Business operationsPublic source

Customer Service MCP Server

Customer service platform for AI agents — conversations, customer intelligence, knowledge base, response suggestions, churn prediction, routing, and satisfaction tracking. 20 tools with realistic demo data.

Open the source Read the official guide ↗

What it gives an agent

A purpose-built capability behind one MCP connection.

The server owns its domain logic and publishes a tool contract an MCP client can discover. ADK-Rust can load that contract into an agent, normalize each schema for the chosen model provider, and keep the connection lifecycle outside the agent’s business logic.

Provides customer capabilities through a typed MCP contract.

Provides service capabilities through a typed MCP contract.

Architecture

How Customer Service MCP Server fits into an agent system.

The model never needs the implementation details or credentials of the system behind the server. It sees reviewed tool definitions. The MCP client handles discovery and calls, while the server keeps ownership of validation, policy, and communication with its domain system.

ADK-Rust agent

Chooses a capability from the reviewed tool catalog.

→

MCP client

Discovers schemas, sends calls, and receives typed content.

→

Customer Service MCP Server

Validates the request and owns 20 documented tool contracts.

→

Domain system

Keeps the API, data, credentials, and business rules behind the server.

Connection: stdio · Server framework: ADK MCP SDK + rmcp

Customer Service MCP Server architecture diagram from its official repository

Tool catalog

What can an agent ask Customer Service MCP Server to do?

Each tool has a stable name, a human-readable purpose, and a JSON input contract discovered during MCP initialization. Risk classes come from the project’s registry manifest when one is available.

20 named tools

list_conversations

Filter by status, priority, agent

see documentation

get_conversation

Full thread with messages

see documentation

start_conversation

Start new conversation

see documentation

reply_conversation

Public reply to customer

see documentation

add_internal_note

Internal note (not visible)

see documentation

get_customer_profile

Plan, LTV, health, history

see documentation

get_customer_health

Health score + contributing factors

see documentation

get_interaction_history

All past conversations

see documentation

assess_churn_risk

Churn prediction with signals

see documentation

search_knowledge_base

Find relevant help articles

see documentation

suggest_response

AI-suggested reply based on context

see documentation

get_canned_responses

Approved response templates

see documentation

Governance

Understand the effect of every tool.

A server connection inherits the authority of its credentials and deployment environment. The declarations below come from this project’s README and MCP registry manifest; your application still decides which tools an agent receives and where approval is required.

20 see documentation

Review the server documentation and deployment credentials before enabling it for an agent.

MCP surface

What the current documentation declares.

MCP can carry tools, resources, prompts, structured results, progress, cancellation, and long-running work. This record highlights the modern protocol features explicitly mentioned by this repository.

The current README concentrates on its tool surface. Check the source and release notes before relying on optional MCP capabilities beyond tool discovery and invocation.

ADK MCP SDKrmcp

Install and connect

Follow the project’s documented starting point.

Install the server in the environment that owns its credentials and domain access. Add it to your MCP host, verify the discovered tools, and narrow the toolset before giving it to a production agent.

Install

cargo install mcp-customer-service

ADK-Rust connection shape

let toolset = McpToolset::from_stdio(
    "mcp-customer-service",
    ["mcp-customer-service"],
).await?;

let agent = LlmAgentBuilder::new("agent")
    .tools(toolset.tools().await?)
    .build()?;

Commands and configuration are extracted from the public README. Confirm prerequisites, environment variables, and release-specific options in the official documentation before deployment.

Official documentation

Continue with the project maintainers’ source of truth.

This page provides an approachable map of the server. The repository remains authoritative for exact schemas, prerequisites, configuration, examples, tests, releases, and security updates.

Overview ↗README.md Architecture ↗docs/assets/architecture.svg Issues and support ↗github.com issues

Keep exploring