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io.github.axionquant/axionquant

NPM · @AXIONQUANT/MCP · SCANNED OCT 1

MCP server for AxionQuant financial data, including market, economic, SEC filing, and company data.

Available components

0 this week 82 Trust /100
Trust breakdown (7 categories)

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
  • 31 of 92 dependencies flagged as unhealthy. View diagnostics → Partial
Provenance & Transparency45
Schema Quality & AI Usability68
  • AI-judged instruction clarity (good).Pass
  • Tool/resource definitions use about 4426 tokens (~33/item across 132 items; 132 tools + 0 resources), lean.Pass
  • Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management93
  • Stability observed for 28 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
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 132 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
  • An AI judge read all 132 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
Install

How do I install the io.github.axionquant/axionquant MCP server?

io.github.axionquant/axionquant runs locally as an npm package, launched with npx -y @axionquant/mcp. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

npm · @axionquant/mcp

# add to Claude Code
claude mcp add axionquant-axionquant -- npx -y @axionquant/mcp
// .cursor/mcp.json
{
  "mcpServers": {
    "axionquant-axionquant": {
      "command": "npx",
      "args": [
        "-y",
        "@axionquant/mcp"
      ]
    }
  }
}
// .vscode/mcp.json
{
  "servers": {
    "axionquant-axionquant": {
      "command": "npx",
      "args": [
        "-y",
        "@axionquant/mcp"
      ]
    }
  }
}
# add to Codex CLI
codex mcp add axionquant-axionquant -- npx -y @axionquant/mcp
// opencode.json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "axionquant-axionquant": {
      "type": "local",
      "command": [
        "npx",
        "-y",
        "@axionquant/mcp"
      ],
      "enabled": true
    }
  }
}
# add to OpenClaw
openclaw mcp add axionquant-axionquant --command npx --arg -y --arg @axionquant/mcp
# ~/.hermes/config.yaml
mcp_servers:
  axionquant-axionquant:
    command: "npx"
    args: ["-y", "@axionquant/mcp"]
// ~/.netclaw/config/netclaw.json
{
  "McpServers": {
    "axionquant-axionquant": {
      "Transport": "stdio",
      "Command": "npx",
      "Arguments": [
        "-y",
        "@axionquant/mcp"
      ]
    }
  }
}
# add to Vellum
assistant mcp add axionquant-axionquant -t stdio -c npx -a -y @axionquant/mcp
// mcp.json
{
  "mcpServers": {
    "axionquant-axionquant": {
      "command": "npx",
      "args": [
        "-y",
        "@axionquant/mcp"
      ]
    }
  }
}
Changelog

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.

  • 1 Oct 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 90 to 93. That category is still filling its 30-day observation window: 27 days of observed history at the previous scan, 28 at this one. The score rises as the window fills, whether or not the server changes.

  • 29 Sept 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 83 to 87. That category is still filling its 30-day observation window: 25 days of observed history at the previous scan, 26 at this one. The score rises as the window fills, whether or not the server changes.

  • 28 Sept 26 0
    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
  • 27 Sept 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 77 to 80. That category is still filling its 30-day observation window: 23 days of observed history at the previous scan, 24 at this one. The score rises as the window fills, whether or not the server changes.

  • 26 Sept 26 −4
    • Stability: pass → 0.77 functional
  • 25 Sept 26 +1
    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
  • 23 Sept 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 90 to 93. That category is still filling its 30-day observation window: 27 days of observed history at the previous scan, 28 at this one. The score rises as the window fills, whether or not the server changes.

  • 21 Sept 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 83 to 87. That category is still filling its 30-day observation window: 25 days of observed history at the previous scan, 26 at this one. The score rises as the window fills, whether or not the server changes.

Diagnostics

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 1 Oct 2026 · Analysed npm/@axionquant/mcp@1.1.2

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 31
Tree resolution Complete

Background: SBOMs and build attestations, explained →

MCP tools · 132 exposed · ~4,426 tokens

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 →

Tool Tokens
insiders_ownership ~23

Get major holders breakdown

NameTypeReqDescription
tickerstringyesStock ticker

No output schema declared.

No examples provided.

insiders_transactions ~21

Get insider transactions

NameTypeReqDescription
tickerstringyesStock ticker

No output schema declared.

No examples provided.

news_article ~33

Get the full URL for a news article by its encoded ID

NameTypeReqDescription
idstringyesArticle ID from news results

No output schema declared.

No examples provided.

news_category ~32

Get news for a specific category

NameTypeReqDescription
categorystringyesCategory (e.g., 'business', 'technology')

No output schema declared.

No examples provided.

news_country ~26

Get news for a specific country

NameTypeReqDescription
countrystringyesCountry name or code

No output schema declared.

No examples provided.

news_general ~13

Get general news headlines

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

news_ticker ~27

Get news for a specific company by ticker

NameTypeReqDescription
tickerstringyesStock ticker

No output schema declared.

No examples provided.

profiles_calendar ~30

Get calendar events (earnings, dividends) for a ticker

NameTypeReqDescription
tickerstringyesStock ticker

No output schema declared.

No examples provided.

profiles_info ~27

Get company info / summary profile for a ticker

NameTypeReqDescription
tickerstringyesStock ticker

No output schema declared.

No examples provided.

profiles_profile ~25

Get full asset profile for a ticker

NameTypeReqDescription
tickerstringyesStock ticker

No output schema declared.

No examples provided.

profiles_recommendation ~26

Get recommendation trend for a ticker

NameTypeReqDescription
tickerstringyesStock ticker

No output schema declared.

No examples provided.

profiles_statistics ~24

Get key statistics for a ticker

NameTypeReqDescription
tickerstringyesStock ticker

No output schema declared.

No examples provided.

profiles_summary ~24

Get summary detail for a ticker

NameTypeReqDescription
tickerstringyesStock ticker

No output schema declared.

No examples provided.

sentiment_all ~31

Get combined sentiment (social, news, analyst) for a ticker

NameTypeReqDescription
tickerstringyesStock ticker

No output schema declared.

No examples provided.

sentiment_analyst ~28

Get analyst/AI sentiment for a ticker

NameTypeReqDescription
tickerstringyesStock ticker

No output schema declared.

No examples provided.

sentiment_news ~24

Get news sentiment for a ticker

NameTypeReqDescription
tickerstringyesStock ticker

No output schema declared.

No examples provided.

sentiment_social ~25

Get social media sentiment for a ticker

NameTypeReqDescription
tickerstringyesStock ticker

No output schema declared.

No examples provided.

stocks_gainers ~15

Get top stock gainers

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

stocks_list_country ~16

Get unique country values for stocks

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

stocks_list_currency ~16

Get unique currency values for stocks

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

stocks_list_industry ~17

Get unique industry values for stocks

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

stocks_list_market ~16

Get unique market values for stocks

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

stocks_list_sector ~16

Get unique sector values for stocks

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

stocks_list_type ~16

Get unique type values for stocks

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

stocks_losers ~15

Get top stock losers

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

stocks_prices ~75

Get historical price data for a stock

NameTypeReqDescription
framestring–Time frame (e.g., '1d', '1wk', '1mo')
fromstring–Start date (YYYY-MM-DD)
tickerstringyesStock ticker
tostring–End date (YYYY-MM-DD)

No output schema declared.

No examples provided.

stocks_quote ~28

Get a stock quote

NameTypeReqDescription
tickerstringyesStock ticker (e.g., AAPL)

No output schema declared.

No examples provided.

stocks_tickers ~53

List stock tickers, optionally filtered by country or exchange

NameTypeReqDescription
countrystring–Filter by country (e.g., 'america')
exchangestring–Filter by exchange (e.g., 'NASDAQ')

No output schema declared.

No examples provided.

supply_chain_customers ~27

Get supply chain customers for a company

NameTypeReqDescription
tickerstringyesStock ticker

No output schema declared.

No examples provided.

supply_chain_peers ~27

Get supply chain competitors for a company

NameTypeReqDescription
tickerstringyesStock ticker

No output schema declared.

No examples provided.

supply_chain_suppliers ~27

Get supply chain suppliers for a company

NameTypeReqDescription
tickerstringyesStock ticker

No output schema declared.

No examples provided.

webtraffic_traffic ~27

Get website traffic data for a company

NameTypeReqDescription
tickerstringyesStock ticker

No output schema declared.

No examples provided.

Common questions

What is the io.github.axionquant/axionquant MCP server?

io.github.axionquant/axionquant is an MCP server listed in the public MCP registry as io.github.axionquant/axionquant. MCP server for AxionQuant financial data, including market, economic, SEC filing, and company data. This page covers its npm package (@axionquant/mcp).

Is the io.github.axionquant/axionquant MCP server safe to use?

io.github.axionquant/axionquant scores 82 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 1 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 io.github.axionquant/axionquant MCP server expose?

io.github.axionquant/axionquant exposes 132 tools: credit_search, credit_ratings, esg_data, etf_tickers, etf_gainers, and 127 more. Their descriptions and schemas cost roughly 4,426 tokens of context every time the server is loaded.

Is the io.github.axionquant/axionquant MCP server still maintained?

io.github.axionquant/axionquant is still listed as active in the MCP registry. We last reached this channel on 1 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 io.github.axionquant/axionquant MCP server under?

io.github.axionquant/axionquant declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.