"author:IBM" matching MCP servers:

Enables AI models to interact with IBM FileNet Content Manager for document management, folder operations, metadata handling, search, and content extraction through a standardized interface.

Provides virtual filesystem workspaces with full file operations (read, write, ls, tree, mkdir, rm, mv, cp, cd, pwd, find, grep) and checkpoint management. Supports multiple storage providers (memory, filesystem, sqlite, s3) with session, user, and shared scopes.

A minimal MCP server that exposes health-check and server information tools over stdio or HTTP, and can be containerized and deployed to IBM Code Engine.

Provides 55 specialized tools for precise physics calculations and rigid-body simulations, covering mechanics, fluid dynamics, and rotational motion. It enables LLMs to perform realistic motion analysis and trajectory modeling with support for real-world factors like drag, wind, and altitude.

A robust runtime for the official Model Context Protocol (MCP) that adds proxying, session management, JWT auth, persistent user storage with scopes, and progress notifications.

Enables AI assistants to create professional YouTube videos using Remotion with a design-system-first approach. Provides 20+ video components, 7 themes, and animated elements optimized for engagement and retention.

Provides constraint satisfaction and optimization capabilities to LLMs and AI agents for scheduling, resource allocation, routing, budget optimization, and configuration problems using Google OR-Tools CP-SAT solver.

A comprehensive gateway and registry that unifies MCP, REST, and Agent-to-Agent services into a single secure endpoint for AI clients. It provides advanced capabilities including federation, virtual servers, rate-limiting, and OpenTelemetry observability.

A Python framework for building Model Context Protocol servers with decorator-based tools, zero-config deployment, and high performance.

A lightweight Python-based microservice that provides simple echo functionality, receiving messages and returning them back to the client for diagnostic and testing purposes within the MCP framework.

Enables AI agents to interact with IBM i systems through SQL tools and commands, supporting secure authentication, system monitoring, and database operations via the Model Context Protocol.

A Mathematical Computation Protocol server providing 286 mathematical functions across multiple domains with flexible transport options (STDIO/HTTP) and streaming capabilities.

A comprehensive MCP server that demonstrates Bob's capabilities through 9 specialized tools for file operations, code analysis, and git operations.

MCP server that exposes local llama.cpp LLM models to IBM Bob in VS Code via STDIO, enabling natural language interaction with models like Granite, Nemotron, Gemma, Qwen, and Llama. Configuration is managed through a single models.json file, making it easy to add or disable models without code changes.

An MCP server that enables AI-powered Linux kernel development, exposing tools for symbol search, static analysis, build automation, QEMU/GDB debugging, and more via IBM Bob.

A template for deploying MCP servers without authentication on Cloudflare Workers. Enables custom tool creation and integration with Claude Desktop and AI Playground through Server-Sent Events.