Statistics MCP servers

A server here statistical analysis: descriptive statistics, hypothesis tests, regression, forecasting.

Not here: serving published statistics tables.

369servers
194 remote175 localTagged by Odel's AI, which can make mistakes
By GitHub stars, at most two per publisher
  1. Number 1: AutoTS@winedarksea/autotsAutomated time series forecasting with model search, anomaly detection, and event risk analysis3% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from PyPI.1,430 GitHub stars.
  2. Number 2: Kronos@hangeaiagent/kronos-mcpStock price forecasting for China A-shares — Kronos K-line time-series model8% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from PyPI.573 GitHub stars.
  3. Number 3: Bagel@extelligence-ai/bagelPlain-English analysis of robotics, drone, and IoT data, with intelligent edge data reduction.3% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from Docker.397 GitHub stars.

Best fit

155 made for this, ranked by starsRemoteLocal
  1. ClaudeR - RStudio MCP Server @imnmv/clauderConnect RStudio to AI assistants for interactive R coding and data analysis.5% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from PyPI.350 GitHub stars.
  2. Stata @sepinetam/stata-mcpLet LLM help you achieve your regression analysis with Stata6% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from PyPI.263 GitHub stars.
  3. tsbootstrap @astrogilda/tsbootstrapRead-only time-series bootstrap server: diagnose a series and compute confidence intervals.2% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from PyPI.95 GitHub stars.
  4. SAS Viya @sassoftware/sas-mcp-serverExecute SAS code and query Compute, CAS, and model APIs on SAS Viya via OAuth 2.0.3% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from Docker.64 GitHub stars.
  5. ChatSpatial @cafferychen777/chatspatialSchema-enforced spatial transcriptomics analysis with 20 tools and 65 methods via MCP4% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from PyPI.44 GitHub stars.
  6. Oraclaw @whatsonyourmind/oraclawDecision intelligence MCP — 17 tools (optimize, simulate, predict, score, graph). Sub-25ms.5% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from npm.13 GitHub stars.
  7. Quantoracle @fel123/quantoracle73 deterministic quant tools for AI agents. LLMs drift on Black-Scholes; these are exact math.6% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from npm.12 GitHub stars.
  8. AutoCarver @mdefrance/autocarverQualify dataset columns and process them against a target with AutoCarver, fully on your machine.7% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from PyPI.11 GitHub stars.
  9. Lumino MCP Server @geored/luminoAI-powered SRE observability for Kubernetes/OpenShift with 40+ Tekton debugging tools5% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from PyPI.11 GitHub stars.
  10. Vmanomaly @victoriametrics-community/mcp-vmanomalyMCP Server for vmanomaly - VictoriaMetrics anomaly detection3% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from Docker.10 GitHub stars.
  11. QuantContext @zomma-dev/quantcontextDeterministic stock screening, backtesting, and factor analysis for AI trading agents4% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from PyPI.9 GitHub stars.
  12. Garmin Local @anup-shesh/garmin-local-mcpLocal-first Garmin data warehouse: sync once to SQLite, analyze trends and correlations offline.3% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from PyPI.8 GitHub stars.
  13. Gold @thaitrevor/gold-mcpMCP server for XAUUSD gold market data + 4-tier trading toolkit (TA, backtest, SMC, risk).7% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from PyPI.8 GitHub stars.
  14. Aurora @fantasylab-ai/auroraGlass-box statistical analysis for agents: 19 methods, cited findings, measured error rates.5% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from PyPI.5 GitHub stars.
  15. Okama @mbk-dev/okama-mcpPortfolio analytics via the okama library: backtests, Monte Carlo, efficient frontier, PNG charts4% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from PyPI.5 GitHub stars.
  16. Gha Intel @barissozudogru/gha-intelWorkflow timing analysis, configuration audit and billing insight for GitHub Actions.5% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from npm.3 GitHub stars.
  17. Data Profiler @haiiibin/data-profiler-mcpProfiles CSV/Parquet/Excel/JSON files: schema, stats, quality flags and dtype tips for LLM agents.3% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from PyPI.3 GitHub stars.
  18. ihalent @gulmezeren2-byte/ihalentTurkish public-tender (EKAP) award intelligence: firm histories, discounts, competition, red flags5% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from PyPI.3 GitHub stars.
  19. Gretl MCP @ondrejlapes/gretl-mcpRun Hansl/Gretl econometrics workflows via MCP with GUI launch and artifacts.3% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from npm.3 GitHub stars.
  20. Quantrisk @78degrees/quantriskPortfolio risk analytics MCP server — VaR, Monte Carlo, stress testing, and more.6% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from npm.2 GitHub stars.
  21. P2Predict @ahmed-khalil-hafsi/p2predictLocal MCP server for parametric price benchmarking in procurement and engineering.3% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from a package registry.2 GitHub stars.

Also touches on Statistics

100 where it is one part of a bigger job