"BEM" matching MCP servers:

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

Enables comprehensive Salesforce metadata management from MCP clients, providing 221 tools for creating objects, fields, Apex, flows, LWCs, Agentforce agents, and more.

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.

Persistent memory for AI coding agents, storing learned architecture decisions, patterns, and bug fixes in a local SQLite database with full-text search, enabling agents to recall information across sessions.

Provides a unified MCP interface to interact with Codex CLI, Claude Code, and Grok API, allowing seamless switching between AI models in VS Code or Claude Code.

Lets an AI assistant read and write Jira Server/Data Center tickets via direct API access.

Model Context Protocol server for automating Firefox via WebDriver BiDi, enabling page navigation, snapshots, input, network monitoring, and console debugging for AI agents in MCP clients.

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 AI agents to manage Adobe Experience Manager instances, including OSGi bundle and component operations, configuration CRUD, health monitoring, log analysis, and Groovy script execution.

Extracts text, image links, and structural content from public Axure share pages to enable AI-powered prototype summarization. It features multi-page crawling and OCR fallback to process image-only designs for downstream LLM analysis.

Enables access to AEM block metadata by reading structured information from blocks.json files. Provides a simple tool to list available blocks with their descriptions, file paths, and counts.

MCP server that lists available GitHub Models and compares responses from multiple models for the same prompt.

Enables AI coding assistants to extract screenshots, DOM content, and structured frontend analysis from public links, including Axure prototypes.

Portable, auditable, local-first MCP memory for MCP-compatible AI agents and coding workflows. It keeps durable project memory outside the model runtime, compresses continuity into smaller working packs, and carries forward operational state so agents can resume with less repetition.

A Model Context Protocol server for Adobe Experience Manager that provides REST/JSON-RPC APIs for content, component, and asset management with AI, chatbot, and automation integrations.

Analyzes Claude Code session token usage and cost locally — where spend actually lands across cache-read, cache-write and output, and what is consuming the context window. Read-only and offline: it parses your own session files and exposes analyze_claude_cost, get_cost_benchmark and tokenscope_share_summary.

Enables AI agents to drive SECS/GEM host testing by connecting to equipment, sending SECS messages, running E30 startup conformance reports, and monitoring events and status.

Enables AI assistants to interact with VMware Workspace ONE UEM environments for device management, user administration, and system operations. Provides access to 25+ commonly used UEM APIs with support for OAuth2 authentication and bulk operations.

Enables agents to search and inspect behavioral packages from the BPM registry and install or remove them with mandatory human approval, all without leaving the agent session.

MCP server for live process memory introspection and debugging on Linux x86_64. Enables reading/writing process memory, searching patterns, ptrace attach/registers, running commands, and valgrind execution.