mcp-time-travel
MCP ServerFreeRecord, replay, and debug MCP tool call sessions
Capabilities5 decomposed
mcp tool call session recording with deterministic replay
Medium confidenceRecords all MCP tool invocations, their arguments, and responses into a persistent session log that can be replayed deterministically without re-executing the actual tools. Uses a tape-based recording mechanism that captures the full call graph of tool interactions, enabling bit-for-bit reproduction of agent behavior across multiple runs without external side effects or API calls.
Implements tape-based recording specifically for MCP protocol tool calls, capturing the full call graph and enabling replay without re-executing tools — a pattern borrowed from VCR-style HTTP mocking but adapted for the MCP function-calling abstraction layer
Lighter-weight than full agent state snapshots because it only records tool I/O, not internal LLM reasoning or memory state, making it faster to record and replay than alternatives like agent trace logging
session-based tool call debugging with input/output inspection
Medium confidenceProvides structured inspection of recorded tool call sessions, allowing developers to examine the exact inputs sent to each tool and the outputs received, with the ability to filter, search, or step through the call sequence. Implements a query interface over the session log that exposes tool call metadata (timestamps, arguments, return values, error states) without requiring re-execution.
Provides MCP-native debugging by exposing tool call I/O at the protocol level, rather than requiring integration with generic LLM tracing tools — enables inspection of tool schemas, argument validation, and response parsing without agent-specific instrumentation
More focused than full agent tracing because it isolates tool call behavior from LLM reasoning, making it easier to identify whether issues are in tool integration vs. agent decision-making
replay-driven agent testing without external tool execution
Medium confidenceEnables running an MCP agent against a pre-recorded session of tool calls, returning the recorded responses instead of executing the actual tools. Implements a mock tool layer that intercepts MCP tool invocations and serves responses from the session log, allowing agents to be tested in isolation without network calls, API keys, or side effects.
Implements replay as a transparent mock layer in the MCP protocol stack, allowing agents to run unmodified against recorded tool responses — avoids the need for test-specific agent code or dependency injection frameworks
Simpler than mocking individual tools because it operates at the MCP protocol level, capturing the full tool call contract rather than requiring per-tool mock definitions
session export and format conversion for tool call data
Medium confidenceExports recorded MCP tool call sessions to standard formats (JSON, CSV, or other interchange formats) for use in external tools, documentation, or analysis pipelines. Implements a serialization layer that transforms the internal session representation into portable formats, enabling integration with observability platforms, data warehouses, or audit systems.
Provides format-agnostic export of MCP tool call data, enabling integration with external observability and analytics systems without requiring custom parsing logic for each downstream tool
More portable than proprietary agent tracing formats because it converts to standard data interchange formats that work with existing data pipelines and BI tools
session comparison and diff analysis for agent behavior changes
Medium confidenceCompares two recorded MCP sessions to identify differences in tool call sequences, arguments, or responses, enabling detection of regressions or behavior changes between agent versions. Implements a diff algorithm that aligns tool calls across sessions and highlights additions, removals, or modifications in the call graph.
Implements session-level diff specifically for MCP tool call graphs, enabling comparison of agent behavior without requiring access to agent code or internal state — operates purely on the tool I/O contract
More targeted than general code diff tools because it understands MCP tool call semantics and can align calls by function name and argument structure rather than line-by-line text matching
Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.
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web-agent-protocol
🌐Web Agent Protocol (WAP) - Record and replay user interactions in the browser with MCP support
Best For
- ✓MCP server developers debugging multi-tool agent workflows
- ✓Teams building LLM agents who need reproducible test fixtures for tool interactions
- ✓Solo developers iterating on agent behavior without incurring repeated API costs
- ✓MCP server developers troubleshooting tool integration issues
- ✓QA engineers validating agent behavior against expected tool call sequences
- ✓Developers building observability dashboards for MCP-based agents
- ✓CI/CD pipelines running agent tests without external service access
- ✓Developers testing agent error handling and retry logic against synthetic tool failures
Known Limitations
- ⚠Recording overhead adds latency to each tool call (exact overhead unknown from package metadata)
- ⚠Replay is deterministic only if tools are pure functions — side effects outside the MCP protocol are not captured
- ⚠No built-in filtering or sampling — records all tool calls, which can create large session files for long-running agents
- ⚠Requires explicit session management — no automatic session lifecycle handling
- ⚠Inspection is read-only — cannot modify recorded tool calls or responses in-place
- ⚠No built-in visualization — output format depends on implementation (likely CLI or JSON API)
Requirements
Input / Output
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Record, replay, and debug MCP tool call sessions
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