"Chemistry information or resources" matching MCP servers:

Provides tools for managing student knowledge graphs, enabling structured representation of courses, assignments, exams, concepts, and study resources.

Provides tools for managing project knowledge graphs, enabling structured representation of projects, tasks, milestones, resources, and team members.

AutoMem MCP provides persistent memory for AI assistants, enabling them to recall information across conversations and platforms with graph-vector retrieval.

A brewing knowledge MCP server — beer styles, ingredients, off-flavour diagnosis, water chemistry, and recipe guidance for AI assistants.

MCP server that exposes a resume as callable tools and resources, enabling AI agents to query experience, skills, projects, and contact information via natural language.

Description: Persistent memory for AI agents with rollback, audit trails, semantic search, and knowledge graph. Zero-config local SQLite or cloud API. 23 tools, 6 resources, 3 prompts.

MCP server for foldkit that exposes the 7-prime spine, 7 κ-bands, and 6 fold operations as native tools and resources in any MCP client.

Enables AI agents to record, recall, correct, and forget evidence-backed factual claims with temporal history, while explaining whether remembered information is current, historical, or contested.

Exposes a knowledge base to LLM clients through tools, resources, and prompts.

This MCP server provides persistent memory integration for chat applications by utilizing a local knowledge graph to remember user information across interactions.

A custom Memory MCP Server that acts as a cache for Infrastructure-as-Code information, allowing users to store, summarize, and manage notes with a custom URI scheme and simple resource handling.

Enables users to create, retrieve, update, delete, and full-text search a local knowledge base of notes persisted in SQLite with FTS5, exposed over stdio or authenticated Streamable HTTP. It also surfaces recent/single-note resources and prompts for summarizing notes and drafting replies.

Wraps the Skosmos REST API to enable AI assistants to browse, search, and traverse SKOS vocabularies via MCP tools and resources.

A persistent memory implementation using a local knowledge graph that lets Claude remember information about users across conversations.

Enables building and managing knowledge workspaces with tools for ingesting content from text, clipboard, or URLs and searching organized knowledge bases. Supports multiple configurable workspaces with separate inbox and knowledge directories for structured information management.

Enables storing durable AI memories linked to local JSON or text sources, automatically superseding outdated structured values, flagging ambiguous changes for review, excluding expired information, and preserving revision history in a local SQLite database.

Enables interaction with the RAGFlow API to manage knowledge base datasets and conduct AI-driven chat sessions. Users can list datasets, create chat assistants, and retrieve or query information from specialized knowledge bases.

Integrates Dify's external knowledge base API with the Model Context Protocol to enable AI agents to retrieve and query relevant information. It supports relevance scoring, metadata filtering, and flexible configuration through environment variables or command-line arguments.

Connects AI assistants and agents to Obsidian vaults through strongly typed tools and resources for reading, creating, searching, organizing, and analyzing notes, tasks, properties, tags, and knowledge-graph data. Supports secure remote access via stdio or Streamable HTTP/SSE with bearer authentication and path isolation.

Enables seamless integration between Claude and Dry smartspaces, turning conversations into persistent, structured data by creating memories and querying information.