"ANB - Acronym or Organization Lookup" matching MCP servers:

Enables semantic search across documents and code repositories using RAG (Retrieval-Augmented Generation) with vector embeddings. Automatically indexes PDF documents and performs relevance-scored lookups through ChromaDB and sentence transformers.

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

Enables searching and retrieving content from Grokipedia, with tools for page lookup, citations, sections, and related pages.

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.

MCP server for searching, browsing, and analyzing decompiled Minecraft source code locally. Supports symbol lookup, text search, reference lookup, and lightweight RAG.

Provides agricultural intelligence tools for pest/disease lookup, government scheme discovery, and SME knowledge retrieval via semantic search.

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.

AI customer support MCP server with order status lookup and RAG-powered knowledge base search for e-commerce stores.

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

Indexes GraphQL schemas using embeddings to enable semantic search of types and fields for fast lookup. It allows LLMs to discover relevant schema signatures and execute queries against live GraphQL endpoints.

MCP server for a wealth advisory assistant that enables client portfolio lookup, research search, compliance rule checks, and briefing synthesis via auditable agent tools.

Routes each coding task to the best-fitting spec-driven-development framework with explainable rules, then enforces deterministic lifecycle gate checks between phases so progress can't skip required artifacts or evidence. Assembles per-phase context packs from a company knowledge base with app-scoped memory and cross-app lookup, while the host agent remains the only actor that edits files or runs tests.

Enables semantic and keyword search of Ceph documentation with version-aware, component-scoped indices, supporting command lookup and code example retrieval.

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

Enables MCP-compatible agents such as Claude and Cursor to retrieve permission-aware, structured context from local or hosted data stores. Exposes tools for semantic search, entity and relationship lookup, memory access, context pack compilation, source attribution, and retrieval explanation.

Enables document search, record lookup, and text analysis over MCP with scoped permissions and LangGraph agent orchestration, served via FastAPI.

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 coding agents to index and search multi-project codebases through semantic and full-text retrieval, symbol lookup, and reference search via a local MCP endpoint.