nanograph-mcp
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@nanograph-mcpsearch for 'machine learning' in my datasources"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
nanograph-mcp
Build Nanograph datasources from Markdown or PDF corpora and serve them through MCP or a small HTTP/JSON wrapper.
What v1 supports
Ingest commands:
nanograph-ingest seed --config ...,build, andsmokeServer commands:
nanograph-mcp --registry ...andnanograph-http --registry ...MCP tools:
sources,source,documents,document,sections,search,passageHTTP routes:
GET /healthz,GET /datasources,GET /datasources/{name},GET /datasources/{name}/documents,GET /datasources/{name}/documents/{document_id},GET /datasources/{name}/documents/{document_id}/sections,POST /search,POST /passage, andPOST /mcp
Use /healthz for health checks. Other application responses use the same
schema-versioned envelope.
Search modes:
mode = "keyword"for all datasourcesmode = "search"only for datasources built with embeddings enabled
Related MCP server: md-graph
Quick start
nanograph-ingest smoke --config examples/corpus-markdown.toml
nanograph-http --registry examples/datasources-public.toml --host 127.0.0.1 --port 8765The public registry example uses only home, exposure, and enabled for
each datasource. Host-local path overrides such as database and config are
outside the documented v1 contract.
Documentation:
This server cannot be installed
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
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