SkyOdyssey MCP
Enables AI clients to explore cheapest destinations, optimize multi-leg flight itineraries, and reference airport/region data via MCP tools and resources.
README
SkyOdyssey MCP
SkyOdyssey MCP exposes the SkyOdyssey flight engine as a Model Context Protocol server.
It is designed for AI clients (Claude Desktop, MCP Inspector, custom MCP hosts) that need:
- Cheapest destination exploration
- Multi-leg itinerary optimization
- Region/airport reference resources
Features
- MCP tools for flight search and itinerary optimization
- Shared core logic with
SkyOdyssey-CLI(logic.py,airports.py) - Country/airport/airline filters
- Budget-aware pruning (
max_budget) - Direct-flight filtering
- Multi-origin and flexible stay support for 3-leg itineraries
- SQLite caching (
flights_cache.db, TTL 6h) - Retry/backoff behavior for unstable provider responses
- Pydantic validation on itinerary outputs
Tools Exposed
get_flights_on_date
Fetch one-way flights for a specific route/date.
Inputs:
origin(IATA)destination(IATA)date(YYYY-MM-DD)adults(default1)seat_type(defaulteconomy)
get_cheapest_destinations
Explore a region from one origin/date and return cheapest options.
Inputs:
origindateregion(defaultEurope)limit(default15)adultsseat_typeexcluded_countriesexcluded_airportsdirect_onlyinclude_airlines,exclude_airlinesmax_budget
find_cheapest_two_city_itinerary
Find cheapest 3-leg itinerary loops.
Inputs include:
origin(single airport or list)start_datestay_days_1/stay_days_2(fixed int or[min, max])regionlimit_per_legexcluded_countries,excluded_airportsmax_itinerariesforce_different_countriesdirect_onlyreturn_origin(open-jaw)include_airlines,exclude_airlinesmax_budget
Guardrails:
originlist max:5limit_per_legmax:30max_itinerariesmax:100- stay range window max width:
14days (for each ofstay_days_1andstay_days_2)
Resources
airports://regions→ available regionsairports://{region}→ airport codes for a region
Requirements
- Python 3.10+
- Internet access (provider scraping via
fast-flights)
Installation
From SkyOdyssey-MCP:
python -m pip install -r requirements.txt
Run the Server
python server.py
Server transport:
stdio(configured inserver.py)
Claude Desktop Example
Add to claude_desktop_config.json:
{
"mcpServers": {
"skyodyssey": {
"command": "python",
"args": ["C:/absolute/path/to/SkyOdyssey/SkyOdyssey-MCP/server.py"]
}
}
}
Project Structure
server.py— MCP server entrypoint and tool/resource registrationlogic.py— flight search, filtering, optimization, cacheairports.py— regions, airport datasets, exclusion helpersrequirements.txt— runtime dependencies
Troubleshooting
Import error for fast_flights
- Reinstall dependencies:
python -m pip install -r requirements.txt - Ensure your Python environment is the same one used to run
server.py
Empty or partial results
- Provider instability/timeouts can happen; retry run
- Reduce search width (
limit_per_leg) and/or constraints - Relax filters (
direct_only, exclusions, budget)
Cache issues
- Delete cache if needed:
- Windows PowerShell:
Remove-Item flights_cache.db - Windows cmd:
del flights_cache.db
- Windows PowerShell:
License
MIT License.
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.