io.github.vanoe-ai/vanoe-intelligence-mcp
PYPI · VANOE-INTELLIGENCE-MCP
Stock verdicts, trend stage, P&F, breadth, macro regime, SEC filings. Free key: api.vanoe.ai/signup
Available components
Last scanned (19 minutes ago)
Scores higher than 63% of PyPI servers
Category Finance and Payments
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 Security50
- Malware scan not yet available for this package.Unverified
- No known CVEs affecting this package version or its production dependencies.Pass
- Runs setuptools.build_meta at install time, a recognised build step with no custom scripting around it. View diagnostics → Pass
- 1 of 31 dependencies flagged as unhealthy. View diagnostics → Partial
Provenance & Transparency45
- Source repository is publicly reachable at the declared URL. View diagnostics → Pass
- Provenance check failed: no build-provenance attestation is published. See how to fix → View diagnostics → Fail
- Clear OSI-approved license (MIT).Pass
- Actively maintained (last published 47 days ago).Pass
- Disclosure check failed: no security disclosure policy was found in the source repository. See how to fix → Fail
Schema Quality & AI Usability75
- AI-judged instruction clarity (good).Pass
- Tool/resource definitions use about 580 tokens (~58/item across 10 items; 10 tools + 0 resources), lean.Pass
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management100
- No destabilizing schema changes in the last 30 days.Pass
Tool Coverage71
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 0% of tool parameters carry a description.Fail
- Structured output schemas are declared (100% of tools); any adoption earns full credit.Pass
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- We read all 10 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 11 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
- Implements a current MCP spec version (2026-07-28).Pass
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.
- 4 Nov 26 −15
- Malware scan: pass → unverified ▼ security
- 1 Nov 26 0
- Stability: 0.97 → pass security
- 31 Oct 26 0
- Stability: pass → 0.97 functional
- 30 Oct 26 +15
- Malware scan: unverified → pass ▲ security
- 29 Oct 26 0
- Provenance: unverified → fail ▼ security
- 28 Oct 26 0
- Provenance: fail → unverified ▼ security
- 26 Oct 26 −15
- Malware scan: pass → unverified ▼ security
- 25 Oct 26 0
- Stability: 0.97 → pass security
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 5 Nov 2026 · Analysed pypi/vanoe-intelligence-mcp@0.1.6
Provenance No attestation
The registry publishes no build provenance for this version, so there is nothing to verify.
| Result | No attestation |
|---|---|
| Ecosystem | pypi |
| Reason | No attestation published |
Background: How many MCP packages publish verified provenance →
Install scripts 1 script
| Hook | Tier | Command |
|---|---|---|
| build_backend | allowlisted | setuptools.build_meta |
Background: Why install scripts are a supply-chain risk →
Dependencies 31 packages
| Packages resolved | 31 |
|---|---|
| No linked repository | 1 |
| Tree resolution | Complete |
Background: SBOMs and build attestations, explained →
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 →
get_calendar ~46
Upcoming macro events (FOMC, CPI, payrolls) within a look-ahead window in days (default 10, max 60).
| Name | Type | Req | Description |
|---|---|---|---|
| within_days | integer | – | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
get_filings ~34
Recent SEC insider transactions (Form 4) and 8-K filings for one ticker.
| Name | Type | Req | Description |
|---|---|---|---|
| ticker | string | yes | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
get_macro ~28
Macro regime (risk_on/neutral/risk_off), rates, inflation, yield curve, positioning.
Input schema present but exposes no named parameters.
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
get_pnf ~49
Point & Figure signal, breakout pattern, and relative strength vs SPY, for up to 50 tickers. Pass tickers as a comma-separated string.
| Name | Type | Req | Description |
|---|---|---|---|
| tickers | string | yes | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
get_sector_breadth ~33
Bullish-percent breadth by sector — the % of names in each sector on a Point & Figure buy signal.
Input schema present but exposes no named parameters.
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
get_short_pressure ~82
Short pressure for up to 50 tickers: FINRA daily short-sale volume (share of volume sold short, latest, 10-day average, trend; market norm roughly 40-55%) plus the latest short-interest report (shares short, days to cover, change). Pass tickers as a comma-separated string.
| Name | Type | Req | Description |
|---|---|---|---|
| tickers | string | yes | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
get_stage ~70
Stage analysis (1=Basing, 2=Advancing, 3=Topping, 4=Declining) for up to 50 tickers. Pass tickers as a comma-separated string, e.g. 'AAPL,MSFT,NVDA'.
| Name | Type | Req | Description |
|---|---|---|---|
| tickers | string | yes | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
get_stage_history ~66
Historical weekly trend-stage series for one ticker, walk-forward computed (no lookahead) — the only commercial source of trend stages as a backtest-safe data series. weeks defaults to 104, max 520.
| Name | Type | Req | Description |
|---|---|---|---|
| ticker | string | yes | – |
| weeks | integer | – | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
get_usage ~28
Your current billing-period usage and remaining credit quota on your plan. Free — never counts against quota.
Input schema present but exposes no named parameters.
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
get_verdict ~78
Composite verdict for one ticker: fuses trend stage, Point & Figure, insider-transaction clusters, and macro regime into a 0-100 score, an accumulate/hold/distribute/avoid enum, and a plain-English rationale. One call replaces separately calling stage, pnf, filings, and macro.
| Name | Type | Req | Description |
|---|---|---|---|
| ticker | string | yes | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
How do I install the io.github.vanoe-ai/vanoe-intelligence-mcp server?
io.github.vanoe-ai/vanoe-intelligence-mcp runs locally as a PyPI package, launched with uvx vanoe-intelligence-mcp. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
pypi · vanoe-intelligence-mcp
claude mcp add vanoe-ai-vanoe-intelligence-mcp -- uvx vanoe-intelligence-mcp
What is the io.github.vanoe-ai/vanoe-intelligence-mcp server?
io.github.vanoe-ai/vanoe-intelligence-mcp is listed in the public MCP registry as io.github.vanoe-ai/vanoe-intelligence-mcp. Stock verdicts, trend stage, P&F, breadth, macro regime, SEC filings. Free key: api.vanoe.ai/signup. This page covers its PyPI package (vanoe-intelligence-mcp).
Is the io.github.vanoe-ai/vanoe-intelligence-mcp server safe to use?
io.github.vanoe-ai/vanoe-intelligence-mcp scores 67 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 5 November 2026. 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.vanoe-ai/vanoe-intelligence-mcp server expose?
io.github.vanoe-ai/vanoe-intelligence-mcp exposes 10 tools: get_macro, get_stage, get_stage_history, get_pnf, get_sector_breadth, and 5 more. Their descriptions and schemas cost roughly 514 tokens of context every time the server is loaded.
Is the io.github.vanoe-ai/vanoe-intelligence-mcp server still maintained?
io.github.vanoe-ai/vanoe-intelligence-mcp 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.vanoe-ai/vanoe-intelligence-mcp server under?
io.github.vanoe-ai/vanoe-intelligence-mcp declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.