Conda Executor
This MCP Code Executor, developed by bazinga012, enables AI assistants to execute Python code within specified Conda environments. Built using TypeScript and the Model Context Protocol SDK, it provides a secure and configurable way to run code with access to predefined libraries and dependencies. The implementation focuses on isolating code execution, allowing for flexible environment management and code storage. It's particularly useful for AI workflows that require dynamic code generation and execution, such as data analysis, algorithm testing, or automated scripting tasks, without compromising system security or managing complex runtime setups.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-28.
Scan details: Circle-IR · 2026-09-28 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- security
- Source
- PulseMCP
- Repository
- github.com/bazinga012/mcp_code_executor
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve Conda Executor from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.