"Techniques for Writing Strong Code in C++, Rust, and Python" matching MCP servers:

Validates AI-generated Python: syntax, lint, security scan and deterministic repair.

Enables MCP clients to load eight on-demand coding skills and inspect project repositories through bounded, read-only map, search, read, diff, checks, and style tools. It keeps context lean by loading skill bodies only when needed and limiting repository scan and output sizes.

Headless MCP server for Simpson Strong-Tie product data. Provides AI agents with structural connector lookups, load calculations, code compliance verification, and engineering specifications.

Enables execution of Python code in a safe environment, including running scripts, installing packages, and retrieving variable values. Supports file operations and package management through pip.

An MCP service for AI-assisted reasoning and editing on long-form fiction projects. It builds a structured index from scene files for targeted context retrieval.

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

An MCP server for securely executing Python code, supporting STDIO, Streamable HTTP, and SSE transports, with easy deployment on Heroku.

Enables bounded, source-write-free Rust development workflows: inspect Cargo workspaces offline, search and read source, collect compiler diagnostics, select and run tests or binaries/examples, resolve exact-version docs, and produce verified navigation or change/refactor packages without writing the workspace.

Blazing-fast, asynchronous MCP server for seamless filesystem operations.

MCP server offering text analysis tools for writing improvement, including spellcheck, readability, keyword analysis, passive voice detection, and AI-generated content detection.

A MCP server to allow the LLM in Cursor to access Rust Analyzer, Crate Docs and Cargo Commands.

A learning MCP server providing tools for OS info, file operations, weather, SQLite queries and resources for documentation and user profiles.

A Model Context Protocol (MCP) server for debugging and operating Rust Tauri applications over WebSocket.

Provides local, deterministic scoring and detailed auditing of text for AI-writing patterns via two read-only tools, with no network calls or language models.

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

Content writing toolkit for headline generation, readability scoring, tone analysis, outline building, and plagiarism similarity checking.

A simple MCP server that integrates Rust functions via WebAssembly, enabling operations like factorial computation through Claude Desktop.

Enables AI tools to read and write live Figma documents through a plugin bridge rather than the REST API, avoiding tokens and rate limits. Exposes 73 tools for creating and modifying frames, text, components, styles, variables, prototypes, and pages, plus screenshots, PDF/token export, and built-in design-strategy prompts.

A Model Context Protocol server for deep codebase understanding of Python projects, focusing on data analysis and scientific computing. It provides architectural analysis, pattern detection, dependency mapping, test coverage analysis, and AI-optimized context generation.

Analyzes application crash dumps and extracts debug symbols, transforming Windows minidump files into readable stack traces and providing AI-powered crash analysis to help identify root causes and fix critical issues.

Provides access to Rust crate documentation, search, and metadata from docs.rs and crates.io.

Persistent project context in Rust. 8 MCP tools via rmcp SDK — parse, validate, score, compress, discover, and token analysis. Single binary, zero config. IANA-registered format (application/vnd.faf+yaml). One file, every AI platform.

An MCP server that enables AI tools to read and write Figma designs via a plugin bridge, bypassing the Figma REST API and rate limits.

Standardizes front-end JavaScript reverse engineering workflows by providing tools for browser observation, runtime sampling, hooking, debugging, network analysis, and local environment reproduction.

An MCP server that provides AI tools with access to Rust documentation from docs.rs, enabling search for crates, documentation, type information, feature flags, version information, and source code.

MCP server for amazon.in — cheapest in-stock, best-value picks, and price history links.

Enables Codex to rank available tools and skills, rerank code and documentation search results, and triage saved output artifacts using Jev-based relevance scoring while leaving final decisions to Codex.

Call OpenAI Codex from Claude Code for independent second opinions, structured code review, and delegated coding tasks through a FastMCP plugin that drives the codex CLI safely.

Execute Python code via subprocess with timeout and error handling, returning stdout, stderr, and exit code.

This MCP server provides direct access to ruff linting, formatting checks, and ty type-checking for Python projects, with token-efficient, structured output.

Bridges Claude Code CLI with Cursor IDE to use your existing Claude subscription without separate API costs.

Python MCP server for SolidWorks automation with 109 tools covering the full CAD lifecycle. Enables AI-assisted design workflows through COM automation on Windows.

Provides up-to-date information for Rust and Slint development by fetching real-time data from GitHub repositories, including package search, UI components, release news, and development resources with automatic caching and refresh capabilities.

Enables an Alexa+ host to place and manage customer-care calls by building a case, navigating phone menus, waiting on hold, explaining the issue, guarding sensitive disclosures, handing off identity checks, recording ticket numbers and promises, and scheduling follow-ups.

Enables Codex to delegate code reviews, coding tasks, image/video generation, and background investigations to Grok via MCP tools.

Enables Claude Code to control Firefox through tools for tabs, navigation, clicks, typing, scrolling, screenshots, page reading, forms, JavaScript, and console/network logs.

Enables Claude Code to capture public web pages as images or PDFs via Latchshot's hosted API, and check rendering quota, without requiring a local browser.

Enables users and CI to validate an MCP Registry listing before publishing by checking the crates.io README mcp-name line, server.json publish rules, and server-name availability/login requirements, without publishing or requiring credentials.

Enables agents to review Python dependency requirements and source code against a modernization catalog, returning structured guidance, import-level suggestions, and compatibility floors. It also lists available codemod recipes and previews their transformations as unified diffs, all read-only and without installing packages or executing supplied code.

Enables AI agents to execute C++ code, test solutions against multiple test cases, analyze performance, and generate test cases using OnlineGDB's online compiler. Perfect for solving competitive programming problems with iterative self-correction capabilities.