"How to Use Google News RSS Feeds" matching MCP servers:

A persistent news intelligence MCP server that enables AI agents to fetch, store, deduplicate, embed, and semantically query news from Google News across 141 countries and 41 languages.

Self-improving, verifiable memory for AI coding agents. Learns how you work, stops repeating mistakes, models each project, recalls the right lesson at the right moment. Every memory is signed and tamper-evident. Local-first.

Semantic memory for AI builders: capture the tacit engineering know-how that never reaches your docs, recall it the moment it applies. Built in Rust on Postgres and pgvector.

Enables teams to capture and distill knowledge from sessions, meetings, and feeds into a searchable, vector-embedded graph, then retrieve or synthesize it conversationally via semantic search and citations.

A local memory engine any AI tool can use.

Provides a searchable knowledge base over the Entra.news archive, enabling natural language queries for Microsoft Entra announcements, features, and community tools. Users can perform hybrid semantic searches, retrieve specific newsletter issues, and discover mentioned GitHub projects or PowerShell tools.

Cross-model AI memory persistence server that gives every AI tool you use access to the same persistent memory.

A credential-free MCP server that turns a Substack publication's public RSS archive and official analytics snapshots into a durable, queryable local SQLite ledger. It provides 12 MCP tools for browsing posts, tracking versions, recording metric snapshots, and analyzing content patterns.

Self-hosted MCP memory server for personal use and teams

Enables agents to perform spaced-repetition learning with FSRS scheduling, including adding cards, reviewing due cards, and grading recall, using a headless SQLite or Postgres backend.

MCP memory server for AI agents that gets better with use

MCP server for intelligent, use-adaptive Obsidian vault search. It uses Hebbian learning and graph centrality to rank files by usage and relevance.

Gives Claude direct access to an Obsidian vault, enabling read, write, search, and automatic git sync for cross-device use.

Enables AI agents to use Obsidian vaults as persistent, bidirectional knowledge workspaces with wikilink/backlink resolution, structured frontmatter/tag indexing, task aggregation, and Obsidian Headless Sync.

Hebbian learning MCP server with neural memory graphs, eligibility traces, and three-factor reward signals. Associative memory that strengthens through use.

Provides OpenCode with adaptive long-term memory by storing preferences, lessons, and usage history locally in SQLite, enabling AI to remember and adapt to users through context-based learning.

A Model Context Protocol server for combating disinformation about Venezuela, integrating real fake news patterns with optional web search.

Enables Codex to use a local EverOS instance as long-term memory through MCP. Supports memory operations like search, get, save, and flush with automatic project ID inference.

Turn Obsidian notes into agent-ready context, preview-only plans, and safe repo handoffs.

Gives Claude persistent, local context about how you work, your weekly agenda, and shipped work, with automatic work logging and git integration—all stored privately on your machine.