google-maps-mcp-server
Server Details
Search Google Maps businesses via MCP - name, address, phone, rating, hours, GPS.
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP
- URL
- Repository
- Sagar27888/google-maps-mcp-server
- GitHub Stars
- 0
- Server Listing
- Google Maps MCP Server
Available Tools
1 toolsearch_google_mapsAInspect
Search Google Maps for businesses/places by keyword and location. Returns name, address, phone, rating, opening hours, and GPS coordinates for each result.
| Name | Required | Description | Default |
|---|---|---|---|
| language | No | Language code for results, e.g. "en", "es", "fr". | |
| maxResults | No | Maximum places to return per query (default 20, max 500). | |
| searchQueries | Yes | One or more search terms, e.g. "restaurants in Delhi" or "dentists in Austin TX". |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the behavioral burden. It does indicate a non-mutating search action and describes the output, which is helpful. However, it does not disclose potential concerns such as network/API dependencies, rate limits, or behavior when no results match, so transparency is adequate but not thorough.
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 entire description is one efficient sentence that front-loads the action and resource, then immediately states the return fields. Every element contributes meaning and there is no filler or 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 straightforward search tool, the description plus the 100%-covered schema is nearly complete: intended use, input requirements, and output fields are all covered. It falls slightly short of 5 only because it omits any caveats or edge-case behavior, which could matter in a no-output-schema, no-annotation context.
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 the schema already documents searchQueries, maxResults, and language adequately. The description adds no parameter-level detail beyond the schema's own descriptions, so the baseline score of 3 is appropriate.
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 opens with a specific verb ('Search'), names the resource ('Google Maps'), and defines the scope ('businesses/places by keyword and location'), then lists the concrete fields returned. This leaves no ambiguity about what the tool does, even with no sibling tools to contrast against.
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 phrase 'by keyword and location' clarifies the intended input pattern, and the returned-field list signals when the tool is useful. There are no explicit exclusions or alternative tools named, but with no sibling tools provided, the context is clear enough for an agent to select it for place discovery queries.
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. Dates show when Glama detected each change.
1 tool update
- First observed
search_google_maps
Frequently Asked Questions
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io.github.alice/server, link the matching GitHub user, then choose Claim with GitHub. An organization namespace such asio.github.acme/serveralso needs that organization to have installed the Glama AI GitHub App and approved its permissions, because GitHub discloses organization membership only to apps it has installed. Use HTTP or DNS when it has not.HTTP challenge — works when you can deploy a public file. Generate a token, publish the exact JSON Glama shows at
/.well-known/glama.jsonon 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_..."
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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.
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To improve your MCP server's ranking:
Claim ownership of the server listing
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Keep tool definitions clear and complete to earn a high Tool Definition Quality Score (TDQS)
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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
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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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TSQS
Score is being calculated.