com.bitcoincreditstack/mcp · v0.1.0 · crypto-web3
com.bitcoincreditstack/mcp is healthy: it completed an MCP handshake in 3226 ms and exposes 24 tools. It scores 60/100.
The Bitcoin credit markets, measured. Cross-venue rates, venue criteria, chain indicators.
Endpoint: https://mcp.bitcoincreditstack.com/mcp (streamable-http)
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| health | 17 / 25 |
| authEase | 15 / 15 |
| toolQuality | 15 / 15 |
| maintenance | 5 / 15 |
| adoption | 0 / 10 |
| usage | 0 / 10 |
| security | 8 / 10 |
Scoring v0.3, computed 2026-10-14T20:26:03.264Z.
| Checked (UTC) | Status | Latency | Error |
|---|---|---|---|
| 2026-10-14T18:20:36.237Z | Healthy | 3226 |
list_onchain_indicators | Returns the catalog of available on-chain indicator tools, including tool name, indicator name, brief description, units, an example invocation, and current readiness status ('live' or 'pending'). Use this when you need to discover which tools are available for on-chain analysis without inspecting e |
get_mvrv | Returns the current Bitcoin MVRV ratio: market capitalisation divided by realised capitalisation, where realised cap values each coin at the price it last moved. MVRV is therefore an identity on observed chain data. It states the aggregate unrealised position of the supply — how far the market valu |
list_chain_series | Lists every series served from Aletheia's vintage store: the chain series built from one pass over every Bitcoin block on Aletheia's own node (chain.cohort.*: supply, supply by age band, long- and short-term holder supply, BTC moved, coin-days destroyed, dormancy, realised cap and price, MVRV, SOPR, |
get_chain_series | Returns one series from Aletheia's vintage store, by id (see list_chain_series): every value with its date and kind, the series' unit, source and limitation, and the vintages the values came from. With as_known_on, returns the series exactly as the store held it at the end of that day (UTC), so a pa |
get_cost_basis | Returns Bitcoin's supply alive at the end of one UTC day, grouped by the BTC price on the day each coin was created, in logarithmic price buckets of a chosen width (ratio, default 1.02: each bucket spans 2%). Built from Aletheia's own node, block by block; day-granular. Creation prices are Aletheia |
list_series | Lists the series the Stack serves, across every dataset: the credit tree at every level (market, class, family, venue) and figure, for bitcoin and, separately, for ether collateral; the liquidation map's bands; the credit x on-chain measures and their sub-series; the governed indices; wrapper reserv |
get_series | Returns 1 to 13 series (ids from list_series), each on its own dates, from Aletheia's vintage store: every value with its date and kind (an absence is a kind with its reason, never a zero), the unit, source, limitation and the vintages the values came from. Default window: the last 365 days to `to`; |
get_chart | Draws the series get_series would return for the same request (ids from list_series, the same window and as_known_on) as an SVG image in the Stack's house style: exactly the chart plan's panels, one unit each; rate axes from zero; a refused series not drawn; an absence a gap, never a zero; coverage |
get_corporate_instruments | Lists the instruments of the corporate issuers in the registry (convertible notes, credit facilities, bonds, perpetual preferreds), one row per instrument, as the site's /instruments pages show them: terms, seniority, the yield a holder receives where a last regular-session trade prices it, returns, |
get_desk_rates | Returns the rate cards the custodial lending desks post (bitcoin collateral), one row per product: the representative APR and its range, term, maximum LTV, custody and liquidation model, and the card's effective date and source. Administered rates, not market-cleared; a card older than the stated st |
get_debt_by_collateral | What backs the dollar debt against bitcoin, by collateral and by venue type (pools, isolated markets, vaults, the auction, corporate, posted cards), as the site's "How these loans are backed" panel shows it, with each observer named and the collateral rule stated. days (30 to 1500, default 30) sets |
list_indicators | Returns the catalogue of Aletheia indicators measured across the Bitcoin-collateralised credit markets and the Bitcoin chain: id, name, family, units, description, and whether the indicator is currently live on this network. Three families: 'credit' (credit-market assessments), 'onchain' (commodity |
get_indicator | Returns the current value of a single Aletheia indicator by id, with its methodology reference. This server serves the venue-independent indicator set; an indicator anchored on a single venue's own rate is served by that venue's own MCP and answers here with a pointer to it. Call list_indicators fir |
get_verification_bundle | Covers one venue's contracts only: the registry's auction venue (venue_id 'gavel_arbitrum'), the one venue whose deployed contracts this dataset checks itself. It is served here as a source for that venue's quality criteria; no other venue has a bundle yet. What can be checked about the contracts, |
list_venues | Which credit venues does this dataset cover, and what is known about each? Returns the registry rows matching the filters you supply. One row per venue, each with its coverage state per pillar and how many of its criteria cells have been researched. Two vocabularies, never mixed: a venue TYPE says |
get_venue | What is known about this venue, criterion by criterion? The three pillars — Price, Quality, Composition — each cell with its value and the source it came from. The criteria are published and versioned before any venue is measured against them, applied evenly to every row, and the spec version rides |
compare_venues | What does credit at this tenor and LTV cost across every venue Aletheia covers? One row per venue in coverage-matrix order — no ranking, no default sort, no "best". Standard questions this tool answers (get_guide with question): SQ-C2. |
get_lens | Returns a READING LENS: a presentation procedure for this dataset, written for a particular kind of reader. A lens selects which tools to use and frames how their output is presented; it never concludes, never ranks, and carries no write tool — this server has none. Call with no argument to list th |
get_guide | What does this server cover, and how much of it? The tools; the venues by registry scope, venue type, status and credit class; the credit-state reading's coverage; the indicators served, retired and not published here; the series; and the lenses — every count read from the data when asked, each with |
get_credit_state | What does Bitcoin-collateralised credit cost and how much of it is outstanding, across the venues this dataset covers? One reading aggregated over the venue universe, not any single venue's book. Carries the term structure, outstanding quantity, valuation, collateral mix and quality composition, wi |
get_credit_state_history | How has the Bitcoin credit surface moved? The same cross-venue reading as get_credit_state, as a daily series. Each point carries the coverage that produced it, so a change in the series and a change in which venues were observable can be told apart. This is descriptive data; it does not forecast a |
get_market_composition | What kinds of credit make up this market, and in what proportions? ⚠ These series are computed from MORPHO BLUE ONLY, on Ethereum and Base. They are not market-wide. Composition by rate type, recourse and instrument, reported as observed shares with the scope that produced them. There is no ranking |
get_market_flows | How much credit was created and retired, and over what period? Latest, trailing 30 days, and since inception. ⚠ These series are computed from MORPHO BLUE ONLY, on Ethereum and Base. They are not market-wide. Counts and amounts as observed, with the scope, coverage and validation state that produce |
get_liquidation_map | How much bitcoin-secured dollar debt is liquidated at which bitcoin price, for the market, a class or a venue? An identity on observed positions: each bitcoin-only position at the price its OWN venue's rule liquidates it, summed into $1,000 buckets, with the debt within 10/20/30% of each venue's own |