"Cargo Doc" matching MCP servers:

A unified developer toolkit for AI-assisted workflows. Task timing, doc drift detection, env validation, secret scanning, port conflict resolution, AI context generation, and license auditing — one MCP server, one install.

Deterministic navigation maps over code AND markdown for AI agents: one MCP server, two lenses (tree-sitter TS/JS/Python + markdown). Map a whole project, read one function or one doc-section, ~99% less context. Merges codelens + docslens.

Enables checking packages across npm, PyPI, Go, Maven, Cargo, NuGet, and RubyGems for existence, deprecation, known vulnerabilities, and license issues before installation, providing verdicts like does_not_exist, risky, verify, or ok.

A Model Context Protocol server that provides AI coding assistants with direct access to Apple's Developer Documentation, enabling seamless lookup of frameworks, symbols, and detailed API references.

Enables AI agents to retrieve exact-version library documentation from the project's lockfile and installed packages, providing cited API signatures and doc comments offline without rate limits.

Generates comprehensive documentation (architecture overview, dependency graph, API surface, and README) for any codebase locally without external APIs.

Provides documentation generation and analysis tools for AI agents, including JSDoc generation, README analysis, changelog generation, API documentation, and code comment analysis.

MCP server exposing a shared pr-review skill with tools to list, get, run, and evaluate skills, enabling AI assistants to perform code review tasks.

Enables AI coding tools to query your live codebase for routes, import graph, domain context, and blast radius, eliminating hallucinations about project structure.

CP server that generates AGENTS.md and CLAUDE.md from your real repo, verifies every command actually exists, detects doc drift, and saves session context — all locally, no data leaves your machine. Free-tier friendly via Groq/NVIDIA.

Provides AI-powered development tools including code generation, refactoring, debugging, performance optimization, and test generation, along with smart prompts for code analysis and documentation, and a built-in knowledge base of coding best practices.

Analyzes TypeORM entity source files offline to produce schema graphs, ERD diagrams, Markdown documentation, and missing-documentation audits. Enables AI clients to understand database schema without a database connection.

Gives coding agents offline, local lookup of real MetaTrader 5 built-in function signatures, sections and documentation links, plus plain-language meanings for trade server return codes and runtime errors. It runs over stdio with a prebuilt index, making no network calls and requiring no API key, so agents stop emitting MQL4 syntax or inventing functions.

MCP server for angr binary analysis API workflow retrieval. Extracts real API usage patterns from angr's source code and angr-doc examples, then indexes them with semantic search so LLMs can query correct API call sequences.

Enables discovery, execution, indexing, and querying of Rust program traces using FireDBG, scoped to a single Cargo workspace.

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

Provides LLMs with code and documentation search over nautilus_trader via LSP-based symbol lookup and semantic embedding-based doc retrieval.

Enables LLM-powered IDEs to search PyBaMM documentation and source code, with tools for full-text search, reading doc pages, and browsing source files from a local clone.

Enables scanning of project dependencies across multiple package managers (npm, pip, cargo, etc.) and generates comprehensive markdown license reports. Supports automatic license detection from package registries with caching for improved performance.

Provides comprehensive Pine Script v6 documentation and tools to help AI assistants look up functions, validate syntax, and generate accurate code. It enables linting, version conversion from v5 to v6, and deep conceptual analysis to prevent code hallucinations.