"IBM MCP Context Forge - Model Context Protocol Gateway Tool" matching MCP servers:

An MCP server that records agent execution metrics and exposes a Context Window Explorer to visualize exactly what entered the model's context window across sessions, tokens, and tool calls.

Enables auditing MCP servers' tools by their estimated context token cost, ranking verbose names, descriptions, and schemas before they consume the agent window. Can run as an MCP tool so agents can budget their own context.

Context window usage estimation for AI coding agents via MCP, enabling proactive state preservation before compaction.

Enables assistants to read-only explore and analyze Grafana dashboards and data sources, execute queries against Prometheus and Azure Log Analytics, and run guided investigation workflows.

Enables AI agents to integrate with IBM Storage Insights for seamless observability and diagnosis of registered storage assets. It provides tools to retrieve alerts, performance metrics, and system configurations via the IBM Storage Insights External APIs.

Enables AI agents to access real-time Windows PC context including active window, system performance, screen time, productivity analytics, and historical usage through MCP tools.

Windows tray process that exposes local ambient context (presence, foreground app, battery, etc.) as MCP tools with privacy classification and opt-in controls.

A Model Context Protocol server that connects AI agents to IBM Concert, enabling autonomous workflow health monitoring, incident diagnosis, auto-remediation, CVE triage, and Slack alerting through natural language.

Provides a read-only interface to Kubernetes clusters, enabling LLMs to list pods, get pod status and logs, fetch deployment manifests, and perform pod health analysis with resource trend tracking.

Provides unified project context and monitoring capabilities including project health metrics, build diagnostics, Git integration, and infrastructure validation to initialize development sessions with comprehensive project information.

Tracks protocol adherence and maintains audit trails for Claude sessions, providing tools for logging steps, activities, and violations, and computing compliance scores.

Enables AI clients to create and configure monitors, subscribe to their evidence streams with durable cursors, and process observations with guaranteed at-least-once delivery.

An enterprise infrastructure layer for the Model Context Protocol that provides authentication, RBAC, audit logging, and rate limiting for tool calls. It acts as a secure proxy between AI agents and MCP servers to ensure security and compliance in production environments.

Enterprise MCP gateway providing unified tools for hardware telemetry/performance benchmarking, zero-trust security auditing, AES-256-GCM encrypted storage, HMAC payload verification, and Amazon Bedrock media generation.

Secure MCP protocol proxy with OAuth2 + Dynamic Client Registration (DCR), JWT auth, RBAC, rate limiting, multi-server aggregation, and a monitoring/admin dashboard.

A Model Context Protocol (MCP) server that provides comprehensive access to IBM QRadar security intelligence platform. Query logs, events, offenses, agents, assets, and more directly from your AI assistant.

Enables secure, auditable access to Home Assistant through MCP, with a read-only observer profile and an operator profile for controlled mutations.

A minimal, security-focused MCP gateway for connecting ChatGPT to AWS account data through explicit, read-only tools.

A secure, production-grade MCP server that provides filesystem operations, AST math evaluation, and system diagnostics for LLM agents.

MCP server for writing structured traces, spans, and decisions, enabling observability and EU AI Act traceability compliance for AI agent tasks.