io.github.vlearner/mcp-etf-holdings
PYPI · MCP-ETF-HOLDINGS
Find which ETFs hold any stock, compare funds, and pull holdings. Live Yahoo Finance data.
Available components
Last scanned (1 day ago)
Scores higher than 99% 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 Security100
- No malware found by supply-chain analysis.Pass
- 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
- 0 of 47 dependencies flagged as unhealthy. View diagnostics → Pass
Provenance & Transparency100
- Source repository is publicly reachable at the declared URL. View diagnostics → Pass
- Cryptographically verified build provenance (signed, bound to vlearner/mcp-etf-holdings). View diagnostics → Pass
- Clear OSI-approved license (MIT).Pass
- Actively maintained (last published 8 days ago).Pass
- Publishes a security disclosure policy (SECURITY.md).Pass
Schema Quality & AI Usability85
- 100% of prompts and resources have a non-trivial description (not blank, and not just the item's name).Pass
- AI-judged instruction clarity (excellent).Pass
- Context-footprint check failed: tool/resource definitions use about 954 tokens (~136/item across 7 items; 7 tools + 0 resources), over budget; trim descriptions and params. See how to fix → Fail
- 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 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
- 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 7 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 8 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
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: unverified → pass ▲ security
- 3 Nov 26 −15
- Malware scan: pass → unverified ▼ security
- 2 Nov 26 0
- Stability: 0.97 → pass security
- 1 Nov 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 93 to 97. That category is still filling its 30-day observation window: 28 days of observed history at the previous scan, 29 at this one. The score rises as the window fills, whether or not the server changes.
- 30 Oct 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 87 to 90. That category is still filling its 30-day observation window: 26 days of observed history at the previous scan, 27 at this one. The score rises as the window fills, whether or not the server changes.
- 27 Oct 26 +1
- Package version: 0.5.0 → 0.6.0 functional
- 25 Oct 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 70 to 73. That category is still filling its 30-day observation window: 21 days of observed history at the previous scan, 22 at this one. The score rises as the window fills, whether or not the server changes.
- 23 Oct 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 63 to 67. That category is still filling its 30-day observation window: 19 days of observed history at the previous scan, 20 at this one. The score rises as the window fills, whether or not the server changes.
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 4 Nov 2026 · Analysed pypi/mcp-etf-holdings@0.6.0
Provenance Verified
A signed build attestation was found and verified, binding this exact artifact to the source repository it claims to come from.
| Result | Verified |
|---|---|
| Ecosystem | pypi |
| Reason | Verified |
| Discovered via | Registry attestation endpoint |
| Source repo | vlearner/mcp-etf-holdings |
| Certificate issuer | https://token.actions.githubusercontent.com |
| Certificate SAN | https://github.com/vlearner/mcp-etf-holdings/.github/workflows/python-publish.yml@refs/heads/main |
| Rekor log index | 3500652522 |
| Predicate type | PyPI publish attestation https://docs.pypi.org/attestations/publish/v1 |
| Subject digest | sha256:14e35afc8c107ce2bf76fdd00b0cb3d2a44dfb99aaf578e2afbf8b66dc1d9882 |
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 47 packages
| Packages resolved | 47 |
|---|---|
| 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 →
compare_etfs ~116
Compare several ETFs side by side in a single table: name, category, AUM, expense ratio, dividend yield, and YTD / 3-yr / 5-yr returns. Use this whenever the user mentions more than one ETF — it is one call instead of several etf_info calls, and the result is already tabular.
| Name | Type | Req | Description |
|---|---|---|---|
| tickers | array | yes | ETF tickers to compare side by side, e.g. ['SPY', 'QQQ', 'VTI', 'SCHD'] |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
etf_holdings ~40
Return the top holdings of an ETF with their portfolio weight percentages.
| Name | Type | Req | Description |
|---|---|---|---|
| ticker | string | yes | ETF ticker symbol, e.g. 'SPY' |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
etf_info ~71
Return metadata for a single ETF: name, category, AUM, expense ratio, NAV, and trailing returns. For two or more ETFs, use compare_etfs instead — it returns one table.
| Name | Type | Req | Description |
|---|---|---|---|
| ticker | string | yes | ETF ticker symbol, e.g. 'SPY' or 'QQQ' |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
find_etfs_holding_stock ~168
Reverse-lookup: find ETFs (from a ~365-ETF universe or a custom list) that hold a given stock in their disclosed top holdings. Results are sorted by the stock's weight in each ETF, highest first. For a version that also reports each ETF's expense ratio and size, use stock_exposure_summary.
| Name | Type | Req | Description |
|---|---|---|---|
| custom_etf_universe | string | – | Optional JSON array of ETF tickers to search instead of the default universe. Example: '["SPY","QQQ","XLK"]' |
| limit | integer | – | Maximum number of ETFs to return (1-50, default 20) |
| stock_ticker | string | yes | Stock ticker or company name to search for, e.g. 'NVDA' or 'Nvidia' |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
lookup_symbol ~135
Resolve a company or fund name to its ticker symbol. Call this first whenever the user names a company instead of giving a ticker — "Which ETFs hold Nvidia?" needs NVDA. Covers stocks and ETFs; use asset_type='stock' to exclude funds from the results.
| Name | Type | Req | Description |
|---|---|---|---|
| asset_type | string | – | Filter results: 'any' (default), 'stock', or 'etf' |
| limit | integer | – | Maximum number of results (1-25, default 10) |
| query | string | yes | Company or fund name to resolve, e.g. 'Nvidia' or 'Vanguard total stock market' |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
search_etfs ~131
Search for ETFs by name, theme, or category using Yahoo Finance search. Returns matching ETF tickers with their full names and exchanges. Useful for discovering ETFs to pass to etf_info, compare_etfs, etf_holdings, or find_etfs_holding_stock. To resolve a stock or company name rather than find ETFs, use lookup_symbol.
| Name | Type | Req | Description |
|---|---|---|---|
| limit | integer | – | Maximum number of ETFs to return (1-25, default 10) |
| query | string | yes | Search term: fund name, theme, or category, e.g. 'semiconductor' or 'dividend' |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
stock_exposure_summary ~120
Find the ETFs that give exposure to a stock, with each fund's weight in that stock alongside its expense ratio and AUM. Answers "what is the cheapest / largest ETF for exposure to X?" — the weight column shows how much exposure you get, expense ratio what it costs.
| Name | Type | Req | Description |
|---|---|---|---|
| limit | integer | – | Maximum number of ETFs to return (1-25, default 10) |
| stock | string | yes | Stock ticker or company name to find ETF exposure for, e.g. 'NVDA' or 'Nvidia' |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
How do I install the io.github.vlearner/mcp-etf-holdings server?
io.github.vlearner/mcp-etf-holdings runs locally as a PyPI package, launched with uvx mcp-etf-holdings. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
pypi · mcp-etf-holdings
claude mcp add vlearner-mcp-etf-holdings -- uvx mcp-etf-holdings
What is the io.github.vlearner/mcp-etf-holdings server?
io.github.vlearner/mcp-etf-holdings is listed in the public MCP registry as io.github.vlearner/mcp-etf-holdings. Find which ETFs hold any stock, compare funds, and pull holdings. Live Yahoo Finance data. This page covers its PyPI package (mcp-etf-holdings).
Is the io.github.vlearner/mcp-etf-holdings server safe to use?
io.github.vlearner/mcp-etf-holdings scores 97 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 4 November 2026. Its build provenance is signed and verified. 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.vlearner/mcp-etf-holdings server expose?
io.github.vlearner/mcp-etf-holdings exposes 7 tools: etf_info, compare_etfs, etf_holdings, find_etfs_holding_stock, stock_exposure_summary, and 2 more. Their descriptions and schemas cost roughly 781 tokens of context every time the server is loaded.
Is the io.github.vlearner/mcp-etf-holdings server still maintained?
io.github.vlearner/mcp-etf-holdings is still listed as active in the MCP registry. We last reached this channel on 4 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.vlearner/mcp-etf-holdings server under?
io.github.vlearner/mcp-etf-holdings declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.