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Compile an Obsidian knowledge graph into a queryable MCP server for AI.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Shreg compiler" yet — see the docs or source repo.
Connect to the MCP server provided by Shreg compiler, search for concepts related to "vector databases," and list the most relevant nodes.
A list of knowledge nodes related to "vector databases" with associated information.
Retrieve the node named "Project Retrospective" from my Obsidian knowledge graph and summarize its key information.
The node content plus a concise summary of its key points.
Based on the node "User Interviews," find related nodes and explain the likely relationships between them.
Related nodes and an explanation of how they connect to the target node.
Researchers, writers, or developers can compile an Obsidian knowledge graph into an MCP service so AI agents can search concepts and read knowledge nodes. This turns scattered notes into a queryable source for AI.
When users need to discover topic connections across existing notes, this tool helps AI retrieve nodes and related information. It is useful for tracing context and related content around a concept.
It compiles an Obsidian knowledge graph into a queryable MCP server. This allows AI agents to search concepts, get nodes, and retrieve related information.
Based on the provided description, it supports concept search, node retrieval, and related-information lookup. For specific interfaces and response formats, see the source repository.
The provided material does not include installation, dependency, or runtime steps. For setup details, prerequisites, and commands, see the source repository.
Compile web sources into backlink-rich wiki pages and query them via MCP.
Build a knowledge graph from repos for Q&A and implementation planning.
Securely let AI read, write, search, and scrape content for Obsidian notes.
Search Obsidian notes, read content, create flashcards, summaries, and study plans.
Search, read, and list Obsidian notes with natural language semantic retrieval.
Securely search, read, and selectively write notes in an Obsidian vault