JetBrains
MCP ServerFree** – Work on your code with JetBrains IDEs
Capabilities10 decomposed
mcp protocol translation to jetbrains ide http api
Medium confidenceTranslates incoming Model Context Protocol (MCP) requests from external clients into HTTP API calls to JetBrains IDE's built-in web server running on ports 63342-63352. Uses StdioServerTransport for stdin/stdout communication with clients and node-fetch for HTTP request forwarding, implementing a bridge pattern that maps MCP protocol semantics to IDE HTTP endpoints without modifying the underlying IDE behavior.
Implements a lightweight protocol bridge using StdioServerTransport and dynamic port discovery (scanning 63342-63352) rather than requiring manual IDE configuration, enabling zero-config integration with running JetBrains IDEs while maintaining full MCP protocol compliance
Simpler than building native IDE plugins for each AI client because it leverages MCP as a universal protocol layer, and more flexible than direct HTTP clients because it abstracts IDE endpoint discovery and protocol versioning
automatic ide instance discovery and port scanning
Medium confidenceDynamically discovers active JetBrains IDE instances by scanning the default port range 63342-63352 without requiring manual configuration. The proxy attempts connection to each port in sequence, detecting which IDE instances are running and their web server availability, enabling zero-config setup where the proxy automatically connects to the first available IDE or a specifically configured one via IDE_PORT environment variable.
Uses sequential port scanning from 63342-63352 with fallback to environment variable configuration, implementing a zero-config pattern that requires no IDE setup beyond running the IDE itself, unlike alternatives that require manual port mapping or configuration files
More user-friendly than requiring manual IDE_PORT configuration because it auto-detects running IDEs, and more reliable than relying on IDE configuration files because it directly probes network availability
global cli execution via npx without local installation
Medium confidenceDistributes the JetBrains MCP proxy as an NPM package (@jetbrains/mcp-proxy) that can be executed globally via npx without requiring local installation or dependency management. The binary mcp-jetbrains-proxy is compiled from TypeScript to JavaScript with executable permissions, published to NPM registry with automated CI/CD, and invoked directly from command line or integrated into Claude Desktop and VS Code configurations.
Published as a globally-executable NPM package with automated CI/CD triggering NPM publication on GitHub releases, enabling single-command execution via npx without local installation, unlike alternatives that require npm install or manual binary downloads
Faster onboarding than Docker containers because no image build is needed, and simpler than compiled binaries because it leverages existing Node.js infrastructure already present on most developer machines
environment variable-based configuration management
Medium confidenceConfigures proxy behavior through environment variables (IDE_PORT, HOST, LOG_ENABLED) rather than configuration files, enabling runtime customization without code changes or recompilation. The proxy reads these variables at startup to determine IDE connection target, network binding address, and logging verbosity, supporting both development workstations and containerized deployments with different configuration needs.
Uses environment-only configuration without configuration files, enabling seamless integration with containerized deployments and CI/CD systems that manage configuration through environment variables, while supporting dynamic IDE discovery when IDE_PORT is not specified
More container-friendly than file-based configuration because environment variables are native to Docker and Kubernetes, and more flexible than hardcoded defaults because it allows per-deployment customization without rebuilding
stdio transport for mcp protocol communication
Medium confidenceImplements the Model Context Protocol using StdioServerTransport from @modelcontextprotocol/sdk, enabling bidirectional JSON-RPC 2.0 communication over standard input/output streams. This transport mechanism allows the proxy to receive MCP requests from clients (VS Code, Claude Desktop, Docker containers) and send responses back through stdio, making the proxy compatible with any MCP client that supports stdio-based servers without requiring network socket configuration.
Uses StdioServerTransport from the official MCP SDK rather than implementing custom protocol handling, ensuring full protocol compliance and compatibility with all MCP clients while avoiding the complexity of managing network sockets
More reliable than custom protocol implementations because it uses the official SDK, and simpler than HTTP/WebSocket transports because stdio requires no network configuration or port management
http client forwarding to jetbrains ide web server
Medium confidenceUses node-fetch (version 3.3.2+) to make HTTP requests to the JetBrains IDE's built-in web server, translating MCP tool calls and resource requests into IDE HTTP API calls. The proxy constructs HTTP requests with appropriate endpoints, parameters, and headers based on MCP request semantics, handles HTTP responses, and converts them back into MCP protocol format for return to clients.
Uses node-fetch for HTTP communication rather than built-in Node.js http module, providing ES module compatibility and modern fetch API semantics while maintaining compatibility with JetBrains IDE's HTTP web server on ports 63342-63352
More maintainable than custom HTTP implementations because node-fetch is a standard library, and more compatible with modern JavaScript than legacy http module
multi-client integration patterns for vs code and claude desktop
Medium confidenceSupports multiple integration patterns enabling the proxy to work with different client types: VS Code extensions via stdio configuration, Claude Desktop via MCP server configuration in claude_desktop_config.json, and Docker containers via HTTP mode with explicit network configuration. The proxy adapts its behavior based on deployment context while maintaining consistent MCP protocol implementation across all client types.
Provides explicit integration patterns for three major deployment scenarios (local development, Claude Desktop, containerized) with documented configuration for each, rather than requiring users to discover integration patterns through trial and error
More flexible than single-client solutions because it supports multiple AI clients and deployment contexts, and more documented than generic MCP servers because it includes specific configuration examples for popular tools
typescript-to-javascript compilation with executable permissions
Medium confidenceImplements a build process that compiles TypeScript source code to JavaScript ES modules, sets executable permissions on the compiled binary (chmod +x), and publishes the result to NPM as a globally-executable command. The build pipeline ensures the dist/src/index.js entry point is executable and properly configured as the mcp-jetbrains-proxy binary in package.json, enabling seamless npx execution.
Uses TypeScript with ES modules and node: imports for modern Node.js compatibility, compiling to executable JavaScript with proper permission handling, rather than distributing TypeScript source or requiring ts-node at runtime
More performant than ts-node execution because compiled JavaScript runs directly, and more maintainable than JavaScript source because TypeScript provides type safety during development
semantic versioning with github release-triggered npm publication
Medium confidenceImplements automated CI/CD pipeline that publishes new versions to NPM registry when GitHub releases are created, using semantic versioning (major.minor.patch) to track compatibility and feature changes. The pipeline ensures version consistency between GitHub releases and NPM package versions, enabling users to pin specific versions in their configurations and automatically receive updates when using npx without version specification.
Triggers NPM publication automatically from GitHub releases rather than requiring manual npm publish commands, ensuring version consistency and enabling users to easily pin versions in their configurations
More reliable than manual publishing because it eliminates human error, and more transparent than hidden CI/CD because release events are visible in GitHub's release history
mcp sdk integration with protocol compliance
Medium confidenceIntegrates @modelcontextprotocol/sdk version 1.9.0+ to implement full Model Context Protocol compliance, including request/response handling, tool registration, and resource management. The proxy uses the SDK's StdioServerTransport and protocol handlers to ensure compatibility with all MCP clients and proper handling of MCP semantics like tool schemas, resource URIs, and error responses.
Uses the official @modelcontextprotocol/sdk rather than implementing MCP protocol from scratch, ensuring full protocol compliance and automatic compatibility with SDK updates while reducing maintenance burden
More reliable than custom protocol implementations because it uses the official specification, and more maintainable than hand-rolled JSON-RPC because the SDK handles protocol details
Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.
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core
A framework helps you quickly build AI Native IDE products. MCP Client, supports Model Context Protocol (MCP) tools via MCP server.
Best For
- ✓AI agent developers integrating JetBrains IDEs into multi-tool workflows
- ✓Teams deploying Claude Desktop or VS Code extensions that need IDE access
- ✓Organizations standardizing on MCP for AI-IDE communication
- ✓Developers working with multiple JetBrains IDE instances simultaneously
- ✓CI/CD pipelines that spawn IDE instances dynamically
- ✓Teams deploying MCP proxy in containerized environments with variable IDE availability
- ✓Individual developers wanting quick IDE integration without project setup
- ✓Non-technical users configuring Claude Desktop for IDE access
Known Limitations
- ⚠Requires MCP Server plugin installed in target JetBrains IDE — proxy alone cannot function without it
- ⚠Protocol translation adds latency for each request-response cycle due to HTTP round-trip overhead
- ⚠Limited to JetBrains IDEs with MCP plugin support — does not work with other IDE families
- ⚠Stdio transport is synchronous, blocking concurrent requests unless multiplexed at client level
- ⚠Port scanning adds startup latency (up to 11 sequential connection attempts in worst case)
- ⚠Only discovers IDEs on localhost — does not support remote IDE discovery across network
Requirements
Input / Output
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** – Work on your code with JetBrains IDEs
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