"Arc" matching MCP servers:

MCP server for reviewing Phabricator revisions. It fetches revision context and creates draft inline comments via Conduit API.

Neo4j-backed MCP server managing code architecture dependency graphs, enabling AI agents to query impact, submit change intents, and coordinate reactive multi-agent workflows.

Extracts deterministic architecture maps from codebases for AI agents, enabling queries about blast radius, routes, security findings, and production readiness without sending code anywhere.

Code dependency graph and AI context engine. 10 MCP tools that give Claude, Cursor, and any MCP client full codebase context — impact analysis, dependency tracing, architecture summaries, and interactive arc diagram visualization. Supports TypeScript, JavaScript, Python, and Go.

ocal-first, read-only MCP server that audits repository test architecture across ten language ecosystems. It returns deterministic evidence-backed findings, blockers, rankings, and repository-native test plans without modifying source files.

Compare evidence-linked documentation claims with facts observed in the current source tree.

An MCP server that provides technical consultation, code review, and code explanation by integrating with OpenAI's Codex CLI, enabling AI-powered coding assistance in a sandboxed, read-only environment.

An MCP server that gives Claude Code IDE-level intelligence for FastAPI projects — semantic code navigation, safe renaming, route inspection, dependency trees, and Pydantic model analysis. Instead of Claude reading files blindly, it calls structured tools backed by Jedi (Python language server) and Python's AST.

Provides AI-powered architecture analysis and visualization of codebases, exposing 17 MCP tools for querying components, dependencies, and generating interactive diagrams.

A centralized remote MCP server that gives AI coding assistants real-time microservices architecture intelligence, including service search, database schema lookup, API discovery, and change blast-radius analysis.

Enables local LLMs to perform enterprise-grade code auditing, AST security screening, architectural planning, and real-time Discord observability with zero cloud API costs.

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Provides agents with read-only access to local code architecture graphs (structure from tree-sitter, semantic summaries from LLMs), including per-workspace graph/config/status/rebuild tools, while enforcing that topology comes only from static analysis.

A local MCP server that gives AI coding agents symbol definitions, dependency graphs, and a live architecture vocabulary for TypeScript/JavaScript repos, with no network or embeddings.

Serves the architectural graph of a hexagonal-architecture codebase to coding agents via stdio, providing tools to analyze dependencies, check violations, and inspect structural changes.

MCP server that provides tools for architecture analysis, risk diagnosis, quality metrics, and regression guarding to support AI-driven code review and incremental refactoring workflows.

Enables scanning Java/Maven projects to generate TOGAF-standard architecture deliverables (Excel and PPTX) via natural language commands.

Analyzes Java Spring Boot Maven repositories by scanning source code, building a dependency graph, and exposing tools for architecture overview, change impact, dependency cycles, rule validation, and refactoring targets so LLMs can answer architecture questions without rereading the codebase.

Enables tracing any line in a local git repository back to the commit that actually introduced it and the PR/review discussion behind it, overcoming git blame's misleading last-touch attribution.

Automates project scaffolding for Domain-Driven Design and Clean Architecture, providing professional naming, structure verification, and bilingual documentation generation.