"Scraping Langchain and Langgraph documentation" matching MCP servers:

An MCP server integrating LangChain, RAG, and Agent to provide knowledge retrieval and tool invocation through natural language.

Enables users to access, search, and get recommendations from AWS documentation through natural language queries. Supports both global AWS documentation and AWS China documentation with tools to fetch pages, search content, and discover related resources.

A Model Context Protocol implementation that enables AI assistants to interact with markdown documentation files, providing capabilities for document management, metadata handling, search, and documentation health analysis.

An open-source MCP server that provides applications like Cursor, Windsurf, and Claude with access to llms.txt documentation files, allowing users to control and audit context retrieval.

Enables AI agents to store and retrieve project context, bugs, decisions, and session logs by reading and appending markdown files in a local Obsidian vault, without requiring any cloud services.

Enables Claude and ChatGPT to share a single study-progress database for interview prep, coursework, and spaced repetition, with per-user data isolation and server-side SM-2 scheduling for due reviews and study plans.

Enables researchers to turn property-history questions into reviewable evidence dossiers by gathering sources, tracing people and places, linking conclusions to supporting or opposing passages, and exporting portable backups.

TheWeave is a markdown-native memory architecture for Claude and any MCP-aware agent. Your agent's memory lives as plain .md files you own: a 5-verb MCP core over the vault, query-driven PageRank retrieval, bi-temporal facts (valid_from / valid_until), and a persona-as-vault model. No database and no embeddings server. The files are the memory, inspectable in your editor and versionable in git.

Enables local MCP clients to list, read, write, and search notes in an Obsidian vault via an HTTP server running inside Obsidian.

Enables precise measurement of live HTTP and WebSocket services while maintaining an append-only, evidence-based ledger of claims that agents can query with explicit timestamps, staleness indicators, and instructions for re-verification.

A Python MCP server that gives LLMs persistent, searchable access to project context — documentation, architecture decisions, and session notes.

Connects Claude to a Markdrop knowledge base, allowing it to search and retrieve markdown documentation for context-aware development assistance.

Enables intelligent web document scraping and conversation memory management for Cursor IDE. Supports multi-level link crawling, automatic content extraction, and organized storage of conversations and technical documentation.

Provides a structured documentation system for context preservation in AI assistant environments, helping users create and manage memory banks for their projects.

Integrates with Dumpling AI to provide data scraping, content processing, knowledge management, and code execution capabilities through tools for web interactions, document handling, and AI services.

Give your AI hands. Identity and credential vault gateway for autonomous agents — Ed25519 identity, encrypted vault, OPA policy engine, persistent memory, and web scraping tools.

Enables AI agents to access an organization's software component catalog, including entities, relationships, interfaces, documentation, and team ownership, for grounded context and impact analysis.

Enables MCP clients to access Toolhouse's extensive library of tools, allowing AI assistants to perform actions like web scraping, memory management, and email sending through natural language commands.

Turn repository documentation into deterministic, executable handoffs for coding agents through MCP, CLI, and CI—without an LLM or API key.

Provides AI assistants with direct access to local Markdown documentation libraries, enabling them to list, read, and search through docs on demand.