Best Actix MCP Servers
Actix is a powerful, pragmatic, and extremely fast web framework for Rust
Why this server?
Automatically detects project stack and configuration for Rust projects using the Actix framework.
AlicenseAqualityAmaintenancePersistent project context for Google Gemini. 12 MCP tools for .faf Project DNA — auto-detect your stack, validate, score, and sync across CLAUDE.md, GEMINI.md, and AGENTS.md. Python/FastMCP. IANA-registered format (application/vnd.faf+yaml). 183 tests. One file, every AI platform.Last updated121MITWhy this server?
Extracts entities and relationships from Rust codebases using Actix web framework, including routes, structs, traits, and functions for graph-based code navigation.
AlicenseAqualityCmaintenanceStructural graph map of any codebase. Scans entities, relationships, and feature flows across 13 languages so LLMs navigate by structure instead of reading everything.Last updated115MITWhy this server?
Fetches documentation and crate information for the Actix Rust framework via crates.io.
AlicenseAqualityBmaintenanceA high-performance MCP server providing up-to-date documentation for Go, npm, Python, Rust, Docker, Kubernetes, Terraform, and more — fetched from official sources, not training data.Last updated183MITWhy this server?
Detects Actix framework usage in Rust projects through project structure inspection and dependency analysis.
Why this server?
Generates .claude/rules/ files specifically for the Actix web framework in Rust projects.
Alicense-quality-maintenanceA developer tool suite for Claude Code that automates the creation of CLAUDE.md files, project rules, and specialized AI agent definitions. It also provides advanced features for generating n8n workflows, performing security audits, and creating automated test cases.Last updatedWhy this server?
Extracts routes, handlers, and dependencies from Actix web applications, enabling querying of callers and blast radius.

knowingofficial
Flicense-qualityBmaintenanceContent-addressed code graph that produces ranked context for AI agents in one call. 22 MCP tools across indexing, blast radius, test scope, semantic diff, runtime traffic, and feedback-aware context packing. Incremental updates via Merkle DAG (no re-indexing). GCF wire format saves 84% tokens vs JSONLast updated7