coderunner
mcp-error-formatter
| coderunner | mcp-error-formatter | |
|---|---|---|
| 2 | 2 | |
| 500 | 3 | |
| 48.4% | - | |
| 8.7 | 7.0 | |
| 24 days ago | about 1 month ago | |
| Python | JavaScript | |
| Apache License 2.0 | Apache License 2.0 |
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coderunner
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OpenAI Open Models
Using LM-Studio as the frontend and Playwright-powered MCP tools for browser access. I've had success with one such MCP: https://github.com/instavm/coderunner It has a tool called navigate_and_get_all_visible_text, for example.
Here's a demo of this functionality: https://www.youtube.com/watch?v=9mLrGcuDifo
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Show HN: Mcp-use – Connect any LLM to any MCP
> MCP-Use supports running MCP servers in a sandboxed environment using E2B's cloud infrastructure.
If you want to support a local and privacy friendly sandboxed environment for code execution, you may consider something I have built, Coderunner - https://github.com/instavm/coderunner - it uses Apple's native container for hosting a jupyter server and a headless browser.
mcp-error-formatter
- Show HN: Mcp-error-formatter – Cursor-style JSON errors for any MCP/LLM tool
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Show HN: Mcp-use – Connect any LLM to any MCP
Hey thanks for the comment, the work from https://github.com/bjoaquinc/mcp-error-formatter is great. I will definitely put some version of this into one of the next releases. Just opened an issue mentioning this thread.
The problem with the package above is that it is server side, and I think it should be. Server is the one that knows (has responsibility to know) if a tool is retryable and has informations about the error, and fairly so.
I see though how some sort of improved error formatting could be introduced in the client as well, but it shouldn't contain any logic about the error, rather format the error in the best way possible (in the direction in which it is best understandable by LLMs).
What are some alternatives?
claude-code-tools - Collection of practical productivity tools for Claude Code
mcp-use-cli - mcp-use powered CLI to connect to any MCP server with any LLM, from your terminal
mcp-use - mcp-use is the easiest way to interact with mcp servers with custom agents [Moved to: https://github.com/pietrozullo/mcp-use]
agentops - Python SDK for AI agent monitoring, LLM cost tracking, benchmarking, and more. Integrates with most LLMs and agent frameworks including CrewAI, Agno, OpenAI Agents SDK, Langchain, Autogen, AG2, and CamelAI
griptape - Modular Python framework for AI agents and workflows with chain-of-thought reasoning, tools, and memory.