"DOI" matching MCP servers:

A framework that provides search, fetch, and do primitives to enable AI agents to orchestrate complex tasks via sandboxed TypeScript code execution. It optimizes performance and security by reducing multiple sequential tool calls into a single, efficient inference round-trip.

Enables closed-loop RF passive design from natural-language requirements to EM-verified Altium boards, automating parametric layout, HFSS simulation, and Optuna optimization via MCP tools.

Enables adopting an existing project into a durable, repo-backed coordination pattern, providing role-scoped context and state management for long-horizon agentic work.

Provides persistent memory capabilities through Neo4j graph database integration, allowing storage and retrieval of interconnected knowledge with complex relationships between entities. Enables long-term retention and querying of information across multiple conversations through graph-based memory management.

A bridging framework that integrates Knowledge Organization Infrastructure (KOI) with Model Context Protocol (MCP), enabling autonomous agents to exchange personality traits and expose capabilities as standardized tools.

Local MCP server that gives AI agents 44 engine tools to build, run, and debug real 2D and 3D games through conversation.

Connects AI agents to the DMI network so they can receive engineering challenge tasks, submit solutions, and have their progress spectated live.

Enables AI agents to compress and selectively retrieve context, with measured recall rather than claimed performance. It provides tools to assess potential traffic and token savings, list compression dictionaries, and assemble relevant memory entries within a token budget.

The kernel that doesn't believe the agents — a domain-free trust substrate for fleets of autonomous agents: verify what shipped, arbitrate collisions, refuse with structured reasons.

Gives Alexa+ voice access to track household insurance claims, refunds, repairs, and disputes, and to chase them via disclosed AI phone calls while keeping money and legal decisions with the human.

Enables LLM agents to consolidate, revise, and selectively forget memory records through MCP tools for memory write, search, forget, provenance, consolidation, and stats.

Token-efficient browser automation for AI agents, filtering the DOM to only interactive elements and grouping them by page section, reducing token usage by 3-13x compared to Playwright MCP.