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

This MCP server provides complete MediaWiki markup syntax documentation by dynamically fetching and consolidating information from official MediaWiki help pages. It enables LLMs to access up-to-date and comprehensive MediaWiki syntax information.

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.

Provides 1C configuration metadata, platform syntax, and query language reference for BSL coding agents. Resolves natural language terms to exact object names, returning structures, relationships, and version-aware method details.

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.

Connects AI agents with Swagger/Knife4j API documentation, enabling real-time retrieval, search, and structured understanding of API interfaces, parameters, and schemas.

Exposes Cursor-style skill packs (SKILL.md trees) via MCP resources, tools, and prompts, enabling any MCP client to list, get, search skills, and retrieve skill context.

Enables AI assistants to retrieve and cite South Korean national construction standards (KDS/KCS) with tables and formula images via the KCSC OpenAPI, and to use design decision trees, validation, and blank Excel templates directly in the chat interface.

High-performance code understanding toolkit that enables batch reading of multiple files with dependency context, structural outline extraction with Java annotation awareness, and precise location of classes/methods across large codebases.

Read-only MCP server for self-hosted Confluence that lets AI agents search pages, fetch content, and navigate page trees via the REST API.

Visual documentation MCP server with 13 tools to capture terminal screenshots, syntax-highlighted code, visual diffs, PDFs, GIFs, and more for documentation workflows.

Provides access to up-to-date Ilograph documentation and syntax validation capabilities.

MCP server that provides AI coding agents automatic access to AGENTS.md documentation from GitHub repositories, enabling understanding of codebase conventions and patterns.

A TypeScript-based server that visualizes project directory structures in Markdown format, automatically documenting file contents with syntax highlighting and supporting customizable exclusion patterns.

Enables generation of PlantUML diagrams (sequence, class, C4, architecture) with embeddable SVG/PNG URLs, encoding/decoding capabilities, and automatic syntax error detection and fixing.

Enables MCP clients to search and browse 1C:Enterprise syntax help, with full-text, vector, and hybrid search, page/chunk retrieval, hierarchy navigation, related-page lookup, and index rebuilding.

Provides accessibility acceptance criteria for 51 web and 42 native components from the MagentaA11y project. Enables searching, retrieving component specs, and generating accessibility documentation in multiple formats including Gherkin syntax and developer notes.

DocOrbit is an agent-native documentation intelligence layer that discovers, versions, indexes, retrieves, and verifies software documentation for coding agents. It provides 14 native MCP tools for AST-based doc retrieval, OpenAPI inspection, version pinning, and code verification.

Generates professional documentation for multi-language codebases with deep AST-based code analysis, supporting Docusaurus, MkDocs, and Sphinx frameworks. Includes API documentation generation, PDF export, OpenAPI spec generation, and sales-ready documentation for code marketplaces.

Enables AI assistants to query Serpent 2 syntax and documentation, statically validate and run neutron transport calculations locally or over SSH, and parse result files into JSON summaries and plots. It also lets users browse and download official VTT nuclear data libraries.

Assists AI coding agents in understanding and implementing UTCP by providing documentation search, manual validation, code generation, OpenAPI conversion, and an LLM-powered expert agent.