Free, no-login MCP server for searching and comparing flights with real-time pricing from multiple airlines and booking platforms worldwide.
Glama MCP Gateway
Connect through Glama MCP Gateway for full control over tool access and complete visibility into every call.
Full call logging
Every tool call is logged with complete inputs and outputs, so you can debug issues and audit what your agents are doing.
Tool access control
Enable or disable individual tools per connector, so you decide what your agents can and cannot do.
Managed credentials
Glama handles OAuth flows, token storage, and automatic rotation, so credentials never expire on your clients.
Usage analytics
See which tools your agents call, how often, and when, so you can understand usage patterns and catch anomalies.
Average 4.6/5 across 1 of 1 tools scored.
With only one tool, there is no possibility of confusion. The tool's purpose is clearly distinct by default.
With a single tool, naming consistency is trivially perfect. The tool name 'search' is a simple verb, but no inconsistency exists.
The server has only one tool for flight search. While it covers the core purpose, the surface is thin; typically a flight server might include multiple operations like booking or status, but the tool explicitly limits scope to search.
The server provides a comprehensive search tool with detailed parameters, but lacks any action beyond searching (e.g., booking, modifying). The stated scope is search-only, so it is complete within that narrow definition, but leaves obvious gaps for a full flight service.
searchASearches live flight offers between an origin and destination for given travel dates. Supports one-way (omit return_date) and round-trip searches with flexible passenger counts and cabin class. Use this when the user wants to compare available flights, airlines, prices, layovers, or booking links for a specific route. Do not use it for rental cars, hotels, trains, or general travel planning unless the user has flight-search intent. The tool queries external flight aggregator APIs in real time, returns price-ranked results grouped by number of stops, and includes affiliate booking links. Results and booking links are valid for approximately 15 minutes due to real-time airline pricing. It does not book flights, modify reservations, charge users, or store user data.
| Name | Required | Description | Default |
|---|---|---|---|
| adults | No | Number of adult passengers (1-9). Defaults to 1. | |
| locale | No | Preferred language code (e.g. en, de, fr). Defaults to en. | en |
| origin | Yes | Departure city, airport name, or IATA code (e.g. 'Frankfurt', 'JFK', 'London Heathrow'). | |
| infants | No | Number of infants under 2 (0-9). Defaults to 0. | |
| children | No | Number of children aged 2-11 (0-9). Defaults to 0. | |
| currency | No | Preferred ISO 4217 currency code for prices (e.g. EUR, USD, GBP). Defaults to EUR. | EUR |
| trip_class | No | Cabin class: Y for economy, C for business. Defaults to Y. | Y |
| destination | Yes | Arrival city, airport name, or IATA code. | |
| return_date | No | Return date for round-trip. Omit for one-way flights. | |
| departure_date | Yes | Departure date. Accepts common formats such as YYYY-MM-DD, DD.MM.YYYY, or natural-language dates. |
| Name | Required | Description |
|---|---|---|
| result | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Beyond annotations (readOnlyHint, idempotentHint, destructiveHint), the description adds real-time external API querying, price-ranked results grouped by stops, affiliate booking links, and 15-minute validity. It also clarifies it does not book flights, modify reservations, or store user data.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is well-structured, starting with core function, then usage guidelines, then behavioral details. It is informative but slightly long; however, each sentence serves a purpose.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's complexity (10 parameters, real-time API, output with links and pricing), the description covers purpose, usage, behavioral traits, and limitations (15-minute validity). Output schema exists, so return values are covered. Complete for effective use.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100% with each parameter described in the input schema. The description repeats that return_date can be omitted for one-way trips, which is already in the schema. No additional semantic depth beyond what the schema provides.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states it searches live flight offers between origin and destination for given dates, supports one-way and round-trip with flexible passengers and cabin class. It distinguishes itself from non-flight searches, making the purpose unambiguous.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Explicitly says 'Use this when the user wants to compare available flights...' and 'Do not use it for rental cars, hotels, trains...', providing clear when-to-use and when-not-to-use guidance.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Claiming proves that you control a remote MCP connector. It does not move, proxy, or interrupt the server.
Open the connector listing, choose Claim ownership, and sign in to Glama.
Complete one verification method:
GitHub identity — fastest for official registry listings. For a namespace such as io.github.alice/server, link the matching GitHub user or an account that owns the GitHub organization, then choose Claim with GitHub.
HTTP challenge — works when you can deploy a public file. Generate a token, publish the exact JSON Glama shows at /.well-known/glama.json on the same origin as the connector, then choose Check HTTP challenge.
DNS challenge — works when you control DNS but cannot change the server. Generate a token, create the exact TXT record Glama shows, wait for it to propagate, then choose Check DNS challenge.
After verification, Glama sends a confirmation email and gives you access to listing details, thumbnails, health checks, and analytics. Keep the HTTP file or DNS record in place: Glama periodically checks it and ownership remains verified while the token is discoverable.
The HTTP ownership file has this structure:
{
"$schema": "https://glama.ai/mcp/schemas/connector.json",
"claim": "glama_claim_..."
}Claim tokens are opaque, stable, and bound to the signed-in Glama account. They contain no email address or other personal information. If Glama can no longer discover a verified HTTP or DNS token, it starts a seven-day grace period before removing claim-based access. Restore the same token during that period to keep ownership verified. Never publish an email address, Glama session token, GitHub token, or connector credential as ownership proof.
If verification fails, confirm that you copied the current token exactly. The HTTP file must be public, return valid JSON with a successful HTTP response, and stay on the connector's origin. DNS changes may need more time to propagate. A claim cannot transfer to a different origin or hostname: if the connector target changes, Glama starts the grace period and the new target must be claimed separately after the previous claim is released.
For a connector linked to the official MCP Registry, registry updates continue to replace its name, description, and URL by default. After claiming, open Manage connector and enable Use Glama listing details as the source of truth if edits made on Glama should be preserved. Categories and thumbnails are always managed on Glama; registry linkage and technical connection settings continue to sync.
Control your server's listing on Glama, including description and metadata
Access analytics and receive server usage reports
Get monitoring and health status updates for your server
Feature your server to boost visibility and reach more users
For users:
Full audit trail – every tool call is logged with inputs and outputs for compliance and debugging
Granular tool control – enable or disable individual tools per connector to limit what your AI agents can do
Centralized credential management – store and rotate API keys and OAuth tokens in one place
Change alerts – get notified when a connector changes its schema, adds or removes tools, or updates tool definitions, so nothing breaks silently
For server owners:
Proven adoption – public usage metrics on your listing show real-world traction and build trust with prospective users
Tool-level analytics – see which tools are being used most, helping you prioritize development and documentation
Direct user feedback – users can report issues and suggest improvements through the listing, giving you a channel you would not have otherwise
The connector status is unhealthy when Glama is unable to successfully connect to the server. This can happen for several reasons:
The server is experiencing an outage
The URL of the server is wrong
Credentials required to access the server are missing or invalid
If you are the owner of this MCP connector and would like to make modifications to the listing, including providing test credentials for accessing the server, please contact support@glama.ai.
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