"tags":["ai","chroma","embeddings","knowledge-base","mcp","openai","pdf","vector-search"],"pricing":null,"endpoints":[{"url":"pypi:iflow-mcp_juanqui-pdfkb-mcp","type":"package_pypi","auth":null,"probeable":false},{"url":"pypi:pdfkb-mcp","type":"package_pypi","auth":null,"probeable":false}],"skills":null,"tools":null,"extra":null,"attribution":{"kind":"pypi","name":"pypi","repoUrl":"pypi","summary":"pypi","version":"pypi","description":"pypi","homepageUrl":"pypi"}},"derived":{"capabilities":[{"slug":"data.vector-search","name":"Vector Search","confidence":1,"provenance":"declared"},{"slug":"ai.model-access","name":"Model Access","confidence":0.905,"provenance":"derived"}],"categories":["ai","data"],"language":"en"},"observed":{"status":"unknown","statusReason":"Distributed as a package to run locally; no network endpoint to check.","lastOkAt":null,"lastProbedAt":null,"statusComputedAt":null,"reliability30d":null,"latestObservations":[],"tools":null,"package":{"name":"pdfkb-mcp","registry":"pypi","observedAt":"2026-09-10T09:26:57.295Z","publishedAt":"2025-09-13T02:20:41.857702Z","latestVersion":"0.7.0"}},"verification":{"claimed":false,"claimedAt":null,"proofs":[]},"provenance":{"sources":[{"source":"pypi","key":"pdfkb-mcp","url":"https://pypi.org/project/pdfkb-mcp/","firstSeenAt":"2026-09-10T09:25:51.605Z","fetchedAt":"2026-09-10T09:25:51.605Z","normalizedAt":"2026-09-10T09:25:51.605Z"},{"source":"pypi","key":"iflow-mcp_juanqui-pdfkb-mcp","url":"https://pypi.org/project/iflow-mcp_juanqui-pdfkb-mcp/","firstSeenAt":"2026-09-09T19:24:21.240Z","fetchedAt":"2026-09-09T19:24:21.240Z","normalizedAt":"2026-09-09T19:24:21.240Z"}]},"firstSeenAt":"2026-09-09T19:24:21.240Z","updatedAt":"2026-09-10T09:26:57.296Z"}