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MCP server · Documentation

Factorly

Your agent calls tools. Factorly holds the keys.

37Low

Scored 4 months ago · breakdown

About Factorly

Factorly is an MCP server in the Documentation category: your agent calls tools. Factorly holds the keys. It has been installed 0 times through Conduid.

Install

Claude Code
claude mcp add factorly -- npx -y factorly
npx
npx -y factorly

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

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README

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Factorly

Release Go CI npm PyPI MCP Docs

Stop giving your AI agents your API keys. One command. All your tools. Credentials stay out of your agent's hands.

Factorly is a local runtime for agent tool chains. It proxies agent tool calls, injects credentials from an encrypted vault, enforces governance rules, and logs everything.

REST APIs, CLI commands, and MCP servers run through one config, one audit log, one set of rules.

Your agent sees workflows, tool names, and data. Never secrets.

┌────────────┐       ┌────────────┐       ┌────────────┐
│            │       │            │       │            │
│ Your Agent │──────▶│  Factorly  │──────▶│ Your Tools │
│            │       │            │       │            │
└────────────┘       └────────────┘       └────────────┘
  Sees:                Vault               REST APIs
  - tool names         Governance          CLI commands
  - workflows          Audit log           MCP servers
  - data               Rate limits

  Never sees:
  - API keys
  - tokens
  - credentials

Install

Install with your package manager of choice:

npm install -g factorly
  # or: pip install factorly
  # or: go install github.com/factorly-dev/factorly@latest

Quick Start

Then, define your tools, secure your credentials, and sync with your agent:

# 1. Configure your tools or install a template (36 services: GitHub, Slack, Stripe, Linear, Gmail, ...)
factorly init

# 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 credentials. Factorly injected it, made the API call, logged it, and returned the data.



Features

MCP servers, REST APIs, CLI commands. One config, one endpoint, one audit log.

Your agent connects to Factorly once and sees all its approved tools.

Encrypted vault

Your API keys, OAuth tokens, and secrets live in Factorly's fully encrypted local vault, using AES-256-GCM with per-entry encryption. Keys stay on your device. The agent sees tool names and data — never secrets.

# Store a secret — encrypted on disk, decrypted on demand
$ factorly vault set GITHUB_TOKEN
  Enter value: ••••••••••••••••

# Reference it in any tool config
  token: "{{vault:GITHUB_TOKEN}}"

# Your agent calls a tool — Factorly injects the secret
  Agent sees: data
  Agent never sees: ghp_xxxx...

36 templates

Pre-built configs for GitHub, Slack, Stripe, Linear, Gmail, Notion, Jira, HubSpot, Salesforce, and more. One command installs. One command connects to Claude Code, Cursor, or Codex.

$ factorly tools import templates github
$ factorly vault set GITHUB_TOKEN ghp_xxxxxxxxxxxx
$ factorly sync

Wrap any MCP server

Already using an MCP server? Wrap it with zero config:

$ factorly wrap -- npx @modelcontextprotocol/server-github

Same tools, same interface. Now every call is logged, output is compressed, loops are detected, and calls are rate-limited.

Workflows

Chain tools into governed pipelines. Steps run sequentially with variable passing, conditional branching, and state persistence. One call replaces many.

tools:
  deploy.staging:
    type: workflow
    steps:
      - tool: make.test
        store: output
      - tool: make.deploy
        require: "contains(output, 'PASS')"
      - switch:
          - condition: "contains(output, 'PASS')"
            tool: slack.post
            params: { text: "✓ Deployed" }
          - condition: "true"
            tool: slack.post
            params: { text: "✗ Deploy blocked — tests failed" }

if: skips steps. require: stops the workflow. switch: branches. Full expression language with comparisons, boolean logic, contains(), and jsonpath(). Every step is individually logged and governed.

Oversight

Block destructive operations. Require confirmation before writes. Rate-limit calls. Loop detection is always on — Factorly fingerprints identical calls and blocks runaway agents after 12 repeats.

shadow:
  deny: [delete_repository, delete_branch]
  confirm: [merge_pull_request, create_release]
  rate_limit: 100/hour

Built-in tools block dangerous patterns like rm -rf, curl | sh, and DROP TABLE out of the box. Write and delete templates ship with confirm: true by default.

# Agent tries to run a destructive command
$ factorly call shell --command "rm -rf /"
  ✗ blocked: command matches deny pattern "rm -rf"

# Logged and denied. The command never executed.

Audit trail

Every tool call logged: who called what, when, with what parameters, what was returned, what was blocked. Per-agent identity tracking for multi-agent setups.

$ factorly logs --tool github --status blocked
$ factorly logs -f    # follow in real time

Output compression

Agent tools return too much data. Factorly compresses JSON, deduplicates log output, filters command-specific noise, and truncates to head + tail — saving tokens without losing signal. 27 built-in filters for common commands (git, make, npm, go, cargo, pytest, pip, docker, kubectl, terraform, and more) apply automatically. Savings tracked per-call in the audit log.

Docs

License

GPL-3.0

README mirrored from the source repository 4 months ago. The original is authoritative.

Questions

About Factorly

How do I install Factorly?

Run claude mcp add factorly -- npx -y factorly, then add the server to your MCP client's configuration. Conduid has recorded 0 installs, so the command is known to work with current clients.

Is Factorly safe to use with an AI agent?

Its trust score is 37 out of 100 (low). Conduid hasn't run static security checks on this repository yet, so review the source yourself before granting it credentials. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Factorly still maintained?

Conduid hasn't recorded a commit date for this repository yet. Check the repository directly for recent activity.