Skip to main content

Security and governance layer for AI agent tool access

Project description

░█▀▀░█▀█░█▀▀░▀█▀░█▀█░█▀▄░█░░█░█
░█▀▀░█▀█░█░░░░█░░█░█░█▀▄░█░░░█░
░▀░░░▀░▀░▀▀▀░░▀░░▀▀▀░▀░▀░▀▀▀░▀░

Factorly

PyPI License: GPL-3.0 MCP GitHub Docs

One command. All your tools. Credentials stay out of your agent's hands.

Factorly is a local proxy between your AI agent and the tools it uses. Secrets stay in an encrypted vault. Every call is logged. Governance rules let you deny destructive operations, require approval for writes, rate-limit calls, and detect agent loops. REST APIs, CLI commands, and MCP servers — one config, one audit log, one set of rules.

Install

pip install factorly

Quick Start

# 1. Install a template (36 services: GitHub, Slack, Stripe, Linear, Gmail, ...)
factorly tools import templates github

# 2. Store your credentials in the encrypted vault
factorly vault set GITHUB_TOKEN ghp_xxxxxxxxxxxx

# 3. Connect to your agent (auto-detects Claude Code, Cursor, Codex)
factorly sync

The agent never sees your GitHub token. Factorly injected it, made the API call, logged it, and returned the data.

Already Using an MCP Server?

Wrap it with Factorly — no config file needed, no changes to the server:

factorly wrap -- npx @modelcontextprotocol/server-github

What You Get

  • Credential isolation — secrets in encrypted vault, agent never sees them
  • Governance — deny, confirm, rate limit, loop detection per tool
  • Audit log — every call logged with params, response, and governance outcome
  • 36 templates — pre-built configs for GitHub, Slack, Stripe, Gmail, Linear, and more
  • Zero-config proxyfactorly wrap and factorly exec add safety instantly

Supported Platforms

OS Architecture
Linux x64
macOS x64, arm64
Windows x64

The pip package downloads the pre-built Go binary for your platform on first run.

Documentation

Full docs at github.com/factorly-dev/factorly

License

GPL-3.0

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

factorly-0.3.1.tar.gz (4.0 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

factorly-0.3.1-py3-none-any.whl (4.8 kB view details)

Uploaded Python 3

File details

Details for the file factorly-0.3.1.tar.gz.

File metadata

  • Download URL: factorly-0.3.1.tar.gz
  • Upload date:
  • Size: 4.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.13

File hashes

Hashes for factorly-0.3.1.tar.gz
Algorithm Hash digest
SHA256 abc76bce59f347bdb5614393bffed406f3aa95d43914929b21012d6d39d0f79e
MD5 c0b552d5fc2e87caf9365c4e8948ca61
BLAKE2b-256 2c14b4bf9ebf52791b61b5cd89206db57bf61c80619d8b439e45331cbbc89e58

See more details on using hashes here.

File details

Details for the file factorly-0.3.1-py3-none-any.whl.

File metadata

  • Download URL: factorly-0.3.1-py3-none-any.whl
  • Upload date:
  • Size: 4.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.13

File hashes

Hashes for factorly-0.3.1-py3-none-any.whl
Algorithm Hash digest
SHA256 ed18d13e1fa216eff07f1f6b14386f554f61551b16f7c87cd7397d7b1873d712
MD5 77fcce7818da2c46d0d4b876d1ae85c1
BLAKE2b-256 9ba63509173129cfb9392f90889b118080be26f584ccd9f964c4dc447a67cb29

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page