"App Store" matching MCP servers:

Read-only MCP bridge for searching and browsing RikkaHub app conversations through its Web API.

Connects GPT-4 to a merchant store API, allowing users to query and manage store data for the Tnc_Store merchant through natural language interactions.

Enables LLMs to interact with Rememberizer Vector Store for semantic search, document creation, deletion, and modification.

A lightweight, local RAG memory store for MCP agents that enables recording, retrieval, updating, and visualization of persistent memories across runs.

Helps developers tackle legacy codebases by giving AI coding assistants context through Qdrant vector store and Agentic RAG with Ollama or DeepSeek.

Enables Claude Code to query and store memories from past conversations using FTS5 search and topic-based retrieval, with no API costs.

Persistent memory for AI agents. Store and semantically search memories via REST API or MCP. Free tier available.

Provides a local vector memory store for AI agents with semantic search, offline embeddings, and MCP integration, enabling tools like Claude and Cursor to store and retrieve information without cloud dependencies.

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

Enables document ingestion and typed knowledge graph queries through Claude MCP tools, allowing agents to extract, store, and retrieve typed entities and relations from documents.

Provides semantic search and knowledge base management for the micro-app micro-frontend framework by ingesting its source code and documentation.

Provides a drop-in MCP memory server over stdio using a local SQLite store, enabling agents to store, search, and audit memory with provenance, scoped access, and contradiction tracking without requiring API keys, LLMs, or embedding providers.

Enables AI agents to store, search, and manage a local vector database for RAG knowledge retrieval and long-term memory, powered by zvec.

An MCP server that gives AI coding assistants access to up-to-date API documentation via RAG by crawling documentation sites, indexing them into a vector store, and enabling semantic queries.

Upload Word, Excel, PDF, or PowerPoint documents to a vector RAG store with vision-model extraction, then search semantically and retrieve chunks with page numbers for precise citations.

MCP server that indexes Markdown files into a local SQLite vector store and provides semantic search tools for Claude Code.

Enables interaction with the Sond Core API through the Model Context Protocol. Auto-generated from the OpenAPI specification at https://core-api-lb.sond.com/api-json to provide programmatic access to Sond's services.

Enables Claude to query and store private company notes through a MCP connector, using local embeddings and Groq/Claude for reasoning.

A standalone MCP server enabling semantic search over Queensland and Commonwealth legislation stored in a ChromaDB vector store.

Enables agents to store conversational turns in a single SQLite store and recall relevant context through lexical, entity, dense, and recent views without an LLM in the recall loop. It exposes MCP tools for remembering, bulk ingest, recall, stats, and session deletion, with persistent indexes and zero-token maintenance.