AION Indian Market Intelligence for Macro Event & Sector Impact Analysis

MCP server · PyPI · ★ 22 · graded 2026-10-23Source linked

Indian macro-event and sector impact intelligence for MCP workflows.

No outside reports on file

AION Indian Market Intelligence for Macro Event & Sector Impact Analysis is distributed via PyPI (aion-indian-market-intelligence); review its source code, dependencies, and requested permissions before use.

Based on public adoption and transparency signals as of Oct 23, 2026. Our opinion, not a code audit or security guarantee.

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What it can access

  • Local filesNo local folder access notedLOW
  • Command executionRuns shell or system commandsREVIEW
  • Network reachConnects to outside service APINOTED
  • CredentialsNo API token requiredLOW
  • Package sourcePyPI (aion-indian-market-intelligence)PUBLIC

Inferred from this listing’s public package details and description. Check the project’s source before installing.

Install

uvx aion-indian-market-intelligence

All setup options ↓

Everything known

We found nothing about this project in the sources we read (last checked 2026-10-30). That does not mean it has no problems.

0 incidents · 0 advisories · 0 news articles · 0 community threads · checked 2026-10-30

Popularity grade: D (from public signals such as stars and downloads, not a code review). Graded 2026-10-23.

Sources we read: OSV, GitHub Advisory Database, CISA Known Exploited Vulnerabilities, 44 security news feeds and our incident library. Last checked 2026-10-30.

Check a specific version →

About AION Indian Market Intelligence for Macro Event & Sector Impact Analysis

AION Indian Market Intelligence for Macro Event & Sector Impact Analysis is an MCP server focused on General: Indian macro-event and sector impact intelligence for MCP workflows.

It is published on PyPI as aion-indian-market-intelligence and hosted on GitHub at AION-Analytics/aion-indian-market-intelligence (22 GitHub stars, 176 PyPI downloads, last repository push on 2026-10-18). Based on its public metadata, it operates with standard local or API scope without broad shell execution flags noted.

Setup

Check these steps against the project’s own instructions before running anything.

Run the PyPI package aion-indian-market-intelligence in an isolated environment:

bash
uvx aion-indian-market-intelligence

See https://github.com/AION-Analytics/aion-indian-market-intelligence (opens external site) for required environment variables.

Why this grade

DD — High risk signals

Signal-based grade (1/7 points): public source code. This reflects adoption and transparency, not a code review.

Popularity and upkeep

32/100
GitHub stars
22
PyPI downloads
176
Listing last refreshed
2026-10-28

These are public popularity signals, not a maintenance check. Look at the repository’s commit history and open issues.

Risks to watch for

  • Dependency & version pinning: Distributed via PyPI (aion-indian-market-intelligence). Pin an exact release version or commit SHA rather than floating tags so upstream updates are reviewed first.

How to lower the risk

Least-privilege permissions

  • Give it access only to the specific folders, accounts or projects it needs, never your whole drive or admin account.
  • Use a separate, limited API key or login just for this tool so you can switch it off without affecting anything else.

Network isolation

  • Run it on a work computer or sandbox account, not one holding personal or company-sensitive data.
  • If your IT team can, limit which websites and services it is allowed to contact.

Monitoring

  • Check its activity history or logs weekly at first, and look at what it changed or sent.
  • Turn on alerts for new logins or unusual usage on any account it connects to.

Red flags to watch for

  • It asks for more access than its job requires, or prompts you to paste passwords.
  • It suddenly updates with new owners, or starts contacting unfamiliar websites.

Questions

How do I install AION Indian Market Intelligence for Macro Event & Sector Impact Analysis?

Run uvx aion-indian-market-intelligence (or pip install aion-indian-market-intelligence) in your terminal, or add the server entry to your claude_desktop_config.json or .cursor/mcp.json as shown in the Setup section on this page. Full setup docs and environment variables are in github.com/AION-Analytics/aion-indian-market-intelligence.

Are there security reports about AION Indian Market Intelligence for Macro Event & Sector Impact Analysis?

No reports found for this package in our research (last checked 2026-10-30). AION Indian Market Intelligence for Macro Event & Sector Impact Analysis currently holds Grade D (High risk signals) based on public adoption and transparency signals. Key risk areas to watch include dependency & version pinning:.

Is AION Indian Market Intelligence for Macro Event & Sector Impact Analysis actively maintained?

AION Indian Market Intelligence for Macro Event & Sector Impact Analysis has 22 GitHub stars and 176 PyPI downloads, with its latest repository commit pushed on 2026-10-18. Our directory data was last refreshed on 2026-10-28. Check recent commit activity, release tags, and open issues at github.com/AION-Analytics/aion-indian-market-intelligence before pinning it in production.

What are alternatives to AION Indian Market Intelligence for Macro Event & Sector Impact Analysis?

Compare AION Indian Market Intelligence for Macro Event & Sector Impact Analysis side by side with similar MCP servers in the Related tools section on this page, or browse all MCP servers on AgentArmorHQ.

README badge and team notes

Maintain or use AION Indian Market Intelligence for Macro Event & Sector Impact Analysis? Show its live grade in your GitHub README, docs site, or run a check from the terminal before you install.

AgentArmorHQ Risk Grade D for AION Indian Market Intelligence for Macro Event & Sector Impact Analysis

GitHub README Markdown:

markdown
[![AgentArmorHQ Risk Grade for AION Indian Market Intelligence for Macro Event & Sector Impact Analysis](https://agentarmorhq.com/api/badge/aion-analytics-aion-indian-market-intelligence)](https://agentarmorhq.com/skills/aion-analytics-aion-indian-market-intelligence)

HTML embed:

html
<a href="https://agentarmorhq.com/skills/aion-analytics-aion-indian-market-intelligence"><img src="https://agentarmorhq.com/api/badge/aion-analytics-aion-indian-market-intelligence" alt="AgentArmorHQ Risk Grade for AION Indian Market Intelligence for Macro Event &amp; Sector Impact Analysis" height="20" /></a>

Terminal check:

terminal
curl -fsSL https://agentarmorhq.com/api/cli | node --input-type=module - check "aion-analytics-aion-indian-market-intelligence"

Share with your security lead

Need sign-off to use AION Indian Market Intelligence for Macro Event & Sector Impact Analysis? Copy this note for Slack, a ticket or a pull request.

### AgentArmorHQ Security Review Memo: AION Indian Market Intelligence for Macro Event & Sector Impact Analysis
- **Listing URL:** https://agentarmorhq.com/skills/aion-analytics-aion-indian-market-intelligence
- **Type:** App connector
- **Risk Grade:** Grade D (High risk signals)
- **Outside Security Advisories on File:** 0
- **Public Adoption:** 22 GitHub stars

#### Permission & Blast-Radius Signals
- **Local files:** No local folder access noted
- **Command execution:** Runs shell or system commands
- **Network reach:** Connects to outside service API
- **Credentials:** No API token required
- **Package source:** PyPI (aion-indian-market-intelligence)

#### Recommended Hardened Setup
- **Command:** `uvx aion-indian-market-intelligence`
- **Controls:** Pin an exact version in `.mcp.json`, scope access to a single workspace folder, and use a least-privilege read-only token where supported.

_Based on public adoption and transparency signals as of Oct 23, 2026. Our opinion, not a code audit or security guarantee._

Key facts

Type
App connector
Publisher
AION-Analytics
Source code
github.com/AION-Analytics/aion-indian-market-intelligence
Install command
pip install aion-indian-market-intelligence
Est. context load
~500 tokens / turn (~3 tool schemas, 0.25% of 200k context)
Popularity
22 GitHub stars, 176 PyPI downloads
Last updated
2026-10-28
Last graded
2026-10-23

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