MCP servers and skills: search, filter by where they run, and compare.
Nothing matches every word exactly, so these are the closest matches.
Okapi BM25 information retrieval document scoring and search engine with document length normalization.
SkillLink only★ 7
Self-hosted hybrid search over everything that is me
SkillMIT★ 2Few starsNo key
Okapi BM25 information retrieval document scoring and search engine with document length normalization.
SkillLink only★ 7
Search INSPIRE-HEP papers, authors, experiments, HEPData records; get citation metrics and BibTeX via MCP. STDIO or Streamable HTTP.
Node.jsApache-2.0★ 1Few starsNo key
Self-hosted multi-agent AI orchestration framework with PostgreSQL-backed context, RAG, long-term memory, and a streaming terminal UI.
SkillMIT★ 3Few starsNo key
Private, on-device semantic search for your own documents.
PythonMIT★ 2Few starsNo key
A Claude Code skill that tailors your resume to one job posting. Nothing invented: every claim comes from your own fact bench. Every bullet measured against your real document width.
SkillMIT★ 1Few starsNo key
An AI agent system on Claude Code that runs your whole job search: finds and scores roles, tailors and fact-checks your resume, finds who to message on LinkedIn, and reminds you to follow up.
SkillMIT★ 6No key
HyDE hypothetical document query expansion and lexical-semantic similarity matching engine
SkillLink only★ 7
HyDE hypothetical document query expansion and lexical-semantic similarity matching engine
SkillLink only★ 7
AI-Powered Document Intelligence & Approval Platform automates document processing, data extraction, validation, and approval workflows. It uses LLMs, RAG, vector databases, and AI guardrails to under
MCPLink only★ 1Few stars
Enterprise Document Intelligence LangGraph RAG agent with ChromaDB retrieval, MCP tool-calling, guardrails, and full tracing via LangSmith — FastAPI backend, real MCP ticketing server included.
MCPLink only★ 1Few stars
Agentic RAG HyDE (Hypothetical Document Embeddings) Query Expander. Bridges dense lexical and semantic gaps by generating diverse hypothetical answer passages from sparse user queries to dramatically
MCPLink only★ 7
Agentic RAG HyDE (Hypothetical Document Embeddings) Query Expander. Bridges dense lexical and semantic gaps by generating diverse hypothetical answer passages from sparse user queries to dramatically
MCPLink only★ 7
PythonMIT★ 3Few starsNo key
Convert PDF, DOCX, PPTX and more to Markdown that keeps figures, tables and equations. Two-pass: fast text first, then full Docling conversion. Works as a CLI and as a Claude skill.
SkillMITFew starsNo key
Search, browse and save notes in your Quberi knowledge base from DeepSeek Harness — with document-level permissions enforced at retrieval time, not per-space. OAuth sign-in.
SkillMIT★ 1Few starsNo key
AI knowledge base with document-level permissions: per-document access rules, deny wins, filtered inside the vector index. Not per-space.
Hosted by authorAGPL-3.0Few starsNo key
A personal, local-first, AI-native notes app: Markdown files you own, a Notion-like editor, search by meaning, database views and an MCP server for AI assistants. A fork of SilverBullet.
Node.jsGPL-2.0★ 1Few starsNo key
MCP server done properly: strict JSON schemas, model-readable errors, a sandboxed calculator and grounded document search
PythonMITFew starsNo key
Official flatmark integrations: n8n, Zapier, Make, Dify, SDKs and templates.
SkillMITFew starsNo key
FlyArchive — self-hosted personal document archive and knowledge base with hybrid semantic + full-text search. Local-first RAG: an MCP server gives Claude, Codex and any LLM agent search and document
SkillAGPL-3.0Few starsNo key
Who stands behind it
