ScoreCompute

com.scorecompute由 scorecompute.com 发布官方发布者v0.17.1更新于 Oct 27, 2026

38 MCP tools: Rust computation, Discovery, composition, counterexample scans and signed checks.

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概览

AI 生成的概览

远程 MCP 服务器,提供 38 个有界科学计算与数学工具,涵盖蒙特卡洛模拟、统计核查、路线与排程规划。

可以做什么
  • 运行带种子的模拟与数值检查:圆周率估计、算术与反例扫描、不确定度传播、开普勒轨道与膜振动模态
  • 核查声明:阴影、星历、统计(GRIM/GRIMMER)、运动学、棋局、洗售交易与路线声明,返回限定于模型的结论与签名回执
  • 优化与规划:预算内任务选择、截止风险模拟、路线排序及路线策略训练与执行
  • 组合与能力查询:列出原生契约、规划并执行已批准的组合链、读取网络状态
  • 提交并轮询公共合成计算作业
适用场景
适合需要可复现、有界的数值或统计核查,或需要带明确假设的规划与优化结果的场景。也适合核查某项声明并取得限定于模型的结论与回执。
运行要求
远程 streamable HTTP 端点;未声明任何软件包、环境变量或请求头。部分工具需要显式输入,如声明的不确定度、随机种子、容差或假设确认。
安装前请注意
结论均限定于模型,明确不构成真实性、真伪或欺诈的证明;通过检查不代表数据真实存在。提交的网络作业仅限公开合成负载,且可能过期。多个工具只接受有界输入,可能返回不确定或被阻止的结果。

安装

在 SourceWeft 中

  1. 打开 控制台中的 ScoreCompute,将其添加到工作区。
  2. 为需要使用其工具的对话启用该服务。

Web executable,通过 Streamable HTTP。 远程服务在工作区中配置后即可从网页运行时运行。

交给智能体安装

把这段提示词粘贴到 Claude Code、Codex、Cursor 等智能体,或 SourceWeft 对话中。智能体会读取该服务器的安装指南,先向你展示发布者、端点和登录方式,经你同意后再把它添加到你的客户端。密钥不会写进任何命令。

阅读 https://sourceweft.com/mcp/com.scorecompute%2Fscorecompute/install.md,并按其中说明把这个 MCP 服务器接入我的客户端。修改任何配置之前,先告诉我它的发布者、端点和登录方式,等我确认。不要把 API 密钥写进命令或我会提交的文件;问我密钥应从哪里获取。

查看智能体所依据的安装指南

其他 MCP 客户端

把它添加到你客户端的 mcpServers 配置中。

{
  "mcpServers": {
    "scorecompute": {
      "type": "http",
      "url": "https://scorecompute.com/mcp"
    }
  }
}

工具

38

simulate_pi

Estimate pi with seeded Monte Carlo and a 95% Wilson interval; up to 5 million samples. CPU or optional CUDA. Other direct scientific engines run on CPU.

输入参数seed必填backendsamples必填device_ids

optimize_tasks

Exactly maximize value for up to 32 independent, indivisible tasks within an integer-minute budget. Each task is selected at most once; no prerequisites or shared resources.

输入参数items必填budget必填

verify_shadows

Check measured shadows using NOAA solar position, a ground-plane homography from 4–16 controls and Monte Carlo uncertainty. Returns conditional consistency, never image authenticity.

输入参数seedshadow必填samplesdate_utc必填latitude必填longitude必填pixel_sigmasecond_shadowcontrol_points必填time_sigma_minutes

check_ephemeris

Check a claimed Sun (soleil) or Moon (lune) position for UTC time/location using NOAA/Meeus approximations and lunar parallax. Returns model-conditional angular consistency and lunar phase.

输入参数objectdate_utc必填latitude必填longitude必填tolerance_degclaimed_azimuth_deg必填claimed_elevation_deg必填

audit_statistics

Apply necessary GRIM/GRIMMER checks to rounded means and sample deviations of bounded integer observations. Passing does not prove a dataset exists; inconsistency does not establish fraud.

输入参数n必填sdmean必填decimalsmax_valuemin_value

analyze_kinematics

Convert angular speed and candidate distances to minimum transverse speeds; check a claimed speed-distance pair. Distance hypotheses are supplied, not measured; no object-origin conclusion.

输入参数distance_max_kmdistance_min_kmclaimed_speed_kmhclaimed_distance_kmangular_speed_deg_per_s必填

check_shadow_track

Compare 4–120 measured minute/azimuth pairs with solar motion: residuals, slope, direction and time-lapse speed. Supply measurements, not video. Results are model-conditional consistency findings.

输入参数samples必填date_utc必填latitude必填longitude必填tolerance_deg

solve_equilibrium

Solve Kuhn poker with CFR+ self-play, measure exploitability with pure best responses and compare the game value with -1/18. Illustrative game theory, not gambling advice.

输入参数iterations

analyze_chess_game

Compare 4–40 supplied FEN positions and played SAN/UCI moves with Stockfish: first-choice agreement and centipawn loss. Entire analysis has a 25-second deadline; no cheating verdict.

输入参数depthpositions必填

screen_wash_trading

Screen a supplied trade series for repeated volume at nearly equal prices within a declared time window. Return recycled-volume ratio and cycles; a pattern does not prove wash trading.

输入参数trades必填window_sprice_band_pct

simulate_plan

Estimate deadline success, mean duration and empirical p95 for up to 32 integer-minute tasks under independent bounded uniform duration variations. Seeded CPU sampling; not a real-world forecast guarantee.

输入参数seed必填budget必填samples必填durations必填uncertainty必填

route_optimizer

Order 2–256 points from index 0 using planar or spherical kilometre distances. Exact only after completed Held–Karp search (at most 13 points); otherwise bounded heuristics. Returns every leg and stop reason. No roads or traffic.

输入参数metric必填points必填time_budget_msreturn_to_start

forge_route_policy

Train route-score ASTs on 1–8 supplied cases: at most 64 attempts and 31 nodes; stop between trials after 25s. Select converged candidates using training quality plus logical-fuel cost, a work proxy rather than CPU time. No held-out validation, arbitrary code or automatic promotion.

输入参数seed必填train必填budget必填

run_route_policy

Execute a supplied bounded score AST on 2–128 Euclidean-km points with depot 0 and 2-opt. Validates the closed tour; exact=false. No retraining, external effects or promotion. Hashes identify programs, not independent validation.

输入参数points必填program必填fuel_limittime_budget_ms

plan_golden_hour

Compute geometric golden [-4,+6°] and blue [-6,-4°] windows for one UTC day, 1900–2100. Sunrise at -0.833° is a separate convention. No refraction, terrain or weather. Numerical tolerance is not astronomical accuracy; oracle validation covers reference dates only. Shared solar models are not independent corroboration.

输入参数date_utc必填latitude必填longitude必填

triangulate_tracks

Fit position/velocity from 2–4 supplied azimuth/elevation tracks using constant velocity in spherical ECEF and declared angular noise/clocks. Reports fit status and conditional local uncertainty; no object identification or calibrated accuracy.

输入参数observers必填

plan_observation

Fit original tracks, then rank 1–64 supplied future series by local-linear uncertainty and declared cost. Assumes constant velocity, independent new errors and exact stations/clocks. Candidate angles and client baselines are forbidden. Prediction is not an acquired measurement or visibility proof.

输入参数objective必填candidates必填assumptions必填constraints必填observations必填

assimilate_observation

Refit original tracks plus one supplied new angular series, each counted once; compute the baseline natively. Declare synthetic/measured origin (unverified). Conditional uncertainty may worsen; forecast angles are not acquired evidence.

输入参数objective必填new_series必填assumptions必填data_origin必填observations必填

stress_test_observation

Refit 1–32 declared hypothetical angular/clock perturbations to challenge reconstruction stability. Explicit hypothetical acknowledgement required. Non-convergence is inconclusive; none_found covers examined cases only. No new observations.

输入参数cases必填claim必填bounds必填observations必填perturbations_are_hypothetical必填

improve_schedule

Compare up to 32 declared deadline/optional-task changes under independent-uniform durations; preserve required tasks. Search bounds select one finalist for separately seeded confirmation, without retries. Conditional on the model, not delivery reliability.

输入参数costs必填items必填samples必填search_seed必填uncertainty必填removal_sets必填extra_minutes必填duration_model必填deadline_minutes必填min_success_rate必填required_indices必填confirmation_seed必填

list_capabilities

Read native contracts, themes, units, assumptions, backends and approved composition families; optional exact theme filter. tools/list discovers direct MCP tools; list_composition_capabilities adds planner bindings.

输入参数theme

plan_mission

Preview robust scheduling without running engines: validate assumptions/permissions and return up to three candidate budgets (nominal, 10% reserve, 20% reserve), compute limits or blockers. No arbitrary tools or external code.

输入参数seeditems必填budget必填samplesuncertainty必填allowed_toolsduration_modelmax_candidatesmin_success_rate

build_robust_plan

Compare up to three task selections; choose highest examined value meeting the target under simultaneous 95% sampling bounds or an exact bound. Independent-uniform durations; can return inconclusive/blocked. Streams native events.

输入参数seeditems必填budget必填samplesuncertainty必填allowed_toolsduration_modelmax_candidatesmin_success_rate

list_composition_capabilities

Read implemented versioned contracts, native capabilities, approved adapters and planning examples. Unsupported unit/model facts expose missing adapters. No engines run; direct tools remain independently callable.

无需输入参数。

compose_capabilities

Plan from declared available/goal contracts within tool, locality and search bounds. Returns dependencies, blockers and existing-tool bindings. Cost counts graph steps, not speed, price or quality. Runs no engines; execution validates arguments.

输入参数goals必填inputsadaptersavailable必填constraints

execute_composition

Run approved task-selection/route-to-duration risk chains only. Supply engine inputs and explicit uncertainty; route speed is 1–150 km/h. Returns native receipts and 95% sampling bounds. Completed means assessed, not safe. Other paths use advertised bindings.

输入参数goals必填inputsadaptersavailable必填constraints

network_status

Read contributor availability, offered CPU/GPU resources and verified throughput by workload. Hardware is self-reported; per-GPU VRAM is not pooled. Mixed-workload samples do not measure comparative speed.

无需输入参数。

submit_network_job

Queue fixed public synthetic pi (CPU/CUDA) or one of three discrete schedule scenarios (CPU only). No private data/custom code. Returns a ticket; poll get_network_job. Coordinator recomputes every accepted shard; no net speedup claim. Jobs may expire.

输入参数seedbackendsamples必填workloadscenario_id

get_network_job

Read a public contributor ticket/progress and verified pi or discrete synthetic schedule result. Schedule results include fixed-sample Wilson95 bounds. Worker/verification/wall times are separate; model probabilities are not delivery guarantees.

输入参数job_id必填

check_arithmetic

Check an explicit arithmetic claim. Checked i128 rationals give exact verdicts when expression, claim and tolerances are representable. Unsupported functions or overflow return an estimate with an undetermined verdict. Includes a versioned integrity digest; no checks of units or model meaning.

输入参数valuesexpression必填claimed_value必填tolerance_absolutetolerance_relative

compute_orbit

Compute an ideal two-body Keplerian orbit around one solar mass. Time starts at periapsis; distances use AU and time uses days. This model is not a real celestial ephemeris.

输入参数eccentricity必填elapsed_days必填semi_major_au必填

hear_the_shape

Compute 1–12 ideal fixed/free membrane modes for a simple polygon in metres using bounded P1 finite elements. Return upper bounds, extrapolated estimates and optional frequencies/shapes. Finite spectral agreement does not prove isospectrality; no damping. CPU, direct-only; no planner binding.

输入参数modespolygon必填boundarywave_speedcompare_polygoninclude_mode_shapes

kepler_stability

Survey up to 512 initial orbits in a planar circular Sun–Jupiter model; at most 4 million reserved CPU steps. Return finite-window sensitivity, actual durations, sampled Jacobi drift and explicit stops. Bands do not prove chaos or stability; radial overlap is not an encounter. Direct-only.

输入参数n_a必填n_e必填e_max必填e_min必填a_max_au必填a_min_au必填mass_ratioduration_yrmax_work_unitssteps_per_yearinitial_phase_degjupiter_semi_major_au

propagate_uncertainty

Check dimensions, then compare first-order GUM with seeded fixed-sample Monte Carlo for an explicit model of 1–16 inputs. Return uncertainty budgets, coverage intervals and convergence/linearization findings. Conditional on supplied distributions; no affine units. CPU, direct-only; no planner binding.

输入参数seedsamplescoveragevariables必填expression必填result_unitcorrelations

scan_counterexample

Bounded deterministic float64 scan of a scalar <= or >= claim over a declared grid of 1–6 variables. Reports numerical witnesses, undefined and uncertain evaluations, and the exact stop reason. A propagated screening guard rejects near-boundary candidates; it is not a certified interval or formal proof. An inconclusive outcome preserves unresolved sampled cells; absence of a witness does not establish the claim over the continuous box.

输入参数bound必填relation必填tolerancevariables必填expression必填max_evaluationsmax_counterexamples

shape_the_sound

Kac's question in reverse: design a polygonal drumhead whose lowest tones play requested frequency ratios (a fifth, a triad, a pentatonic scale), each accepted within ±tolerance_cents. proven_impossible is returned only when proven theorems exclude every ratio combination inside those tolerance windows for a connected uniform membrane with a fixed edge: simple fundamental, f2/f1 ≤ j11/j01 ≈ 1.5933 with equality for the disk (Ashbaugh–Benguria 1992), and Yang's universal inequality minimized exactly over the window box; an exact-target exclusion is reported separately. Otherwise multi-start L-BFGS with exact finite-element shape derivatives designs a 5–16-vertex polygon, then reanalyses it on three refined meshes with the shared hear_the_shape solver: achieved ratios, errors in cents with estimated uncertainty (not rigorous bounds), resolution warnings, optional numerical tuning of the fundamental in Hz. not_achieved is a bounded-search result, never an impossibility proof. Ideal membrane only.

输入参数seedverticeswave_speedtarget_ratios必填fundamental_hzmax_evaluationstolerance_centsinclude_mode_shapes

tour_profile

Locally normalized geometric descriptors of 3–256 planar points: distances, nearest-neighbour isolation, centroid spread, PCA collinearity and histogram. The principal-axis mirror residual is null for isotropic noncoincident covariance, whose axes are undetermined. Rounded fingerprints are descriptive, not proofs of equivalence or method benefit.

输入参数points必填reference_distance_fraction

verify_claim

Verify a structured arithmetic, shadow, ephemeris, statistics or route claim with a bounded native engine. Returns a model-scoped verdict and portable Ed25519 server receipt; never truth, authenticity or fraud certification. Route claims explicitly distinguish optimality from a supplied tour total. Native failures return no scientific verdict. Parameters and examples: /verify and /docs/mcp/.

输入参数claimdomain必填parameters必填

版本历史

12
  1. v0.17.1最新Oct 6, 2026
  2. v0.17.0Oct 6, 2026
  3. v0.16.1Oct 5, 2026
  4. v0.15.0Oct 4, 2026
  5. v0.14.2Oct 2, 2026
  6. v0.14.0Oct 2, 2026
  7. v0.13.0Oct 1, 2026
  8. v0.12.0Oct 1, 2026
  9. v0.11.0Oct 1, 2026
  10. v0.9.0Oct 1, 2026
  11. v0.6.3Sep 30, 2026
  12. v0.4.0Sep 30, 2026

评分

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