automotive-mcp-server
Server Details
Cars.com listings, VIN lookups, and dealer inventory for car-buying assistants.
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP
- URL
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.
Tool Definition Quality
Average 4.1/5 across 2 of 2 tools scored.
The two tools have clearly distinct purposes: one for market price analysis and one for searching actual listings. An agent can easily differentiate them.
Both use underscores, but 'car_market_analysis' is a noun phrase while 'search_cars' is verb_noun, showing a mix of conventions.
With only two tools, the server feels thin for the automotive domain, lacking common operations like vehicle details or comparisons.
The tool surface covers only price analysis and listing search, missing many expected operations such as detailed vehicle info, comparison, or inventory management.
Available Tools
2 toolscar_market_analysisARead-onlyInspect
Analyze car market prices for a specific make/model. Returns price ranges and dealer inventory.
Args: make: Car make (e.g. 'Honda') model: Car model (e.g. 'Civic') year: Model year (optional, 0 for all years)
| Name | Required | Description | Default |
|---|---|---|---|
| make | Yes | ||
| year | No | ||
| model | Yes |
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already indicate readOnlyHint and openWorldHint. Description adds that it returns price ranges and dealer inventory, which is useful but does not disclose data freshness, computation method, or potential side effects beyond 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?
Two concise sentences plus a clear Args block. Purpose is front-loaded. Every sentence adds value with no redundancy.
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 simple tool with 3 parameters and no output schema, the description adequately covers purpose, return values, and parameter details. Missing details about data sources or precision, but still complete enough for selection and invocation.
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 0%, but the description includes an Args section that explains each parameter with examples (e.g., 'make: Car make (e.g. Honda)') and clarifies the optional year parameter's default. This adds significant meaning beyond the raw 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?
Clearly states 'Analyze car market prices for a specific make/model. Returns price ranges and dealer inventory.' The verb 'analyze' and resource 'car market prices' are specific. Differentiates from sibling 'search_cars' by focusing on price analysis rather than general search.
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?
Implies usage for analyzing prices of a specific make/model but does not explicitly state when to use versus sibling 'search_cars'. No when-not or alternative guidance provided.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
search_carsARead-onlyInspect
Search Cars.com for vehicle listings. Returns prices, mileage, dealer info.
Args: make: Car make (e.g. 'Toyota') model: Car model (optional, e.g. 'Camry') zip_code: ZIP code for local results (optional) max_results: Max results (default 20)
| Name | Required | Description | Default |
|---|---|---|---|
| make | No | ||
| model | No | ||
| zip_code | No | ||
| max_results | No |
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint and openWorldHint. Description adds return fields but no extra behavioral context.
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?
Concise: one sentence summary plus bullet-point Args. Every sentence adds value, front-loaded.
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?
Describes return fields and parameter usage. Lacks details on pagination or filtering, but sufficient for a simple search tool.
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 has 0% description coverage; description compensates by explaining each parameter with examples and defaults.
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?
Clear verb 'Search' and resource 'Cars.com vehicle listings'. Distinguishes from sibling 'car_market_analysis' which is for analysis.
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?
Implies use for finding listings, but no explicit when-to-use or comparison to sibling tool.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Claim this connector by publishing a /.well-known/glama.json file on your server's domain with the following structure:
{
"$schema": "https://glama.ai/mcp/schemas/connector.json",
"maintainers": [{ "email": "your-email@example.com" }]
}The email address must match the email associated with your Glama account. Once published, Glama will automatically detect and verify the file within a few minutes.
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For users:
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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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