"Providing Mathematical and Scientific Calculation Functions for a Single-Modal LLM" matching MCP tools:

• bls_dataframe_queryA

  bls-labor-mcp-serverA

  Run a single-statement SELECT against the canvas dataframes registered by bls_get_series or by an earlier register_as. Read-only: writes, DDL, DROP, COPY, PRAGMA, ATTACH, and external-file table functions are rejected. System catalogs (information_schema, pg_catalog, sqlite_master, duckdb_*) are denied at the bridge layer — use bls_dataframe_describe to list available dataframes. Supports JOINs, aggregates, window functions, and CTEs. Optional register_as persists the result as a new dataframe with a fresh TTL for chained analysis. Canvas SQL operations consume zero BLS API quota. Requires CANVAS_PROVIDER_TYPE=duckdb.

  ConnectorNo auth

• patch_form_logicA

  FaldaroA

  Edit a form draft’s logic in place: `upsert` replaces each calculation whose `id` matches an existing one (and appends the rest as new), `remove` deletes calculations by id — every other calculation is preserved byte-for-byte. Prefer this over update_form_logic whenever the form already has logic: it sends only the diff and cannot drop calculations you did not mention. Calculation shape, effect operators and expression syntax are exactly update_form_logic’s (see its description), and upserted calculations are validated the same way before anything saves. Get current ids from get_form_logic; a calculation stored without an id can only be edited through update_form_logic. Requires form:write.

  Connector

  Destructive

  API key

• exponent_calcA

  calc.engineerA

  Compute the result of raising a base to an exponent (base^exponent). Handles positive and negative exponents, fractional exponents, and zero. Returns the numeric result and a scientific notation string for very large or very small results. Useful for compound interest calculations, exponential growth/decay models, physics power laws, and combinatorics. The inverse of log_calc; chain with scientific_notation for formatted display of extreme values.

  ConnectorNo auth

• lca_run_assessmentA

  AeviaA

  Run LCIA on a target and save the result as a durable assessment (`a<N>`). `ref` is a saved workspace system (`s<N>`), or an engine-catalog process (`p<N>`) or system (`e<N>`) from `engine_search`; it is calculated on the database it belongs to. Runs the calculation with the given parameters and returns the impact result; a run that finishes within 45 seconds returns its result directly, and a longer one returns a `task_id` for `lca_get_task_status`; the assessment is always saved into the workspace named by `workspace`, with no separate save step. A catalog `e<N>` is assessed as a one-off result and not imported as a tracked system (`lca_import_system` does that). `nw_set` names one of the method's normalization/weighting sets, applied after the calculation for a single score. `lca_analyze_contributions` breaks a result down. The `assessment_interpretation` skill (`load_skill`) documents what a result means and comparison discipline.

  ConnectorAPI key

• quote_partA

  ARCNMA

  Price a part that is already in ARCNM again: at another lot size, with another material or stock format, or in another costing environment. Use it when the part has a revision. Every calculation carries its part_revision_id (get_calculation). With derived_from_calculation_id it keeps that calculation's material and annual_volume unless you pass them. Pass several costing_environment_ids to price it in up to 16 environments at once. The runs share a batch_id. Billable: each part in each environment uses one calculation of the quota, only if it succeeds. An assembly uses one per different part. The calculation runs in the background. Returns the calculation id, its status and eta_seconds. Follow it with get_calculation. For a free what-if on a priced calculation, use preview_cost. For a new file, use upload_and_quote.

  Connector

  Destructive

  OAuth

• calc_engineA

  BitCLI — Crypto Futures & Order FlowA

  BEHAVIOR: Deterministic mathematical calculation. Evaluates crypto futures risk management models using live exchange parameters. PRICING: $0.001 USD per execution. Deducted from daily tariff quota or USD balance. SYNTAX EXAMPLES (Passed in 'command'): - '/pos btc 65k 63.7k 50' (Position Sizing) - '/liq sol 20x short' (True Liquidation with MMR) - '/dca btc 65k:100 64k:200' (DCA Break-Even with exit fees) - '/rr btc 65k 64k 67k 69k' (Multi-Target R:R) - '/fncost btc 10000 long' (Carry Cost) - '/atr btc 1h 2' (Volatility Stops) RETURNS: Output is a structured JSON payload. Depending on the command, keys include: 'ideal_lot_coins', 'notional_usd', 'required_margin', 'liquidation_price', 'true_breakeven_price', 'effective_rr_ratio', or 'stop_distance'. USAGE GUIDELINES: Use this tool exclusively for mathematical risk modeling and lot sizing. For live market scanning, use `market_data`. For setting execution triggers, use `alert_manager`. After calculating risk parameters, it is highly recommended to route the generated stop-loss or liquidation prices into `alert_manager` to automate monitoring. ERRORS: Malformed syntax returns an 'error' JSON key with correction guidance.

  ConnectorNo auth

• treasury_dataframe_queryA

  treasury-fiscaldata-mcp-serverA

  Run a single-statement SELECT against DataCanvas dataframes registered by treasury_query_dataset, treasury_get_debt, treasury_get_interest_rates, and treasury_get_exchange_rates. Read-only: writes, DDL, DROP, COPY, PRAGMA, ATTACH, and external-file table functions are rejected. System catalogs (information_schema, pg_catalog, sqlite_master, duckdb_*) are denied at the bridge layer. All Treasury dataframe columns are VARCHAR — CAST to DECIMAL or DATE for arithmetic and date comparisons. Use treasury_dataframe_describe to list available table names and column schemas before querying.

  ConnectorNo auth

• col.species.detailA

  apibaseB

  Retrieve full taxonomic details for a specific taxon in the Catalogue of Life by its COL usage ID. Returns scientific name with authorship, taxonomic rank, acceptance status, extinction flag, parent taxon ID, scrutinizer (the expert who verified the record), scrutinizer date, and an external link to the COL web page for the taxon. Unlike col.species.search, the detail record does not include full higher-classification breadcrumbs — use the parent_id to walk the tree or pass the scientific name to col.species.search with rank=KINGDOM/PHYLUM etc. to retrieve ancestors. Obtain the taxon_id from a prior col.species.search or col.species.suggest call.

  ConnectorNo auth

• get_workflow_schemaA

  ProteinIQB

  Read the authoritative graph/settings schemas and authoring instructions before creating a workflow. Obtain scientific settings from get_tool and exact ports from get_workflow_tool.

  ConnectorAPI key

• cancel_calculationA

  ARCNMA

  Stop a calculation that is queued or running. Use it as soon as a run is no longer wanted, for example one started with the wrong file, lot size or costing environment. Free: a cancelled calculation is never charged, because only a calculation that succeeds uses the quota. Cancelling an assembly also stops its component calculations. A cancelled run cannot be resumed. To price the part again, use quote_part. A calculation that has already finished is returned unchanged. Returns the calculation id, its status and its costing environment.

  Connector

  Destructive

  OAuth

• eia_dataframe_queryA

  eia-energy-mcp-serverA

  Run a single-statement SELECT against canvas dataframes registered by eia_query_route calls that passed stage: true — a query that staged nothing leaves no table to select from. Standard DuckDB SQL — joins, aggregates, window functions, CTEs all supported. Reference dataframes by the df_<id> handles returned by eia_query_route or listed by eia_dataframe_describe. Read-only: writes, DDL, DROP, COPY, PRAGMA, ATTACH, file reads (read_* functions or a quoted file path), engine-setting functions (current_setting), and SQL built from a string (query_table) are rejected. System catalogs (information_schema, pg_catalog, sqlite_master, duckdb_*) are denied. EIA data values are VARCHAR — use CAST(col AS DOUBLE) for arithmetic and aggregation. Optional register_as chains results as a new dataframe with a fresh expiry. Every dataframe named in the statement has its expiry extended by the query. Inline rows stop at preview; a result cut short says how to reach the rest, including paging a register_as table with LIMIT/OFFSET and no ORDER BY, which keeps the order the preview showed.

  ConnectorNo auth

• uniprot_get_taxonomyA

  uniprot-mcp-serverA

  Resolve a taxonomy record by NCBI taxon ID (e.g. 9606) or scientific name (e.g. "Homo sapiens") — provide exactly one. Returns the scientific and common name, mnemonic, rank, parent, and the full lineage. Set include_children to also fetch immediate child taxa (a separate lookup — not inline on the record) in pages of 100 with the total child count; when more remain, pass the returned cursor to fetch the next page. Use this to turn an organism name into the taxon ID that uniprot_search_proteins (organism_id) and uniprot_get_proteome (taxon_id) expect.

  ConnectorNo auth

• calculate_irrA

  valuation-apiA

  Calculate the Internal Rate of Return (IRR), MOIC and an IRR sensitivity table for a single lump-sum equity investment that returns one exit value after a whole-year hold period. WHEN TO USE: you have an upfront investment amount, a single exit value and a hold period in whole years (standard PE/VC single-exit scenario) and need the annualised return, the money multiple, or a return stress-test. The result also includes a plain-language interpretation benchmarked against VC/PE/public-market return hurdles. WHEN NOT TO USE: for cash-flow streams with multiple intermediate distributions (use calculate_npv or calculate_moic on the full cash-flow array), or when you only need the sensitivity grid (use calculate_irr_sensitivity). BEHAVIOUR: pure deterministic calculation — no side effects, no network or storage access, no randomness; idempotent and non-destructive; identical inputs always produce identical outputs. IRR is solved over the cash-flow schedule [-investment, 0, ..., exit_value] via Newton-Raphson with bisection fallback. RETURNS: JSON object with concept, definition, formula, calculation (irr as a percentage string, moic as a multiple, cash_flows array), interpretation, and sensitivity (byMultiple, byHoldPeriod). PARAMETERS: initial_investment (number > 0, currency units), exit_value (number > 0, same currency units), hold_period (integer >= 1 whole years), currency (optional string: GBP default, USD, EUR, JPY, CHF — display only, no conversion).

  ConnectorNo auth

• calculate_irrA

  valuation-apiA

  Calculate the Internal Rate of Return (IRR), MOIC and an IRR sensitivity table for a single lump-sum equity investment that returns one exit value after a whole-year hold period. WHEN TO USE: you have an upfront investment amount, a single exit value and a hold period in whole years (standard PE/VC single-exit scenario) and need the annualised return, the money multiple, or a return stress-test. The result also includes a plain-language interpretation benchmarked against VC/PE/public-market return hurdles. WHEN NOT TO USE: for cash-flow streams with multiple intermediate distributions (use calculate_npv or calculate_moic on the full cash-flow array), or when you only need the sensitivity grid (use calculate_irr_sensitivity). BEHAVIOUR: pure deterministic calculation — no side effects, no network or storage access, no randomness; idempotent and non-destructive; identical inputs always produce identical outputs. IRR is solved over the cash-flow schedule [-investment, 0, ..., exit_value] via Newton-Raphson with bisection fallback. RETURNS: JSON object with concept, definition, formula, calculation (irr as a percentage string, moic as a multiple, cash_flows array), interpretation, and sensitivity (byMultiple, byHoldPeriod). PARAMETERS: initial_investment (number > 0, currency units), exit_value (number > 0, same currency units), hold_period (integer >= 1 whole years), currency (optional string: GBP default, USD, EUR, JPY, CHF — display only, no conversion).

  ConnectorNo auth

• calculate_irrA

  Valuation APIA

  Calculate the Internal Rate of Return (IRR), MOIC and an IRR sensitivity table for a single lump-sum equity investment that returns one exit value after a whole-year hold period. WHEN TO USE: you have an upfront investment amount, a single exit value and a hold period in whole years (standard PE/VC single-exit scenario) and need the annualised return, the money multiple, or a return stress-test. The result also includes a plain-language interpretation benchmarked against VC/PE/public-market return hurdles. WHEN NOT TO USE: for cash-flow streams with multiple intermediate distributions (use calculate_npv or calculate_moic on the full cash-flow array), or when you only need the sensitivity grid (use calculate_irr_sensitivity). BEHAVIOUR: pure deterministic calculation — no side effects, no network or storage access, no randomness; idempotent and non-destructive; identical inputs always produce identical outputs. IRR is solved over the cash-flow schedule [-investment, 0, ..., exit_value] via Newton-Raphson with bisection fallback. RETURNS: JSON object with concept, definition, formula, calculation (irr as a percentage string, moic as a multiple, cash_flows array), interpretation, and sensitivity (byMultiple, byHoldPeriod). PARAMETERS: initial_investment (number > 0, currency units), exit_value (number > 0, same currency units), hold_period (integer >= 1 whole years), currency (optional string: GBP default, USD, EUR, JPY, CHF — display only, no conversion).

  ConnectorNo auth

• geo_quick_checkA

  TOP GUN GEO-LensA

  Quick brand visibility snapshot across LLM-indexed sources. Returns a score (0–100), top 3 citation URLs, and 2 quick improvement tips. Single-source search (5 results). Costs $0.05 USDC. For full citations, LLM index status, and 6 GEO recommendations use audit_brand ($1.50).

  ConnectorNo auth

• preview_costA

  ARCNMA

  Price a what-if on a priced calculation without saving anything: move cost factors (a rate, a time allowance, the material price) or the lot size, and get the new cost sheet with the change per cost category. Use it to test a cheaper option before deciding. Free: it uses no calculation of the quota and changes nothing, not this calculation and not its costing environment. The part is re-priced by the same engine, so the answer is a price, not an estimate. A factor outside its allowed range is refused by name. By default it answers with a summary: the headline before and after, the change per cost category and only the cost lines that moved; pass detail='full' for the whole previewed cost sheet. To price the part for real, use quote_part. Read-only.

  ConnectorOAuth

• upload_and_quoteA

  ARCNMA

  Price a new part from its CAD file in one call (German: Fertigungskosten). Use it when you can send the file content: a STEP file as base64, or a DXF flat pattern with sheet_gauge_mm and a material; a PDF drawing is optional (tolerances, finishes, treatments). It files the part under part_number and starts the calculation. Billable: one calculation per different part and costing environment, only if it succeeds; copies of one part count once, a catalogue part such as a screw not at all; past the quota an assembly stays unpublished until the rest is priced. A single part may be up to 5 MB, an assembly up to 25 MB; send a large STEP gzip-compressed, about 5x smaller. It runs in the background, usually for seconds; returns the calculation id, status, eta_seconds and the part. Follow it with get_calculation. File on the person's computer: get_upload_link. Part already in ARCNM: quote_part.

  Connector

  Destructive

  OAuth

• get_sequenceA

  OeisA

  Fetch a single OEIS integer sequence by its A-number (e.g. "A000045" for the Fibonacci numbers, "A000040" for the primes). Accepts the A-number with or without the "A" prefix and zero-padding ("A000045", "45", and "000045" are all valid). Returns the full record: name, terms (data), comments, formulas, keywords, offset, author, and reference count. Use this to get the formula or mathematical description of a known sequence.

  ConnectorNo auth

• check_logicA

  icme-preflight-mcpA

  Catch contradictions in reasoning before acting on it. FREE — no account needed. Extracts quantitative and logical claims from any plan, calculation, or chain of thought, then uses a Z3 SAT solver to mathematically prove whether they contradict each other. This is formal verification, not an LLM second-guessing itself. Returns CONSISTENT, CONTRADICTION, or UNKNOWN with the extracted claims.

  ConnectorNo auth

• check_logicA

  icme-preflightA

  Catch contradictions in reasoning before acting on it. FREE — no account needed. Extracts quantitative and logical claims from any plan, calculation, or chain of thought, then uses a Z3 SAT solver to mathematically prove whether they contradict each other. This is formal verification, not an LLM second-guessing itself. Returns CONSISTENT, CONTRADICTION, or UNKNOWN with the extracted claims.

  ConnectorNo auth