"Cryptocurrency Price Information" matching MCP servers:

MCP server for querying the DodaOne governance framework, enabling users to retrieve governance information and evaluate proposed actions.

A persistent memory layer for AI tools that decouples personal data from AI's unstable memory, enabling you to mention information once and have it remembered forever across all conversations.

An MCP server that gives AI assistants the ability to remember user information (preferences, behaviors) across conversations using vector search technology.

Provides a single-user, append-only, queryable memory store for dated facts with provenance, enabling Claude to persist and correct personal information across conversations via an MCP interface.

Enables storing and retrieving information using semantic search with Qdrant vector database. Acts as a memory layer for LLMs to persistently store and semantically search through information and metadata.

An MCP server that enforces context validity declarations, ensuring agents refuse stale context with a disclosure naming the accountable steward instead of answering confidently with outdated information.

A local memory server for AI agents that stores and retrieves information via MCP, keeping all data in SQLite on your machine.

Enables MCP clients like Cursor and Claude to remember user preferences and information across conversations using vector search.

Enables MCP clients to store and retrieve user preferences, behaviors, and other text-based information across conversations using semantic vector search.

Enables large language models to directly access and search content in ZIM files, allowing offline question answering and information retrieval from resources like Wikipedia.

Intelligent context-aware memory system for AI assistants that enables persistent memory, automatic development activity tracking, and intelligent information retrieval across conversations.

Implements long-term memory capabilities for AI assistants using PostgreSQL with pgvector for efficient vector similarity search, enabling semantic retrieval of stored information.

Provides a local, persistent long-term memory service for MCP-compatible AI agents, enabling them to store, search, and recall information across sessions.

Enables semantic search and retrieval of information from personal and team knowledge repositories including Slack, Gmail, Dropbox, Google Drive, and uploaded files. Allows storing new information for future recall through AI-powered search.

Enables AI agents to store and retrieve typed facts with bi-temporal validity, supersede outdated information, and query what was true as of any past date.

Enables AI assistants to have persistent long-term memory by automatically storing and retrieving important information via MCP tools.

Retavyn provides persistent memory for Claude, automatically storing and injecting memories across sessions to maintain context and recall past information.

Enables LLMs to accurately navigate and retrieve information from complex documents using Page Index RAG methodology.

An MCP server that enables clients like Cursor, Claude, and Windsurf to remember user information and preferences across conversations using vector search technology.

Enables accessing and managing personal/team internal knowledge repository with tools for semantic search, smart search, document listing, and saving information for future recall.