io.github.CloudCorpRecords/textgraph
NPM · @RENETURCIOS/TEXTGRAPH · 2 COMPONENTS
Text to knowledge graphs: topics, clusters, gaps, and research ideas via InfraNodus.
Available components
Last scanned (19 hours ago)
Scores higher than 35% of npm servers
Category Memory and Knowledge
How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score → Why this is hard to score →
Supply Chain Security98
- No malware found by supply-chain analysis.Pass
- No known CVEs affecting this package version or its production dependencies.Pass
- No install/post-install scripts declared.Pass
- 30 of 92 dependencies flagged as unhealthy. View diagnostics → Partial
Provenance & Transparency45
- Source repository is publicly reachable at the declared URL. View diagnostics → Pass
- Provenance check failed: no build-provenance attestation is published. See how to fix → View diagnostics → Fail
- Clear OSI-approved license (MIT).Pass
- Actively maintained (last published 2 days ago).Pass
- Disclosure check failed: no security disclosure policy was found in the source repository. See how to fix → Fail
Schema Quality & AI Usability66
- AI-judged instruction clarity (good).Pass
- Tool/resource definitions use about 559 tokens (~46/item across 12 items; 12 tools + 0 resources), lean.Pass
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management0
- Stability not yet verified: not enough scan history yet (needs a 30-day window).Unverified
Tool Coverage100
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 100% of tool parameters carry a description.Pass
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- We read all 12 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 12 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
- Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
Unverified: 1 category
A category scored 0 because we could not verify it: a data source with nothing on this package, evidence we could not reach, or a check we could not run. We only credit what we can confirm.
Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.
- 3 Nov 26 +15
- Malware scan: unverified → pass ▲ security
- 2 Nov 26 53
First indexed and scored.
Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.
Captured 4 Nov 2026 · Analysed npm/@reneturcios/textgraph@0.1.0
Provenance No attestation
The registry publishes no build provenance for this version, so there is nothing to verify.
| Result | No attestation |
|---|---|
| Ecosystem | npm |
Background: How many MCP packages publish verified provenance →
Dependencies 92 packages
| Packages resolved | 92 |
|---|---|
| Stale | 30 |
| Tree resolution | Complete |
Background: SBOMs and build attestations, explained →
The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →
analyze_existing_graph_by_name ~39
Retrieve and analyze an existing graph from the account.
| Name | Type | Req | Description |
|---|---|---|---|
| graphName | string | yes | Name of an existing graph in the account to analyze. |
No output schema declared.
No examples provided.
analyze_text ~59
Analyze a text or URL: topics, clusters, statements, graph structure.
| Name | Type | Req | Description |
|---|---|---|---|
| text | string | – | The text to analyze (provide this or url). |
| url | string | – | URL of a page to fetch and analyze (provide this or text). |
No output schema declared.
No examples provided.
create_knowledge_graph ~84
Create a graph in the account from text and return its link.
| Name | Type | Req | Description |
|---|---|---|---|
| categories | array | – | Optional list of category names for the graph's statements. |
| graphName | string | – | Optional name for the new graph. |
| statements | array | – | Optional list of statements to seed the graph with. |
| text | string | yes | The text to create the graph from. |
No output schema declared.
No examples provided.
difference_between_texts ~44
What's in the other texts but not the first.
| Name | Type | Req | Description |
|---|---|---|---|
| texts | array | yes | The texts to compare; content present in the later texts but not the first is reported. |
No output schema declared.
No examples provided.
generate_content_gaps ~36
Detect missing connections and underexplored topics in a text.
| Name | Type | Req | Description |
|---|---|---|---|
| text | string | yes | The text to analyze for content gaps. |
No output schema declared.
No examples provided.
generate_contextual_hint ~37
Topical overview of a text to augment LLM responses.
| Name | Type | Req | Description |
|---|---|---|---|
| text | string | yes | The text to build a contextual hint from. |
No output schema declared.
No examples provided.
generate_knowledge_graph ~54
Convert text into a knowledge graph: topics, concepts, relationships, clusters.
| Name | Type | Req | Description |
|---|---|---|---|
| graphName | string | – | Optional name for the generated graph. |
| text | string | yes | The text to convert into a knowledge graph. |
No output schema declared.
No examples provided.
generate_research_ideas ~32
Research ideas based on content gaps.
| Name | Type | Req | Description |
|---|---|---|---|
| text | string | yes | The text to derive research ideas from. |
No output schema declared.
No examples provided.
generate_research_questions ~30
Research questions bridging content gaps.
| Name | Type | Req | Description |
|---|---|---|---|
| text | string | yes | The text to derive research questions from. |
No output schema declared.
No examples provided.
generate_topical_clusters ~52
Topics and keyword clusters from text.
| Name | Type | Req | Description |
|---|---|---|---|
| generateTopicalSummaries | boolean | – | When true, also generate a summary for each topical cluster. |
| text | string | yes | The text to cluster into topics. |
No output schema declared.
No examples provided.
optimize_text_structure ~60
Bias/coherence analysis; response type: response, idea, question, or transcend.
| Name | Type | Req | Description |
|---|---|---|---|
| responseType | string | – | Desired response type: response, idea, question, or transcend. |
| text | string | yes | The text whose structure should be optimized. |
No output schema declared.
No examples provided.
overlap_between_texts ~32
Similarities between texts via their graphs.
| Name | Type | Req | Description |
|---|---|---|---|
| texts | array | yes | The texts to compare with each other. |
No output schema declared.
No examples provided.
How do I install the io.github.CloudCorpRecords/textgraph MCP server?
io.github.CloudCorpRecords/textgraph runs locally as an npm package, launched with npx -y @reneturcios/textgraph. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
npm · @reneturcios/textgraph
claude mcp add cloudcorprecords-textgraph -- npx -y @reneturcios/textgraph
What is the io.github.CloudCorpRecords/textgraph MCP server?
io.github.CloudCorpRecords/textgraph is an MCP server listed in the public MCP registry as io.github.CloudCorpRecords/textgraph. Text to knowledge graphs: topics, clusters, gaps, and research ideas via InfraNodus. This page covers its npm package (@reneturcios/textgraph).
Is the io.github.CloudCorpRecords/textgraph MCP server safe to use?
io.github.CloudCorpRecords/textgraph scores 68 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 4 November 2026. It declares no install or post-install scripts. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.
What tools does the io.github.CloudCorpRecords/textgraph MCP server expose?
io.github.CloudCorpRecords/textgraph exposes 12 tools: generate_knowledge_graph, analyze_existing_graph_by_name, analyze_text, generate_content_gaps, generate_topical_clusters, and 7 more. Their descriptions and schemas cost roughly 559 tokens of context every time the server is loaded.
Is the io.github.CloudCorpRecords/textgraph MCP server still maintained?
io.github.CloudCorpRecords/textgraph is still listed as active in the MCP registry. We last reached this channel on 4 November 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.
What licence is the io.github.CloudCorpRecords/textgraph MCP server under?
io.github.CloudCorpRecords/textgraph declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.