JetBrains IDE
This MCP JetBrains Proxy, developed by Leonard Buskin, provides a bridge between Large Language Models (LLMs) and JetBrains IDEs. Built with Python and leveraging libraries like aiohttp, it offers a standardized interface for LLMs to interact with JetBrains development environments. The proxy abstracts the complexities of IDE communication, enabling AI assistants to seamlessly integrate with code editing, project management, and debugging functionalities. It's particularly valuable for enhancing developer productivity, facilitating use cases such as intelligent code completion, automated refactoring suggestions, and context-aware documentation generation within JetBrains IDEs.
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 2026-09-19.
Scan details: Circle-IR · 2026-09-19 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- ai-ml
- Source
- PulseMCP
- Repository
- github.com/leobuskin/mcp_jetbrains_proxy
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve JetBrains IDE 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.