An MCP server that can read online documents to solve problems accordingly!
An MCP server that can read online documents to solve problems accordingly!
DocReader is a powerful tool for reading and searching documents, built on the Model Context Protocol (MCP). It enables LLMs to search, extract, and synthesize information from web-based documents, assisting AI assistants in answering questions accordingly.
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Store entities, relations and observations in a local knowledge graph with the reference Memory MCP server.
A structured scratchpad for hard problems — stepwise reasoning with revisions, branches and visible logic.
ContextD helps AI coding assistants remember what works, learn from mistakes, and maintain context across sessions. It's designed for developers who
Role-based access to your Qdrant vector store, via MCP. OIDC in, scoped JWTs out.
Inspect, search, create, edit, move, and organize notes in Apple Notes on macOS.
Academic paper search and retrieval via arXiv, Semantic Scholar, PubMed, Unpaywall.