Genesys MCP
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Genesys MCPshow me the current queue status for support"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Genesys MCP
Vendor-neutral Model Context Protocol server for Genesys Cloud.
genesys-mcp is a Model Context Protocol (MCP) server that exposes Genesys Cloud
platform capabilities — queues, conversations, users, presence, analytics — as
MCP tools, resources, and prompts. Any MCP-compatible AI agent can speak to
Genesys through it: Claude Desktop, Claude Code, Cursor, Continue, Cline, and
any custom agent built on LangGraph, LangChain, CrewAI, AutoGen, or a raw
provider SDK.
Status
v0.1.0 — pre-release. The framework, transports, and reliability layer are
in place. The first batch of read-only tools lands in v0.2; curated writes
(behind --enable-writes) and Resources/Prompts land in v0.3. The v1.0 launch
ships everything together with PyPI, Docker (GHCR), an npx shim, and an MCPB
bundle.
Why
The MCP ecosystem already has a Genesys Cloud server, but it ships stdio-only
without HTTP transport, has no per-request auth context (a single module-global
boolean gates the whole process), and has no production reliability layer
(no 429 handling, no token refresh, no structured logging). genesys-mcp is
designed for the production surface: hosted-ready Streamable HTTP, per-request
auth, 429-aware retry, refresh-on-401, structured logs, and OpenTelemetry
tracing — all from day one, all vendor-neutral.
Quickstart
Tools are not yet shipped — these snippets show the install pattern. v0.2 will list the actual tool surface here.
Claude Desktop
Add an entry under mcpServers in your claude_desktop_config.json:
{
"mcpServers": {
"genesys": {
"command": "uvx",
"args": ["genesys-mcp"],
"env": {
"GENESYS_REGION": "mypurecloud.com",
"GENESYS_CLIENT_ID": "...",
"GENESYS_CLIENT_SECRET": "..."
}
}
}
}Claude Code or Cursor
Add an entry to your editor's MCP server config (.claude/settings.json for
Claude Code, the Cursor MCP settings panel for Cursor):
{
"mcpServers": {
"genesys": {
"command": "genesys-mcp",
"args": ["--transport", "stdio"],
"env": {
"GENESYS_REGION": "mypurecloud.com",
"GENESYS_CLIENT_ID": "...",
"GENESYS_CLIENT_SECRET": "..."
}
}
}
}Programmatic Python
Connect via the official mcp Python client over stdio or HTTP:
from mcp import ClientSession, StdioServerParameters
from mcp.client.stdio import stdio_client
params = StdioServerParameters(command="genesys-mcp", args=["--transport", "stdio"])
async with stdio_client(params) as (read, write):
async with ClientSession(read, write) as session:
await session.initialize()
# tools = await session.list_tools() # available from v0.2For HTTP transport, run genesys-mcp --transport http --port 8000 and connect
your MCP client to http://localhost:8000.
Install
pip install genesys-mcpComing v1.0: published on PyPI, GHCR, npm shim, and as an MCPB bundle attached to GitHub Releases.
Transports
Transport | Use case | CLI |
| Local clients — Claude Desktop, Claude Code, Cursor, |
|
| Networked / hosted deployment, multi-agent gateways |
|
Both transports share the same tool surface. Transport selection is
environment-driven (MCP_TRANSPORT=stdio|http) or CLI-driven (--transport).
Security
The HTTP transport in v0.x ships unauthenticated. The MCP framing layer does not perform any caller authentication; the server trusts whatever process can reach the listening port. Operators have two responsible deployment options:
Bind to
127.0.0.1only (the defaultMCP_HOST) and let local agents connect over loopback.Bind to a non-loopback address only behind a reverse proxy (nginx, Caddy, Cloudflare Access, an API gateway) that performs authentication and authorisation before forwarding to
genesys-mcp.
Binding to 0.0.0.0 without a fronting auth layer exposes the upstream
Genesys credentials to anyone on the network. The Docker image therefore
defaults MCP_HOST=127.0.0.1; operators who genuinely need a public bind
must opt in explicitly with -e MCP_HOST=0.0.0.0.
A hosted, multi-tenant gateway with first-class authentication, audit, and
RBAC is on the Pro/SaaS roadmap (see ADR-006 in docs/warm/decisions.md).
Trust model
A few things to know before installing plugins or running this in production:
Entry-point plugins (the
genesys_mcp.pluginsgroup) execute in the server process with full access to every dependency, environment variable, and Genesys credential the server has. Only install plugins you trust.The license hook (
genesys_mcp.licensegroup) is a feature gate, not a security control. Any installed package can register one and any plugin can ignore the answer. It exists so the Pro package can express entitlements; treat it accordingly.OAuth client secrets are loaded from environment variables (and the
.envfile if present) and the server itself never logs them. We cannot guarantee the same of downstream plugins — vet them, or run withLOG_LEVEL=INFOand inspect output before trusting them with secrets.
Configuration
Configuration is read from environment variables (or a .env file). See
.env.example for the full list. The most important variables:
Variable | Default | Description |
|
| Transport selection ( |
|
| HTTP bind host |
|
| HTTP bind port |
|
|
|
|
| Opt-in to low-blast-radius write tools |
|
| Genesys Cloud region (e.g. |
| — | OAuth Client Credentials client id |
| — | OAuth Client Credentials client secret |
Development
git clone https://github.com/digitalvanguardsolutions/genesys-mcp.git
cd genesys-mcp
uv sync --all-extras
uv run pytest
uv run ruff check src tests
uv run mypy src
uv run genesys-mcp --transport stdiopre-commit install will wire up ruff, mypy, and a pre-push pytest run.
License
MIT — see LICENSE. Copyright 2026 Digital Vanguard Solutions.
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