数据科学工具
「MCP」栏目下「数据科学工具」分类的已发布内容,按本站发布日期从新到旧排列。
43 条
- 数据科学工具
98lukehall/renoun-mcp
(英文原文)Structural observability for AI conversations: detects loops, stuck states, breakthroughs and convergence without analyzing content.
- 数据科学工具
abhiphile/fermat-mcp
终极数学引擎,将 SymPy、NumPy 和 Matplotlib 统一在一个强大的服务器中。
- 数据科学工具
agmonetti/mathmethods-mcp
(英文原文)Numerical methods: root finding, numerical integration, differential equations (RK4) and Lagrange interpolation.
- 数据科学工具
Archerkattri/mathlas
(英文原文)Math tools for agents: theorem search, PSLQ constant identification, OEIS lookup, Lean kernel checks and applicability checklists.
- 数据科学工具
arrismo/kaggle-mcp
(英文原文)Connect to Kaggle to download and analyze datasets.
- 数据科学工具
aurelio-nakamura/dataloupe
(英文原文)Offline tabular data access: describe, preview and query CSV, TSV, JSON, Parquet and Excel files, diff datasets and build an interactive HTML explorer.
- 数据科学工具
avisangle/calculator-server
(英文原文)Mathematical computations: basic arithmetic, advanced functions, statistical analysis, unit conversions and financial calculations.
- 数据科学工具
bradleylab/stella-mcp
(英文原文)Create, read, validate and save Stella system dynamics models (.stmx files in XMILE format) for scientific simulation and modeling.
- 数据科学工具
Bright-L01/networkx-mcp-server
(英文原文)Graph analysis with NetworkX: centrality algorithms, community detection, PageRank and graph visualization.
- 数据科学工具
chohyerinn/filter-mcp-server
(英文原文)Compare approximate filter data structures: Bloom, Counting Bloom, Cuckoo and SuRF.
- 数据科学工具
ChronulusAI/chronulus-mcp
(英文原文)Forecasting and prediction with Chronulus AI agents.
- 数据科学工具
clouatre-labs/math-mcp-learning-server
(英文原文)Educational server for math operations, statistics, visualization and persistent workspaces.
- 数据科学工具
Daichi-Kudo/llm-advisor-mcp
(英文原文)Real-time LLM and VLM comparison with benchmarks, prices and personalized recommendations from multiple data sources.
- 数据科学工具
DataEval/dingo
Dingo 的 MCP 服务端。
- 数据科学工具
datalayer/jupyter-mcp-server
(英文原文)Interact with Jupyter.
- 数据科学工具
FantasyLab-ai/aurora
(英文原文)Transparent statistical analysis with cited findings, integrity-hashed result bundles and a calibration corpus of measured detector false-fire rates.
- 数据科学工具
gpartin/WaveGuardClient
(英文原文)Physics-based anomaly detection with Klein-Gordon wave equations: scans, fingerprinting, token risk, wallet profiling and price manipulation detection.
- 数据科学工具
growthbook/growthbook-mcp
(英文原文)Create and interact with GrowthBook feature flags and experiments.
- 数据科学工具
haiiibin/data-profiler-mcp
(英文原文)Profile local tabular files (CSV, TSV, Parquet, Excel, JSON): dataset overview, per-column statistics, data-quality audits and dtype suggestions.
- 数据科学工具
hanshs474/jevx-mcp
(英文原文)Run zero-shot Jev AI typed decisions with criteria defined in the request and get calibrated probabilities for every option.
- 数据科学工具
headlessherm-creator/polymath-megablaster-mcp
(英文原文)Local deterministic calculations: exact-precision math, date arithmetic, unit conversion, statistics, subnet math, haversine and Levenshtein distance.
- 数据科学工具
HumanSignal/label-studio-mcp-server
(英文原文)Create, manage and automate Label Studio projects, tasks and predictions for data labeling workflows.
- 数据科学工具
inity13/decisionmatrix-mcp
(英文原文)Deterministic multi-criteria decision analysis: rank options on weighted criteria via weighted-sum, weighted-product or TOPSIS, with sensitivity analysis.
- 数据科学工具
jjsantos01/jupyter-notebook-mcp
(英文原文)Interact with and control Jupyter Notebooks.
- 数据科学工具
jonahthan433/cortexcloud-mcp
(英文原文)QUBO/Ising optimization with classical, hybrid and quantum solvers, paid per call via x402 (USDC on Base).
- 数据科学工具
kdqed/zaturn
(英文原文)Link multiple data sources (SQL, CSV, Parquet and more) and analyze the data for insights and visualizations.
- 数据科学工具
laszlopere/mcp-gnu-units
(英文原文)Offline unit conversion and dimensional analysis backed by the GNU units database, with compound expressions and reduction to SI base units.
- 数据科学工具
leap-laboratories/discovery-engine
(英文原文)Exploratory data analysis that finds feature interactions and subgroup effects, with p-values, effect sizes and literature citations.
- 数据科学工具
lihtness/gnomon-mcp
(英文原文)Deterministic date, math and unit tools: time snapshots, calendar math with natural-language parsing, expression evaluation and Pint-based unit conversion.
- 数据科学工具
mckinsey/vizro-mcp
(英文原文)Create validated, maintainable data charts and dashboards with Vizro tools and templates.
- 数据科学工具
mrnh/rigor
(英文原文)Classical hypothesis testing, effect sizes, power and sample-size analysis and multiple-comparisons correction, returned as cited, assumption-checked answers.
- 数据科学工具
optuna/optuna-mcp
(英文原文)Orchestrate hyperparameter search and other optimization tasks with Optuna.
- 数据科学工具
phisanti/MCPR
(英文原文)Connect AI agents to interactive live R sessions.
- 数据科学工具
phuongrealmax/code-guardian
(英文原文)Code refactoring engine: code analysis, hotspot detection, complexity metrics, persistent memory and automated refactoring plans.
- 数据科学工具
playidea-lab/pcq
(英文原文)ML experiment contracts (cq.yaml plus JSON) to run, validate, compare and trace experiments in any framework, including PyTorch, Lightning and sklearn.
- 数据科学工具
pramod/kaggle
(英文原文)Browse Kaggle competitions, leaderboards, models, datasets and kernels.
- 数据科学工具
reading-plus-ai/mcp-server-data-exploration
实现基于.csv数据集的自动数据探索,提供最少工作量的智能化洞察。
- 数据科学工具
ShipItAndPray/mcp-compress
(英文原文)Data compression with gzip, Brotli, deflate and TurboQuant quantization, with automatic algorithm selection.
- 数据科学工具
ShipItAndPray/mcp-turboquant
(英文原文)LLM quantization: convert models to GGUF, GPTQ and AWQ, recommend quantization settings, evaluate quality and push to Hugging Face Hub.
- 数据科学工具
subelsky/bundler_mcp
(英文原文)Query local information about dependencies in a Ruby project's Gemfile.
- 数据科学工具
tufantunc/axiom-advanced-math-mcp
(英文原文)Offline exact symbolic math via the Giac/Xcas computer algebra system: calculus, equation solving, linear algebra, combinatorics and claim verification.
- 数据科学工具
Whatsonyourmind/oraclaw
(英文原文)Decision intelligence algorithms: bandits, Monte Carlo, constraint optimization, forecasting, anomaly detection, risk analysis and graph algorithms.
- 数据科学工具
zcaceres/markdownify-mcp
一个 MCP 服务器,可将几乎任何文件或网络内容转换为 Markdown.