Cloud Connectors
Typed clients for AWS, Google Cloud, GitHub, Slack, Vault, Zoom, Anthropic, Cursor, and Meshy.
Vendor Connectors
Vendor Connectors (vendor-connectors) provides typed connectors for cloud providers, service APIs, AI tool adapters, and MCP server surfaces. Install only the vendors and framework extras you need, or use the full bundle when you want the entire integration surface available in one environment.
Installation
Section titled “Installation”pip install vendor-connectorspip install vendor-connectors[aws]pip install vendor-connectors[google]pip install vendor-connectors[github]pip install vendor-connectors[slack]pip install vendor-connectors[vault]pip install vendor-connectors[anthropic]pip install vendor-connectors[secrets]pip install vendor-connectors[meshy]pip install vendor-connectors[langchain]pip install vendor-connectors[crewai]pip install vendor-connectors[mcp]pip install vendor-connectors[meshy,mcp]pip install vendor-connectors[all]What You Get
Section titled “What You Get”SecretSync Bridge
Python-facing access to SecretSync validation, dry-run, and pipeline
operations through vendor_connectors.secrets.
AI Tool Adapters
Framework-ready tools exposed from the same connector primitives through get_tools(...).
MCP Servers
MCP entry points where a tool server makes sense, including the Meshy workflow surface.
Typed Core
Shared retries, validation, logging, and input handling inherited from the rest of the monorepo.
Quick Start
Section titled “Quick Start”from vendor_connectors import VendorConnectors
vc = VendorConnectors()
github = vc.get_github_client(github_owner="jbcom")slack = vc.get_slack_client()anthropic = vc.get_anthropic_client()SecretSync Connector
Section titled “SecretSync Connector”from vendor_connectors.secrets import SecretsConnector
connector = SecretsConnector()is_valid, message = connector.validate_config("pipeline.yaml")Framework Tools
Section titled “Framework Tools”from vendor_connectors.meshy.tools import get_tools
langchain_tools = get_tools("langchain")crewai_tools = get_tools("crewai")Meshy MCP
Section titled “Meshy MCP”pip install vendor-connectors[meshy,mcp]meshy-mcpIntegration Pattern
Section titled “Integration Pattern”Most connectors expose the same three layers:
- Direct Python clients for application code.
get_tools(framework=...)adapters for LangChain or CrewAI.- MCP entry points where the connector benefits from tool-server usage.
Meshy is the broadest example because it supports all three surfaces. Other connectors expose the subset that makes sense for their API shape.