by SecretiveShell · MCP Server · ★ 918
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
MCP-Bridge MCP-Bridge acts as a bridge between the OpenAI API and MCP (MCP) tools, allowing developers to leverage MCP tools through the OpenAI API interface. [!NOTE] Looking for new maintainers to assist with the project. Reach out in the Discord or open an issue if you are interested. Additionally, Open WebUI natively supports MCP (Model Context Protocol) starting in v0.6.31, so MCP-Bridge should be considered as soft deprecated now. Overview MCP-Bridge is designed to facilitate the integration of MCP tools with the OpenAI API. It provides a set of endpoints that can be used to interact with MCP tools in a way that is compatible with the OpenAI API. This allows you to use any client with any MCP tool without explicit support for MCP. For example, see this example of using Open Web UI with the official MCP fetch tool. Current Features working features: non streaming chat completions with MCP streaming chat completions with MCP non streaming completions without MCP MCP tools MCP sampling SSE Bridge for ext
| Stars | 918 |
| Forks | 116 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 47.2/100 |
| Open Issues | 33 |
| Last Updated | 2025-12-08 |
| Created | 2024-11-30 |
| Platforms | claude-code, mcp, python |
| Est. Tokens | ~35k |
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MCP-Bridge is A middleware to provide an openAI compatible endpoint that can call MCP tools. It is categorized as a MCP Server with 918 GitHub stars.
MCP-Bridge is primarily written in Python. It covers topics such as ai, claude, mcp.
You can find installation instructions and usage details in the MCP-Bridge GitHub repository at github.com/SecretiveShell/MCP-Bridge. The project has 918 stars and 116 forks, indicating an active community.
MCP-Bridge is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to MCP-Bridge on Agent Skills Hub include archestra, Unity-MCP, arcade-mcp. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.