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MCP servers and skills: search, filter by where they run, and compare.
MCP servers and skills: search, filter by where they run, and compare.
Layout-aware RAG over engineering datasheets: hybrid dense/BM25 retrieval at page-native layout-region granularity, with region-level evidence provenance
SkillApache-2.0★ 2Few starsNo key
MCP server that gives AI agents the OSDev wiki offline: full-text search, pages by section, links - indexed locally from the public wiki dump.
PythonMITFew starsNo key
Integrates Power Pages generative-AI summarization APIs (PREVIEW) into a Single Page Application (SPA) site — the Search Summary API and the Data Summarization API — on any record-detail or list page.
OfficialSkillMIT★ 1.0k in collectionNo key
Guides Qdrant monitoring and observability setup. Use when someone asks 'how to monitor Qdrant', 'what metrics to track', 'is Qdrant healthy', 'optimizer stuck', 'why is memory growing', 'requests are
OfficialSkillApache-2.0★ 256 in collectionNo key
Navigation hub linking sub-skills for proactive Qdrant tuning: search speed, indexing performance, and memory usage optimization. Use when planning configuration or capacity changes to improve speed a
OfficialSkillApache-2.0★ 256 in collectionNo key
Diagnoses and improves Qdrant search relevance. Use when someone reports 'search results are bad', 'wrong results', 'low precision', 'low recall', 'irrelevant matches', 'missing expected results', or
OfficialSkillApache-2.0★ 256 in collectionNo key
Guides Qdrant scaling decisions. Use when someone asks 'how many nodes do I need', 'data doesn't fit on one node', 'need more throughput or QPS', 'CPU is pegged / can't keep up with the request rate',
OfficialSkillApache-2.0★ 256 in collectionNo key
Agentic RAG for local and self-hosted document search: hybrid retrieval, reranking and multimodal RAG on embedded LanceDB, with Docling parsing and an MCP server
PythonMIT★ 644No key
MCP server that lets Claude Code and other AI agents read and search large PDFs, one file or a whole folder: agentic RAG with hybrid semantic + keyword search, selective page reads, tables, images, OC
PythonMIT★ 165No key
Conversion from Excel to structured JSON (tables, shapes, charts) for LLM/RAG pipelines, and autonomous Excel reading/writing by AI agents via CLI and MCP integration.
PythonBSD-3-Clause★ 203No key
Google Gemini Notebook (formerly NotebookLM) over MCP + a local HTTP REST API. Citation-backed Q&A, full Studio generation, chat history, multi-account rotation. For Claude Code, Codex, Cursor, n8n, Z
Node.jsMIT★ 217No key
Web search MCP server that does search result reranking locally on your machine, formerly known as mcp-local-rag. ✨ no API keys ✨
PythonMIT★ 150No key
PDF extraction that audits its own output — and certifies any other extractor's, catching pages they silently dropped. Verify signed manifests offline: free, MIT, no account. 0.903 on opendataloader-b
PythonMIT★ 85No key
Fast local-first Markdown knowledge base for Windows with live preview, search, graph, Dataview, book reader, and MCP
SkillAGPL-3.0★ 260No key
Zotero MCP server: search, citations, add by DOI, safe writes, semantic search and PDF page images for Claude, ChatGPT and any MCP client. TypeScript, local-first.
Node.jsMIT★ 62No key
Multi-engine web search and evidence synthesis for AI coding agents. Unified MCP server, Pi extension, and DeepSeek Harness bundle — free search, X/Twitter, parallel research, and TUI setup.
Node.jsMIT★ 57No key
You.com skills and plugins for web search, content extraction, research, finance, and integration discovery, helping AI agents build with up-to-date web context.
SkillMIT★ 97No key
Self-hosted document intelligence for RAG — parse, classify, split, and extract from PDF/DOCX/PPTX and images: searchable, cited, retrieval-ready chunks and schema-driven extraction
PythonMIT★ 5No key
Fast, deterministic document parser and chunker for RAG and agent pipelines. Ships an MCP server for agents navigating long documents with precision.
PythonAGPL-3.0★ 36No key
SEO & GEO skills for Claude Code, built with Claude Mythos 5. Rank in Google AND in LLMs (ChatGPT, Perplexity, Gemini): technical audits, backlinks, AI-optimized content, local SEO, and social amplifi
SkillMIT★ 17No key
Enterprise RAG pipelines with native IRIS vector search. 6 production implementations with RAGAS evaluation, LangChain, AWS/Azure configs. No external VectorDB required.
SkillMIT★ 6No key
A simple retriever mcp for agents to simplify search and easily access file content.
PythonMIT★ 3Few starsNo key
Vietnamese-first document loader for RAG (legacy TCVN3/VNI/VISCII aware, NFC output)
SkillMIT★ 6No key
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