"HAL" matching MCP servers:

A low-hallucination vision MCP server that uses OpenAI-compatible multimodal models with structured prompts, confidence gating, and forced JSON to reduce false claims in image analysis.

An MCP server that exposes Fal.ai generative media models as tools for image and video generation, and running any Fal.ai model, callable by Claude and other MCP-compatible clients.

A Model Context Protocol server that connects AI CLI tools to multiple models for multi-model orchestration, conversation continuity, and collaborative workflows like code reviews and planning.

An MCP server that integrates with fal.ai to provide AI agents with tools for image generation, text processing, audio synthesis, and model management via a unified interface.

Detect fabrication and hallucination in any LLM output. Score responses from GPT-4o, Claude, Gemini, Llama and 30+ models. Free tier included.

MCP server for fal model discovery, execution, pricing, and local media processing, enabling AI model workflows via natural language.

A Model Context Protocol (MCP) server for interacting with fal.ai models and services, enabling listing, searching, generating content, managing queues, and uploading files.

Enables estimating LLM hallucination and confabulation by clustering sampled responses into semantic equivalence classes and computing semantic entropy. It provides a plug-and-play validation filter for agent pipelines using the MCP protocol.

Enables detecting LLM hallucinations and confabulations by clustering sampled responses into semantic equivalence classes and computing semantic entropy.

A Model Context Protocol server for discovering and documenting Fal.ai models, enabling listing, schema retrieval, and documentation generation for coding agents.

Enables users to turn a product brief into a professional ad campaign, generating a validated fal.ai workflow.json with consistent characters, sound, and subtitles while showing costs before any model runs.

An MCP server to use the fal.ai APIs to generate images and videos.

Enables deterministic auditing of RAG retrieval faithfulness and hallucination scores, providing structured JSON output for AI agents and MCP-compliant clients.

MCP server for hae — a GTD-based task management app. Gives Claude full access to your hae instance: projects, cards, columns, checklists, comments, labels, organisations, notifications, users, and AI features.

An MCP server that gives Claude access to fal.ai generative AI models for images, videos, audio, and 3D content generation and editing.

Personal MCP server that gives AI assistants full access to fal.ai's 1,000+ models via local API key, with tools for searching, running, and managing AI jobs.

Enables Claude Code to run and manage fal.ai queue jobs, including submitting generation requests, checking status, waiting for results, canceling jobs, and downloading finished media files to disk.

A Model Context Protocol server that connects multiple AI models into a single workflow, enabling multi-model orchestration, conversation continuity, and tools like code review, planning, and CLI-to-CLI bridging.

MCP-native auditor for LLM hallucination and grounding issues in RAG systems. Provides prioritized findings in table, JSON, or SARIF format for CI gating and AI agent integration.

Image generation for Claude using every model on fal.ai, inline in conversations. Supports FLUX Schnell, Ideogram, SDXL, and more with privacy option via Venice.ai.