"New York Times" matching MCP servers:

Enables LLMs to search and retrieve personal journal entries using RAG, and add new entries with date filtering and multiple vector stores.

A local RAG MCP server that indexes project documentation and code into ChromaDB for semantic search, supporting multiple tech stacks and deployment modes.

Extends large language model context length up to 60 times using gravitational memory, designed for Claude Code and Anthropic AI models.

MCP server that enables semantic search over local PDF collections using local RAG, with automatic indexing of new documents.

Persistent memory for AI coding tools that captures conversations, builds a searchable knowledge graph, and automatically injects relevant context into new prompts.

Enables AI coding assistants to search reproducibly verified bug fixes, compatibility recipes, and code patches, and to submit new solutions for automated sandbox verification.

Provides persistent cross-session memory for Claude Code, enabling it to remember user preferences, decisions, and project context across new sessions.

A self-learning knowledge layer for local LLM chat that answers questions from Markdown files, writes new knowledge back every turn, and provides grounding verdicts.

Enables AI agents to store and retrieve design decisions as Markdown in git repositories, and check new proposals against historical decisions via MCP.

Provides a self-tending knowledge base for AI agents, automatically harvesting session transcripts into facts and state notes, and injecting relevant context into new sessions via MCP hooks.

Agentic NewsAPI.org MCP server with semantic search, article versioning, ChromaDB retrieval, and Supabase persistence, enabling efficient news article access and management.

Enables LLM agents to retrieve structured diagnosis plans for login issues from an OWL/SHACL/SKOS knowledge graph, returning required entities, validation sequences, and New Relic escalation details.

A remote MCP server that enables searching for news articles on specific topics through the Tavily API without requiring authentication.

BLAH - Barely Local Agent Host A new public registry that assists in ochestration of MCP servers and their tools

A template for creating MCP servers in Node.js/TypeScript with a modular architecture. It simplifies adding new tools and includes an example Elasticsearch search tool.

Enables AI agents to interact with a retail cars database using SQL queries. Supports adding new car advertisements and searching existing cars based on user preferences through natural language.

Summarizes tabular data (ambulance dispatch response times) and lets AI agents query it in natural language via MCP tools for aggregates, grouping, and trends.

Enables saving project facts as they occur and retrieving only task-relevant entries when starting new work, using Jev evaluation to rank them while preserving all stored context.

MCP server for RSS aggregation and LLM summarization, allowing users to fetch latest articles, search archives, and generate topic-specific digests via natural language.

Enables coding agents to search a local, offline archive of past sessions and repository Markdown docs using hybrid lexical and semantic retrieval, and read matching records to ground new work in prior knowledge without external calls.