MCP Support Merged into llama.cpp with New WebUI Features

The Model Context Protocol (MCP) pull request for llama.cpp has been merged into the main repository. This integration adds MCP support to the llama-server and WebUI components, enabling several new capabilities for AI coding agents and local LLM workflows.
Key Features Added
According to the source material, this merge unlocks the following functionality:
- MCP support for llama-server/WebUI
- Tool calls capability
- Agentic loop implementation
- Server selector functionality
- Resources management
- Prompt attachments
- File/resource browser
- Backend CORS proxy enabled with
--webui-mcp-proxyflag
Technical Details
The specific pull request that was merged is PR #18655 in the llama.cpp repository. The contributor mentions using OpenWebUI in combination with llama.cpp WebUI and was anticipating this merge.
For developers working with local LLMs and AI coding agents, this integration means you can now use MCP-compatible tools directly through the llama.cpp WebUI interface. The --webui-mcp-proxy flag enables CORS proxy functionality for the backend, which is particularly useful for web-based interfaces.
This update is primarily for developers who use llama.cpp for local LLM inference and want to integrate MCP-compatible tools into their workflow through the WebUI interface.
📖 Read the full source: r/LocalLLaMA
👀 See Also

SubQ: A Sub-Quadratic LLM with 12M-Token Context Window
SubQ is a fully sub-quadratic sparse-attention LLM offering a 12M-token context window at 150 tokens/s, with SWE-Bench Verified 81.8% and RULER @ 128K 95.0%. It reduces attention compute ~1000× compared to transformers.

quorum: AI Code Governance Tool Enforces Independent Model Review
quorum is a governance layer for AI-assisted development that enforces a consensus protocol requiring code to be independently reviewed by a different model before committing. It includes three structural gates that block progress: audit, retro, and quality gates.

Using Claude to Extract Data from a 1997 Football Manager Game
Ben Nuttall used Claude to extract player, team, and stadium data from FIFA Soccer Manager 97. The AI parsed the SM97.DAT file, exported CSV, and built a searchable website. All Python code is on GitHub.

Integrating Local LLM Agents with ComfyUI for Natural Language Batch Image Generation
A developer shares how they wired their local OpenClaw agent to ComfyUI, enabling natural language commands for batch image generation workflows. The integration uses a custom agent skill that maps English requests to ComfyUI workflow JSON and handles API communication.