"World Health Organization" matching MCP servers:

Enables AI assistants to search, browse, and save to a semantic knowledge graph with vector search and hierarchical organization.

Enables semantic search and contextual conversations with your Calibre ebook library using vector-based RAG technology. Supports project-based organization, multi-format book processing, and OCR capabilities for enhanced content extraction and retrieval.

Enables AI assistants to save, retrieve, and manage research content using ChromaDB vector storage with semantic search, topic organization, and automatic deduplication powered by OpenAI embeddings.

Enables storing, searching, and discovering knowledge connections using associative memory, with semantic search, hierarchical organization, and cross-environment sync.

AI building world

An MCP server that provides persistent semantic memory backed by PostgreSQL and pgvector for storing and searching thoughts via vector embeddings. It enables dimensional organization, conflict detection, and historical tracking of facts, decisions, and observations.

Enables Claude AI coding assistants to persist and restore context across sessions, including saved findings, decisions, progress, checkpoints, file caches, and searchable topic channels. Supports shared memory across parallel sessions and Git-aware context organization.

Enables AI agents to persistently store and retrieve decisions, patterns, and knowledge across sessions, with workspace organization and semantic search so context survives restarts and compaction.

A narrative graph engine that enables LLMs to generate, track, and mutate complex fictional worlds while maintaining consistency between factions, characters, and locations. It acts as a specialized RAG framework for storytelling, allowing models to manage thousands of entities without exceeding context limits.

Enables storing, searching, and managing code snippets using hybrid semantic search and keyword matching with automatic language detection and tag-based organization.

Enables vector search and document retrieval, text extraction and chunking of files into Markdown, and private deep research generation through Vectorize pipelines. It connects MCP clients to a user's configured Vectorize organization and pipeline for retrieval-augmented workflows.

Enables agents to persistently record experiences, recall related episodes, run VRS convergence, and manage bounded world-state through MCP tools.

Freshness gate for AI agents: verify a belief is still true against the live world before you act.

Exposes a self-contained RAG retrieval pipeline as standard MCP tools, letting Claude Desktop, Cursor, or any MCP client run semantic search over a local knowledge base and fetch index statistics entirely offline without an external LLM. It also ships production hardening out of the box, including Bearer authentication, token-bucket rate limiting, health and Prometheus metrics endpoints, and prompt-injection defenses for retrieved content.

Enables AI agents to create, search, and manage subject matter expert profiles, including private workspace organization and moderated sharing to a common library.

An MCP server providing semantic memory storage and retrieval using vector embeddings powered by LanceDB and Google Gemini. It supports multi-tenant isolation and bucket-based organization for managing structured memories through natural language queries.

Enables intelligent RSS feed management with AI-powered semantic search, advanced filtering, and a comprehensive reading workflow. Supports OPML parsing, article organization with status tracking, and token-efficient browsing of large feed collections.

Enables AI agents to obtain structured, source-backed real-world evidence with provenance, freshness, conflicts, support levels, coverage, unresolved dependencies, and reusable integrity-checked receipts, including French company verification and beta import assessment.

Enables querying a local health knowledge base with hybrid RAG (vector + FTS5) and exploring backlinks between notes.

Enables AI agents to run and manage a worldview-agnostic interactive fiction engine, including world initialization, deterministic action resolution, SillyTavern card and lorebook imports, narration context, state tracking, and recaps.

A lightweight, AI-native server that enables GPT-based AI agents to fetch real-time customer and organization context from Zendesk APIs dynamically.

Enables Claude and other AI agents to store and automatically retrieve persistent memories across sessions, surviving restarts and context compaction. Supports self-hosting on Redis/Valkey or a managed SaaS, with workspace organization and semantic search.

Enables AI agents to run an AI-driven text interactive fiction engine by initializing a worldview from a setting, resolving player actions through academic combat, trade, social and karma models, pulling narration context, advancing turns, and tracking emergent events across million-turn campaigns with tiered memory and summaries. Also imports SillyTavern character cards and world-info lorebooks, travel and codex tracking, snapshots, and serves a read-only live status panel.

Enables MCP clients to search and ask questions about Arknights world lore through hybrid retrieval and retrieval-augmented generation, with source annotations on generated answers.

Enables semantic search and question-answering over uploaded documents using vector embeddings and Google AI. Supports document organization with tags, section-aware queries, and hierarchical markdown structure preservation.

An AI agent system that monitors manufacturing equipment health using the Model Context Protocol (MCP). Enables answering natural language questions about equipment status, maintenance, and anomalies through MCP tools.

Transforms a Medium article archive into an intelligent writing assistant for book writing, enabling content analysis, theme extraction, and chapter organization.

Provides LLM clients with OAuth-authenticated, organization-scoped access to a dbt knowledge base, enabling browsing, semantic search, and retrieval of model details such as SQL, lineage, and project structure.

Provides AI agents with persistent, searchable memory that survives across conversations using semantic search, temporal versioning, and smart organization. Enables long-term context retention and cross-session continuity for AI assistants.

MCP server for a World Cup 2026 prediction game assistant, providing tools for live game data via PostgreSQL and semantic search over football articles via RAG.