{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"awesome-reloaderoo","slug":"reloaderoo","name":"Reloaderoo","type":"mcp","url":"https://github.com/cameroncooke/reloaderoo","page_url":"https://unfragile.ai/reloaderoo","categories":["mcp-servers","testing-quality"],"tags":[],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"awesome-reloaderoo__cap_0","uri":"capability://tool.use.integration.transparent.json.rpc.proxy.forwarding.with.session.persistence","name":"transparent json-rpc proxy forwarding with session persistence","description":"Implements a transparent MCP protocol proxy (MCPProxy class) that intercepts and forwards all JSON-RPC messages between MCP clients and child servers without protocol modification. Uses ProcessManager for lifecycle management and maintains client connections across server restarts by preserving the proxy socket layer, enabling seamless context retention during development iterations.","intents":["I want to restart my MCP server without losing the AI client connection or conversation context","I need my MCP server changes to take effect immediately without reconfiguring the client","I want to test server modifications in real-time within an active AI session"],"best_for":["MCP server developers using VSCode, Claude Code, Cursor, or Windsurf","teams iterating rapidly on MCP server implementations","developers building custom tools for AI clients"],"limitations":["Proxy adds network hop latency (~5-10ms per message round-trip) compared to direct client-server connection","Cannot preserve in-flight RPC calls during restart — pending requests are lost","Requires child server to be spawnable as subprocess; does not support remote/network-based servers"],"requires":["Node.js 18+","MCP server implementation that can be spawned as subprocess","MCP client configured to connect to proxy endpoint (typically stdio or TCP)"],"input_types":["JSON-RPC 2.0 messages (tool calls, resource reads, prompt requests)","MCP protocol initialization messages"],"output_types":["JSON-RPC 2.0 responses","MCP protocol capability advertisements","augmented tool lists with restart_server injection"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-reloaderoo__cap_1","uri":"capability://tool.use.integration.capability.augmentation.via.restart.server.tool.injection","name":"capability augmentation via restart_server tool injection","description":"Implements CapabilityAugmenter that intercepts the server's initialize response and injects a synthetic restart_server tool into the capabilities list. When called, this tool triggers RestartHandler to spawn a new child process and seamlessly reconnect the proxy, enabling AI clients to autonomously restart the server without manual intervention or special knowledge of the underlying process management.","intents":["I want the AI to be able to restart my server when it detects changes or errors","I need a programmatic way for AI clients to trigger server restarts as part of their workflow","I want to expose server restart as a first-class capability without modifying the client"],"best_for":["developers building AI-driven MCP server management","teams using Claude Code or similar AI IDEs for MCP development","scenarios where AI agents need autonomous control over server lifecycle"],"limitations":["restart_server tool is synthetic and not part of the actual server implementation — may confuse introspection tools","No graceful shutdown hook — child process is terminated immediately, potentially losing in-flight requests","Tool injection happens at initialize time; cannot be toggled dynamically without proxy restart"],"requires":["MCP server that responds to initialize message","Proxy mode enabled (not available in CLI inspection mode)","AI client that can invoke tools (Claude, Cursor, VSCode with MCP support)"],"input_types":["MCP initialize response from child server","Tool invocation messages from client"],"output_types":["Modified initialize response with restart_server tool added","Process restart confirmation message"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-reloaderoo__cap_10","uri":"capability://automation.workflow.configuration.via.environment.variables.and.cli.arguments","name":"configuration via environment variables and cli arguments","description":"Implements ConfigurationSystem that reads settings from environment variables (MCP_SERVER_COMMAND, MCP_SERVER_ARGS, etc.) and CLI arguments, with environment variables taking precedence. Supports configuration of server command, arguments, working directory, environment variables, and transport settings. Configuration is applied at startup and affects both proxy and inspection modes, enabling flexible deployment without code changes.","intents":["I want to configure which server command reloaderoo should proxy","I need to pass environment variables or arguments to my server","I want to change the working directory or transport settings without editing code"],"best_for":["developers deploying reloaderoo in different environments","CI/CD pipelines with environment-specific configurations","teams using reloaderoo as a shared development tool"],"limitations":["Configuration is static at startup; changes require restart","No configuration file support — only environment variables and CLI args","No validation of configuration values — invalid settings fail at runtime","Environment variable names are not standardized across tools"],"requires":["Node.js 18+","Environment variables or CLI arguments"],"input_types":["environment variable (string)","CLI argument (string)"],"output_types":["configuration object (internal)"],"categories":["automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-reloaderoo__cap_11","uri":"capability://tool.use.integration.message.flow.interception.and.augmentation","name":"message flow interception and augmentation","description":"Implements message interception at the JSON-RPC level to augment capabilities, inject tools, and modify responses without altering protocol semantics. Uses middleware-style pattern where messages flow through CapabilityAugmenter and RestartHandler before forwarding to client or server. Enables non-invasive modifications to server behavior (e.g., adding restart_server tool) without modifying the server implementation or breaking protocol compliance.","intents":["I want to add capabilities to my server without modifying its code","I need to intercept and modify server responses for debugging","I want to inject synthetic tools that don't exist in the actual server"],"best_for":["developers adding debugging capabilities to existing servers","teams building proxy-based server enhancements","scenarios requiring non-invasive server modifications"],"limitations":["Message interception adds latency (~5-10ms per message)","Augmentation logic is tightly coupled to proxy implementation","No support for streaming message interception","Intercepted messages are not persisted or logged by default"],"requires":["Proxy mode enabled","MCP server with initialize response"],"input_types":["JSON-RPC messages (requests, responses, notifications)"],"output_types":["modified JSON-RPC messages"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-reloaderoo__cap_2","uri":"capability://automation.workflow.process.lifecycle.management.with.automatic.respawning","name":"process lifecycle management with automatic respawning","description":"Implements ProcessManager that handles spawning, monitoring, and respawning of child MCP server processes. Tracks process state, captures stdout/stderr, manages signal handling, and automatically respawns on crash or explicit restart request. Integrates with RestartHandler to coordinate graceful termination and reconnection, ensuring the proxy can maintain client connections across process boundaries.","intents":["I want my MCP server to automatically restart if it crashes","I need to cleanly terminate and respawn the server process without losing client state","I want to monitor server process health and logs during development"],"best_for":["developers building resilient MCP servers","teams needing automated process recovery","scenarios with frequent server code changes requiring restarts"],"limitations":["No health check mechanism — relies on process exit code to detect crashes, missing graceful degradation","Respawn logic is immediate with no exponential backoff — rapid restart loops can consume resources","Stdout/stderr capture is buffered in memory; large log volumes may cause memory pressure"],"requires":["Node.js 18+","Executable MCP server (script or compiled binary)","Proper signal handling in child process (SIGTERM support recommended)"],"input_types":["server command string","environment variables","restart trigger signal"],"output_types":["process ID","exit code","stdout/stderr logs","process state (running/crashed/restarting)"],"categories":["automation-workflow","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-reloaderoo__cap_3","uri":"capability://tool.use.integration.cli.based.mcp.server.inspection.with.stateless.command.execution","name":"cli-based mcp server inspection with stateless command execution","description":"Implements 8 inspection commands (list-tools, call-tool, list-resources, read-resource, list-prompts, get-prompt, server-info, ping) that spawn a fresh child server process per command, execute the inspection, and return JSON-formatted results. Uses SimpleClient to communicate with the spawned server via stdio, providing a stateless testing interface that requires no persistent client connection or configuration.","intents":["I want to test my MCP server tools without setting up a full AI client","I need to quickly inspect what tools and resources my server exposes","I want to call a tool and see the result from the command line for debugging"],"best_for":["solo developers building MCP servers","CI/CD pipelines testing MCP server functionality","rapid prototyping and debugging workflows","teams without access to full MCP clients (VSCode, Claude Code)"],"limitations":["Stateless execution means no session context — each command is isolated, cannot test multi-step workflows","Process spawn overhead (~100-200ms per command) makes it unsuitable for performance testing","JSON output is raw and unformatted — requires external tools for readability","No support for streaming responses or long-running operations"],"requires":["Node.js 18+","MCP server executable","Command-line access","jq or similar JSON formatter (optional, for readability)"],"input_types":["command name (list-tools, call-tool, etc.)","tool name (for call-tool)","resource URI (for read-resource)","prompt name (for get-prompt)","tool arguments (JSON)"],"output_types":["JSON-formatted tool list","JSON-formatted tool result","JSON-formatted resource content","JSON-formatted prompt","JSON-formatted server info"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-reloaderoo__cap_4","uri":"capability://tool.use.integration.persistent.mcp.server.mode.for.cli.based.tool.exposure","name":"persistent mcp server mode for cli-based tool exposure","description":"Implements optional persistent mode (inspect mcp command) that runs the inspection CLI as a full MCP server, exposing debug tools (list-tools, call-tool, etc.) as MCP tools themselves. This allows AI clients to introspect and test the child server through the inspection interface, bridging CLI inspection capabilities with full MCP client workflows by wrapping stateless commands in a persistent server wrapper.","intents":["I want to use my AI client to inspect and test my MCP server without proxy mode","I need to expose server debugging capabilities as MCP tools for AI-driven testing","I want to run inspection commands through Claude Code or VSCode without proxy overhead"],"best_for":["developers who prefer AI client-driven testing over CLI","teams using inspection mode as a testing harness exposed to AI","scenarios where proxy mode is not suitable (e.g., testing proxy itself)"],"limitations":["Each tool invocation spawns a new server process — high overhead for repeated calls","No state sharing between tool calls — cannot test workflows requiring session context","Inspection tools are synthetic and not part of the actual server — may confuse introspection","Requires client to understand inspection tool schema; no automatic discovery"],"requires":["Node.js 18+","MCP client configured to connect to inspection server","MCP server executable"],"input_types":["MCP tool invocation messages","inspection command parameters"],"output_types":["MCP tool result messages","JSON-formatted inspection output"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-reloaderoo__cap_5","uri":"capability://tool.use.integration.multi.client.compatibility.with.stdio.and.tcp.transport","name":"multi-client compatibility with stdio and tcp transport","description":"Supports multiple MCP client transports (stdio for VSCode/Cursor/Windsurf, TCP for remote clients) through configurable transport layer. Proxy mode automatically detects and adapts to the client's transport mechanism, enabling the same reloaderoo instance to work with different AI IDEs without configuration changes. Transport abstraction is handled at the JSON-RPC message level, preserving protocol semantics across transport boundaries.","intents":["I want to use reloaderoo with VSCode, Cursor, and Claude Code interchangeably","I need to support both local (stdio) and remote (TCP) client connections","I want to switch between different AI clients without reconfiguring reloaderoo"],"best_for":["developers using multiple AI IDEs (VSCode, Cursor, Windsurf, Claude Code)","teams with heterogeneous development environments","scenarios requiring remote MCP server access"],"limitations":["TCP transport requires manual port configuration and firewall rules","No authentication or encryption on TCP connections — unsuitable for untrusted networks","Stdio transport is limited to local connections; cannot be used for remote access","Transport detection is automatic for stdio but requires explicit config for TCP"],"requires":["Node.js 18+","MCP client supporting stdio or TCP transport","For TCP: open port and network connectivity"],"input_types":["stdio stream (for local clients)","TCP socket (for remote clients)"],"output_types":["stdio stream (for local clients)","TCP socket (for remote clients)"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-reloaderoo__cap_6","uri":"capability://automation.workflow.hot.reload.workflow.with.context.preservation","name":"hot-reload workflow with context preservation","description":"Orchestrates the complete hot-reload cycle: client sends restart_server tool call → RestartHandler terminates child process → ProcessManager spawns new process → proxy reconnects → client receives restart confirmation → conversation context remains intact. The entire cycle preserves the client's session state, conversation history, and context window, enabling developers to iterate on server code without losing their place in the AI interaction.","intents":["I want to modify my server code and see changes reflected immediately in my AI session","I need to restart my server without losing the conversation context with Claude or my IDE","I want to iterate rapidly on server tools while maintaining the AI's understanding of my project"],"best_for":["MCP server developers using Claude Code or Cursor for development","rapid prototyping workflows with frequent code changes","developers building complex MCP servers requiring iterative refinement"],"limitations":["In-flight RPC calls are lost during restart — clients must retry","No graceful shutdown hook — server cannot flush pending state","Context preservation is at the client level; server state is not preserved","Restart latency (~500ms-1s) may interrupt fast iteration loops"],"requires":["MCP client that supports tool invocation (Claude Code, Cursor, VSCode with MCP)","Proxy mode enabled","Server code changes must be saved to disk before restart"],"input_types":["restart_server tool invocation"],"output_types":["restart confirmation message","updated server capabilities"],"categories":["automation-workflow","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-reloaderoo__cap_7","uri":"capability://tool.use.integration.debug.tool.invocation.with.json.rpc.error.handling","name":"debug tool invocation with json-rpc error handling","description":"Implements structured tool calling for inspection commands (call-tool) with full JSON-RPC error handling, argument validation, and result formatting. Uses SimpleClient to send properly formatted JSON-RPC 2.0 tool call messages to the spawned server, captures responses, and returns structured results with error details. Supports complex argument types (objects, arrays) and preserves error context for debugging.","intents":["I want to call a specific tool with custom arguments and see the exact result","I need to debug tool failures and see detailed error messages","I want to test tool behavior with different argument combinations"],"best_for":["developers debugging MCP tool implementations","CI/CD pipelines validating tool functionality","teams testing tool behavior before deployment"],"limitations":["No support for streaming tool results — only complete responses","Argument validation is minimal; relies on server-side validation","Error messages are server-dependent; no standardization","No timeout mechanism — long-running tools can hang the CLI"],"requires":["Node.js 18+","MCP server with tool definitions","Tool name and arguments (JSON format)"],"input_types":["tool name (string)","tool arguments (JSON object)"],"output_types":["tool result (JSON)","error message (JSON-RPC error format)"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-reloaderoo__cap_8","uri":"capability://tool.use.integration.resource.and.prompt.inspection.with.content.retrieval","name":"resource and prompt inspection with content retrieval","description":"Implements inspection commands for MCP resources (list-resources, read-resource) and prompts (list-prompts, get-prompt) that query the server's resource and prompt capabilities and retrieve their content. Uses SimpleClient to send MCP protocol messages for resource/prompt discovery and content retrieval, returning structured JSON with metadata and content. Enables developers to verify resource URIs and prompt definitions without manual server inspection.","intents":["I want to see what resources my server exposes and their URIs","I need to read the content of a specific resource to verify it's correct","I want to inspect prompt definitions and their templates"],"best_for":["developers building MCP servers with resources or prompts","teams validating resource/prompt definitions","debugging resource access issues"],"limitations":["No support for resource subscriptions or streaming — only one-shot reads","Resource content is returned as-is; no parsing or validation","Prompt templates are not evaluated — returned as raw strings","No support for resource filtering or pagination"],"requires":["Node.js 18+","MCP server with resource or prompt definitions"],"input_types":["resource URI (for read-resource)","prompt name (for get-prompt)"],"output_types":["resource list (JSON array with URIs and descriptions)","resource content (raw content with MIME type)","prompt list (JSON array with names and descriptions)","prompt template (raw template string)"],"categories":["tool-use-integration","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-reloaderoo__cap_9","uri":"capability://automation.workflow.server.information.and.health.checking.via.ping","name":"server information and health checking via ping","description":"Implements server-info and ping commands that query the MCP server's metadata (name, version, capabilities) and verify connectivity. Uses SimpleClient to send MCP protocol messages and parse responses, returning structured server information and latency measurements. Enables developers to verify server availability, version, and capability list without full tool enumeration.","intents":["I want to verify my server is running and responsive","I need to check the server's name, version, and capabilities","I want to measure server latency and response time"],"best_for":["developers verifying server startup and health","CI/CD pipelines checking server availability","monitoring and diagnostics workflows"],"limitations":["Ping is a simple round-trip test; does not verify tool functionality","Server info is static metadata; does not reflect runtime state","No health check beyond connectivity — cannot detect degraded servers","Latency measurement includes process spawn overhead (~100-200ms)"],"requires":["Node.js 18+","MCP server executable"],"input_types":[],"output_types":["server metadata (name, version, capabilities)","ping latency (milliseconds)"],"categories":["automation-workflow","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":33,"verified":false,"data_access_risk":"high","permissions":["Node.js 18+","MCP server implementation that can be spawned as subprocess","MCP client configured to connect to proxy endpoint (typically stdio or TCP)","MCP server that responds to initialize message","Proxy mode enabled (not available in CLI inspection mode)","AI client that can invoke tools (Claude, Cursor, VSCode with MCP support)","Environment variables or CLI arguments","Proxy mode enabled","MCP server with initialize response","Executable MCP server (script or compiled binary)"],"failure_modes":["Proxy adds network hop latency (~5-10ms per message round-trip) compared to direct client-server connection","Cannot preserve in-flight RPC calls during restart — pending requests are lost","Requires child server to be spawnable as subprocess; does not support remote/network-based servers","restart_server tool is synthetic and not part of the actual server implementation — may confuse introspection tools","No graceful shutdown hook — child process is terminated immediately, potentially losing in-flight requests","Tool injection happens at initialize time; cannot be toggled dynamically without proxy restart","Configuration is static at startup; changes require restart","No configuration file support — only environment variables and CLI args","No validation of configuration values — invalid settings fail at runtime","Environment variable names are not standardized across tools","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.49,"ecosystem":0.49999999999999994,"match_graph":0.25,"freshness":0.52,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.15,"match_graph":0.23,"freshness":0.12}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-06-17T09:51:04.048Z","last_scraped_at":"2026-05-03T14:00:15.503Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=reloaderoo","compare_url":"https://unfragile.ai/compare?artifact=reloaderoo"}},"signature":"paDpv8iYoSPWMKvjS5YAX2yKzW0qyW3JKWphMVzv+vMFaH0Xuk6OTSjQ0t7FoHrtG3o4f3fwh/Nprdbk8ze8Dw==","signedAt":"2026-06-21T16:53:35.400Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/reloaderoo","artifact":"https://unfragile.ai/reloaderoo","verify":"https://unfragile.ai/api/v1/verify?slug=reloaderoo","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}