InfraNodus Knowledge Graphs & Text Analysis is an MCP server listed on the M8ven Trust Index. M8ven has not graded it: we have no way to read this server ourselves. No publisher has claimed this listing.

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InfraNodus Knowledge Graphs & Text Analysis

Map text into knowledge graphs to create a structured representation of conceptual relations and topical clusters in your documents. Detect content gaps between the topical clusters and generate research questions to drive research and content creation using the powerful Graph RAG technology underpinning InfraNodus. Get additional insights about texts: main topics, keywords, and underlying themes. Connect to your existing InfraNodus graphs or create new ones to enrich analysis and outputs.

· 30 installs· listed on smithery

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InfraNodus Knowledge Graphs & Text Analysis

Source: Smithery

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The grade above is for the source repository. Registries can serve a different version, so we mark the ones we were not able to read.

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// quality suggestions

All four hints declared on every tool

28/28 tools missing one or more hints — generate_knowledge_graph (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); create_knowledge_graph (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); memory_add_relations (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint), +25 more. OpenAI's directory rejects tools where any hint is missing or non-boolean.

For every tool, set all four hints (readOnlyHint, destructiveHint, idempotentHint, openWorldHint) to explicit true/false values that match the handler’s actual behaviour.

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// full audit trail
The findings above are the summary. The full trail, every check we ran, each deduction, the network hosts observed and the dependency advisories, goes to verified publishers, along with an alert whenever a new one lands. Verified publishers can also review each finding and dispute it in one click. Publisher corrections have sharpened several of our checks this month, because the maintainer knows the codebase better than any scanner.
// improvement guidance — verified publishers only
We have 1 concrete improvement we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.
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code hash: 7198631e7753c77364aeee0c01d23fff059fc4181d96b9bbf1cb389d155f059b
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