"BEM" matching MCP servers:

Provides AI agents with persistent long-term memory over MCP, extracting durable facts from conversations, storing them as plain files, and injecting ranked memories into later sessions via recall and search tools.

Lossless, categorized long-term memory for Claude Code (and any MCP client), backed by Qdrant, capturing compaction summaries across generations.

Controls a running Chrome/Chromium browser via the Chrome DevTools Protocol, enabling navigation, JavaScript evaluation, tab management, and raw CDP commands through MCP tools.

A long-horizon memory architecture for AI agents, providing a scalable, graph-based memory with causal typing and an MCP interface.

Enables querying and retrieving details of U.S. BLM geothermal leases from the MLRS database, including search and single-lease lookup.

Provides seamless integration with Capacities knowledge management system, allowing Claude to list spaces, retrieve space information, search content, save weblinks, and add content to daily notes.

Football bets mcp

A Model Context Protocol server that provides tools to interact with Adobe Experience Manager instances, allowing users to manage packages, check status, create pages, replicate content, and perform other common AEM development tasks.

Enables persistent memory for AI agents, combining episodic and semantic memory with LLM reasoning, accessible via MCP.

Talk to Okta IGA like you talk to a coworker. Import access data, discover patterns, and create entitlement bundles—all through natural conversation.

Provides persistent, graph-based memory for AI agents using Neo4j and vector embeddings, enabling semantic recall across sessions via MCP.

Persistent, auditable memory for AI agents. Hybrid BM25 + vector recall with 18 MCP tools, adaptive block metadata (A-MEM), intent-aware routing, contradiction detection, and governance workflows. Zero external dependencies. Drop-in memory for Claude Code and any MCP-compatible agent.

Persistent memory MCP server that stores and retrieves memories in Markdown files, enabling shared context across multiple AI agents with hybrid search and deduplication.

A universal MCP server providing persistent, structured memory through a knowledge graph with graph storage, semantic vector search, and multi-hop traversal for AI agents and IDEs.

About Self-hosted AI agent memory server with MCP, evidence provenance, typed claims, conflict detection, embeddings, recall, PostgreSQL, and Neo4j.

A full-featured MCP server for Adobe Experience Manager that enables non-technical users to manage AEM content, components, assets, and workflows via natural language through any MCP-compatible client.

A standalone MCP server for SAP ABAP development and customizing that connects directly to your SAP system via ADT REST API, enabling AI assistants to search, read, write, activate, transport, debug, and run quality checks on ABAP code, as well as manage customizing/IMG configurations with governed transport recording.

MCP server for the driaforall/mem-agent model that enables interaction with an obsidian-like memory system through apps like Claude Desktop or LM Studio.

An MCP server implementing memory solutions for data-rich applications using HippoRAG for efficient knowledge graph capabilities, enabling search across multiple sources including uploaded files.

Enables AI-controlled management of Apache Beam data pipelines across different runners (Flink, Spark, Dataflow, Direct) via the Model Context Protocol.