"Python Code for Data Analysis" matching MCP servers:

Enables AI coding assistants to browse Unreal Python API documentation, search classes and functions, and execute Python code in Unreal Editor.

Enables Large Language Models to access and manipulate Autodesk Revit models through a pyRevit-based bridge and the Model Context Protocol.

Provides comprehensive data analysis utilities including statistical functions, probability distributions, and data processing tools through natural language.

Enables natural-language data analysis by loading and inspecting datasets in CSV, JSON, Excel, and Parquet formats, with session management and secure file handling.

Enables searching the NIAID Data Ecosystem for biomedical research resources including datasets, clinical studies, and publications using Elasticsearch queries.

MCP server with local vector search for your codebase. Smart indexing, semantic search, Git history — all offline.

MCP server that gives AI agents isolated, named Linux computers with stable IDs and lifecycle control. Supports multiple backends like Docker, Fly Machines, Modal, and E2B, with a dashboard for managing sandboxes.

MCP server to query UK higher-education open data including National Student Survey results, student outcomes, and graduate earnings. Data is downloaded locally from official sources and compared against benchmarks.

Enables auditing emails for internal contradictions and reporting detected incoherences with literal textual evidence, without issuing a phishing verdict.

Enables local analysis of unstructured documents (PDF, DOCX, PPTX, SVG, PNG) by extracting text and structure with citation anchors, and verifies summaries against source material before a human approves saving a report.

Enables agents to validate data safety before storing, transmitting, or logging data, preventing GDPR/HIPAA/PCI-DSS violations with clear verdicts like SAFE_TO_PROCESS, REDACT_BEFORE_PASSING, DO_NOT_STORE, or ESCALATE.

Institutional-grade quantitative stock analysis and research signals for AI agents via the Model Context Protocol (MCP).

Security analysis for Python codebases through the guard-core engine: SecurityConfig validation that catches keys pydantic silently drops, docs search over the vendored corpus, live detection probing, and verified setup guidance for Python, Typescript, Rust, PHP and Go adapters.

Helps AI assistants optimize Linux workloads on Arm64 by parsing perf report output, recommending NEON SIMD intrinsics for hot loops, and auditing Python dependency manifests for arm64 wheel availability — all offline and structured.

MCP server providing access to Brazilian public data (CNPJ, CEP, banks, holidays) via BrasilAPI. For Claude Desktop, Claude Code, Cursor, and other MCP-compatible clients.

Free MCP server for real-time cryptocurrency data. Get token prices, market overview, top movers, historical charts, and detailed token info directly in Claude Code, Cursor, or any MCP-compatible AI tool. Powered by CoinGecko with 70+ token mappings and built-in caching.

Local MCP server that registers restricted Python filters and runs them against local JSON, YAML, and TXT files, enabling safe data filtering and file conversion.

An MCP server that lets AI assistants discover and retrieve official statistics from SDMX services, returning actual data observations rather than just query URLs.

Lets MCP-compatible AI assistants have read-only conversations with OpenAI Codex CLI for code analysis, review, and Q&A.

A code review tool that generates detailed HTML review documents by comparing branches or commits, with author filtering and intelligent analysis.