Polymarket and Predict.fun historical tick data, plus backtest quotes and status, over MCP
Alternative Asset Literacy — Advisor is installed from its publisher's own source and answers where it runs, so this marketplace is not in the path of a single call. There is no address here to send one to, and a panel that pretended otherwise would be showing you an answer we made up. Install it and call it from your own client — the Installation tab has the entry for each one.
What it does
Client-education toolkit for advisors: deep-dive tracks, calculators, free onboarding tools.
Quickstart
# 1 — add it to Claude Code
claude mcp add --scope user --transport http alternative-asset-literacy-advisor-mcp https://alternativeassetliteracy.com/mcp
# 2 — ask your agent for something these tools do
# glossary.lookup, glossary.search, glossary.browse and 29 more
Alternative Asset Literacy — Advisor costs nothing on mcprush: there is no plan to choose here, no cap to set and nothing mcprush can bill you for.
Collected from a public index. Nobody has claimed this account, so nothing here was written by its author — claim it if it is yours.
Where are you running it?
Every route below installs the same thing and ends at the same approval screen. Nothing here runs on your machine and nothing runs on ours: this server answers at its publisher’s own address, and what you install is the connection straight to it.
This is a public server: it answers at its publisher’s own address and this marketplace is not in the path. Claude Code registers it in one command; --scope user makes it available in every project. The transport below is http, as the publisher's own manifest declares it.
claude mcp add --scope user --transport http alternative-asset-literacy-advisor-mcp https://alternativeassetliteracy.com/mcpReconnect, or start a new session, and the tools appear in the model’s tool list.
One config entry pointing straight at the publisher’s own address — this marketplace is not in the path, and nothing from this listing executes on your machine.
32 tools, with what each one reads, writes and reaches shown before you agree — the same list on every route above. Read the tool surface.
Tool surface
What the model actually sees. Descriptions are diffed on every release — see version history.
Look up a financial term from the 351-term glossary spanning alternative assets, DeFi, ESG, behavioral economics, art, and gender lens investing.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| term | string | yes | The financial term to look up (e.g. 'carried interest', 'impermanent loss', 'TCFD', 'green bonds') |
Full-text search across all 351 financial terms and definitions — alternative assets, DeFi, behavioral economics, art, ESG, and gender lens investing.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| query | string | yes | Keyword or phrase to search across term names and definitions (e.g. 'carbon credit', 'liquidity pool', 'loss aversion') |
| limit | number | no | Max results to return (default 10, max 50) |
Browse all 351 glossary terms by category. Categories: Alternative Assets, Art, DeFi & Crypto, ESG & Climate, Behavioral Economics, Gender Lens Investing. Omit category to browse all terms.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| category | string | no | Category to browse — e.g. 'Art', 'DeFi & Crypto', 'ESG & Climate', 'Behavioral Economics', 'Alternative Assets', 'Gender Lens Investing'. Omit for all categories. |
| limit | number | no | Max terms to return (default 25, max 100) |
Returns institutional research papers by category — 43 papers from IMF, BIS, World Bank, FSB, UN, Federal Reserve, EU, IFC, OECD, and TCFD. The 'further research' destination other tools point to instead of an external product.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| category | string | no | Category: CBDC, Stablecoin, ESG, Behavioral Economics, Gender Lens, Fintech, Cross-Border Payments. Omit for all categories. |
Batch version of client meeting prep: given a list of the day's meetings (client description + optional topic + optional time each), returns a compact prep briefing for every meeting in one call — matched topic, 2 key terms, one sourced opener fact, and a risk-alignment snapshot if a risk tolerance was mentioned. No calendar access — the advisor supplies the meeting list directly.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| meetings | array | yes | The day's meetings |
For financial advisors: given a description of a client, returns a curated education bundle the advisor can share — a 3-module learning path, 3 key terms the client should know before their next meeting, a copy-paste suggested message to send the client, and toolkit highlights. Designed for the advisor → client gifting workflow. Works for HNW women, DeFi-curious clients, ESG-focused clients, art c
| Parameter | Type | Required | Notes |
|---|---|---|---|
| client_description | string | yes | Description of the client — their background, wealth level, interests, upcoming meeting context, or knowledge gaps (e.g. 'HNW woman who just sold her biotech company, meeting with UBS next month', 'De |
| topic | string | no | Optional topic focus — overrides profile matching if provided (e.g. 'DeFi', 'ESG', 'art investing', 'alternative assets') |
Returns the actual educational content (sections, citations, quiz preview) for one of the app's 9 live learning modules — Investing Primer, Alternative Investing, Behavioral Economics, Gender and Behavioral Investing, DeFi, Art as Investment, Climate/ESG & Real World Assets, DeFi Investing, and the Kahlo x Basquiat bonus module. Mirrors the app's own free-tier preview exactly: the Investing Primer
| Parameter | Type | Required | Notes |
|---|---|---|---|
| module_id | string | yes | Module id or title (e.g. 'mod_art', 'Art as Investment', 'mod_defi_investing', 'DeFi Investing') |
Returns a short, sourced statistic about women & finance, behavioral economics, alternative investing, or the art market — e.g. for a daily fact, loading screen, or conversation starter. Each fact is attributed to its original source (McKinsey, Bloomberg, Preqin, academic research, etc.). Educational teaser content, not the priced AAL intelligence data.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| category | string | no | Optional category filter. Omit for any category. |
The free flagship onboarding tool: a ready-to-use meeting opener combining one sourced statistic with one related glossary term and a suggested opening line — for an advisor to use in the first 60 seconds of a client call. Draws only from unconditionally free content (the fact bank and the full 351-term glossary), so there is never a 'subscribe to unlock' seam in the output — it's a complete, fini
| Parameter | Type | Required | Notes |
|---|---|---|---|
| topic | string | no | Optional topic to bias the opener toward. Omit for a surprise pick. |
Maps a client's stated risk tolerance against the general risk characteristics of each alternative asset category (DeFi, private equity/VC, art & collectibles, ESG/climate, alternative investing/real estate) — for use alongside, never in place of, the advisor's own suitability review. Every category is always returned, each flagged with whether its general risk level aligns with what the client st
| Parameter | Type | Required | Notes |
|---|---|---|---|
| client_risk_tolerance | string | yes | The client's stated risk tolerance, in their own words or yours (e.g. 'conservative', 'moderate', 'aggressive, comfortable with volatility', 'capital preservation focused') |
Returns asset-class-spanning advisor frameworks — due diligence checklists, red flags, risk assessment, position sizing, tax considerations, essential legal documents, advisor-team building, total-cost breakdowns, and market research databases. Optionally filter by category ('Research', 'Due Diligence', 'Professionals', 'Risk Management', 'Tax & Legal') or by asset class (e.g. 'Art', 'DeFi', 'Priv
| Parameter | Type | Required | Notes |
|---|---|---|---|
| category | string | no | Optional category or asset-class filter. Omit for all 12 frameworks. |
Returns the neuroscience of investment decision-making — the prefrontal cortex, amygdala, nucleus accumbens, and anterior insula — each with its investing relevance, how it gets 'hijacked' into bad decisions, and concrete navigation strategies. Useful for explaining WHY a bias happens, not just naming it.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| region | string | no | Optional region name/id filter (e.g. 'amygdala', 'prefrontal'). Omit for all 4. |
Returns the app's standalone Art Learning Track — 3 tracks, 9 lessons total: Art Concepts & Practices (value, market fundamentals, evaluation), Female Artists: An Overlooked Asset Class (the historical valuation gap and market opportunity), and The Art Investor's Toolkit (research resources, due diligence, working with professionals). Distinct from the main Art as Investment module.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| track | string | no | Optional track id/title filter (e.g. 'female-artists-track'). Omit for all 3 tracks. |
Searches the app's curated art library — books, podcasts, and academic papers on art history, markets, and investing — sourced live from the same Notion databases the app itself reads. Filter by category ('books', 'podcasts', 'papers') and/or a free-text query against title, author, and summary.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| query | string | no | Optional free-text search across title/author/summary |
| category | string | no | Optional category filter. Omit for all. |
Returns the app's curated reading list spanning behavioral economics, venture capital, economic history, and policy — each with author, year, summary, and an Apple Books link.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| category | string | no | Optional category filter. |
Returns the app's 'Questions for Your Financial Advisor' question sets — 53 questions across 7 categories (DeFi/crypto, ESG/climate, alternative investing, art, behavioral finance, gender-lens investing, and general fiduciary/planning basics). Each question includes signs of an inadequate answer, signs of a competent answer, and why it matters — written from the client's side, but directly usable
| Parameter | Type | Required | Notes |
|---|---|---|---|
| topic | string | no | Optional topic filter: 'defi', 'esg', 'alt', 'art', 'behavioral', 'gender', or 'general' — or a free-text match against the set/category titles. Omit for all 7 sets. |
Returns two distinct kinds of disclosure, plus the accredited investor definition and risk disclosure. 'regulatory' is for the advisor's own reading/records — what this plugin's content legally is/isn't. 'client_facing' is separate, deliberately un-branded boilerplate meant to be appended to any message the advisor actually sends a client (gift_bundle's suggested_advisor_message, post_meeting_foll
No parameter schema on file.
Complements data connectors that surface a client's actual holdings (e.g. iCapital's NAV/commitments, Addepar's portfolio data) but never explain what the holding IS. Given an asset type or structure label, returns a plain-language definition, the specific cognitive bias most likely to distort how a client perceives this asset class (from the investing brain map), a matching due-diligence framewor
| Parameter | Type | Required | Notes |
|---|---|---|---|
| holding_type | string | yes | The asset type or structure, e.g. 'private equity fund', 'DeFi position', 'hedge fund', 'art fund', 'ESG fund' |
| client_risk_tolerance | string | no | Optional, for context only — this tool does not make a suitability determination |
Complements meeting-intelligence tools (e.g. Zocks, Wealthbox) that capture WHAT was discussed but don't generate client-facing educational content. Given a description of the topics discussed, returns three things: a private coaching note for the advisor (which cognitive bias the client's language suggests, and how to navigate it — never sent to the client), a separate ready-to-send client follow
| Parameter | Type | Required | Notes |
|---|---|---|---|
| topics_discussed | string | yes | Free-text description of what came up in the meeting, in the advisor's own words |
| client_description | string | no | Optional client context |
Complements Anthropic's general AI-policy compliance skill with a narrower check scoped specifically to alternative-asset client communications, using the same suitability-neutral and anti-anecdotal rules this plugin enforces on its own output: anecdotal/FOMO framing, suitability-assertion language, and missing accredited-investor/risk disclosure when the draft discusses PE, VC, hedge funds, DeFi,
| Parameter | Type | Required | Notes |
|---|---|---|---|
| draft_text | string | yes | The advisor's draft client communication to check |
A real computation, not templated text: models what a multi-year program of private-fund commitments (PE, VC, private credit, etc.) actually does to a client's cash flow over its life — capital calls, distributions, unrealized NAV, and the single worst year for net cash flow — using a simplified, transparent adaptation of the Takahashi-Alexander pacing framework. Every rate (contribution pace, dis
| Parameter | Type | Required | Notes |
|---|---|---|---|
| annual_commitment | number | yes | Dollar amount committed to new private-fund vintages each year |
| vintage_years | number | no | How many consecutive years the client keeps making new commitments (default 5) |
| fund_life_years | number | no | Assumed life of each fund vintage in years (default 12) |
| investment_period_years | number | no | Years each vintage actively calls capital before calls stop (default 5) |
| rate_of_contribution | number | no | Fraction of a vintage's uncalled capital called per year during its investment period (default 0.30) |
| rate_of_distribution | number | no | Base annual distribution rate applied to NAV, back-loaded via a bow curve (default 0.20) |
| annual_liquidity_budget | number | no | Optional — the client's actual annual liquidity budget for capital calls, to flag years it would be breached |
| scenario | string | no | A single market-assumptions.js scenario id (historical_baseline, regime_transition, ai_productivity_acceleration, structural_stagnation) to run one scenario only — omit to run the default set and see |
A real Monte Carlo simulation — thousands of trials, not one deterministic projection — estimating the odds a client's savings and contributions support their stated retirement income target. Deliberately does NOT assume a fixed withdrawal rule like the '4% rule,' since that figure is itself an output of one specific historical regime, not a law; the client (or you, on their behalf) states the tar
| Parameter | Type | Required | Notes |
|---|---|---|---|
| current_age | number | yes | The client's current age in years |
| retirement_age | number | yes | The age the client plans to retire and begin withdrawals |
| life_expectancy | number | no | Planning horizon age (default 90) |
| current_savings | number | yes | Current portfolio balance in today's (real) dollars |
| annual_contribution | number | yes | Amount contributed per year, in today's (real) dollars, during the years between current_age and retirement_age |
| desired_annual_retirement_income | number | yes | The client's own target annual retirement income in today's (real) dollars — required; this tool will not assume a withdrawal rate |
| equity_weight | number | no | Fraction of the portfolio in equity-like assets, 0-1 (default 0.6) |
| scenario | string | no | A single scenario id to run one scenario only — omit to run the default set and see the range |
Live lookup against the public SEC Investment Adviser Public Disclosure (IAPD) and FINRA BrokerCheck registries — no seat required. Useful for centers-of-influence due diligence — a referral partner, a co-sourcing firm, a peer practice — not just for clients. Returns registration scope (active/inactive, broker-dealer and/or investment-adviser) and whether the public record has any disclosure event
| Parameter | Type | Required | Notes |
|---|---|---|---|
| query | string | yes | The advisor or firm name to search for |
| search_type | string | yes | Whether to search for a person or a firm |
A rigorous look at decentralized finance as an asset class — protocol-level revenue mechanics (Aave, Uniswap), real failure modes (Terra/Luna, smart contract exploits), sizing/custody/tax discipline, and an honest account of how thin the peer-reviewed DeFi literature still is relative to industry commentary.
No parameter schema on file.
ESG investing evaluated on the Triple Bottom Line it's actually built on (People, Planet, Profit — Elkington, 1994), not financial return alone — why ratings diverge across providers, real fee/cost/performance data (including a genuinely improving financial-return trend since 2019), systematic greenwashing detection, and a balanced, two-sided account of what the peer-reviewed literature does and d
No parameter schema on file.
The financial and legal mechanics of the art market — advisor conflicts of interest, provenance/authentication risk, primary-vs-secondary market signals, current market data (2023-2025 Artprice100 index performance), and older academic return studies (Mei & Moses; Renneboog & Spaenjers) presented as historical context, not current conditions — the two studies also reach genuinely different conclus
No parameter schema on file.
The decision-making layer underneath every asset class — advisor self-awareness (not just client bias), structural tools that manage client behavior better than reassurance, framing effects, mental accounting, and the peer-reviewed foundations (Kahneman & Tversky, De Bondt & Thaler) that are still producing new findings. Distinct from behavioral.brain_map (neuroscience of 4 brain regions).
No parameter schema on file.
The advice gap and gender-lens investing gap treated as practice risks an advisor actively manages — auditing your own recommendation patterns, couples/continuity dynamics most practices haven't built a process for, facilitating a client's gender-lens request with real screening and due diligence, and peer-reviewed research for having the conversation credibly. Distinct from advisor.competency_che
No parameter schema on file.
A recently proposed (2026), NOT institutionally adopted alternative to GDP — measuring an economy by what it regenerates (ecological, social, and capital dimensions, treated as interdependent) rather than what it produces. Explicitly caveated throughout as an unvalidated, single-thought-leader framework, grounded against decades of real, verified 'beyond GDP' precedent (Bhutan's Gross National Hap
No parameter schema on file.
Why VC and PE exist as their own asset classes, what verifying a client's accredited investor status actually requires of the advisor of record (506(b) self-certification vs. 506(c) mandatory verification), and how to recognize and navigate the family-office conversation — including the SEC's 2011 Family Office Rule and real 2026 SFO/MFO cost and AUM-threshold data. Written from the advisor's own
No parameter schema on file.
How to evaluate a client's roll-or-cash-out decision in a GP-led continuation fund — the specific governance questions (fairness opinion provenance, LPAC engagement) that separate a well-run transaction from a rubber stamp, the fee-clock incentive and behavioral-framing dynamics pulling on both the client and the GP, and how to frame the triple-bottom-line and gender-lens angles honestly, as hypot
No parameter schema on file.
How to talk about tokenized Treasuries, money-market funds, and other on-chain-wrapped assets with a client without conflating them with speculative crypto — the due-diligence questions that actually matter (structural model, redemption cap, custodian concentration), suitability framing centered on the liquidity mismatch rather than the technology, and where SEC regulatory guidance actually stands
No parameter schema on file.
- Every tool — any call limit is its publisher’s, not ours
- No card, and mcprush charges nothing for it
- Runs at its publisher’s own address — this marketplace is not in the path
- Nothing to cap, because mcprush bills nothing
What counts against your monthly calls
| Tool | Unit | Calls used | Out of the allowance |
|---|
Nothing here is billable: mcprush charges nothing to install Alternative Asset Literacy — Advisor or to call it, at any volume.
Two independent axes, because powerful and malicious are different questions. The grade is threat only. The capability level is blast radius, and it is never a penalty on the grade — it is priced as one subtract-only term in the score, where you can see it.
This listing is an address its publisher runs, and you connect to it directly — this marketplace is not in the path. The scanner reads packages and public source, and an address is neither: the repository linked on this page is where this record was collected from, not a copy of what the address serves, so it is not graded in its place. So there is no grade — not a withheld one, an unmeasured one.
Release history
This is an address its publisher runs: which release it serves is theirs to choose, so there is nothing here to pin. The history below is for reading; the current release on file is 1.0.1.
No release note was published with this version.
One review per account, from a signed-in account that does not publish this listing. Nothing else is asked — you can say what you think before you install it. Publishers can reply once per review, and a review can be edited or deleted by whoever wrote it.
Any signed-in account that does not publish Alternative Asset Literacy — Advisor can review it, once — before installing it or after. A review from an account that has installed it is marked as one.
Nobody has reviewed this listing. The rating on the card is the mean of the reviews written here and nothing else, so there is no rating until somebody writes the first — which takes a signed-in account that does not publish it, and nothing else.