"Using OpenRouter to Access Available Language Models" matching MCP servers:

Enables searching, comparing, and inspecting AI models by pricing, context window, and capabilities via the models.dev catalog.

Provides AI agents with local Dutch spelling and word validation using OpenTaal/hunspell, plus detailed word information from woordenlijst.org. It enables checking full texts or individual words and retrieving linguistic details for Dutch writing tasks.

An MCP server for discovering and querying over 300 AI models available on OpenRouter. It enables users to list, search, filter, compare, and get detailed information about models with pricing, context limits, and capabilities.

Enables AI assistants to consult other AI models via OpenRouter for help with coding tasks.

Classifies development task complexity (LIGHT/MEDIUM/HEAVY) and recommends the most cost-efficient AI model per provider, enabling optimized model selection for coding tasks.

A Python MCP server that lets MCP hosts call OpenRouter models for chat, image generation, embeddings, and model search via FastMCP with .env support and retry handling.

Provides access to 400+ AI models from OpenRouter, enabling users to chat with models like GPT-4, Claude, Gemini, and Llama, compare responses across multiple models, and retrieve model information with pricing details.

An MCP server that provides access to 400+ AI models via OpenRouter, enabling chat, comparison, and document analysis through Claude.

MCP server providing a model-agnostic subagent tool backed by OpenRouter, supporting multi-model Fusion and orchestration patterns.

Turns product ideas into rendered UI screen mockups and a buildable component manifest, so downstream agents can develop real screens from the generated designs.

Gives AI assistants image generation and editing capabilities through OpenRouter, supporting multiple models, style presets, variations, and batch operations.

Enables AI coding agents to interact with TypeScript projects through compiler-level code intelligence, providing tools for navigation, type information, diagnostics, refactoring, and semantic search.

Lets a Codex parent delegate bounded work to explicitly approved OpenRouter model/provider routes with strict permission controls, selected-file review, and approval-gated artifact creation.

MCP server that lists available GitHub Models and compares responses from multiple models for the same prompt.

Enables coding agents to obtain probabilistic decisions from Jev AI via OpenRouter for classification, scoring, and validation, with tools like jev_check, jev_classify, jev_score, and jev_evaluate.

An MCP server that gives AI agents access to configured databases (PostgreSQL, MySQL, Redshift, SQL Server) with SSH/AWS SSM tunnels, pluggable secret providers, and strict per-instance isolation.

Lets Claude Code delegate tasks to OpenRouter-backed Claude Code sessions in isolated child processes, keeping Anthropic and OpenRouter credentials separate. It adds a model catalog, per-job cost tracking, and API-key management for running tasks on 400+ OpenRouter models.

Enables MCP clients to run multi-model deliberation (Fusion) via background jobs, using a panel of models and a judge to synthesize high-quality answers.

A tiny MCP server that constructs OpenRouter request bodies from presets and energy levels, with zero data retention by default, enabling routing decisions without exposing API keys.

AI-powered MCP server for file renaming, organization, and PDF splitting using natural language prompts and content analysis.