by video-db · MCP Server · ★ 46
[![Latest Number][token-length-shield]][token-length-url] [![GitHub tag (latest SemVer)][tag-shield]][ tag-url] [![Stars][stars-shield]][stars-url] [![Issues][issues-shield]][issues-url] VideoDB Agent Toolkit AI Agent toolkit for VideoDB llms.txt llms-full.txt MCP VideoDB Agent Toolkit The VideoDB Agent Toolkit exposes VideoDB context to LLMs and agents. It enables integration to AI-driven IDEs like Cursor, chat agents like Claude Code etc. This toolkit automates context generation, maintenance, and discoverability.
| Stars | 46 |
| Forks | 11 |
| Language | Python |
| Category | MCP Server |
| Quality Score | 68.1450274928993/100 |
| Open Issues | 7 |
| Last Updated | 2026-03-13 |
| Created | 2025-03-19 |
| Platforms | mcp, python |
| Est. Tokens | ~204k |
These tools work well together with agent-toolkit for enhanced workflows:
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agent-toolkit is An open-source agent toolkit that auto-syncs SDK versions, docs, and examples—built for seamless integration with LLMs, and AI agents ( MCP compatible).. It is categorized as a MCP Server with 46 GitHub stars.
agent-toolkit is primarily written in Python. It covers topics such as agent, llm, llms-txt.
You can find installation instructions and usage details in the agent-toolkit GitHub repository at github.com/video-db/agent-toolkit. The project has 46 stars and 11 forks, indicating an active community.