A text-based user interface (TUI) client for interacting with MCP servers using Ollama. Features include agent mode, multi-server, model switching, streaming responses, tool management, human-in-the-loop, thinking mode, model params config, MCP prompts, custom system prompt and saved preferences. Built for developers working with local LLMs.
Cross-referenced across 55 tracked directories
#3815
Popularity Rank
3 / 55
Listed In
Growing
Adoption Stage
4/23/2025
Created
832
GitHub Stars
126
Forks
5,024
Monthly Downloads
18
Open Issues
10/13/2026
Last Commit
Gaining traction in the ecosystem
Cross-Posting Opportunities
Could also be listed in these directories:
Score: 100/100
0 dependency vulnerabilities found
omega-memory
🐍 🏠 🍎 🪟 🐧 - Persistent memory for AI coding agents with semantic search, auto-capture, cross-session learning, and intelligent forgetting. 12 MCP tools, local-first.
...moredesiorac
Scans codebases for AI framework usage (16 frameworks) and checks compliance against EU AI Act requirements. Features 4-tier risk categorization, GDPR compliance checking, report generation, and compliance document templates.
...moreantonio-mello-ai
- **Name**: mcp-proxmox - **GitHub**: https://github.com/antonio-mello-ai/mcp-proxmox - **PyPI**: https://pypi.org/project/mcp-proxmox/ - **Description**: MCP server for managing Proxmox VE clusters. 22 tools for discovery, lifecycle, provisioning, snapshots, backup/restore, storage, network, resize, monitoring, and command execution. - **Language**: Python - **Install**: `uvx mcp-proxmox` or `pip install mcp-proxmox` - **Configuration**: ```json { "mcpServers": { "proxmox": { "command": "uvx",
...moreirparent
MCP-native agent evaluation and observability server for AI agents