travelMCP Directory
Server Details
Search MCP servers, agent skills and APIs for travel: hotel ID mapping, rates, rooms.
- Status
- Healthy
- Uptime
- 72.3% over 22 days
- Last Tested
- Transport
- Streamable HTTP · MCP 2025-11-25
- URL
TDQS
Scored across 3 tools
Each tool has a clearly distinct responsibility: searching listings, listing categories, and fetching details by slug. There is no overlap between these operations.
All tool names follow a consistent lowercase verb_noun pattern: get_tool_details, list_categories, search_travel_tools. The naming is predictable and easy to infer.
Three tools is well-scoped for a read-only directory server. Search, category browsing, and detail lookup cover the core needs without redundancy.
The core directory workflow is well covered. The only minor gap is the lack of an explicit 'list all tools' or category-filtered listing, which may require a search term to discover entries.
Available Tools
3 toolsget_tool_detailsGet a listing in fullARead-onlyInspect
Fetch one directory listing by slug, including its full description, install snippet and setup documentation. Use the slug returned by search_travel_tools.
| Name | Required | Description | Default |
|---|---|---|---|
| slug | Yes | Listing slug, for example "room-matching-api" |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description is consistent with the readOnlyHint and openWorldHint annotations, and it adds useful context about what the response contains. It does not mention missing-slug behavior or formatting, but the annotations already communicate that this is a safe read operation.
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?
Two concise sentences with no filler: the first states the core action and return contents, the second gives the operational prerequisite. Everything earns its place.
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?
For a one-parameter read-only retrieval tool, the definition is largely complete: it identifies the resource, the slug source, and the main response components. It lacks an explicit not-found response description, but this is a minor gap given the simple scope and existing annotations.
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?
The schema fully documents the slug parameter with an example, so the baseline is 3. The description adds extra value by explaining that valid slugs come from search_travel_tools, which gives the agent operational grounding beyond the schema.
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 names a specific operation ('Fetch one directory listing by slug') and the exact contents returned (full description, install snippet, setup documentation). It also distinguishes this tool from its siblings by pointing to search_travel_tools as the source of the slug.
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?
'Use the slug returned by search_travel_tools' provides clear when-to-use guidance by tying this tool to a preceding search call. It does not explicitly contrast with list_categories, but for a simple retrieval follow-up step the usage context is clear enough.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
list_categoriesList directory categoriesARead-onlyInspect
List every category in the directory with its slug and how many listings it holds. Travel-specific categories such as hotel ID mapping and room type mapping are marked as pinned.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true and openWorldHint=true, so the safety profile is covered. The description adds useful behavioral detail: it returns slug and listing count per category and marks travel-specific categories as pinned. This goes beyond the annotations without contradicting them.
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?
Two sentences with no fluff. The main action and scope are front-loaded, followed by the useful pinned-category detail. Every sentence earns its place.
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?
For a zero-parameter, read-only listing tool, the description is fully sufficient. It explains what is returned (every category, slug, listing count, pinned status), and no output schema exists to cover this. No critical information is missing.
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?
The input schema has zero parameters, so parameter semantics are largely not applicable. The baseline for a zero-parameter tool is 4, and the description appropriately focuses on return values instead of parameters.
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 uses a specific verb and resource: 'List every category in the directory' with its slug and listing count. It also clarifies the pinned marking for travel-specific categories, making the tool's scope and output clear. This differentiates it from siblings like search_travel_tools and get_tool_details.
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?
The description implies a broad browsing use case—listing all categories—but does not explicitly state when to prefer this over search_travel_tools or get_tool_details. Sibling names provide some contextual differentiation, but no explicit when-to-use versus alternatives is given.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
search_travel_toolsSearch travel MCP toolsARead-onlyInspect
Search the OmniTravel directory of MCP servers, agent skills and APIs for travel technology. Returns matching tools with their tagline, category, author and URL. Typo-tolerant full-text search.
| Name | Required | Description | Default |
|---|---|---|---|
| type | No | Restrict to one kind of listing | |
| limit | No | Maximum results, default 10 | |
| query | No | Search phrase, for example "hotel id mapping" or "browser automation" | |
| category | No | Category slug filter, for example "hotel-id-mapping" or "web-scraping" |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true and openWorldHint=true, so the safety profile is covered. The description adds useful behavioral context beyond the annotations: typo-tolerant full-text search and the specific result fields returned. There is no contradiction with the annotations.
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 two compact sentences with no wasted words. It front-loads the action and resource, then adds return shape and matching behavior without repeating schema details.
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?
For an all-optional 4-parameter tool with no output schema, the description plus schema adequately cover invocation and result contents. It could clarify behavior when query is omitted or how pagination works, but limit defaults are in the schema and the return fields are stated.
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 description coverage is 100%, so each parameter is already documented, including the enum for type and examples for query and category. The description reinforces query semantics with 'typo-tolerant full-text search' but does not need to compensate for missing schema details.
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 names a specific verb and resource: 'Search the OmniTravel directory of MCP servers, agent skills and APIs for travel technology.' It also lists the returned fields (tagline, category, author, URL), which clearly differentiates it from the sibling tools get_tool_details and list_categories.
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?
The description establishes this tool as the directory's search entry point and the optional type/category/limit filters in the schema clarify scoping. It does not explicitly name when not to use it or mention sibling alternatives, but the search-focused context is clear and no prerequisites are needed.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
3 tool updates
- First observed
get_tool_details - First observed
list_categories - First observed
search_travel_tools
Related MCP Connectors
Hotel booking MCP server. Search, book, and manage reservations across 250K+ properties worldwide.
Search hotel prices, get best overall and best direct price in structured response. Get your developer token at https://Infoseek.ai/mcp
Real-time Booking.com rates for agents. Three things people do with this server. Scan for rate gaps: price_as_seen_from prices the same room from another market, so an agent can sample a property across countries and compare. Put live search in your app: search a destination or look a property up by name, no internal IDs, room-level rates as flat JSON. Run a 24/7 AI travel agent: add the server, sign in with Google, and schedule it. No ads, no sponsored content. You bring your own RapidAPI key, so every search is billed to your plan and never to anyone else's. Add https://hotels.flightpowers.com/mcp , click Sign in, sign in with Google, and paste your RapidAPI key once on the page that opens. Scripts and clients without a sign-in button send the key as x-rapidapi-key on the same URL.
Travel & commerce intelligence for AI agents: search, book & price-track hotels, events, retail.
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