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Trace Forge

mdfifty50-boop/trace-forge-mcp
STDIOregistry active
Summary

Gives Claude write access to create structured execution traces with spans, tool calls, and decision logging. You get six tools: trace_start to begin tracking an agent task, trace_span for nested work units, trace_tool_call to log each tool invocation with duration and cost estimation, trace_decision to record reasoning and alternatives considered, trace_end to finalize with automatic metrics, and get_trace plus search_traces for retrieval. Stores everything locally via stdio transport. Built specifically for EU AI Act Article 14 compliance, which mandates traceability for high-risk AI systems starting August 2026. The only observability MCP that writes data instead of just reading it.

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trace-forge-mcp

MCP server for writing structured traces, spans, and decisions. The only write-path observability MCP — all 9 existing observability MCPs are read-only.

Built for EU AI Act traceability compliance (Article 14, due August 2026).

Install

npx trace-forge-mcp

Claude Desktop

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "trace-forge": {
      "command": "npx",
      "args": ["trace-forge-mcp"]
    }
  }
}

From source

git clone https://github.com/mdfifty50-boop/trace-forge-mcp.git
cd trace-forge-mcp
npm install
node src/index.js

Tools

trace_start

Begin a new trace for an agent task.

ParamTypeRequiredDescription
agent_idstringyesUnique agent identifier
task_descriptionstringyesWhat the agent is doing
metadataobjectnoOptional metadata (model, department, priority)

Returns: { trace_id, started_at }

trace_span

Create a span within a trace. Spans can be nested via parent_span_id.

ParamTypeRequiredDescription
trace_idstringyesTrace to attach to
span_namestringyesSpan name (e.g. "research", "validation")
parent_span_idstringnoParent span for nesting
metadataobjectnoOptional span metadata

Returns: { span_id, trace_id }

trace_tool_call

Log a tool call within a trace. Auto-calculates cost estimate from token count.

ParamTypeRequiredDescription
trace_idstringyesTrace this belongs to
span_idstringnoSpan this belongs to
tool_namestringyesTool that was called
argsobjectyesArguments passed
result_previewstringyesResult preview (max 500 chars)
tokens_usednumbernoToken count (enables cost estimation)
duration_msnumberyesCall duration in milliseconds
statusstringyes"success", "error", or "timeout"

Returns: { event_id, logged: true }

trace_decision

Log an agent decision point with reasoning and alternatives considered.

ParamTypeRequiredDescription
trace_idstringyesTrace this belongs to
reasoningstringyesWhy the agent made this decision
alternatives_consideredstring[]yesOther options evaluated
chosen_actionstringyesWhat was decided
confidencenumberyesConfidence 0.0 to 1.0

Returns: { event_id, logged: true }

trace_end

Complete a trace. Auto-calculates total duration, event counts, and span counts.

ParamTypeRequiredDescription
trace_idstringyesTrace to complete
outcomestringyes"success", "failure", "partial", or "timeout"
summarystringnoOptional summary

Returns: { trace_id, duration_ms, events_count, spans_count, tool_calls_count }

get_trace

Retrieve a complete trace tree with all spans, events, tool calls, and decisions.

ParamTypeRequiredDescription
trace_idstringyesTrace ID to retrieve

Returns: Full trace object with nested span tree, all events, and computed totals.

search_traces

Find traces by agent ID and/or status.

ParamTypeDefaultDescription
agent_idstring-Filter by agent
statusstring-Filter by status
limitnumber20Max results (1-100)

Returns: Matching traces sorted by recency with summary stats.

Resources

URIDescription
traces://recentLast 20 traces with summary
traces://statsAggregate statistics (total, avg duration, success rate)

Usage Pattern

1. trace_start — when agent begins a task
2. trace_span — create logical work units (research, generation, validation)
3. During execution:
   - trace_tool_call — after each tool invocation
   - trace_decision — at each decision point
4. trace_end — when task completes
5. get_trace — retrieve full audit trail
6. search_traces — find traces by agent or status

EU AI Act Compliance

Article 14 of the EU AI Act requires high-risk AI systems to maintain traceability of decisions and actions. trace-forge-mcp provides:

  • Structured decision logging with reasoning and alternatives
  • Complete tool call audit trails with timing and cost
  • Hierarchical span trees for complex multi-step tasks
  • Agent identification and task attribution

License

MIT

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Categories
Monitoring & Observability
Registryactive
Packagetrace-forge-mcp
TransportSTDIO
UpdatedApr 24, 2026
View on GitHub

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