"AI-assisted Code Refactoring Tools and Techniques" matching MCP tools:

• pine_auth_verify_codeA

  Pine Assistant MCP ServerA

  Verifies the email code with a request token to activate Pine AI credentials, granting access to all Pine tools.

  MIT

• preview_exportC

  creedspace-mcpB

  Preview export configuration for Claude Code or other AI tools to verify persona, UVC qualities, constitutions, and system prompt settings before deployment.

  MIT

• get_exploit_codeA

  Exploit Intel Platform MCP ServerA

  Retrieve exploit source code by platform ID to analyze attack techniques and review proof-of-concept code.

  MIT

• complexity_analysisA

  code-graph-mcpA

  Analyze code complexity to identify code smells and prioritize refactoring opportunities.

  MIT

• compare_codeA

  MCP Code SanitizerA

  Compares two versions of code to identify improvements, regressions, and neutral changes. Returns a merge recommendation for code review and refactoring validation.

  MIT

• get_techniques_used_by_group_softwareA

  MITRE ATT&CK MCP ServerA

  Retrieve techniques used by software of a threat group via the Group → Software → Techniques relationship.

  Apache 2.0

• get_threat_enrichmentA

  Intel Threadlinqs MCPA

  Enrich a threat by ID to reveal the malware families and tools used, targeted sectors, regions, and operating systems, named campaigns, AI/ML techniques, and per-technique mitigations and detection data sources.

  MIT

• get_directorA

  @crewone/mcp-serverA

  Look up a director to obtain AI video prompt tokens, representative works, and signature techniques from CrewOne's reference library.

  MIT

• lsp_call_hierarchyA

  lsp-mcp-serverA

  Analyze code flow by identifying function callers and callees to understand dependencies and assess refactoring impact.

  MIT

• magento_complexityA

  MagectorA

  Analyze PHP code complexity including cyclomatic complexity, function count, and line count. Identify complex hotspots to prioritize refactoring.

  MIT

• refactor_codeA

  Llama-BridgeA

  Apply a requested refactoring to code while preserving its external behavior. Rename, extract methods, or convert patterns through an AI review loop.

  MIT

• llmkit_local_sessionA

  llmkit-mcp-serverA

  Query current session cost across AI coding tools like Claude Code and Cline without requiring an API key.

  MIT

• lsp_code_actionsA

  lsp-mcp-serverA

  Retrieve and apply code actions like quick fixes, refactoring operations, and import organization at specific positions in source files to automate code improvements.

  MIT

• d_find_similar_codeA

  heuristic-mcpA

  Find semantically similar code patterns in the codebase to detect duplicates, understand patterns, and identify refactoring opportunities.

  MIT

• mitre_get_softwareA

  mitre-mcpA

  Retrieve details on known software, malware, or tools, including associated techniques and groups.

  MIT

• get_ai_insightsA

  Chronova MCP ServerA

  Analyze AI-assisted coding adoption over time, compare human vs AI contributions by language, and track efficiency trends to understand AI's impact on development.

  ISC

• get_technique_detailA

  tdmcpB

  Retrieve detailed information about embedded TouchDesigner techniques, including optional code snippets and setup/workflow guidance.

  MIT

• analyzeA

  pangram-mcpA

  Detect AI-generated text using Pangram Labs: classify input as human-written, AI-generated, or AI-assisted and return verdict, class fractions, and segment breakdown.

  MIT

• veto_clone_detectorA

  vetoB

  Scan a project for duplicated code blocks and structural clones, then return grouped findings with refactoring suggestions.

  MIT

• batch-codexA

  codex-mcp-serverB

  Execute multiple code tasks sequentially through Codex for mass refactoring, bulk changes, or automated transformations.

  MIT

• reviewA

  PySpark MCP ServerB

  Inspect PySpark code to identify issues, refactoring opportunities, and best practices. Discover common patterns and duplicate logic across code samples.

  MIT