Category

Data Science Tools

Showing 35 servers in this category

Results (35 tools)

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Renoun Mcp

98lukehall
๐Ÿ โ˜๏ธ - Structural observability for AI conversations. Detects loops, stuck states, breakthroughs, and convergence across 17 channels without analyzing content.
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Fermat Mcp

abhiphile
๐Ÿ ๐Ÿ  ๐ŸŽ ๐ŸชŸ ๐Ÿง - The ultimate math engine unifying SymPy, NumPy & Matplotlib in one powerful server. Perfect for developers & researchers needing symbolic algebra, numerical computing, and data visualization.
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Mathlas

Archerkattri
๐Ÿ ๐Ÿ  - Airtight math for agents: 3.7M-theorem search, PSLQ constant ID, OEIS, real Lean kernel checks, applicability checklists. No LLM inside, no API key.
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Kaggle Mcp

arrismo
๐Ÿ โ˜๏ธ - Connects to Kaggle, ability to download and analyze datasets.
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Calculator Server

avisangle
๐ŸŽ๏ธ ๐Ÿ  - A comprehensive Go-based MCP server for mathematical computations, implementing 13 mathematical tools across basic arithmetic, advanced functions, statistical analysis, unit conversions, and financial calculations.
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Blackmount Nlp Mcp

BlackMount-ai
๐Ÿ ๐Ÿ  ๐ŸŽ ๐ŸชŸ ๐Ÿง - Deterministic local text analysis: sentiment, readability scoring, keyword extraction, text similarity, summarization, and language detection across 18 languages. Pure Python, zero heavy dependencies, 42 KB wheel. Install: pip install blackmount-nlp-mcp.
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Stella Mcp

bradleylab
๐Ÿ ๐Ÿ  - Create, read, validate, and save Stella system dynamics models (.stmx files in XMILE format) for scientific simulation and modeling.
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Networkx Mcp Server

Bright-L01
๐Ÿ ๐Ÿ  - The first NetworkX integration for Model Context Protocol, enabling graph analysis and visualization directly in AI conversations. Supports 13 operations including centrality algorithms, community detection, PageRank, and graph visualization.
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Filter Mcp Server

chohyerinn
๐Ÿ ๐Ÿ  - Compares approximate filter data structures (Bloom, Counting Bloom, Cuckoo, SuRF) via MCP
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Chronulus Mcp

ChronulusAI
๐Ÿ โ˜๏ธ - Predict anything with Chronulus AI forecasting and prediction agents.
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Math Mcp Learning Server

clouatre-labs
๐Ÿ โ˜๏ธ ๐Ÿ  ๐ŸŽ ๐ŸชŸ ๐Ÿง - Educational MCP server for math operations, statistics, visualization, and persistent workspaces. Built with FastMCP 2.0.
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Llm Advisor Mcp

Daichi-Kudo
๐Ÿ“‡ โ˜๏ธ ๐ŸŽ ๐ŸชŸ ๐Ÿง - Real-time LLM/VLM model comparison with benchmarks, pricing, and personalized recommendations from 5 data sources. No API key required.
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Dingo

DataEval
๐ŸŽ–๏ธ ๐Ÿ ๐Ÿ  ๐ŸŽ ๐ŸชŸ ๐Ÿง - MCP server for the Dingo: a comprehensive data quality evaluation tool. Server Enables interaction with Dingo's rule-based and LLM-based evaluation capabilities and rules&prompts listing.
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Jupyter Mcp Server

datalayer
๐Ÿ ๐Ÿ  - Model Context Protocol (MCP) Server for Jupyter.
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WaveGuardClient

gpartin
๐Ÿ โ˜๏ธ ๐ŸŽ ๐ŸชŸ ๐Ÿง - Physics-based anomaly detection via MCP. Uses Klein-Gordon wave equations on GPU to detect anomalies with high precision (avg 0.90). 9 tools: scan, fingerprint, compare, token risk, wallet profiling, volume check, price manipulation detection.
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Growthbook Mcp

growthbook
๐ŸŽ–๏ธ ๐Ÿ“‡ ๐Ÿ  ๐ŸชŸ ๐Ÿง ๐ŸŽ โ€” Tools for creating and interacting with GrowthBook feature flags and experiments.
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Data Profiler Mcp

haiiibin
๐Ÿ ๐Ÿ  ๐ŸŽ ๐ŸชŸ ๐Ÿง - Profiles tabular data files (CSV, TSV, Parquet, Excel, JSON) for LLM agents: one-call dataset overview, per-column statistics, a data-quality audit (missing values, duplicates, mixed types, outliers), and memory-saving dtype suggestions. Pure Python (pandas); files are read locally and nothing leaves your machine. pip install data-profiler-mcp.
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Label Studio Mcp Server

HumanSignal
๐ŸŽ–๏ธ ๐Ÿ โ˜๏ธ ๐ŸชŸ ๐Ÿง ๐ŸŽ - Create, manage, and automate Label Studio projects, tasks, and predictions for data labeling workflows.
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Jupyter Notebook Mcp

jjsantos01
๐Ÿ ๐Ÿ  - connects Jupyter Notebook to Claude AI, allowing Claude to directly interact with and control Jupyter Notebooks.
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Zaturn

kdqed
๐Ÿ ๐Ÿ  ๐ŸชŸ ๐Ÿง ๐ŸŽ - Link multiple data sources (SQL, CSV, Parquet, etc.) and ask AI to analyze the data for insights and visualizations.
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Mcp Gnu Units

laszlopere
๐Ÿ ๐Ÿ  ๐Ÿง - Unit conversion and dimensional analysis backed by the bundled GNU units database (3000+ units, compound expressions, reduction to SI base units). Offline and deterministic. uvx mcp-gnu-units.
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Discovery Engine

leap-laboratories
๐Ÿ โ˜๏ธ - Superhuman exploratory data analysis that finds the feature interactions and subgroup effects that LLMs and manual exploration miss โ€” with p-values, effect sizes, and literature citations. Data goes in, validated insights come out. Free for public data.
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Gnomon Mcp

lihtness
๐Ÿ ๐Ÿ  ๐ŸŽ ๐ŸชŸ ๐Ÿง - Deterministic batch tools so LLM agents stop next-token-guessing dates and math. Rich now() snapshot (18 fields), calendar(ops) batch dispatcher (diff/until/since/add/weekday/businessdays, natural-language parsing), calc(expressions) Python eval with math+stats pre-loaded, and Pint-based unit conversion. One wiring for dates + math + units. Listed in the official MCP Server Registry. uvx gnomon-mcp.
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Vizro Mcp

mckinsey
๐ŸŽ–๏ธ ๐Ÿ ๐Ÿ  - Tools and templates to create validated and maintainable data charts and dashboards.
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Optuna Mcp

optuna
๐ŸŽ–๏ธ ๐Ÿ ๐Ÿ  ๐Ÿง ๐ŸŽ - Official MCP server enabling seamless orchestration of hyperparameter search and other optimization tasks with Optuna.
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MCPR

phisanti
๐Ÿ  ๐ŸŽ ๐ŸชŸ ๐Ÿง - Model Context Protocol for R: enables AI agents to participate in interactive live R sessions.
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C

Code Guardian

phuongrealmax
๐Ÿ“‡ ๐Ÿ  - AI-powered code refactor engine with 80+ MCP tools for code analysis, hotspot detection, complexity metrics, persistent memory, and automated refactoring plans.
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Pcq

playidea-lab
๐Ÿ ๐Ÿ  ๐ŸŽ ๐ŸชŸ ๐Ÿง - Agent-operable ML experiment contract (cq.yaml + JSON contracts) with a built-in MCP server exposing 14 tools (resolve/inspect/run/validate/describe/compare/lineage) for running, validating, and tracing experiments across any framework (PyTorch / HF Trainer / Lightning / sklearn / XGBoost). Apache-2.0.
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Kaggle

pramod
๐Ÿ - This Kaggle MCP Server makes Kaggle more accessible by letting you browse competitions, leaderboards, models, datasets, and kernels directly within MCP, streamlining discovery for data scientists and developers.
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Mcp Server Data Exploration

reading-plus-ai
๐Ÿ โ˜๏ธ - Enables autonomous data exploration on .csv-based datasets, providing intelligent insights with minimal effort.
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