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Merge pull request #8186 from SebastianGilPinzon/add-colab-mcp-fork

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Add SebastianGilPinzon/colab-mcp (Code Execution)
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Frank Fiegel
2026-06-23 10:13:50 -07:00
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@@ -515,6 +515,7 @@ Code execution servers. Allow LLMs to execute code in a secure environment, e.g.
- [pydantic/pydantic-ai/mcp-run-python](https://github.com/pydantic/pydantic-ai/tree/main/mcp-run-python) 🐍 🏠 - Run Python code in a secure sandbox via MCP tool calls - [pydantic/pydantic-ai/mcp-run-python](https://github.com/pydantic/pydantic-ai/tree/main/mcp-run-python) 🐍 🏠 - Run Python code in a secure sandbox via MCP tool calls
- [r33drichards/mcp-js](https://github.com/r33drichards/mcp-js) 🦀 🏠 🐧 🍎 - A Javascript code execution sandbox that uses v8 to isolate code to run AI generated javascript locally without fear. Supports heap snapshotting for persistent sessions. - [r33drichards/mcp-js](https://github.com/r33drichards/mcp-js) 🦀 🏠 🐧 🍎 - A Javascript code execution sandbox that uses v8 to isolate code to run AI generated javascript locally without fear. Supports heap snapshotting for persistent sessions.
- [rikarazome/prolog-reasoner](https://github.com/rikarazome/prolog-reasoner) [![rikarazome/prolog-reasoner MCP server](https://glama.ai/mcp/servers/rikarazome/prolog-reasoner/badges/score.svg)](https://glama.ai/mcp/servers/rikarazome/prolog-reasoner) 🐍 🏠 🍎 🪟 🐧 - SWI-Prolog execution for LLMs with CLP(FD), negation-as-failure, and recursion. Benchmarked 90% vs 73% LLM-only accuracy on 30 logic problems. - [rikarazome/prolog-reasoner](https://github.com/rikarazome/prolog-reasoner) [![rikarazome/prolog-reasoner MCP server](https://glama.ai/mcp/servers/rikarazome/prolog-reasoner/badges/score.svg)](https://glama.ai/mcp/servers/rikarazome/prolog-reasoner) 🐍 🏠 🍎 🪟 🐧 - SWI-Prolog execution for LLMs with CLP(FD), negation-as-failure, and recursion. Benchmarked 90% vs 73% LLM-only accuracy on 30 logic problems.
- [SebastianGilPinzon/colab-mcp](https://github.com/SebastianGilPinzon/colab-mcp) [![SebastianGilPinzon/colab-mcp MCP server](https://glama.ai/mcp/servers/SebastianGilPinzon/colab-mcp/badges/score.svg)](https://glama.ai/mcp/servers/SebastianGilPinzon/colab-mcp) 🐍 🏠 🍎 🪟 🐧 - Control Google Colab notebooks and assign GPUs (T4/L4/A100) from any AI agent. Enhanced fork of Google's colab-mcp with all tools visible at startup, OAuth GPU control, and Windows support.
- [Sowiedu/Edict](https://github.com/Sowiedu/Edict) [![Sowiedu/Edict MCP server](https://glama.ai/mcp/servers/sowiedu/edict/badges/score.svg)](https://glama.ai/mcp/servers/sowiedu/edict) 📇 🏠 – Agent-first programming language: agents produce JSON AST, the compiler validates, type-checks, effect-checks, verifies contracts via Z3/SMT, and compiles to WASM. 19 MCP tools for the full compile-and-execute loop. - [Sowiedu/Edict](https://github.com/Sowiedu/Edict) [![Sowiedu/Edict MCP server](https://glama.ai/mcp/servers/sowiedu/edict/badges/score.svg)](https://glama.ai/mcp/servers/sowiedu/edict) 📇 🏠 – Agent-first programming language: agents produce JSON AST, the compiler validates, type-checks, effect-checks, verifies contracts via Z3/SMT, and compiles to WASM. 19 MCP tools for the full compile-and-execute loop.
- [telleroutlook/agentkit-js/mcp-server](https://github.com/telleroutlook/agentkit-js/tree/main/packages/mcp-server) [![telleroutlook/agentkit-js MCP server](https://glama.ai/mcp/servers/telleroutlook/agentkit-js/badges/score.svg)](https://glama.ai/mcp/servers/telleroutlook/agentkit-js) 📇 ☁️ 🏠 🐧 🍎 🪟 – Code-mode MCP server: collapses N user-defined tools into a two-tool surface (`execute_code` + `docs_search`). Backed by a unified capability manifest (`allowedHosts` / `cpuMs` / `memoryLimitBytes`) honoured across three sandbox kernels — in-process node:vm, WASM (QuickJS / Pyodide / Wasmtime), and remote microVM (E2B / Cloudflare Sandbox). Token-saving benchmark in repo CI. - [telleroutlook/agentkit-js/mcp-server](https://github.com/telleroutlook/agentkit-js/tree/main/packages/mcp-server) [![telleroutlook/agentkit-js MCP server](https://glama.ai/mcp/servers/telleroutlook/agentkit-js/badges/score.svg)](https://glama.ai/mcp/servers/telleroutlook/agentkit-js) 📇 ☁️ 🏠 🐧 🍎 🪟 – Code-mode MCP server: collapses N user-defined tools into a two-tool surface (`execute_code` + `docs_search`). Backed by a unified capability manifest (`allowedHosts` / `cpuMs` / `memoryLimitBytes`) honoured across three sandbox kernels — in-process node:vm, WASM (QuickJS / Pyodide / Wasmtime), and remote microVM (E2B / Cloudflare Sandbox). Token-saving benchmark in repo CI.
- [yepcode/mcp-server-js](https://github.com/yepcode/mcp-server-js) 🎖️ 📇 ☁️ - Execute any LLM-generated code in a secure and scalable sandbox environment and create your own MCP tools using JavaScript or Python, with full support for NPM and PyPI packages - [yepcode/mcp-server-js](https://github.com/yepcode/mcp-server-js) 🎖️ 📇 ☁️ - Execute any LLM-generated code in a secure and scalable sandbox environment and create your own MCP tools using JavaScript or Python, with full support for NPM and PyPI packages