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Implements an event-driven architecture where agents emit typed feedback payloads (execution start/end, tool invocations, code changes) that are captured and relayed through the MCP protocol without blocking agent execution.","intents":["Monitor what an AI agent is doing in real-time while it's coding","Debug agent decision-making by observing intermediate reasoning steps","Visualize tool call sequences and their results as they happen","Track code modifications and file system changes initiated by agents"],"best_for":["AI agent developers building autonomous coding systems","Teams debugging complex multi-step agent workflows","Builders creating IDE integrations or dashboards for agent monitoring"],"limitations":["Requires agents to be instrumented with Agentation feedback hooks — not transparent to existing agent code","Event payload size and frequency can create network overhead for high-velocity agent operations","No built-in buffering or replay — missed events during disconnection are lost unless agent implements local logging"],"requires":["Node.js 16+ for MCP server runtime","Agent framework with Agentation SDK integration or custom instrumentation","MCP client implementation supporting streaming transport (Claude Desktop, custom tools)"],"input_types":["structured feedback events from agent runtime","agent execution context (state, tool definitions, code snapshots)"],"output_types":["JSON-serialized feedback events","typed event streams (execution, tool-call, code-change events)"],"categories":["tool-use-integration","agent-monitoring"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-agentation-mcp__cap_1","uri":"capability://tool.use.integration.mcp.based.tool.call.interception.and.visualization","name":"mcp-based tool call interception and visualization","description":"Intercepts tool calls made by AI agents during execution and exposes them as structured MCP resources or events, allowing clients to visualize tool invocation sequences, arguments, and results in real-time. 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Implements a resource-based model where agent state snapshots are registered with the MCP server and can be queried or subscribed to for updates, providing a structured alternative to log-based debugging.","intents":["Query the current state of a running agent without interrupting it","Retrieve historical snapshots of agent reasoning and decisions","Access the code changes an agent has made during a session","Build state-aware visualizations of agent progress"],"best_for":["Builders creating agent monitoring dashboards","Developers integrating agent execution into IDEs or editors","Teams needing audit trails of agent decisions and code modifications"],"limitations":["State snapshots consume memory proportional to codebase size and execution history depth","No built-in state persistence — requires external storage for long-running agents","State queries may block if agent is performing heavy computation; no async state access pattern documented"],"requires":["MCP client with resource query support","Agent framework that exposes execution context (current task, reasoning, file state)","Sufficient memory to store state snapshots for the execution duration"],"input_types":["agent execution context (task, reasoning, code state)","resource query parameters (state type, timestamp, scope)"],"output_types":["JSON-serialized agent state snapshots","structured execution history","code change diffs"],"categories":["memory-knowledge","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-agentation-mcp__cap_3","uri":"capability://code.generation.editing.code.change.tracking.and.diff.visualization","name":"code change tracking and diff visualization","description":"Tracks file modifications made by AI agents during execution and exposes them as structured diffs or change events through MCP, enabling clients to visualize code changes in real-time or retrieve historical diffs. Implements file system monitoring or hooks into agent code-writing operations to capture before/after snapshots and compute diffs, which are then serialized as MCP events or resources.","intents":["See what code changes an agent is making as it works","Review diffs of agent modifications before they're committed","Build IDE integrations that highlight agent-generated code","Audit all code changes made by an agent during a session"],"best_for":["Developers integrating agents into code editors","Teams using agents for code generation and wanting change visibility","Builders creating agent code review tools"],"limitations":["Diff computation overhead scales with file size and change frequency","Cannot track changes made outside the agent's instrumented code-writing layer (e.g., direct file system writes)","Large codebases may generate high-volume change events, requiring client-side filtering or aggregation"],"requires":["Agent framework with code-writing operation hooks","MCP client capable of rendering diffs or change events","File system access or code snapshot capability in agent runtime"],"input_types":["code write operations (file path, content before, content after)","file snapshots at different execution points"],"output_types":["unified diff format (unified diff, JSON patch)","structured change events (file, operation type, line ranges)","syntax-highlighted code snapshots"],"categories":["code-generation-editing","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-agentation-mcp__cap_4","uri":"capability://planning.reasoning.agent.execution.lifecycle.event.streaming","name":"agent execution lifecycle event streaming","description":"Streams typed events representing agent execution lifecycle stages (start, step, tool-call, reasoning, completion, error) through MCP, allowing clients to build state machines or progress indicators based on agent activity. Implements an event emitter pattern where agents emit lifecycle events at key execution points, which are captured and relayed as structured MCP events with timestamps and contextual metadata.","intents":["Track when an agent starts, completes, or fails a task","Build progress indicators showing agent execution stages","Detect agent errors or unexpected behavior in real-time","Correlate agent events with external system events for debugging"],"best_for":["Builders creating agent progress dashboards","Teams monitoring agent reliability and performance","Developers building agent orchestration systems with error handling"],"limitations":["Event ordering may be non-deterministic if agent uses async operations; clients must handle out-of-order events","No built-in event filtering or sampling — high-frequency agents may generate overwhelming event volume","Lifecycle event schema is agent-framework-specific; no standardized event format across different agent implementations"],"requires":["Agent framework with lifecycle event emission support","MCP client with event subscription capability","Timestamp synchronization between agent and client for accurate event correlation"],"input_types":["lifecycle events from agent runtime (start, step, tool-call, completion, error)","event metadata (timestamp, execution context, error details)"],"output_types":["typed event objects (execution-start, execution-step, tool-call, execution-end, execution-error)","event streams with timestamps and context"],"categories":["planning-reasoning","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-agentation-mcp__cap_5","uri":"capability://tool.use.integration.mcp.server.initialization.and.agent.integration.scaffolding","name":"mcp server initialization and agent integration scaffolding","description":"Provides boilerplate and configuration utilities for initializing an MCP server instance that connects to AI agents, handling transport setup (stdio, SSE, WebSocket), resource registration, and event subscription management. Implements a factory pattern where developers configure agent feedback hooks and MCP transport options, and the server automatically wires up event handlers and resource endpoints without requiring manual MCP protocol implementation.","intents":["Set up an MCP server for agent monitoring without writing MCP protocol code","Configure which agent events and state to expose via MCP","Choose transport mechanism (stdio for CLI, SSE/WebSocket for web clients)","Integrate agent feedback hooks into existing agent frameworks"],"best_for":["Developers new to MCP who want to expose agent feedback quickly","Teams building agent monitoring tools and needing MCP transport abstraction","Builders integrating agents into existing MCP-based systems"],"limitations":["Scaffolding assumes a specific agent feedback API shape; custom agent frameworks may require adapter code","Transport configuration is static at server startup; no dynamic transport switching during runtime","Limited to Node.js runtime; no Python or other language bindings documented"],"requires":["Node.js 16+","Agent framework compatible with Agentation feedback API","MCP client implementation for consuming exposed resources/events"],"input_types":["agent feedback hook configuration","MCP transport options (stdio, SSE endpoint, WebSocket URL)","resource and event schema definitions"],"output_types":["initialized MCP server instance","registered MCP resources and subscriptions","transport-specific connection details"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":24,"verified":false,"data_access_risk":"high","permissions":["Node.js 16+ for MCP server runtime","Agent framework with Agentation SDK integration or custom instrumentation","MCP client implementation supporting streaming transport (Claude Desktop, custom tools)","Agent framework with tool execution lifecycle hooks or middleware support","MCP client capable of receiving and rendering tool call events","Tool definitions must be schema-compatible with MCP resource format","MCP client with resource query support","Agent framework that exposes execution context (current task, reasoning, file state)","Sufficient memory to store state snapshots for the execution duration","Agent framework with code-writing operation hooks"],"failure_modes":["Requires agents to be instrumented with Agentation feedback hooks — not transparent to existing agent code","Event payload size and frequency can create network overhead for high-velocity agent operations","No built-in buffering or replay — missed events during disconnection are lost unless agent implements local logging","Requires agent framework to expose tool execution hooks — not all frameworks support this","Tool call interception adds latency proportional to event serialization and MCP transport overhead","Cannot intercept tools that bypass the standard execution layer (e.g., direct subprocess calls)","State snapshots consume memory proportional to codebase size and execution history depth","No built-in state persistence — requires external storage for long-running agents","State queries may block if agent is performing heavy computation; no async state access pattern documented","Diff computation overhead scales with file size and change frequency","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.22,"ecosystem":0.3,"match_graph":0.25,"freshness":0.6,"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":"2026-05-24T12:16:23.903Z","last_scraped_at":"2026-05-03T14:23:52.216Z","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=npm-agentation-mcp","compare_url":"https://unfragile.ai/compare?artifact=npm-agentation-mcp"}},"signature":"a+qlTJU/K5GZVPyTwwAprdDBqU2kBvIKMrJBknUB5w665h2S9PXm3rUdEDdDdT4euzjC2KMC7Nf4GHiq2KfxAQ==","signedAt":"2026-06-21T23:48:19.115Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/npm-agentation-mcp","artifact":"https://unfragile.ai/npm-agentation-mcp","verify":"https://unfragile.ai/api/v1/verify?slug=npm-agentation-mcp","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"}}