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Trace Forge

User RatingsBe the first to rate and review this MCP server! Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time β€” check back soon.
View Repository

Structured execution trace and span logging for AI agents

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "trace-forge": {
      "command": "npx",
      "args": [
        "-y",
        "trace-forge"
      ]
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing AlternativesπŸ“Š More in Monitoring

Documentation Overview

trace-forge-mcp

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

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

Install

Terminal
npx trace-forge-mcp

Claude Desktop

Add to claude_desktop_config.json:

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

From source

bash
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

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

Read the full README β†’View source on GitHub β†’

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Reviews

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Frequently Asked Questions about Trace Forge

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "trace-forge": { "command": "npx", "args": ["-y", "trace-forge"] } }

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Technical Specs & Signals

CategoryπŸ“ŠMonitoring
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimeNode.js
Last updatedSep 7, 2026
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25Quality signal: Emerging Β· 25/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership8/20
Documentation & tools10/30
Adoption & activity1/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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