"Understanding Abstract Syntax Trees (AST)" matching MCP servers:

A minimal MCP server that exposes Gemini's web and multimodal understanding (video, audio, document, image) through five dedicated tools.

A smart proxy server that prevents context window bloat by caching large tool responses to local files and returning compact resource links. It supports format conversion and data uploads, allowing LLMs to handle massive datasets without consuming excessive tokens.

Enables validating and enriching phone numbers, returning validity, international/national formats, carrier, line type, and country/location data.

An MCP server that analyzes local or remote GitHub repositories, providing intelligent code context and structure to AI coding assistants.

Provides AI agents with scoped access to backlog and task workflows, using PostgreSQL RLS tenant isolation and lease-based claims so they can safely read and update tasks within their own workspace.

MCP server for 1C:Enterprise that provides precise syntax reference cards (call signatures, parameters, return types, examples) by element name and lists object members. It helps AI agents answer 1C development questions using the official Russian help book.

An MCP server that uses Google's Gemini API to analyze videos and convert them to text descriptions that Claude Code can understand and act upon.

A security filter that blocks dangerous code patterns by comparing normalized structural syntax trees against a blacklist of known threats using vector embeddings. It acts as a gatekeeper to prevent malicious code execution by identifying dangerous structures regardless of specific identifiers or literals.

Enables migration of test automation projects from WebDriverIO to Playwright using AST-based transformations. Provides tools for analyzing tests, converting syntax, refactoring to Page Object Model, and generating migration reports.

Provides AI coding assistants with deep, semantic understanding of local codebases via AST-aware chunking, cross-repo symbol graphs, and architectural memory, enabling context-aware code search and dependency tracing.

Builds rich code graphs from TypeScript/NestJS codebases using AST analysis and Neo4j, enabling semantic search, natural language querying, and intelligent graph traversal to provide deep contextual understanding of code relationships and dependencies.

A minimalist indexing tool that provides AI agents with semantic search and structural AST parsing for deep codebase understanding. It enables autonomous agents to navigate large codebases predictably using vector embeddings and native language server capabilities like definition and reference tracking.

Hands local video files to Gemini's native video understanding for detailed, timestamped descriptions, and also supports image/media viewing with frame extraction.

Provides AI coding agents with five intelligence layers (dependency graph, git history, documentation, architectural decisions, code health) via nine MCP tools, enabling deep codebase understanding and reducing exploration cost.

Deterministic logical reasoning server for MCP clients that compiles facts, rules, and queries to Prolog and returns exact answers with proof trees.

Augments DeepSeek-V4 with image understanding and deep research capabilities via MCP, enabling vision and web research tools.

Enables AI agents to query German federal and state statutes, court decisions, and citation graphs, grounding citations, retrieving provision texts and versions, and understanding coverage limits through read-only tools.

MCP server and CLI for full-text search of the Deutsches Zeitungsportal (German newspaper collection), enabling querying ~33.8 million digitized pages with Solr syntax, date/title/place filters, and snippet highlights.

Enables real-time email verification via MCP tools, checking syntax, MX, disposable domains, and optional SMTP probe to determine deliverability with a VALID/RISKY/INVALID verdict.

Provides comprehensive Pine Script v6 documentation and tools to help AI assistants look up functions, validate syntax, and generate accurate code. It enables linting, version conversion from v5 to v6, and deep conceptual analysis to prevent code hallucinations.