# Alternativeassetliteracy Aal Advisor MCP server

Source: https://glimind.com/server/mcp-registry%2Fcom.alternativeassetliteracy%2Faal-advisor-mcp
Registry id: `mcp-registry/com.alternativeassetliteracy/aal-advisor-mcp`
Status: live (checked 2026-10-27T02:52:42.351Z)

## Verdict

Alternativeassetliteracy Aal Advisor MCP server answered 100% of Glimind's liveness checks over 30 days, better than 42% of MCP servers, with 564 ms median handshake and 0 outages in 90 days. Its agent-readiness grade is A (90/100) across 32 tools, costing an agent about 6,426 tokens to load. Checked every few minutes; no tool is ever called.

## Measurements (30 days)

| Metric | Value | Better than |
|---|---|---|
| Uptime, 30 days | 100% | 42% of MCP servers |
| Median handshake latency | 564 ms | 44% of MCP servers |
| p95 handshake latency | 2706 ms | — |
| Checks in 30 days | 4,968 | — |
| Outages, 90 days | 0 | — |
| Median recovery | — | — |
| Agent-readiness score | 90/100 (A) | 69% of MCP servers |
| Tools | 32 | — |
| Tool-list size for an agent | ~6,426 tokens | 35% of MCP servers |
| Days observed | 29 | — |

## Install

```json
{
  "mcpServers": {
    "alternativeassetliteracy-aal-advisor-mcp": {
      "type": "http",
      "url": "https://alternativeassetliteracy.com/mcp"
    }
  }
}
```

Claude Code:

```sh
claude mcp add --transport http alternativeassetliteracy-aal-advisor-mcp https://alternativeassetliteracy.com/mcp
```

## Tools (32)

- `advisor.commitment_pacing_model`: 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 
- `advisor.competency_check`: Returns the app's 'Questions for Your Financial Advisor' question sets — 53 questions across 7 categories (DeFi/crypto, ESG/climate, alternative investing, art,
- `advisor.compliance_scan`: Complements Anthropic's general AI-policy compliance skill with a narrower check scoped specifically to alternative-asset client communications, using the same 
- `advisor.daily_prep`: 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 brie
- `advisor.explain_holding`: 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 holdi
- `advisor.gift_bundle`: 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 cl
- `advisor.meeting_icebreaker`: 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 — f
- `advisor.post_meeting_followup`: Complements meeting-intelligence tools (e.g. Zocks, Wealthbox) that capture WHAT was discussed but don't generate client-facing educational content. Given a des
- `advisor.registration_check`: Live lookup against the public SEC Investment Adviser Public Disclosure (IAPD) and FINRA BrokerCheck registries — no seat required. Useful for centers-of-influe
- `advisor.retirement_monte_carlo_estimator`: A real Monte Carlo simulation — thousands of trials, not one deterministic projection — estimating the odds a client's savings and contributions support their s
- `advisor.risk_conversation_guide`: Maps a client's stated risk tolerance against the general risk characteristics of each alternative asset category (DeFi, private equity/VC, art & collectibles, 
- `art.deep_dive_track`: The financial and legal mechanics of the art market — advisor conflicts of interest, provenance/authentication risk, primary-vs-secondary market signals, curren
- `art.learning_track`: Returns the app's standalone Art Learning Track — 3 tracks, 9 lessons total: Art Concepts & Practices (value, market fundamentals, evaluation), Female Artists: 
- `art.library`: Searches the app's curated art library — books, podcasts, and academic papers on art history, markets, and investing — sourced live from the same Notion databas
- `behavioral.brain_map`: Returns the neuroscience of investment decision-making — the prefrontal cortex, amygdala, nucleus accumbens, and anterior insula — each with its investing relev
- `behavioral.deep_dive_track`: The decision-making layer underneath every asset class — advisor self-awareness (not just client bias), structural tools that manage client behavior better than
- `defi.deep_dive_track`: A rigorous look at decentralized finance as an asset class — protocol-level revenue mechanics (Aave, Uniswap), real failure modes (Terra/Luna, smart contract ex
- `disclosures.get`: Returns two distinct kinds of disclosure, plus the accredited investor definition and risk disclosure. 'regulatory' is for the advisor's own reading/records — w
- `esg.deep_dive_track`: ESG investing evaluated on the Triple Bottom Line it's actually built on (People, Planet, Profit — Elkington, 1994), not financial return alone — why ratings di
- `facts.random`: Returns a short, sourced statistic about women & finance, behavioral economics, alternative investing, or the art market — e.g. for a daily fact, loading screen
- `gdr.deep_dive_track`: A recently proposed (2026), NOT institutionally adopted alternative to GDP — measuring an economy by what it regenerates (ecological, social, and capital dimens
- `gender_lens.advisor_practice_track`: The advice gap and gender-lens investing gap treated as practice risks an advisor actively manages — auditing your own recommendation patterns, couples/continui
- `glossary.browse`: Browse all 351 glossary terms by category. Categories: Alternative Assets, Art, DeFi & Crypto, ESG & Climate, Behavioral Economics, Gender Lens Investing. Omit 
- `glossary.lookup`: Look up a financial term from the 351-term glossary spanning alternative assets, DeFi, ESG, behavioral economics, art, and gender lens investing.
- `glossary.search`: Full-text search across all 351 financial terms and definitions — alternative assets, DeFi, behavioral economics, art, ESG, and gender lens investing.
- `modules.get_content`: Returns the actual educational content (sections, citations, quiz preview) for one of the app's 9 live learning modules — Investing Primer, Alternative Investin
- `pe_secondaries.deep_dive_track`: 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 engage
- `reading.list`: Returns the app's curated reading list spanning behavioral economics, venture capital, economic history, and policy — each with author, year, summary, and an Ap
- `research.papers`: Returns institutional research papers by category — 43 papers from IMF, BIS, World Bank, FSB, UN, Federal Reserve, EU, IFC, OECD, and TCFD. The 'further researc
- `rwa.deep_dive_track`: How to talk about tokenized Treasuries, money-market funds, and other on-chain-wrapped assets with a client without conflating them with speculative crypto — th
- `toolkit.frameworks`: Returns asset-class-spanning advisor frameworks — due diligence checklists, red flags, risk assessment, position sizing, tax considerations, essential legal doc
- `vc_pe.deep_dive_track`: 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-cer

Measured by Glimind (https://glimind.com): MCP handshake + tool list only, no tool is ever called. CC BY 4.0.