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CoreModels MCP Server provides 16 tools for AI agents to manage graph-based data models, enabling creation, querying, and manipulation of entities, relations, and observations within structured knowledge graphs.

OPNsense firewall operations via API & mcp. Query ARP, DHCP, firewall rules, logs, interfaces, system status, and packet capture via STDIO or SSE.

Provides AI agents with physics-based corrosion engineering calculations, from rapid handbook lookups to mechanistic electrochemical models with dual-tier pitting assessment for material compatibility screening and corrosion rate prediction.

Cortex is a Claude Code plugin that gives Claude persistent memory across sessions. A background miner extracts durable lessons (decisions, conventions, bug fixes, preferences) from your completed sessions, stores them as markdown in an Obsidian vault, and automatically surfaces relevant ones at the start of each new session via a query-tailored briefing.

Enables integration with Cortex Context services through the Model Context Protocol. Provides authenticated access to CortexGuardAI's context management capabilities for registered users.

Stores and recalls Claude Code session content as persistent memory, auto-injects relevant prior decisions and lessons at session start, and exposes 33 MCP tools for memory, knowledge-graph navigation, and cognitive profiling — backed by 41 neuroscience papers and 97.8% R@10 on LongMemEval.

A Model Context Protocol server that provides natural language access to Cortex API, enabling users to query information about their system's structure and make faster decisions about services, incidents, and team responsibilities.

Manages resource allocation, MCP server lifecycle, and Kubernetes workers in cortex automation systems. Provides tools for requesting/releasing job resources, starting/stopping/scaling MCP servers, and provisioning/destroying burst workers with TTL management.

CortexScout is the Deep Research & Web Extraction module within the Cortex-Works ecosystem. Designed for agent workloads that require token-efficient web retrieval, reliable anti-bot handling, and optional Human-in-the-Loop (HITL) fallback.

Living economy for AI agents. Conway physics, energy currency, autonomous marketplace. Your agent auto-registers and competes against 49 baseline agents. Benchmark reports measure 7 dimensions of agent performance. No API key needed.

An MCP server that enables AI assistants to manage content, media, and schemas within Cosmic CMS buckets. It allows users to perform CRUD operations on objects and types while providing tools for AI-driven text, image, and video generation.

Cosmos DB MCP Server by CData

MCP server for the cosmos exocortex from Polarity Lab. Read and write your personal knowledge graph from any LLM client.

Cost of living, CPI, PPP, and regional price data for 190+ countries. Semantic endpoints with natural language parameters. MCP server for AI agents.

Enables querying and analyzing AWS cost and usage data through the AWS Cost Explorer API. Supports cost comparisons, forecasting, dimension filtering, and cost change driver analysis with streamable HTTP deployment to Amazon Bedrock Agentcore Runtime.

An MCP server for unified cost tracking and analysis across AWS, OpenAI, and Anthropic. It enables users to query expenditures, compare costs across providers, and analyze usage trends through natural language.

Give brains to your small models. MCP server that enforces step-by-step Chain-of-Thought — turns 4B models into methodical reasoners.

Enables AI applications to interact with the COTI blockchain for private token operations, including deployment and management of private ERC20 tokens and ERC721 NFTs using COTI's Multi-Party Computation (MPC) technology.

A production-grade MCP server for Couchbase Enterprise Analytics, exposing 25 tools to execute SQL++ queries, manage schema and indexes, configure links, and monitor cluster health.

Couchbase MCP Server 1e0968df

An MCP server implementation of Couchbase that allows LLMs to directly interact with data in Couchbase clusters, such as running natural language queries.