# io.github.ravi-p-k-1/insightiq (npm · insightiq-mcp)

Look up real FRED (Federal Reserve Economic Data) series and historical observations.

- Trust score: 66/100 (medium)
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-09-21

## Components

- npm · `insightiq-mcp`: 66/100 (this document), [markdown](https://verifymcp.io/servers/ravi-p-k-1-insightiq/insightiq-mcp.md), [page](https://verifymcp.io/servers/ravi-p-k-1-insightiq/insightiq-mcp)

## Channel facts

- Registry: `npm`
- Package: `insightiq-mcp`
- Version: `1.0.2`
- 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 2026-09-21.

- **Supply Chain Security**: 98/100
  - No malware found by supply-chain analysis.
  - No known CVEs affecting this package version or its production dependencies.
  - No install/post-install scripts declared.
  - 31 of 96 dependencies flagged as unhealthy.
- **Provenance & Transparency**: 32/100
  - Source repository is publicly reachable at the declared URL.
  - Provenance check failed: no build-provenance attestation is published.
  - License check failed: the license (CC0-1.0) isn't a recognized OSI-approved license.
  - Actively maintained (last published 3 days ago).
  - Disclosure check failed: no security disclosure policy was found in the source repository.
- **Schema Quality & AI Usability**: 70/100
  - AI-judged instruction clarity (excellent).
  - Context-footprint check failed: tool/resource definitions use about 819 tokens (~204/item across 4 items; 4 tools + 0 resources), over budget; trim descriptions and params.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 0/100
  - Stability not yet verified: not enough scan history yet (needs a 30-day window).
- **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 4 captured tool definition(s), and no name or description among them implies an irreversible operation.
  - An AI judge read all 4 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.ravi-p-k-1/insightiq MCP server?

io.github.ravi-p-k-1/insightiq runs locally as an npm package, launched with npx -y insightiq-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 ravi-p-k-1-insightiq -- npx -y insightiq-mcp
```

### Cursor

```json
{
  "mcpServers": {
    "ravi-p-k-1-insightiq": {
      "command": "npx",
      "args": [
        "-y",
        "insightiq-mcp"
      ]
    }
  }
}
```

### VS Code

```json
{
  "servers": {
    "ravi-p-k-1-insightiq": {
      "command": "npx",
      "args": [
        "-y",
        "insightiq-mcp"
      ]
    }
  }
}
```

### Codex

```bash
codex mcp add ravi-p-k-1-insightiq -- npx -y insightiq-mcp
```

### opencode

```json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "ravi-p-k-1-insightiq": {
      "type": "local",
      "command": [
        "npx",
        "-y",
        "insightiq-mcp"
      ],
      "enabled": true
    }
  }
}
```

### OpenClaw

```bash
openclaw mcp add ravi-p-k-1-insightiq --command npx --arg -y --arg insightiq-mcp
```

### Hermes

```yaml
mcp_servers:
  ravi-p-k-1-insightiq:
    command: "npx"
    args: ["-y", "insightiq-mcp"]
```

### Netclaw

```json
{
  "McpServers": {
    "ravi-p-k-1-insightiq": {
      "Transport": "stdio",
      "Command": "npx",
      "Arguments": [
        "-y",
        "insightiq-mcp"
      ]
    }
  }
}
```

### Vellum

```bash
assistant mcp add ravi-p-k-1-insightiq -t stdio -c npx -a -y insightiq-mcp
```

### Other

```json
{
  "mcpServers": {
    "ravi-p-k-1-insightiq": {
      "command": "npx",
      "args": [
        "-y",
        "insightiq-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.

### 2026-09-18 (score 66)

First indexed and scored.

## MCP tools (4)

### `search_economic_series` (~262 tokens)

Search economic series

Search FRED (Federal Reserve Economic Data) for real economic data series matching a topic. Returns real FRED series IDs and titles only — never invents series IDs. Provide 1-3 concise, FRED-style keyword phrases (e.g. "consumer price index", "Texas unemployment rate"), not a full conversational question — FRED search matches every word in a phrase, so short, specific phrases work far better than full sentences. Include likely synonyms or named entities (a state, a specific indicator name) as separate phrases to improve recall.

Input parameters:

- `excludeTags` (array): Optional FRED tag names that returned series must NOT have (e.g. ["nsa"] to exclude seasonally-unadjusted series).
- `limit` (integer): Maximum number of series to return. Defaults to 4.
- `queries` (array, required): 1 to 3 concise economic search phrases, e.g. ["inflation", "consumer price index"].
- `tags` (array): Optional FRED tag names that returned series must ALL have (e.g. ["usa", "state"] to force state-level series). Use list_series_tags first to find valid tag names for your topic — an unrecognized tag…

### `get_series_observations` (~85 tokens)

Get series observations

Fetch historical annual observations and units for specific real FRED series IDs. Returns raw retrieved data only — it does not generate any explanation or analysis. Use search_economic_series first to find real series IDs, then interpret the returned observations yourself to answer the user's question.

Input parameters:

- `series` (array, required): FRED series to fetch, typically the output of search_economic_series.

### `get_economic_data` (~283 tokens)

Get economic data for a question

Convenience tool that chains search_economic_series and get_series_observations in one call: searches FRED for series relevant to a question, then fetches their observations. Returns raw retrieved data only (series, units, observations) — you (the calling agent) should analyze this data yourself and write the explanation, this tool does not generate one. For better recall on vague questions, optionally pass searchQueries with 1-3 concise FRED-style keyword phrases; otherwise the question itself is used as the search text.

Input parameters:

- `excludeTags` (array): Optional FRED tag names that returned series must NOT have (e.g. ["nsa"] to exclude seasonally-unadjusted series).
- `limit` (integer): Maximum number of series to search for and fetch data on. Defaults to 4.
- `question` (string, required): The natural-language economic question being asked.
- `searchQueries` (array): Optional: 1-3 concise search phrases to use instead of the raw question, e.g. ["inflation", "consumer price index"].
- `tags` (array): Optional FRED tag names that returned series must ALL have (e.g. ["usa", "state"] to force state-level series). Use list_series_tags first to find valid tag names for your topic — an unrecognized tag…

### `list_series_tags` (~189 tokens)

List series tags

Discover the FRED tags that actually exist among series matching a topic, and how many series each tag covers. Use this before narrowing search_economic_series or get_economic_data with tags/excludeTags — FRED tag names are a controlled vocabulary (geography codes, "sa"/"nsa" for seasonal adjustment, frequency like "monthly") that usually cannot be guessed reliably, so guessing a wrong tag name silently returns zero results instead of erroring. Common tag groups include geography (e.g. "usa", "state", state postal codes like "tx"), seasonal adjustment ("sa", "nsa"), and frequency ("monthly", "quarterly", "annual").

Input parameters:

- `limit` (integer): Maximum number of tags to return, ordered by how many series they cover. Defaults to 20.
- `query` (string, required): A concise topic phrase, e.g. "unemployment rate".

## Diagnostics

Captured diagnostic sections: Provenance, Dependencies. The full working is on the page: https://verifymcp.io/servers/ravi-p-k-1-insightiq/insightiq-mcp#diagnostics

## Score history

- 2026-09-21: 66
- 2026-09-20: 66
- 2026-09-19: 66
- 2026-09-18: 66

## Common questions

### What is the io.github.ravi-p-k-1/insightiq MCP server?

io.github.ravi-p-k-1/insightiq is an MCP server listed in the public MCP registry as io.github.ravi-p-k-1/insightiq. Look up real FRED (Federal Reserve Economic Data) series and historical observations. This page covers its npm package (insightiq-mcp).

### Is the io.github.ravi-p-k-1/insightiq MCP server safe to use?

io.github.ravi-p-k-1/insightiq scores 66 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 21 September 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.ravi-p-k-1/insightiq MCP server expose?

io.github.ravi-p-k-1/insightiq exposes 4 tools: search_economic_series, get_series_observations, get_economic_data, list_series_tags. Their descriptions and schemas cost roughly 819 tokens of context every time the server is loaded.

### Is the io.github.ravi-p-k-1/insightiq MCP server still maintained?

io.github.ravi-p-k-1/insightiq is still listed as active in the MCP registry. We last reached this channel on 21 September 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.ravi-p-k-1/insightiq MCP server under?

io.github.ravi-p-k-1/insightiq declares the CC0-1.0 licence, which is not on the OSI-approved list. Read the terms before using it at work, and note this covers the source only, not the cost of any service it calls.

## Links

- npm package: https://www.npmjs.com/package/insightiq-mcp
- Socket report: https://socket.dev/npm/package/insightiq-mcp
- Repository: https://github.com/ravi-p-k-1/InsightIQ
- Changelog RSS feed: https://verifymcp.io/servers/ravi-p-k-1-insightiq/insightiq-mcp.xml
- Changelog JSON feed: https://verifymcp.io/servers/ravi-p-k-1-insightiq/insightiq-mcp.json
- HTML version of this page: https://verifymcp.io/servers/ravi-p-k-1-insightiq/insightiq-mcp