"Using ast-grep to Modify Code Programmatically" matching MCP servers:

Enables AI assistants to search and analyze codebases using Abstract Syntax Tree (AST) pattern matching with ast-grep. Supports structural code search, pattern testing, and AST visualization across multiple programming languages.

Enables structural code search and refactoring across 20+ programming languages using ast-grep patterns, with safe dry-run mode and flexible filtering.

This MCP server enables AI models to analyze local Python codebases using abstract syntax trees, providing tools for file structure analysis, symbol search, import graphing, docstring auditing, and refactoring prompts without loading entire source files into context.

A grep server implementation that exposes grep functionality through the Model Context Protocol (MCP), supporting natural language prompts and common grep options such as case-insensitive matching, context lines, and recursive searching.

AST-targeted code editing MCP server with 28 surgical tools for structural edits across 11 languages. Built on tree-sitter, replaces brittle search/replace with byte-correct edits keyed by symbol names.

Enables AI coding agents to efficiently explore codebases by providing structural outlines, module digests, symbol bodies, and AST-aware grep via MCP.

MCP server that routes Claude Desktop chat into Claude Code, enabling headless execution and terminal handoff with session continuity.

Transforms Figma design data into a compact, LLM-friendly format for code generation, reducing size by 99.5% while preserving UI-critical information.

Combines AST intelligence and guarded file operations to provide a secure, controlled repository workflow for coding agents, enabling structural code analysis and safe edits without unbounded editor access.

This server provides verifiable code facts and entrypoint maps for a repository. It enables AI agents to understand the deterministic impact of code changes by providing evidence-based analysis of dependencies and usage.

Enables LLM agents to explore JavaScript/TypeScript repositories through parsed syntax trees by returning compact file outlines, precise symbol definitions, and local dependency graphs. It keeps access read-only and sandboxed to chosen roots while using a bounded, flood-proof stdio transport.

Provides deep structural analysis of Python source code via AST, including function signatures, call graphs, cyclomatic complexity, code smells, dead code detection, and protocol conformance.

ast-mcp-server gives coding agents compact, type-aware access to TypeScript and JavaScript projects, providing structural code tools based on the real compiler project model through ts-morph for declarations, references, renames, and diagnostics, with safe prepare → review → apply mutation semantics and immutable hash-bound plans.

Provides deterministic Python codebase symbol exploration using AST parsing, with tools for definition lookup, signatures, references, call chains, and class hierarchy queries.

MCP server for ingesting UI screenshots, Figma MCP node JSON, or hybrid Figma-plus-screenshot sources into a cross-platform design-to-code artifact pipeline.

Provides advanced code structure and semantic analysis through Abstract Syntax Trees (AST) and Abstract Semantic Graphs (ASG) across multiple programming languages. It enables tasks like incremental parsing, complexity analysis, and AST diffing to help models understand and navigate codebases.

Transform Figma designs into pixel-perfect React + Tailwind components using the Model Context Protocol.

Enables whole-program callgraph reachability analysis to locate dead functions and stale flags, and prune unreachable AST branches. It integrates with MCP-compliant clients for deterministic, zero-dependency code review and semantic analysis.

MCP server that analyzes TypeScript/JavaScript codebases via AST parsing and dependency graph tracing to identify affected tests, detect dead code, circular dependencies, and trace import chains, enabling AI agents to run only relevant tests.

Provides deep structural analysis of TypeScript and JavaScript code via the TypeScript Compiler API, offering 20 tools for functions, types, call graphs, code quality, dead code detection, and IDE integration.

AST-aware TypeScript/JavaScript codebase exploration for AI agents, providing high-precision symbol resolution, reference finding, and structural analysis via MCP tools.

Enables MCP-compatible clients to analyze TypeScript code by finding method references, dependency imports, and React component trees.

Enables autonomous agents to parse markdown documents into structured AST nodes—including headings, lists, tables, callouts, and code blocks—and serialize modified AST back into clean canonical markdown via MCP tools.

MCP server with local vector search for your codebase. Smart indexing, semantic search, Git history — all offline.

Converts AI Skills (following Claude Skills format) into MCP server resources, enabling LLM applications to discover, access, and utilize self-contained skill directories through the Model Context Protocol. Provides tools to list available skills, retrieve skill details and content, and read supporting files with security protections.

embedded code search engine CLI -AST based that just works - improves speed and efficiency for coding agent

Enables multi-agent council workflows for coding assistants, providing parallel independent reviews, plans, brainstorms, validation, and research with strict read-only boundaries.

Enables MCP clients to turn Make blueprints and Zapier exports into n8n workflow files, with a per-step report of what converted, what to review, and what must be finished by hand. Also lists zaps, explains how individual steps are handled, checks workflow files for broken links or placeholders, and can upload the result to an n8n instance as an inactive workflow.

A robust, language-agnostic Model Context Protocol (MCP) server that provides AI coding agents with the ability to edit files surgically via Abstract Syntax Trees (AST) instead of relying on token-heavy, brittle search-and-replace or diff operations.

Gemini-powered MCP server for automated code review, analysis, and documentation.