"Projects and Programs Written in Rust" matching MCP servers:

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

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.

A read-only MCP server that lets Claude read and search source code from local project folders, with path containment security.

Enables AI IDEs and assistants to perform AST analysis, map dependency graphs and call chains, run semantic code search, and optionally sync cloud-backed memory — all locally so source code never leaves the machine.

MCP server that enables AI agents to instantly understand, generate pattern-aware code, search across repos, and validate changes in the Dealership AI codebase.

A high-performance CLI tool that provides semantic code search, advanced architectural analysis, and codebase indexing with vector embeddings across multiple programming languages. Enables AI assistants to understand and navigate large codebases through graph-based relationships and intelligent code pattern detection.

Provides AI assistants with deep semantic and runtime understanding of Jupyter notebooks.

Enables AI agents to analyze and diff binaries by driving Ghidra headless or inside its GUI, exposing native reverse-engineering tools such as listing functions and segments, searching strings, decompiling, disassembling, and following cross-references. Ships with a devcontainer and supports local stdio or remote HTTP deployment.

MCP server for ai-scanner that enables AI agents to scan codebases for LLM usage, AI frameworks, and exposed secrets.

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.

Enables static auditing of Razorpay payment integrations in Next.js App Router projects written in TypeScript.

Audits a module against its test suite and reports the cases the tests are structurally unable to see, then proves each gap with a real failing test rather than a warning. Covers Python, TypeScript, JavaScript, Java, Rust and Go.

A local guardrail MCP server that checks agent-written code against a repo's own patterns — learned statistically from its git history, no LLM.

Contract-first programming language with a local MCP server for checking types, effects, capabilities, and contracts in agent-written modules. Its review tool compares before and after source sets and returns receipts for new authority, weaker promise tiers, and new Guarded runtime obligations.

Local stdio MCP server (npx -y caveat-lang mcp) with five tools that validate, check, test and explain programs in Caveat, a rules language whose decisions keep their evidence, grounds and caveats. It also finds what depends on a piece of evidence, so a withdrawn input still leaves a past decision's original basis on record.

High-performance local MCP server and CLI written in Rust that scrubs 90%+ framework noise from AI debug logs with Tree-sitter AST validation and test rollback.

Enables semantic code search by matching natural-language questions against LLM-written summaries of every function and returning pointers (symbol, file, line range) instead of source code. Supports summary, raw-code, and hybrid search modes across Python, Go, TypeScript/TSX, JavaScript, and C++ repositories.

BumpGuard is an MCP server that tells your AI coding agent exactly which lines of your code break when you upgrade a dependency, and verifies AI-written code against the actually installed API.

Provides structured debugging capabilities through LLDB, enabling AI assistants to set breakpoints, inspect variables, analyze crashes, disassemble code, and evaluate expressions in C/C++ programs.

MCP server that migrates SAP Module Pool programs to RAP applications interactively, using AI and SAP ADT REST APIs with human approval at each step.