Avaza API DocumentationMCP Configuration & Schema Registry
The Avaza API Documentation Model Context Protocol (MCP) configuration provides a validated, machine-readable JSON schema and executable bridge that connects state-of-the-art AI coding assistants — including Claude Desktop, Cursor IDE, Windsurf, Cline, and VS Code Copilot — directly to the Avaza API Documentation REST API. By leveraging the standardized open Model Context Protocol, AI agents can dynamically discover capabilities, validate input parameters against strict JSON Schemas, and execute live API operations without context switching or manual copy-pasting.
Quick Specs & Integration Summary
Technical Architecture & Protocol Semantics
Under the Model Context Protocol specification, the Avaza API Documentation configuration functions as an isolated protocol adapter. When an AI agent initializes a session, the client establishes a bidirectional JSON-RPC 2.0 communication channel over standard input/output (stdio) or Server-Sent Events (SSE). During the initial handshake, the server publishes its tool manifest extracted from the Avaza API Documentation OpenAPI specification (version v1).
The Avaza API is a comprehensive suite of endpoints designed to facilitate deep integration with the Avaza platform, a modern business software solution focused on project management, resource scheduling, time tracking, and invoicing. Provided by Avaza, this API empowers developers and businesses to programmatically interact with core modules, effectively bridging Avaza's user interface with custom applications, internal workflows, and automated systems. Its primary capabilities revolve around two key domains: operational scheduling and financial management. The scheduling endpoints allow for the precise manipulation of team resources, enabling the automated creation, modification, and management of bookings and leave periods. This is invaluable for enterprises needing to synchronize Avaza's resource planner with external HR systems, calendar applications, or project management tools. Simultaneously, the financial endpoints provide robust control over the invoicing and payment cycle, allowing for the retrieval, creation, and querying of bills and bill payments. This facilitates use cases such as generating automated financial reports, syncing invoicing data with accounting software like QuickBooks or Xero, or creating custom dashboards for real-time financial monitoring, ultimately streamlining back-office operations and enhancing data visibility across the organization. When exposed as tools via the Model Context Protocol (MCP) for an AI coding assistant like Claude, the Avaza API transforms from a static documentation set into a dynamic, actionable toolkit. This integration offers significant value by contextualizing the API within a developer's immediate workflow, dramatically reducing context-switching and cognitive load. Instead of manually writing HTTP requests or parsing raw API schemas, the developer can converse naturally with the AI, which acts as a proxy to the live API. The AI assistant can leverage its understanding of the API's structure to fetch schema details, suggest correct parameter formats, and even draft boilerplate code for API calls. This turns the AI into a collaborative partner that not only explains the API but also demonstrates its practical use in real-time, accelerating development cycles and reducing integration errors by providing immediate, validated feedback on API interactions. Through an MCP server, a developer can instruct the AI agent to perform a variety of dynamic, high-value tasks that automate complex workflows. For example, a user could command, "Query all bookings for the 'Phoenix Project' team for next week and summarize them in a table," allowing the AI to use the GET /ScheduleSeries endpoints to retrieve and synthesize schedule data. Conversely, for write operations, a developer might instruct, "Based on this CSV file, add leave entries for the approved vacation list," prompting the AI to parse the data and execute multiple POST /ScheduleSeries/AddLeave calls efficiently. In the financial domain, tasks can include, "Retrieve the status of all unpaid bills older than 30 days and draft a follow-up email summary," which combines GET /api/Bill queries with text generation. Another example is, "Create a new bill for client Acme Corp with the line items from this project tracker," automating the POST /api/Bill process and ensuring data consistency between project deliverables and invoicing. While the current endpoint listing specifies "None" for authentication, the core documentation correctly emphasizes that all production integrations must adhere to strict security protocols. Developers implementing this API should prioritize setting up the appropriate OAuth2 flows (Authorization Code for server-side applications or Implicit for client-side) or generating and using Personal Access Tokens with the principle of least privilege. Every connection must be encrypted over TLS. When configuring the MCP server, these credentials should be managed securely, preferably via environment variables or a secrets manager, and never hardcoded. It is critical to grant the API token or OAuth scopes only the minimum permissions required for the application's function—for instance, a read-only token for a reporting dashboard versus a full-access token for an automation that creates bookings. Regular auditing of token usage and implementing robust error handling for authentication failures are essential best practices to maintain the security and integrity of the integrated system. This architecture guarantees strict process boundary isolation: all sensitive authorization headers and secret tokens remain sandboxed inside the client runtime, never leaking into language model context windows or external logging endpoints.
Hosted Remote Configuration URL
MCP Configuration FileProvide this hosted URL in any client that supports remote MCP schema auto-loading.
https://mcpbridge.org/config/avaza-com.json2. AI Assistant Use Cases & Practical Workflows
Tailored for CommunicationReal-world execution scenarios demonstrating how LLM agents (Claude 3.7, GPT-4o, Cursor Agent) invoke Avaza API Documentation tools to automate developer workflows.
1. Automated Incident Escalation & Notification Routing
Incident CommsBroadcast priority notifications with rich incident context, system health metrics, and on-call engineer assignment details.
"Dispatch a high-priority incident notification via Avaza API Documentation containing the latest stack trace, affected microservice names, and link to the active monitoring dashboard."
2. Knowledge Base & Workspace Documentation Sync
Knowledge SyncSynchronize newly merged pull request documentation and architectural decision records into searchable workspace hubs.
"Fetch updated technical notes from our repository and sync them into Avaza API Documentation. Ensure headers, code blocks, and parameter tables are correctly formatted in markdown."
3. Omnichannel Customer Ticket Triaging & Sentiment Analysis
Support AutomationClassify incoming customer inquiry tickets, detect customer sentiment urgency, and auto-draft contextual solution proposals.
"Retrieve open customer support tickets from Avaza API Documentation. Classify urgency based on customer sentiment and generate drafted reply outlines for Tier-2 engineering review."
4. Scheduled Webhook Dispatch & Event Orchestration
Event OrchestrationAutomate event notification triggers when deployments complete, staging builds pass, or schema changes are detected.
"Configure an event notification hook in Avaza API Documentation to trigger Slack updates whenever a high-severity deployment event is logged in staging."
End-to-End Multi-Step Agent Execution Lifecycle
When an engineer submits a task to Claude Desktop or Cursor, the LLM executes an autonomous 4-phase Model Context Protocol loop:
Schema Introspection
Handshake lists all 10 tools and builds argument validators.
Argument Synthesis
Model extracts parameters from prompt and validates types against OpenAPI rules.
Stdio Execution
Bridge invokes live API with injected local credentials and captures raw HTTP response.
Output Remediation
LLM parses JSON results, handles status codes, and presents synthesized answers.
3. Multi-Client Installation Matrix & Setup Guides
Select your AI assistant below to view exact configuration file paths, JSON installation snippets, and launch commands.
Claude Desktop
claude_desktop_config.json~/Library/Application Support/Claude/claude_desktop_config.json%APPDATA%\Claude\claude_desktop_config.json~/.config/Claude/claude_desktop_config.json{
"mcpServers": {
"avaza-com": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-openapi",
"https://api.apis.guru/v2/specs/avaza.com/v1/swagger.json"
],
"env": {
"AVAZA_API_DOCUMENTATION_API_KEY": "your_avaza_api_documentation_api_key"
}
}
}
}Cursor IDE
.cursor/mcp.jsonOpen Cursor Settings → Features → MCP Servers, or create .cursor/mcp.json in your project root.
{
"mcpServers": {
"avaza-com": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-openapi",
"https://api.apis.guru/v2/specs/avaza.com/v1/swagger.json"
],
"env": {
"AVAZA_API_DOCUMENTATION_API_KEY": "your_avaza_api_documentation_api_key"
}
}
}
}Saves as .cursor/mcp.json in the download. Move it to your project root.
VS Code / Cline Extension
cline_mcp_settings.jsonPaste into your Cline extension MCP configuration or Roo Code host settings.
{
"mcpServers": {
"avaza-com": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-openapi",
"https://api.apis.guru/v2/specs/avaza.com/v1/swagger.json"
],
"env": {
"AVAZA_API_DOCUMENTATION_API_KEY": "your_avaza_api_documentation_api_key"
}
}
}
}Zed Editor & Docker CLI
Zed / DockerDocker container execution command:
docker run -i --rm -e AVAZA_API_DOCUMENTATION_API_KEY="YOUR_SECRET_VALUE" node:20-alpine npx -y @modelcontextprotocol/server-openapi https://api.apis.guru/v2/specs/avaza.com/v1/swagger.json
Zed settings context servers JSON:
{
"context_servers": {
"avaza-com": {
"command": {
"path": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-openapi",
"https://api.apis.guru/v2/specs/avaza.com/v1/swagger.json"
],
"env": {
"AVAZA_API_DOCUMENTATION_API_KEY": "your_avaza_api_documentation_api_key"
}
}
}
}
}Programmatic SDK Integration (TypeScript / Python)
Initialize the Avaza API Documentation MCP client directly in your backend codebase.
import { Client } from "@modelcontextprotocol/sdk/client/index.js";
import { StdioClientTransport } from "@modelcontextprotocol/sdk/client/stdio.js";
// Initialize Avaza API Documentation MCP client transport over stdio
const transport = new StdioClientTransport({
command: "npx",
args: ["-y","@modelcontextprotocol/server-openapi","https://api.apis.guru/v2/specs/avaza.com/v1/swagger.json"],
env: { AVAZA_API_DOCUMENTATION_API_KEY: process.env.AVAZA_API_DOCUMENTATION_API_KEY || "YOUR_SECRET_KEY" }
});
const client = new Client(
{ name: "avaza-com-client", version: "1.0.0" },
{ capabilities: { tools: {}, resources: {}, prompts: {} } }
);
async function connectAndRun() {
await client.connect(transport);
const tools = await client.listTools();
console.log("Connected to Avaza API Documentation MCP Server.");
console.log("Discovered 10 mapped tools:", tools);
}
connectAndRun().catch(console.error);Raw Stdio Schema Definition
schema.jsonFor standalone CLI wrappers, background daemon daemons, or custom script integrations:
{
"mcpServers": {
"avaza-com": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-openapi",
"https://api.apis.guru/v2/specs/avaza.com/v1/swagger.json"
],
"env": {
"AVAZA_API_DOCUMENTATION_API_KEY": "your_avaza_api_documentation_api_key"
}
}
}
}4. Security, Authentication & Credential Management
Safely configure authentication tokens, isolate execution environments, and implement enterprise security best practices.
Required Environment Keys Reference
| Variable Name | Required | Type | Default | Purpose & Guidance |
|---|---|---|---|---|
| AVAZA_API_DOCUMENTATION_API_KEY | REQUIRED | Secret Key / Token | None (Set in env) | your_avaza_api_documentation_api_key |
Zero-Downtime Token Rotation Protocol
- Generate Secondary Key: Create a new secret API token with identical scopes in your Avaza API Documentation developer portal.
- Update Client Configuration: Insert the new token inside the
envblock of your MCP client JSON config. - Validate Connection: Issue a test query in Claude or Cursor to ensure handshake and tool calls succeed.
- Revoke Stale Token: Decommission the legacy key on the vendor portal to prevent unauthorized access.
Least-Privilege & Sandboxing Rules
- Read-Only Token Scoping: Whenever your workflow only requires querying data, provision read-only credentials to prevent accidental mutations.
- Local Process Isolation: Stdio transports run in isolated local subprocesses; secret credentials are never sent across the internet to MCP Bridge servers.
- Prompt Injection Defense: AI model responses are sandboxed; verify generated destructive arguments before confirming execution in agent mode.
Enterprise Security Checklist (Mandatory Practices)
- Never commit
claude_desktop_config.jsonor.cursor/mcp.jsoncontaining raw secrets into public GitHub repositories. - Add
.cursor/mcp.jsonand.env.localto your project's.gitignorefile. - Always enforce TLS/HTTPS encryption on outbound network requests initiated by the server process.
5. Tool Parameter Schemas & Natural Language Execution
Mapped OpenAPI operations converted into discrete Model Context Protocol tools with strict JSON-RPC payload validators.
/ScheduleSeries/AddBookingCreate new Schedule Booking
{
"jsonrpc": "2.0",
"id": 1,
"method": "tools/call",
"params": {
"name": "avaza-com_post_ScheduleSeries_AddBooking",
"arguments": {}
}
}"Use Avaza API Documentation to execute Create new Schedule Booking and output the formatted result."
/ScheduleSeries/AddLeaveCreate new Leave Booking
{
"jsonrpc": "2.0",
"id": 2,
"method": "tools/call",
"params": {
"name": "avaza-com_post_ScheduleSeries_AddLeave",
"arguments": {}
}
}"Use Avaza API Documentation to execute Create new Leave Booking and output the formatted result."
/ScheduleSeries/EditBookingEdit Booking
{
"jsonrpc": "2.0",
"id": 3,
"method": "tools/call",
"params": {
"name": "avaza-com_put_ScheduleSeries_EditBooking",
"arguments": {}
}
}"Use Avaza API Documentation to execute Edit Booking and output the formatted result."
/ScheduleSeries/EditLeaveEdit Leave Booking
{
"jsonrpc": "2.0",
"id": 4,
"method": "tools/call",
"params": {
"name": "avaza-com_put_ScheduleSeries_EditLeave",
"arguments": {}
}
}"Use Avaza API Documentation to execute Edit Leave Booking and output the formatted result."
/api/AccountAccount Details
{
"jsonrpc": "2.0",
"id": 5,
"method": "tools/call",
"params": {
"name": "avaza-com_get_api_Account",
"arguments": {}
}
}"Use Avaza API Documentation to execute Account Details and output the formatted result."
/api/BillGets list of Bills
{
"jsonrpc": "2.0",
"id": 6,
"method": "tools/call",
"params": {
"name": "avaza-com_get_api_Bill",
"arguments": {}
}
}"Use Avaza API Documentation to execute Gets list of Bills and output the formatted result."
/api/BillCreate a new draft Bill
{
"jsonrpc": "2.0",
"id": 7,
"method": "tools/call",
"params": {
"name": "avaza-com_post_api_Bill",
"arguments": {}
}
}"Use Avaza API Documentation to execute Create a new draft Bill and output the formatted result."
/api/Bill/{id}Gets a Bill by Bill ID
{
"jsonrpc": "2.0",
"id": 8,
"method": "tools/call",
"params": {
"name": "avaza-com_get_api_Bill__id",
"arguments": {}
}
}"Use Avaza API Documentation to execute Gets a Bill by Bill ID and output the formatted result."
6. Interactive Troubleshooting & FAQ Accordion
Diagnose and resolve common JSON-RPC protocol error codes, connection disconnects, and schema refresh issues.
A 401 Unauthorized response indicates that the upstream Avaza API Documentation API rejected the authentication credential supplied in your MCP client's environment configuration. To resolve this: (1) Verify that your secret token is defined inside the "env" block of claude_desktop_config.json or .cursor/mcp.json rather than hardcoded in the command string. (2) Check whether Avaza API Documentation requires a prefix such as "Bearer <token>" in the authorization header. (3) Confirm that your API key has not expired and has been granted sufficient least-privilege scopes on the Avaza API Documentation developer dashboard.
If your MCP client fails to initialize tools for Avaza API Documentation: (1) Test the bridge launcher command ("npx -y @modelcontextprotocol/server-openapi https://api.apis.guru/v2/specs/avaza.com/v1/swagger.json") directly inside your terminal or shell to inspect stdout/stderr diagnostic traces. (2) Verify network connectivity to the schema source (https://api.apis.guru/v2/specs/avaza.com/v1/swagger.json). (3) Ensure Node.js (v18+) is installed and accessible in your system PATH. (4) For authenticated APIs, confirm credentials are configured in your client's "env" mapping rather than command arguments.
MCP clients like Claude Desktop and Cursor query the server's tools list ("tools/list") during startup and cache the resulting JSON Schema for the duration of the application session. If new endpoints or parameters are added to Avaza API Documentation: (1) Fully quit and restart Claude Desktop (Cmd+Q on macOS or File > Exit on Windows). (2) In Cursor IDE, navigate to Settings > Features > MCP Servers, toggle the Avaza API Documentation server off and on, or click the refresh icon to re-execute the initialization handshake.
If the AI model hallucinates parameters or fails to invoke a tool automatically: (1) Add explicit system instructions in your project's .cursorrules or Claude project prompt (e.g., "When querying Communication, always invoke the avaza-com MCP server tools first"). (2) Ensure parameter types match schema specifications (e.g., passing integers as numbers rather than strings). (3) Check that required parameters marked in Section 5 are not omitted from the model's generated payload.
When the Avaza API Documentation upstream endpoint returns an HTTP 429 Too Many Requests response, the MCP server bubbles the structured error payload back to the AI client over stdio. Modern LLMs like Claude 3.7 and Cursor Agent recognize rate-limiting status codes, inspect the "Retry-After" header if present, and will automatically introduce backoff delays or ask the user before retrying the operation.
The Hosted Config URL (https://mcpbridge.org/config/avaza-com.json) provides a static, remote JSON schema definition that cloud-native MCP clients can fetch over HTTPS for dynamic discovery. In contrast, local stdio configurations execute a local subprocess on your workstation. Local stdio processes offer maximum security because secret API keys remain strictly on your local machine and never transit third-party proxy servers.
Similar Communication Configurations
Explore related API bridges with ready-to-use Model Context Protocol schemas.
Slack API
CommunicationSend messages, manage channels, and integrate Slack notifications into your AI agent workflows.
https://mcpbridge.org/config/slack.jsonDiscord API
CommunicationSend messages, manage servers, and integrate Discord bots into your AI agent workflows.
https://mcpbridge.org/config/discord.jsonTwilio API
CommunicationSend SMS, make calls, and manage communication channels through your AI agent.
https://mcpbridge.org/config/twilio.jsonEmail Activity (beta)
CommunicationThe Email Activity (beta) API, provided by [Your Email Service Provider], is a specialized suite of endpoints designed to grant programmatic access to granular email event data and system security configurations. Its core capability revolves around detailed filtering and search across two primary domains: user engagement events (like opens, clicks, and bounces) and security/access control settings. While the event data functionality is limited to a recent two-day window by default, it serves as a powerful tool for real-time monitoring and immediate post-campaign analysis. Typical use cases for enterprise teams include building internal dashboards for marketing performance, automating alerts for campaign anomalies (e.g., a sudden spike in bounces), and developing custom reporting pipelines that feed into business intelligence systems. The associated security endpoints—managing an access whitelist and configuring alert notifications—provide critical administrative control, allowing teams to programmatically define which IP addresses or systems can interact with their email infrastructure and to set up proactive monitoring for potential security or deliverability issues. When exposed as tools to an AI coding assistant via the Model Context Protocol (MCP), the value of the Email Activity API shifts from simple data retrieval to enabling intelligent, context-aware automation and synthesis. An AI agent, such as Claude Desktop or an IDE-integrated assistant, can leverage these endpoints not just to fetch data, but to perform complex reasoning on the results. For instance, instead of a developer manually querying for all "bounce" events, they can instruct the AI to "analyze the last 24 hours of bounce data, group them by recipient domain, and draft an alert for the ops team if the failure rate for our primary domain exceeds 1%." The AI can dynamically combine data from the activity endpoint with the current security whitelist via the `/access_settings/whitelist` endpoint to audit configurations, generating suggestions like "I noticed the marketing automation server's IP is not whitelisted, which may be causing the recent campaign sends to fail. Should I add it?" Practical workflow examples showcase the transformative potential of this integration. A developer can instruct the AI agent to perform dynamic tasks such as: "Query the `/alerts` endpoint, review the current conditions for our 'high bounce rate' alert, and suggest a more sensitive threshold based on the bounce data from the last hour, then propose the corresponding API call to update it." Alternatively, an agent could be tasked to "Audit our security posture by fetching the current whitelist, cross-reference it with recent access logs (if available through a separate log endpoint), and flag any IP addresses that have made numerous requests but are not currently whitelisted, recommending whether to create a new whitelist rule." This allows the AI to act as an operational analyst, continuously monitoring system state and suggesting or implementing administrative actions based on real-time data streams. Critical implementation considerations begin with the "None" authentication method indicated for this beta API, which is a significant security red flag. Developers must assume this is a placeholder or error and seek alternative, robust authentication (like OAuth 2.0 or API key via a secure header) as soon as the API matures. Until then, any integration must treat the endpoints as highly sensitive and be restricted to non-production, sandboxed environments only. When setting up the MCP server, adherence to the principle of least privilege is paramount: the API keys or tokens used should be scoped exclusively to the narrow set of email activity and security endpoints required for the specific workflow, with no unnecessary read/write permissions. Configuration should ensure all API calls are made over TLS, and any locally cached email event data must be treated as confidential, encrypted at rest and in transit to prevent exposure of sensitive user engagement information. Developers must also build in robust error handling for rate limits and the inherent instability of beta endpoints, designing their AI-driven workflows to gracefully manage changes in the API schema without failure.
https://mcpbridge.org/config/sendgrid-com.json