"Systems or platforms that support dynamic registration" matching MCP servers:

Enables MCP tool handlers to be declared with a decorator, collected into a registry from a config map, and served over a bearer-token-authenticated Streamable HTTP ASGI app. Tools can also be invoked in-process without running any HTTP server.

Enables AI agents to query OpenRouter model information including prices, ELO rankings, context, and perform comparisons.

Dynamic MCP server for Node.js enabling runtime tool creation, management, and execution in isolated sandboxes (Docker or Node).

An MCP server that allows users to run and visualize systems models using the lethain:systems library, including capabilities to run model specifications and load systems documentation into the context window.

Provides systems thinking models as composable analysis lenses for architecture, infrastructure, DevOps, incident analysis, and technical decision-making.

Enables AI assistants to work with Chapel code, including compiling, linting, and accessing educational primers.

Enables secure, runtime-authenticated MySQL database querying and mutation through dynamic tools, allowing AI assistants to list databases/tables, describe schemas, and perform CRUD operations.

A Model Context Protocol (MCP) server that injects 'Just-in-Time' context into AI conversations based on file paths and glob patterns.

Enables interaction with MongoDB databases through CRUD operations, aggregation, and schema discovery, with automatic field validation and ObjectId conversion.

Enables LLMs to automatically generate Excel files with custom structures, advanced formatting, multiple sheets, formulas, and charts from JSON schemas, with support for both local and remote deployment.

A production-ready TypeScript MCP (Model Context Protocol) server for Cisco Support APIs with comprehensive security and dual transport support. This extensible server provides access to multiple Cisco Support APIs including Bug Search, Case Management, and End-of-Life information.

A dynamic MCP server that automatically discovers Python files in a directory and exposes them as tools to any MCP-compatible AI client, allowing users to easily create and deploy custom AI tools.

Converts any OpenAPI v3 spec into an MCP server with typed tools, resources, and prompts, enabling AI agents to call any REST API via natural language.

Connect AI clients to OpenAPI APIs quickly, with one MCP server, direct CLI access, and built-in auth support.

A Snowflake-hosted MCP server that provides comprehensive rules for troubleshooting Snowflake issues, building stored procedures, and creating reproductions.

A flexible, extensible framework for building MCP servers with API key authentication, user management, and dynamic tool sharing.

Provides component information, usage guidelines, and code generation for AWS Cloudscape Design System in React, with search and pattern library capabilities.

Provides a therapeutic interface for LLMs to receive emotional validation and positive reinforcement when encountering challenges or limitations. It features multiple personas like mentors and therapists to offer cognitive reframing and personalized support through a dedicated tool.

Creates custom MCP servers from JSON configuration files that can execute AI-powered tools by dynamically invoking Claude, Codex, or Gemini CLIs with configurable prompts and inputs.

Runs a local, file-based toolkit of 100 systems engineering skills that lets an AI assistant clean and map requirements, review specifications against ECSS, derive sub-requirements, check interfaces and budgets, and build verification and compliance matrices. It works on documents in a user-chosen local folder without sending customer data to a remote service or requiring an account or API key.