Bitcoincreditstack MCP Server

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, with the coverage block stating how many venues contributed and naming the ones that did not. No venue is weighted up, floated or reported under its own heading. ⚠ Read coverage before reading the figures. A venue absent from this reading is a declared gap, not a zero, and the rows it would have contributed are counted separately as unavailable.

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 and it does not characterise a trend. ⚠ Coverage is not constant through the series. A move in a figure may be a move in the market or a venue entering or leaving observation — the per-point coverage is what distinguishes them.

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 of venues or instrument types and no judgement about which composition is preferable. ⚠ The scope block names the contributing venues and states why the others are absent — Aave v3 is mid-backfill, Compound v3 and Sky are not yet ingested. Read it before quoting any share. A percentage from this tool describes one venue family, not Bitcoin-collateralised credit.

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 produced them. Not a forecast, not a momentum signal, and not a characterisation of demand. ⚠ Creation and retirement are GROSS and are never netted into one signed series: a day of heavy churn and a quiet day can net to the same number and are not the same market. USD-denominated debt only.

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".

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 first to discover valid ids. Optionally returns the historical series instead of the current value (set include_history). History is free and unmetered on the same terms as the current value. This is descriptive data; no recommendation is provided. An indicator that has no reading on this network says so explicitly rather than returning a null or a zero that could be mistaken for a value.

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 chain metrics such as MVRV and SOPR), and 'market' (external context — DeFi rates, stablecoin supply, macro). Use this to discover what is available, then call get_indicator with an id. This tool returns a catalogue; it does not rank indicators or advise which to use. Indicators anchored on a single venue's own rate are not served here; they are listed as withheld, with the server that serves them.

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 the lenses. Call with one to get its full procedure: what to lead with, the tools in its scope, and — the part that matters most — what that lens explicitly does not do. Reading a lens before presenting anything from this dataset is the intended use. It is guidance for presentation, not data about the market, and it adds no figures of its own.

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 values coins above or below what was last paid for them — and nothing about what follows from that. This tool returns data; it does not advise, forecast, or characterise the market. Computed nightly from Aletheia's own full node and UTXO set. 'mvrv_z_score' is returned alongside it: the same numerator measured in standard deviations of the historical market-cap series. Returns: { value, mvrv_z_score, as_of, inputs: { market_cap_usd, realised_cap_usd, realised_price_usd, spot_price_usd }, methodology, disclaimer }.

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 every tool definition.

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 in this payload. There is no composite score, no stars and no reliability index: a reader weighs the criteria, and this server does not weigh them for the reader. ⚠ 'unknown' is a value, not an omission — a criterion that cannot be established from public sources says so with its reason. A class-specific 'not_applicable' and an unresearched 'unknown' are different answers and are never conflated.

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 across four classes — on-chain protocols, CeFi desks, the corporate layer, and auction venues — each carrying its coverage state per pillar and how many of its criteria cells have been researched. Does not rank, score or order by any rate: rows are returned in the registry's own order. All filters are optional and unspecified means no constraint. ⚠ A venue's presence is not a statement about it. Coverage 'none' means nothing is ingested yet, which is a declared gap, not an observation about the venue.

What can be checked about the contracts, and what did the last check return? Observations with their block heights; the verdict is the reader's. Contract addresses and their implementations, the bytecode hash of each, the upgradeability position, the privileged-function map with whether each can touch user funds, the audit reference, and five structural promises — each with the check that would falsify it and what that check returned. ⚠ Read the fields, not the impression. 'match' is "unchecked" where Aletheia has not compared deployed bytecode against verified source; a promise that did not settle says so; and mainnet and testnet return different answers because they run different builds. There is no safety score, rating or verified badge in this payload, and none will be added.