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Model Context Protocol servers - tools, resources, and prompts for Claude and other AI assistants.
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Showing 24 of 806 MCP tools
Infrastructure sidecar connecting AI agents to channels and tools
Cross-platform memory and ambient awareness for AI agents — knowledge store, alert collation, and intention tracking via MCP. Self-host or cloud.
MCP server for managing Business Central Docker containers - create, publish, test, backup, restore, and monitor BC dev environments using natural language.
Memory infrastructure for multi-agent AI systems. Shared, persistent, consistent knowledge for agents that need to stop forgetting.
Trust infrastructure for AI agents — constitution enforcement and cryptographic receipts. TypeScript SDK.
This is a simple Model Context Protocol (MCP) server that sends emails using AWS SES (Simple Email Service). Perfect for integrating with Cursor or Claude Desktop to compose and send emails directly without copy-pasting. The service supports both plain text and HTML emails with advanced features like CC, BCC, and reply-to functionality.
TypeScript DAG framework for orchestrating work as a directed acyclic graph of typed nodes ⦿ State machine lifecycle ⦿ Node Observability ⦿ Orchestrated by a central authority
🚀 Pelle Nyberg | CEO @ Corax CoLAB – Deep Tech Developer & Robotics Innovator bridging the gap between software and matter. Architect of GAP (IoT) and GAPbot (Hexapod Robotics). Specializing in Edge AI, Autonomous Systems, and GreenTech. Building the physical and digital infrastructure for an automated future. 🤖🌱
🛠️ Build interactive MCP widgets on Cloudflare Workers for embedding in AI chat interfaces, enhancing conversations with stateful experiences.
MCP servers for Kubernetes-based streaming platforms — read-only, structured access to infrastructure for LLM-driven diagnostics
Deploy full-stack apps directly from any AI assistant. 75+ MCP tools for projects, deployments, databases, environments, security & more.
MolTrust Protocol — AI Agent Trust Infrastructure
visual AI agent builder with multi-agent orchestration, RAG pipeline, MCP/A2A protocols, and continuous learning
Local agent infrastructure in one stdlib-only Go binary
Deliver and enforce engineering discipline with 38 proven skills and a CLI designed for real-world multi-agent CI/CD workflows.
A local-first cognitive substrate for neurodivergent professionals. Gives Claude memory, a sense of time, a translator for corporate ambiguity, and a guardrail that refuses to amplify rumination, hyperfocus, or sycophancy. MCP-native. No telemetry. AGPL-3.0-or-later. Self-ID sufficient — no diagnosis gating.
Machine-readable merchant verification infrastructure for AI shopping agents and agentic commerce systems.
RAG pipeline library for Python. Ingest files, git repos, web pages into vector databases with 3 functions: ingest(), query(), pipe(). CLI + YAML configs. Works with Qdrant, Pinecone, Ollama, OpenAI.
Every business needs AI; building the infrastructure is the hard part. SyntheticBrew gives you the whole stack — RAG, knowledge graphs, memory, tools, orchestration — plus a no-code dashboard to build, test & run agents. Upload your ▎ docs, connect your systems, and spawn agents in plain English — grounded in your business data, not guesswork.
MCP server for read-only access to Grafana instances
Trust and quality infrastructure for AI agents. 225+ quality-scored capabilities, SQS scoring, EU AI Act support.
MCP server that gives AI coding assistants production-grade engineering standards — SOLID, testing, architecture, CI/CD — for Claude, Cursor, Copilot, Windsurf, Cline & Aider
MCP-native governance layer for safe AI-driven infrastructure operations. v0.1 in development.
AI agent governance layer — sign, monitor and control every agent action. EU AI Act · ANSSI · NIST ready.