Hospirfq Processor
FreeNot checkedExposes RFQ, travel, and hospitality operations as MCP tools backed by a GraphQL API.
About
Exposes RFQ, travel, and hospitality operations as MCP tools backed by a GraphQL API.
README
mcp_hospirfq_processor exposes RFQ, travel, and hospitality operations as
SilvaEngine MCP tools backed by the rfq_engine GraphQL API.
The package provides a processor facade and MCP configuration for a host runtime. It is not a standalone MCP server executable.
Capabilities
The module registers 38 tools across these areas:
- RFQ request creation, updates, item assignment, and quote generation
- Item and provider inventory lookup
- Quote updates, pricing, discounts, and installments
- Availability checks and hold lifecycle management
- Bundle and itinerary discovery
- Cancellation policy lookup
- Hospitality catalog inquiry
- RFQ file and segment-contact operations
Flights use the same tools as other hospitality products. Domain behavior is
expressed through item data such as item_type="flight",
pricing_mode="per_pax_type", uom="seat", dated batches, and passenger
breakdowns.
Architecture
MCPHospiRFQProcessor composes domain mixins over a shared
GraphQLBackedProcessor:
MCP host
-> MCP_CONFIGURATION
-> MCPHospiRFQProcessor
-> domain mixins
-> GraphQLClient
-> rfq_engine
Each mixin owns one domain concern and uses the shared GraphQL client. The facade initializes that client once and exposes the combined tool surface.
Installation
Python 3.11 or later is required.
python -m pip install -e ".[dev]"
silvaengine-utility must be available from the configured package source.
Configuration
The host creates the processor with a logger and settings dictionary, then assigns the request-specific endpoint and partition identifiers:
import logging
from mcp_hospirfq_processor import MCPHospiRFQProcessor
settings = {
"graphql_modules": {
"rfq_engine": {
"class_name": "RFQEngine",
"endpoint": "https://example.test/graphql/{endpoint_id}",
"x_api_key": "replace-me",
}
},
"sales_rep_emails": {},
}
processor = MCPHospiRFQProcessor(logging.getLogger(__name__), **settings)
processor.endpoint_id = "endpoint-id"
processor.part_id = "partition-id"
The GraphQL module key must be rfq_engine. The endpoint template may use
{endpoint_id}. Requests send x-api-key and Part-Id headers.
Usage
The MCP host loads:
from mcp_hospirfq_processor import MCP_CONFIGURATION, MCPHospiRFQProcessor
Tool arguments use snake_case. The processor converts GraphQL variables to the backend's expected camelCase fields and converts response keys back to snake_case.
Availability and cancellation operations require a partition_key. Holds
also require a provider item, service window, and quantity. A hold should be
confirmed when a booking is committed, released when abandoned, or expired by
the operational expiry process.
Development
Run the local mocked test suite:
python -m pytest -q
python -m compileall -q mcp_hospirfq_processor
The current tests mock GraphQL execution. They verify tool registration,
argument mapping, response normalization, error propagation, status
transitions, and flight/hospitality conventions. They do not validate a live
rfq_engine deployment, network authentication, inventory contention, or
scheduled hold expiry.
See docs/DEVELOPMENT_PLAN.md for implementation status, ownership boundaries, and remaining validation work.
Installing Hospirfq Processor
This server has no published package — it is built from source. Open the repository and follow its README.
▸ github.com/ideabosque/mcp_hospirfq_processorFAQ
Is Hospirfq Processor MCP free?
Yes, Hospirfq Processor MCP is free — one-click install via Unyly at no cost.
Does Hospirfq Processor need an API key?
No, Hospirfq Processor runs without API keys or environment variables.
Is Hospirfq Processor hosted or self-hosted?
A hosted option is available: Unyly runs the server in the cloud, no local setup required.
How do I install Hospirfq Processor in Claude Desktop, Claude Code or Cursor?
Open Hospirfq Processor on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.
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