"LLVM" matching MCP servers:

MCP server that completes prompts with automatic provider fallback across OpenAI, Anthropic Claude, and Google Gemini. It is rate-limit aware, retries on transient failures, and provides a transparent attempt log.

Manages brand monitoring projects, runs scans across 350+ LLMs, and analyzes results through natural language.

Atlas Cloud MCP Server enables developers to access state-of-the-art AI models for image generation, video generation, and LLMs through a unified MCP interface. Fast, scalable, and cost-efficient alternative to traditional AI providers.

A thin MCP server that delegates lightweight tasks from Claude Code or any MCP-compatible client to local or cloud LLMs via LiteLLM, supporting models like Ollama and cloud APIs as subagents.

Give your AI assistant real-time LLM/VLM knowledge. Pricing, benchmarks, and recommendations — updated every hour, not every training cycle.

Daily-verified LLM API pricing dataset (44+ models, CN & global) with a hosted MCP server for live price queries and token cost estimation.

An MCP server that lets Claude Code consult stronger AI models (o3, Gemini 2.5 Pro, DeepSeek Reasoner) when you need deeper analysis on complex problems.

Monitors brand mentions, citations, sentiment, competitor share of voice, and GEO performance across AI search engines.

Provides read-only, governance-audited operations for OLVM and oVirt 4.5 engines, enabling inventory, health, capacity, and diagnosis queries over MCP and CLI with audit logging and budget guards.

A TypeScript MCP server that gives text-only LLMs image understanding through StepFun vision models.

Provides a lightweight personal knowledge base MCP server that compiles raw materials into interconnected Wiki pages, with hybrid search (BM25, optional vector, link expansion) and tools for querying, reading, writing, and ingesting content.

Enables AI assistants to read Oracle Linux Virtualization Manager and oVirt inventory through the engine REST API, including VMs, hosts, and related details. It provides read-only tools for searching and retrieving VMs and KVM hosts.

MCP chess runtime that lets LLMs play, analyze, and adapt strength by exposing Stockfish, human move likelihood (Maia3), and Lichess statistics, with the LLM handling strategy and the server handling computation.

Provides access to Wolfram Alpha's computational knowledge engine for mathematical calculations, scientific computing, data analysis, and factual information through natural language queries.

Proxies LLM completion requests to OpenAI-compatible providers via MCP tools.

Enables AI coding agents to run multi-model council deliberations by concurrently querying OpenAI and DeepSeek for architectural planning and adversarial critique, then synthesizing the results into actionable implementation decisions.

A Model Context Protocol server that provides unified access to multiple LLM APIs including ChatGPT, Claude, and DeepSeek, allowing users to call different LLMs from MCP-compatible clients and combine their responses.

Exposes the MiniMax M3 LLM API to MCP-compatible clients, enabling chat completions, text completions, tool calls, and token counting via stdio or SSE transport.

Provides AI agents with real-time Solana data and agent-swarm intelligence as tools, with auto-paid per-call micropayments in CIRC via x402.

Route prompts intelligently across Claude, Gemini, and GPT-4o, automatically picking the best model for every task while minimizing token cost.