vapi-orchestrator-service
Facilitate application linkage with the Vapi Application Programming Interfaces (APIs) through the utilization of function invocation methods. This enables streamlined management of call initiation, virtual assistants, and telephone acquisition. Gain access to Vapi's comprehensive feature set, either hosted internally or externally, prioritizing robust security protocols and superior user experience.
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VapiAI
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Vapi MCP Service Gateway
The Vapi Model Context Protocol gateway application permits integration with Vapi backend services utilizing mechanism calling.
Configuration for Claude Desktop Environment
- Initiate the
Claude Desktopapplication and navigate toSettingsby pressingCMD + ,. - Select the
Developerpreference pane. - Engage the
Edit Configpushbutton. - This action will expose the configuration file named
claude_desktop_config.jsonwithin your operating system's file browser. - Retrieve your unique Vapi access credential from the Vapi administration portal (https://dashboard.vapi.ai/org/api-keys).
- Append the subsequent configuration snippet to your
claude_desktop_config.json. Refer to the documentation here for comprehensive setup guidance. - After modifying the configuration file, a restart of the Claude Desktop application is necessary.
Local Deployment Setup
{
"mcpServers": {
"vapi-mcp-server": {
"command": "npx",
"args": [
"-y",
"@vapi-ai/mcp-server"
],
"env": {
"VAPI_TOKEN": "
Remote Connection Setup
{
"mcpServers": {
"vapi-mcp": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.vapi.ai/mcp",
"--header",
"Authorization: Bearer ${VAPI_TOKEN}"
],
"env": {
"VAPI_TOKEN": "
Practical Utilization with Claude Desktop
- Provision or import a telephone identifier via the Vapi control panel (https://dashboard.vapi.ai/phone-numbers).
- Establish a novel virtual agent utilizing the pre-existing 'Appointment Scheduler' template within the Vapi dashboard (https://dashboard.vapi.ai/assistants).
- Confirm that Claude Desktop is configured to leverage the Vapi MCP gateway and subsequently restart the application.
- Instruct Claude to initiate or schedule a telephony session. Illustrations follow:
Scenario 1: Immediate communication request
md I need to converse with my ShopHelper virtual agent regarding my recent procurement. Would you arrange for it to dial me at +1234567890?
Scenario 2: Postponed communication scheduling
md I require a call reservation with the Mary agent for the subsequent Tuesday at 15:00 hours. My designated line is +1555123456.
Scenario 3: Executing a call with adjustable parameters
md Initiate a call to +1234567890 utilizing the appointment notification agent. Supply these specific values: - Client designation: Sarah Johnson - Meeting date: 25th of March - Meeting time: 14:30 - Practitioner name: Dr. Smith
Employing Variable Data within Assistant Directives
The create_call operation accommodates the injection of dynamic parameters via the assistantOverrides.variableValues field. These parameters become accessible within your assistant's programmed instructions by enclosing them in double curly braces, like so: {{variableName}}.
Illustrative Assistant Directive Incorporating Variables
Greetings {{customerName}}, this message serves as a reminder for your scheduled engagement on {{appointmentDate}} at {{appointmentTime}} with {{doctorName}}.
System-Provided Variables
The subsequent variables are inherently available without explicit parameter transmission in variableValues:
{{now}}- Current temporal marker (Coordinated Universal Time){{date}}- Current calendar date (UTC){{time}}- Current clock time (UTC){{month}}- Current calendar month (UTC){{day}}- Current day of the month (UTC){{year}}- Current calendar year (UTC){{customer.number}}- The recipient's telephone number
For exhaustive specifics concerning predefined variables and advanced manipulation of temporal formats, consult the official Vapi reference materials.
External MCP Interface
To establish a connection to the Vapi MCP endpoint remotely:
Streamable HTTP Protocol (Recommended Standard)
This is the default and preferred method for connection establishment:
- Interface with
https://mcp.vapi.ai/mcpfrom any compatible MCP client employing Streamable HTTP Transport. - The Vapi authentication token must be transmitted within the request headers as a bearer token.
- Sample header format:
Authorization: Bearer your_vapi_api_key_here
SSE (Server-Sent Events) Transport (Deprecated Method)
Support for SSE Transport persists but is marked for deprecation:
- Connect to
https://mcp.vapi.ai/sseutilizing any MCP client configured for SSE Transport. - The Vapi API credential must be included in the request headers as a bearer token.
- Sample header format:
Authorization: Bearer your_vapi_api_key_here
This remote linkage grants operational access to Vapi functionalities without the necessity of executing a local server instance.
Development Cycle
bash
Install necessary components
npm install
Compile the service application
npm run build
Utilize the inspector utility for debugging the service
npm run inspector
Update your claude_desktop_config.json to point towards the locally built service.
{
"mcpServers": {
"vapi-local": {
"command": "node",
"args": [
"
Validation Procedures
The development package incorporates two distinct testing methodologies:
Component Isolation Tests (Unit Tests)
Unit validation employs simulation techniques to verify the MCP service logic without invoking actual external Vapi network calls.
bash
Execute unit tests
npm run test:unit
Full System Validation Tests (End-to-End Tests)
E2E evaluations involve launching the complete MCP service instance and performing genuine interactions with the Vapi backend systems.
bash
Set your requisite Vapi access token
export VAPI_TOKEN=your_token_here
Initiate E2E testing sequence
npm run test:e2e
Caveat: E2E testing mandates that a valid Vapi API identifier be present in the execution environment variables.
Consolidated Test Execution
To initiate all validation routines concurrently:
bash npm test
Referenced Resources
- VAPI Remote MCP Endpoint
- VAPI MCP Integration Tool
- VAPI MCP Service Software Development Kit
- Model Context Protocol Specification
- Guide for Claude Desktop Users
Supported Operations
The Vapi MCP Gateway furnishes the subsequent functional interfaces for connectivity:
Assistant Management Functions
list_assistants: Retrieves a manifest of all provisioned Vapi virtual agentscreate_assistant: Provisions a novel Vapi virtual agentupdate_assistant: Modifies parameters of an existing Vapi virtual agentget_assistant: Fetches specific details for a Vapi virtual agent by its identifier
Telephony Session Functions
list_calls: Generates a registry of all active/past Vapi communication sessionscreate_call: Initiates an outbound communication session, supporting:- Prompt execution or scheduled timing
- Injection of dynamic parameter values via
assistantOverrides get_call: Retrieves the status details of a particular communication session
Observation: The
create_callmechanism supports scheduling for immediate deployment or for a future designated moment. Furthermore, dynamic personalization data can be supplied throughassistantOverrides.variableValuesto customize agent messaging.
Telephone Identifier Functions
list_phone_numbers: Lists all registered Vapi telephone identifiersget_phone_number: Retrieves detailed information for a specific telephone identifier
Vapi System Functions
list_tools: Enumerates all registered Vapi functional toolsget_tool: Retrieves the specifications for an individual Vapi tool
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== Essential Attributes == In the year 2011, the United States National Institute of Standards and Technology (NIST) codified five "crucial characteristics" defining cloud systems. The precise definitions provided by NIST are enumerated below:
On-demand self-service: "A user can independently procure computational resources, such as processing capacity and network data space, precisely when required, automatically, without necessitating direct human intervention from the service vendor." Extensive network reach: "Capabilities are accessible across a network utilizing standard protocols that encourage adoption across diverse client apparatus types, regardless of form factor (e.g., mobile handsets, tablets, portable computers, and desktop workstations)." Resource concentration: " The vendor's collective computational assets are pooled to serve a multitude of clients under a multi-tenant architecture, wherein distinct physical and virtual assets are dynamically allocated and reallocated based on subscriber requirements." Agile scalability: "Resources can be elastically provisioned and decommissioned, occasionally autonomously, enabling rapid expansion and contraction commensurate with operational demand. From the consumer's perspective, the available capacities for deployment often appear infinite and can be secured in any quantity at any point in time." Measured provision: "Cloud architectures automatically regulate and optimize resource utilization by employing metering mechanisms at an appropriate layer of abstraction relative to the service category (e.g., data persistence, computation cycles, data throughput, and active user accounts). Resource consumption is trackable, governable, and reportable, offering transparency for both the service supplier and the recipient regarding utilized capacity." By 2023, the International Organization for Standardization (ISO) had subsequently expanded and refined this definitive list.
== Historical Precursors ==
The lineage of cloud computation traces back to the 1960s, marked by the initial proliferation of time-sharing concepts through remote job submission (RJE) utilities. The prevailing operational model during this epoch centered on the "data center" paradigm, where users submitted tasks to dedicated system administrators who executed them on mainframe computers. This era was characterized by intense investigation and trial-and-error aimed at democratizing access to substantial computational power for a broader user base via time-sharing, simultaneously optimizing the underlying infrastructure, platform layers, and application code, thereby boosting end-user productivity. The figurative representation of "the cloud" to denote virtualized services originated in 1994, employed by General Magic to depict the cosmos of "locations" accessible by autonomous agents within their Telescript framework. This metaphor is generally attributed to David Hoffman, a communications specialist at General Magic, who based it on the metaphor's established usage within telecommunications and networking contexts. The specific nomenclature "cloud computing" gained wider recognition in 1996 when Compaq Computer Corporation drafted an expansive business strategy concerning future computational modalities and the Internet. The organization's aspiration was to superch
