"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.

In-memory polyglot AST pruning and deterministic context firewall for coding agents, eliminating up to 72.4% token bloat with zero telemetry egress.

Hybrid computer-use MCP server that automates browsers and native macOS/Linux apps by fusing accessibility trees, Chrome DevTools Protocol, and vision into one structured context. Exposes four composable tools — cel_see, cel_act, cel_think, cel_perceive — that work with any MCP client and run fully offline via Ollama.

MCP Compass is a discovery and recommendation service that assists AI assistants in finding and understanding Model Context Protocol servers through natural language queries.

Hosted Playwright browser automation for AI agents. Returns accessibility trees instead of screenshots, cutting token usage by 77%. Navigate, interact, extract structured data, and take screenshots — all via MCP. Zero infrastructure, credit-based pricing.

Short Description (概要): An MCP server providing FEP (Free Energy Principle) matrix-pruning tools (resolve_fep_consensus) for multi-agent deadlock resolution and syntax-locked A2A consensus.

Enables graph pathfinding and network analysis through MCP, including Dijkstra/A* shortest paths, topological dependency resolution, maximum flow, minimum spanning trees, and PageRank centrality for agent planning.

Enables MCP clients to run zero-dependency graph algorithms—including topological sorting, strongly connected component detection, shortest paths, maximum flow, minimum spanning trees, and PageRank—for agent dependency resolution and execution planning.

Enables autonomous web agents to prune DOM trees, canonicalize URLs against anti-crawler traps, auto-map form input schemas, and convert HTML/Markdown tables into typed JSON records. It also scores agent execution trajectories against gold benchmarks using action-level precision, recall, and Levenshtein sequence edit distance.

Enables AI agents to be governed by formal Gentzen sequent calculus proof trees, with human-in-the-loop approval gates and cryptographic audit trails for consequential actions.

Enables agents to compute shortest paths, topological orderings, maximum flow and minimum cut bottlenecks, minimum spanning trees, and centrality rankings for graph-based multi-agent routing. It runs as a zero-dependency MCP server using standard Python libraries.

Enables any MCP client to obtain a typed API for whatever page the user is currently on, then execute the call in their real, logged-in browser session without screenshots, DOM dumps, or accessibility trees entering the caller's context. It grafts WebMCP onto sites that never adopted it, synthesizing tools from ordinary forms and ARIA widgets so a page becomes one validated call instead of many probing steps.

Enables AI agents to control a real, persistent Chrome browser over MCP, perceiving pages as accessibility trees and interacting with elements by their accessible names without automation fingerprints or site-specific glue.

Enables deterministic AST static analysis and call-graph auditing to identify orphaned functions, unreachable methods, and token-bloat clusters, producing refactoring plans that reduce context waste.

A token-efficient browser automation server that enables LLMs to navigate websites, click elements, and extract content using accessibility trees and markdown conversion. It provides eight tools for lightweight browser interaction optimized for performance with local LLM endpoints.

Enables autonomous web agents to prune raw HTML into accessibility-friendly semantic trees with 80%+ token reduction, auto-map form input schemas, convert HTML/Markdown tables into type-inferred JSON records, and score agent execution trajectories. Runs as a zero-dependency, stdlib-only MCP stdio server for Claude Desktop, Cursor, and Windsurf.

An MCP server that enables Claude to discover and delegate tasks to local Codex Skills and plugins, bridging Claude's natural language understanding with Codex's execution capabilities.

MCP server that scores how usable websites are for AI browser agents by analyzing accessibility trees, providing prioritized fixes, and enabling an improvement loop with baseline comparisons.

Enables AI agents to access and act on web, desktop, and mobile interfaces via semantic accessibility trees, using MCP tools for querying, navigating, and executing deterministic UI actions without relying on screenshots or pixel coordinates.

MCP server that enforces governance on agentic decisions with auditable evidence records, providing tools for understanding, calibrating confidence, and navigating handoffs based on policy.