# io.github.CloudCorpRecords/textgraph (oci · ghcr.io/cloudcorprecords/textgraph)

Text to knowledge graphs: topics, clusters, gaps, and research ideas via InfraNodus.

- Trust score: 40/100 (low)
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-11-05

## Components

- npm · `@reneturcios/textgraph`: 68/100, [markdown](https://verifymcp.io/servers/cloudcorprecords-textgraph/reneturcios-textgraph.md), [page](https://verifymcp.io/servers/cloudcorprecords-textgraph/reneturcios-textgraph)
- oci · `ghcr.io/cloudcorprecords/textgraph`: 40/100 (this document), [markdown](https://verifymcp.io/servers/cloudcorprecords-textgraph/ghcr-io-cloudcorprecords-textgraph.md), [page](https://verifymcp.io/servers/cloudcorprecords-textgraph/ghcr-io-cloudcorprecords-textgraph)

## Channel facts

- Registry: `oci`
- Package: `ghcr.io/cloudcorprecords/textgraph`
- Version: `0.1.0`
- Transport: `stdio`

## Trust breakdown

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. Scores are 0–100 per category. Scoring method: https://verifymcp.io/docs/scoring (what has changed: https://verifymcp.io/docs/scoring/changelog)

Scored 2026-11-05.

- **Supply Chain Security**: 0/100
  - No malware scan is available for this kind of package: the supply-chain vendors we use do not cover it. This is a permanent gap in our coverage, not a finding about the package.
  - Known CVEs could not be checked: this artifact ships no SBOM or dependency manifest, so there is no dependency list to read.
  - Install-script risk not yet assessed.
  - Dependency health could not be checked: this artifact ships no SBOM or dependency manifest, so there is no dependency list to read.
- **Provenance & Transparency**: 45/100
  - Source repository is publicly reachable at the declared URL.
  - Provenance check failed: no build-provenance attestation is published.
  - Clear OSI-approved license (MIT).
  - Actively maintained (last published 2 days ago).
  - Disclosure check failed: no security disclosure policy was found in the source repository.
- **Schema Quality & AI Usability**: 66/100
  - AI-judged instruction clarity (good).
  - Tool/resource definitions use about 559 tokens (~46/item across 12 items; 12 tools + 0 resources), lean.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 10/100
  - Stability observed for 3 of 30 days with no destabilising changes; credit accrues until the full window elapses.
- **Tool Coverage**: 100/100
  - 100% of tools have a non-trivial description (not blank, and not just the tool's name).
  - 100% of tool parameters carry a description.
- **Tool Safety**: 100/100
  - No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.
  - We read all 12 captured tool definition(s), and no name or description among them implies an irreversible operation.
  - An AI judge read all 12 captured unit(s) of tool text and found none that tries to manipulate the model reading it.
- **Capabilities**: 100/100
  - Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.

**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.

## Install

### How do I install the io.github.CloudCorpRecords/textgraph MCP server?

io.github.CloudCorpRecords/textgraph runs locally as a container image, launched with docker run --rm -i ghcr.io/cloudcorprecords/textgraph:0.1.0. Ready-made configuration for Claude, Cursor, VS Code, Codex and 3 more is on this page, copied from each client's own documentation.

### Claude

```bash
claude mcp add cloudcorprecords-textgraph -- docker run --rm -i ghcr.io/cloudcorprecords/textgraph:0.1.0
```

### Cursor

```json
{
  "mcpServers": {
    "cloudcorprecords-textgraph": {
      "command": "docker",
      "args": [
        "run",
        "--rm",
        "-i",
        "ghcr.io/cloudcorprecords/textgraph:0.1.0"
      ]
    }
  }
}
```

### VS Code

```json
{
  "servers": {
    "cloudcorprecords-textgraph": {
      "command": "docker",
      "args": [
        "run",
        "--rm",
        "-i",
        "ghcr.io/cloudcorprecords/textgraph:0.1.0"
      ]
    }
  }
}
```

### Codex

```bash
codex mcp add cloudcorprecords-textgraph -- docker run --rm -i ghcr.io/cloudcorprecords/textgraph:0.1.0
```

### opencode

```json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "cloudcorprecords-textgraph": {
      "type": "local",
      "command": [
        "docker",
        "run",
        "--rm",
        "-i",
        "ghcr.io/cloudcorprecords/textgraph:0.1.0"
      ],
      "enabled": true
    }
  }
}
```

### Hermes

```yaml
mcp_servers:
  cloudcorprecords-textgraph:
    command: "docker"
    args: ["run", "--rm", "-i", "ghcr.io/cloudcorprecords/textgraph:0.1.0"]
```

### Netclaw

```json
{
  "McpServers": {
    "cloudcorprecords-textgraph": {
      "Transport": "stdio",
      "Command": "docker",
      "Arguments": [
        "run",
        "--rm",
        "-i",
        "ghcr.io/cloudcorprecords/textgraph:0.1.0"
      ]
    }
  }
}
```

### Other

```json
{
  "mcpServers": {
    "cloudcorprecords-textgraph": {
      "command": "docker",
      "args": [
        "run",
        "--rm",
        "-i",
        "ghcr.io/cloudcorprecords/textgraph:0.1.0"
      ]
    }
  }
}
```

## Changelog

Every change recorded for this component, newest first. Days that predate change tracking, or that we cannot explain, say so: "we were watching and nothing happened" and "we were not watching" are different claims.

### 2026-11-04 (score 40, +1)

No change was recorded against any check on this day. Stability & Change Management went from 3 to 7. That category is still filling its 30-day observation window: 1 days of observed history at the previous scan, 2 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-11-02 (score 39)

First indexed and scored.

## MCP tools (12)

### `generate_knowledge_graph` (~54 tokens)

Convert text into a knowledge graph: topics, concepts, relationships, clusters.

Input parameters:

- `graphName` (string): Optional name for the generated graph.
- `text` (string, required): The text to convert into a knowledge graph.

### `analyze_existing_graph_by_name` (~39 tokens)

Retrieve and analyze an existing graph from the account.

Input parameters:

- `graphName` (string, required): Name of an existing graph in the account to analyze.

### `analyze_text` (~59 tokens)

Analyze a text or URL: topics, clusters, statements, graph structure.

Input parameters:

- `text` (string): The text to analyze (provide this or url).
- `url` (string): URL of a page to fetch and analyze (provide this or text).

### `generate_content_gaps` (~36 tokens)

Detect missing connections and underexplored topics in a text.

Input parameters:

- `text` (string, required): The text to analyze for content gaps.

### `generate_topical_clusters` (~52 tokens)

Topics and keyword clusters from text.

Input parameters:

- `generateTopicalSummaries` (boolean): When true, also generate a summary for each topical cluster.
- `text` (string, required): The text to cluster into topics.

### `generate_contextual_hint` (~37 tokens)

Topical overview of a text to augment LLM responses.

Input parameters:

- `text` (string, required): The text to build a contextual hint from.

### `generate_research_questions` (~30 tokens)

Research questions bridging content gaps.

Input parameters:

- `text` (string, required): The text to derive research questions from.

### `generate_research_ideas` (~32 tokens)

Research ideas based on content gaps.

Input parameters:

- `text` (string, required): The text to derive research ideas from.

### `optimize_text_structure` (~60 tokens)

Bias/coherence analysis; response type: response, idea, question, or transcend.

Input parameters:

- `responseType` (string): Desired response type: response, idea, question, or transcend.
- `text` (string, required): The text whose structure should be optimized.

### `create_knowledge_graph` (~84 tokens)

Create a graph in the account from text and return its link.

Input parameters:

- `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, required): The text to create the graph from.

### `overlap_between_texts` (~32 tokens)

Similarities between texts via their graphs.

Input parameters:

- `texts` (array, required): The texts to compare with each other.

### `difference_between_texts` (~44 tokens)

What's in the other texts but not the first.

Input parameters:

- `texts` (array, required): The texts to compare; content present in the later texts but not the first is reported.

## Diagnostics

Captured diagnostic sections: Provenance. The full working is on the page: https://verifymcp.io/servers/cloudcorprecords-textgraph/ghcr-io-cloudcorprecords-textgraph#diagnostics

## Score history

- 2026-11-05: 40
- 2026-11-04: 40
- 2026-11-03: 39
- 2026-11-02: 39

## Common questions

### 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 container image (ghcr.io/cloudcorprecords/textgraph).

### Is the io.github.CloudCorpRecords/textgraph MCP server safe to use?

io.github.CloudCorpRecords/textgraph scores 40 out of 100 on VerifyMCP. 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 5 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.

## Links

- GitHub Container Registry: https://ghcr.io/cloudcorprecords/textgraph
- Repository: https://github.com/CloudCorpRecords/textgraph
- Changelog RSS feed: https://verifymcp.io/servers/cloudcorprecords-textgraph/ghcr-io-cloudcorprecords-textgraph.xml
- Changelog JSON feed: https://verifymcp.io/servers/cloudcorprecords-textgraph/ghcr-io-cloudcorprecords-textgraph.json
- HTML version of this page: https://verifymcp.io/servers/cloudcorprecords-textgraph/ghcr-io-cloudcorprecords-textgraph