# Industrial Platform Research (npm · industrial-platform-research-mcp)

Agent-native current web research with citations, structured QA, and unresolved-fact handling.

- Trust score: 81/100 (high trust)
- Change this week: +3
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-10-18

## Components

- npm · `industrial-platform-research-mcp`: 81/100 (this document), [markdown](https://verifymcp.io/servers/industrial-platform-ai-research-mcp/industrial-platform-research-mcp.md), [page](https://verifymcp.io/servers/industrial-platform-ai-research-mcp/industrial-platform-research-mcp)

## Channel facts

- Registry: `npm`
- Package: `industrial-platform-research-mcp`
- Version: `0.1.1`
- 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 2026-10-18.

- **Supply Chain Security**: 100/100
  - No malware found by supply-chain analysis.
  - No known CVEs affecting this package version or its production dependencies.
  - No install/post-install scripts declared.
  - 0 of 3 dependencies flagged as unhealthy.
- **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 18 days ago).
  - Disclosure check failed: no security disclosure policy was found in the source repository.
- **Schema Quality & AI Usability**: 86/100
  - AI-judged instruction clarity (excellent).
  - Tool/resource definitions use about 140 tokens (~140/item across 1 items; 1 tools + 0 resources), lean.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 63/100
  - Stability observed for 19 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.
  - Structured output schemas are declared (100% of tools); any adoption earns full credit.
- **Tool Safety**: 100/100
  - No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.
  - We read all 1 captured tool definition(s), and no name or description among them implies an irreversible operation.
  - An AI judge read all 1 captured unit(s) of tool text and found none that tries to manipulate the model reading it.
- **Capabilities**: 100/100
  - Implements a current MCP spec version (2026-07-28).

## Install

### How do I install the Industrial Platform Research MCP server?

Industrial Platform Research runs locally as an npm package, launched with npx -y industrial-platform-research-mcp. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

### Claude

```bash
claude mcp add industrial-platform-ai-research-mcp -- npx -y industrial-platform-research-mcp
```

### Cursor

```json
{
  "mcpServers": {
    "industrial-platform-ai-research-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "industrial-platform-research-mcp"
      ]
    }
  }
}
```

### VS Code

```json
{
  "servers": {
    "industrial-platform-ai-research-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "industrial-platform-research-mcp"
      ]
    }
  }
}
```

### Codex

```bash
codex mcp add industrial-platform-ai-research-mcp -- npx -y industrial-platform-research-mcp
```

### opencode

```json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "industrial-platform-ai-research-mcp": {
      "type": "local",
      "command": [
        "npx",
        "-y",
        "industrial-platform-research-mcp"
      ],
      "enabled": true
    }
  }
}
```

### OpenClaw

```bash
openclaw mcp add industrial-platform-ai-research-mcp --command npx --arg -y --arg industrial-platform-research-mcp
```

### Hermes

```yaml
mcp_servers:
  industrial-platform-ai-research-mcp:
    command: "npx"
    args: ["-y", "industrial-platform-research-mcp"]
```

### Netclaw

```json
{
  "McpServers": {
    "industrial-platform-ai-research-mcp": {
      "Transport": "stdio",
      "Command": "npx",
      "Arguments": [
        "-y",
        "industrial-platform-research-mcp"
      ]
    }
  }
}
```

### Vellum

```bash
assistant mcp add industrial-platform-ai-research-mcp -t stdio -c npx -a -y industrial-platform-research-mcp
```

### Other

```json
{
  "mcpServers": {
    "industrial-platform-ai-research-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "industrial-platform-research-mcp"
      ]
    }
  }
}
```

## 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.

### 2026-10-17 (score 81, +1)

No change was recorded against any check on this day. Stability & Change Management went from 57 to 60. That category is still filling its 30-day observation window: 17 days of observed history at the previous scan, 18 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-10-15 (score 80, +1)

No change was recorded against any check on this day. Stability & Change Management went from 50 to 53. That category is still filling its 30-day observation window: 15 days of observed history at the previous scan, 16 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-10-13 (score 79, 0)

- [functional regression] Security disclosure: unverified → fail

### 2026-10-12 (score 79, +1)

No change was recorded against any check on this day. Stability & Change Management went from 40 to 43. That category is still filling its 30-day observation window: 12 days of observed history at the previous scan, 13 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-10-11 (score 78, +6)

- [functional regression] Security disclosure: fail → unverified
- [functional improvement] Stability: unverified → 0.40

### 2026-09-30 (score 72, +15)

- [security improvement] Malware scan: unverified → pass

### 2026-09-29 (score 57)

First indexed and scored.

## MCP tools (1)

### `research_web` (~140 tokens)

Industrial Platform Web Research

Delegate current web research to Industrial Platform. Use this tool for questions requiring current facts, source-backed research, competitor or vendor analysis, pricing research, product comparisons, market research, technology research, or fact verification. The service gathers live web evidence, produces a cited research brief, and performs automated quality review before returning the result.

Input parameters:

- `context` (string): Optional background, decision context, audience information, or other information that should shape the research.
- `requirements` (string): Optional requirements such as source restrictions, comparison criteria, output format, length, geography, or date constraints.
- `research_question` (string, required): The specific research question the service should investigate.

Output parameters:

- `brief` (string)
- `message` (string)
- `qa` (object)
- `research` (object)
- `research_date` (string)
- `research_question` (string)
- `status` (string)
- `usage` (object)

## Diagnostics

Captured diagnostic sections: Provenance, Dependencies. The full working is on the page: https://verifymcp.io/servers/industrial-platform-ai-research-mcp/industrial-platform-research-mcp#diagnostics

## Score history

- 2026-10-18: 81
- 2026-10-17: 81
- 2026-10-16: 80
- 2026-10-15: 80
- 2026-10-14: 79
- 2026-10-13: 79
- 2026-10-12: 79
- 2026-10-11: 78
- 2026-10-04: 72
- 2026-10-03: 72
- 2026-10-02: 72
- 2026-10-01: 72
- 2026-09-30: 72
- 2026-09-29: 57

## Common questions

### What is the Industrial Platform Research MCP server?

Industrial Platform Research is an MCP server listed in the public MCP registry as io.github.industrial-platform-ai/research-mcp. Agent-native current web research with citations, structured QA, and unresolved-fact handling. This page covers its npm package (industrial-platform-research-mcp).

### Is the Industrial Platform Research MCP server safe to use?

Industrial Platform Research scores 81 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 18 October 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 Industrial Platform Research MCP server expose?

Industrial Platform Research exposes 1 tool: research_web. Their descriptions and schemas cost roughly 140 tokens of context every time the server is loaded.

### Is the Industrial Platform Research MCP server still maintained?

Industrial Platform Research is still listed as active in the MCP registry. We last reached this channel on 18 October 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 Industrial Platform Research MCP server under?

Industrial Platform Research 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

- npm package: https://www.npmjs.com/package/industrial-platform-research-mcp
- Socket report: https://socket.dev/npm/package/industrial-platform-research-mcp
- Repository: https://github.com/industrial-platform-ai/industrial-platform-agent-tools
- Website: https://github.com/industrial-platform-ai/industrial-platform-agent-tools/tree/main/packages/research-mcp
- Changelog RSS feed: https://verifymcp.io/servers/industrial-platform-ai-research-mcp/industrial-platform-research-mcp.xml
- Changelog JSON feed: https://verifymcp.io/servers/industrial-platform-ai-research-mcp/industrial-platform-research-mcp.json
- HTML version of this page: https://verifymcp.io/servers/industrial-platform-ai-research-mcp/industrial-platform-research-mcp