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trace2mcp

PyPIInfrastructure

PulseGate's liveness check found it on 3 Oct 2026; it is registered on PyPI and has been in the index since 24 Aug 2026. How this is checked

trace2mcp is an open-source Python package that compiles successful AI-agent traces into reusable workflows exposed through the Model Context Protocol. It is intended for developers building and optimizing agent systems.

Inferred · not functionally tested

Open SourceMITCLISelf-hosted
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Overview

5 features

Purpose: Turning successful AI-agent execution traces into reusable workflows without rebuilding them manually.

Inferred · not functionally tested

Audience: AI-agent developers

Inferred · not functionally tested

Functions: agents, workflow_automation

Inferred · not functionally tested

Interfaces: API: unknown · MCP: indicated (inferred, not tested) · CLI: indicated (inferred, not tested) · Self-hosting: indicated (inferred, not tested)

Recorded constraints: pricing: open_source · license: MIT · platforms: CLI · deployment: cli, self_hosted

Constraint provenance is unknown; confirm requirements with the publisher.

Record sources: pypi.org. These links do not verify the individual claims.

In the Frameworks & runtimes space, trace2mcp takes a focused approach. Inferred · not functionally tested: It focuses on turning successful AI-agent execution traces into reusable workflows without rebuilding them manually. Inferred · not functionally tested: It is built as an open-source project for AI-agent developers. Basis unknown · not verified: The project is open source (MIT). Basis unknown · not verified: It runs on the command line, and it can be self-hosted.

Behind trace2mcp is warenterprise, and it first shipped in 2026. Inferred · not functionally tested: Key capabilities include trace compilation, MCP workflows, and agent tracing. Basis unknown · not verified: Catalogued interfaces include an MCP server.

Summary written by a language model from the project’s public pages.

Tasks: Inferred · not functionally tested

  • Trace compilation
  • MCP workflows
  • Agent tracing
  • Workflow reuse
  • Agent optimization

Topics: Inferred · not functionally tested

Tags
agent-tracingmcp-workflowsworkflow-compilationai-agent-optimization
AI capabilities
TextStructured
Inference: Local

JSON profile · Text profile · Access guide

Built with & integrations

Connectors
MCP
Runs on
CLISelf-hosted

Trust & compliance

License
MIT
Public signals
HTTPSOpen SourceFree tier

Indexing history

1

What PulseGate has recorded for this listing

  1. Indexed24 Aug · 20:11 UTC
    trace2mcp seen via PyPI Fresh Feed
    Source: PyPI Fresh Feed · Open

Frequently asked questions about trace2mcp

What is trace2mcp?
Inferred · not functionally tested: Trace2mcp focuses on turning successful AI-agent execution traces into reusable workflows without rebuilding them manually. It is catalogued under Frameworks & runtimes on PulseGate.
Who should use trace2mcp?
Inferred · not functionally tested: trace2mcp is an open-source project built for AI-agent developers.
Does trace2mcp have a free plan?
Basis unknown · not verified: Yes — trace2mcp is open source under the MIT license and free to use.
What platforms does trace2mcp run on?
Basis unknown · not verified: trace2mcp runs on the command line. It can also be self-hosted.
Is trace2mcp still active?
PulseGate's liveness check found it on 3 Oct 2026.
What projects are similar to trace2mcp?
Similar projects tracked by PulseGate include trace-mcp, mcp-triage, and agent-replay-debugger-mcp.trace-mcpmcp-triageagent-replay-debugger-mcp
Who develops trace2mcp?
trace2mcp is developed by warenterprise.
How long has trace2mcp been around?
trace2mcp first shipped in 2026.

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