"RAG (Retrieval-Augmented Generation) MCP Integration for ChatGPT" matching MCP servers:

MCP server that exposes a single tool to retrieve ChatGPT/Codex quota via the signed-in Codex CLI, reporting rate-limit windows and usage percentages.

Enables LLMs to interact with Kibana through composable toolboxes for building dashboards, managing data, and handling alerts, among other operations.

Enables querying daily and date-range token usage, recording exact API usage, estimating tokens, and retrieving tracker info through MCP tools.

Enables alarm investigation through MCP tools for asset search, metadata lookup, alarm retrieval, summarization, priority scoring, and operator recommendations, with RAG-backed evidence from procedure documents.

An unofficial MCP server that connects AI assistants to Akamai APIs, providing tools for edge diagnostics, debugging, and network analysis.

Enables AI agents to interact seamlessly with Splunk environments through 20+ tools for search, analytics, data discovery, administration, and health monitoring. Features AI-powered troubleshooting workflows and supports multiple Splunk instances with production-ready security.

Shows your current Claude Desktop activity as Discord Rich Presence, including model, status, usage, and subscription info.

MCP server that integrates with VictoriaMetrics vmanomaly API to enable AI-assisted anomaly detection, model management, and configuration generation.

Brings live project context into Slack via MCP, enabling developer teams to check service health, recall team decisions, search code, and query project context directly from chat.

Enables interaction with CCTV recording systems (VMS) to retrieve live and recorded video streams, control cameras with PTZ presets, and manage playback dialogs for specific channels and timestamps.

Gives your AI assistant full control of a Discord server: 148 tools for chat, moderation, automod, events, and administration, up to building a complete community server from one paragraph. Every destructive action previews first and waits for your confirmation.

MCP Server for notify to telegram / weixin

An MCP server implementation that integrates AI assistants with Langfuse workspaces, allowing models to query LLM metrics by time range.

Bridges AI models with WinDbg to analyze Windows crash dumps and perform remote debugging through natural language queries, enabling execution of debugger commands and automated crash analysis.

A standalone Python/FastAPI server that implements the Model Context Protocol (MCP) for the OPTIX threat intelligence platform. It exposes 26 analyst-friendly tools that AI assistants and programmatic consumers can use to query threat feeds, search documents and indicators, manage watchlists, triage IOCs, generate detection rules, trigger AI research, and produce intelligence reports.

Enables AI clients like Claude to triage, investigate, and operate Icinga installations through natural language, integrating with Icinga's REST APIs and providing deep awareness of monitoring plugins and historical performance data.

Enables plant operators to query alarm data, asset information, trends, correlations, and operator recommendations through 14 tools, forming a core part of a multi-MCP enterprise operations copilot.

Provides tools to search Splunk logs, inject test data, and send triage emails, enabling AI-driven incident investigation.

A security-hardened, read-only MCP server that authenticates service and user identities, enforces factory-level access grants, and audit-logs every tool call before dispatching read-only plant overview queries.

A remote MCP server that provides AI agents access to the Rootly API for incident management, allowing users to query and manage incidents, alerts, teams, services, and other incident management resources through natural language.