Factorly MCP server
Commit Nov 1, 2026Manages agent tool chains by wrapping MCP servers, REST APIs, and CLI commands with encrypted credential injection and governance rules.
Also known as factorly-dev/factorly
- Stars
- 24
- Tools
- 2
- Downloads, 30 days
- —
- Latest version
- —
- Last commit
- Nov 1, 2026
- License
- GPL-3.0
What is Factorly MCP?
Factorly manages agent tool chains by wrapping MCP servers, REST APIs, and CLI commands with encrypted credential injection and governance rules. It exposes 2 tools, such as tokens, credentials.
Summary generated from the project's README
About Factorly MCP server
Factorly acts as a local runtime designed to manage tool chains for AI agents. It allows developers to wrap MCP servers, REST APIs, and CLI commands into a unified configuration. By sitting between the agent and the tools, it ensures that sensitive information like API keys and tokens remains hidden from the agent, providing only the final tool response. This setup is ideal for developers who need to provide agents with capabilities while maintaining strict control over security and execution.
Users can install the service via Homebrew, npm, pip, or Go. The system includes an encrypted vault for credential injection and a web UI for testing tools before they are deployed to an agent. It supports over 40 blueprints for services such as GitHub, Slack, and Stripe. Once configured, the runtime can sync with clients like Claude Code, Cursor, or Codex, presenting them with a single MCP server interface that includes workflows, tool names, and audit logs.
What you can do with it
- 1Secure credential managementProvide an agent with access to GitHub without exposing your actual authentication tokens.
- 2Wrapping existing MCP serversInstantly make any existing MCP server available to your agent using a simple command.
Written from the project's README. Every use case is checked against a quote from it.
Factorly MCP tools 2
Detected from the READMEtokenscredentials
| tokens | — | |
| credentials | — |
Automated checks
Ran Nov 14, 2026Full report →Not verified yet. A server needs a score of 80, no serious finding, and enough data for us to check. How checks work · What to fix for more points
- Source repository linked and reachablefactorly-dev/factorly is public and reachablegithub.com/factorly-dev/factorly ↗Pass
- Package names this repository as its sourceNot checked
- Build provenance (Sigstore attestation)Not checked
- Open source license (OSI)GPL-3.0spdx.org/licenses/GPL-3.0.html ↗Pass
- Commit or release in the last yearLast commit or release 2026-11-01github.com/factorly-dev/factorly ↗Pass
- OpenSSF ScorecardNot checked
- Package name not close to a popular packageNot checked
- No critical advisory in the package or its dependenciesNot checked
- No hidden instructions to the model2 tool descriptions and the README read; no override phrases, credential paths or hidden charactersPass
- Destructive tools are labelledNo tool named like delete, drop or execPass
- Remote endpoint answers the MCP handshakeNot checked
README
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Factorly
Build what your agent can do.
Define tools, compose workflows, test and run them. MCP servers, REST APIs, and CLI commands in one config, one UI, one audit log.
Factorly is a local runtime for agent tool chains. It manages tool calls, injects credentials from an encrypted vault, enforces governance rules, and logs everything. Your agent sees workflows, tools, and data. It never receives your credentials, only the tool's response. Secrets stay secret.
Install
Install with your package manager of choice:
brew install factorly-dev/tap/factorly
# or: npm install -g factorly
# or: pip install factorly
# or: go install github.com/factorly-dev/factorly@latest
Quick Start
Zero config: wrap any existing MCP server and it's instantly callable through Factorly:
factorly wrap -- npx -y @modelcontextprotocol/server-everything
Then set up a project: install a blueprint, store credentials, and sync with your agent:
# 1. Create a project config + install a blueprint (41 services: GitHub, Slack, Stripe, Linear, Gmail, ...)
factorly init
factorly blueprint install github
# 2. Store credentials in the encrypted vault (or: factorly auth login github)
factorly vault set GITHUB_TOKEN ghp_xxxxxxxxxxxx
# 3. Confirm it's wired up
factorly tools status
# 4. Connect to your agent (auto-detects Claude Code, Cursor, Codex), then reload it
factorly sync
# 5. Optional — browse, edit, and try tools in the UI
factorly ui
Your agent connects to Factorly as a single MCP server or CLI and sees every tool you've configured. Your agent never possesses the credential — Factorly resolves {{vault:KEY}} references at call time and only the resolved request leaves the box. Full walkthrough: Getting Started.
What It Does
Define — one config, every protocol, 40+ blueprints included
Test — Try tools in the UI, see the response, iterate before giving your agent access
Compose — workflows with per-step policies, deterministic sequences
Govern — vault, policies, audit log. Built in, not bolted on.
┌────────────┐ ┌────────────┐ ┌────────────┐
│ │ │ │ │ │
│ 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
Docs
- Getting Started
- Configuration
- CLI Reference
- Web UI
- Workflows
- Expressions
- Output Filters
- Blueprints
- Vault
- OAuth
- Logging
- OpenAPI Import
- Examples
License
Factorly MCP questions
What tools does Factorly MCP provide?
It exposes 2 tools, including tokens, credentials.
How do I wrap an existing MCP server with Factorly?
You can wrap any existing MCP server using the command: factorly wrap -- [command].
Does my AI agent see my API keys and credentials?
No, your agent never receives your credentials, only the tool's response. Factorly resolves vault references at call time.
What services are available through blueprints?
Factorly includes blueprints for over 40 services, including GitHub, Slack, Stripe, Linear, and Gmail.