"MobX-State-Tree" matching MCP servers:

Deep directory tree visualization tool enabling efficient visualization of complex directory structures with AI-powered analysis capabilities.

Deterministic navigation maps over code AND markdown for AI agents: one MCP server, two lenses (tree-sitter TS/JS/Python + markdown). Map a whole project, read one function or one doc-section, ~99% less context. Merges codelens + docslens.

Enables LLMs to chat with long PDFs using a reasoning-based, tree-structured document index that navigates content like a human would, without requiring vector databases or hitting context limits.

MCP server that analyzes codebases with tree-sitter and generates AGENTS.md files for AI agents.

Compare evidence-linked documentation claims with facts observed in the current source tree.

A Confluence MCP server optimized for AI agents, enabling surgical section edits, fast page tree downloads, smart image handling, and more.

Analyzes source code across multiple languages to extract structural elements like classes, functions, and parameters using tree-sitter. It provides LLM-optimized markdown output that includes nesting levels, line numbers, and signatures to facilitate codebase navigation.

Indexes and validates architecture documentation hubs, enabling agents to query IDs, dependencies, orphans, and broken links without loading the full doc tree.

Enables household maintenance planning and tracking through MCP tools, including reviewed step-by-step guides, command-driven state updates, and iCalendar generation for completed routines.

Enables agents to resolve deterministic commands and their context from a nested capability tree via MCP, returning relevant documentation without executing commands.

MCP server for reading Confluence Server/DC documents with search, page content, metadata, spaces, page tree, and attachment/image support.

An MCP protocol server that provides access to supOS open APIs, allowing MCP-compatible clients to query topic tree structures and details.

Enables agentic document retrieval over markdown, CSV, and JSONL using BM25 and tree navigation, without vector databases or embeddings, allowing AI agents to search, browse, and retrieve structured document sections.

Enables intelligent navigation and exploration of the Model Context Protocol specification through dynamic markdown tree generation, section search, content retrieval, and upstream synchronization with the official MCP repository.

Enables local, read-only extraction of text and structure from PDF, DOCX, PPTX, SVG, and PNG files, including OCR for images, directory tree and metadata reporting, with strict path isolation and audit logging.

Enables Trae IDE to parse and query Swagger/Knife4j API documentation by converting JSON format interface documents into a searchable text format, allowing developers to efficiently retrieve API information through natural language queries.

Deterministic, no-LLM MCP server exposing six operations from the Behavioral State-Change Selling methodology manifest.

Exposes Vinverse project data such as state, documents, and membership as MCP tools, enabling LLM clients to fetch authoritative project context over the Model Context Protocol.

Hosted company-state MCP: brand, voice, charter, priorities, and entitled skills for Cursor, Claude, Codex, OpenClaw, and other MCP hosts. Public proof in under 10 seconds, tenant feed after trial.

Provides fresh project context to coding agents by combining Markdown documentation and live Git state, enabling deterministic startup briefs and bounded document retrieval for MCP-compatible tools.