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io.github.codelad1304/agentic-compute

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Tools for autonomous AI agents

About this integration

Secure Python sandbox for data optimization and Matplotlib rendering via x402 microtransactions.

Transport
stdio
Authentication
unknown
Initial setup
credentials
Runtime
unattended
Evidence
documented
Version
1.1.4
Package
agentic-compute-mcp-codelad1304
Last compatibility test
Not independently tested

Connect your agent

agentic-compute-mcp-codelad1304

Documentation-only qualification from complete pinned publisher README and manifest; the package, endpoint, and credentials were not executed. Calls can spend cryptocurrency and depend on a separately running backend. Neither payments nor the backend were exercised.

Capabilities: Execute paid sandboxed Python workloads, Sanitize data, optimize models, and render plots

Connected profiles

Additional details

Registry identifier

io.github.codelad1304/agentic-compute

Source ↗ · Checked 2026-09-17
Published version

1.1.4

Source ↗ · Checked 2026-09-17
Metadata license

CC0-1.0; package licenses are separate

Source ↗ · Checked 2026-09-17
Package ecosystem

pypi

Source ↗ · Checked 2026-09-17
Source artifact

agentic-compute-mcp-codelad1304

Source ↗ · Checked 2026-09-18
Source manifest version

1.1.4

Source ↗ · Checked 2026-09-18
Unattended configuration

Publisher-provided agent instructions describe automatic per-call x402 payment and local plot saving after both the backend and bridge are configured.

Source ↗ · Checked 2026-09-18
Authentication and prerequisites

Uses a funded EVM private key for x402 payments, outside the native authentication taxonomy; backend configuration is also required.

Source ↗ · Checked 2026-09-18
Connection configuration

Point the MCP client at mcp_client.py and provide EVM_PRIVATE_KEY, while operating the separately documented backend service.

Source ↗ · Checked 2026-09-18
Review scope

Publisher documentation reviewed; package and integration endpoint not executed or independently security-audited.

Source ↗ · Checked 2026-09-18