UK Environmental Intelligence MCP Server from MCPBundles
Server Details
Access UK flood warnings, river levels, water quality, Met Office forecasts, and carbon data
- Status
- Unhealthy
- Last Tested
- Transport
- Streamable HTTP
- URL
- Repository
- thinkchainai/mcpbundles
- GitHub Stars
- 0
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Managed credentials
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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 44 of 44 tools scored. Lowest: 3.2/5.
The tools are well-organized into distinct domains (carbon, EA bathing water, EA ecology, EA flood, EA groundwater, EA hydrology, EA rainfall, EA water quality, Met Office), with clear boundaries between domains. Within domains, tools are differentiated by resource and action (e.g., list_sites vs. get_site), though some overlap exists (e.g., ea-flood-areas-621 and ea-flood-get-areas-930 appear similar, and multiple flood warning tools could cause minor confusion).
Naming follows a general pattern of prefix-action-resource (e.g., ea-bw-list-sites), but there is inconsistency in verb usage (e.g., 'get' vs. 'list' vs. 'search' for similar actions) and some deviations like 'carbon-generation-mix-7e3' (no verb) and 'mo-find-nearest-station-e8b' (verb-noun order differs). The mix of conventions reduces predictability, though prefixes help group related tools.
With 44 tools, the count is excessive for a single server, making it cumbersome for agents to navigate. While the server covers broad environmental domains, the high number of tools could be split into multiple focused servers (e.g., separate servers for carbon, EA data, Met Office) to improve usability and reduce cognitive load.
The tool set provides comprehensive coverage across multiple environmental domains, including data retrieval for carbon intensity, bathing water quality, ecology, flood monitoring, groundwater, hydrology, rainfall, water quality, and weather forecasts/observations. Each domain offers CRUD-like operations (primarily read/list/get) with filtering options, and tools link together effectively (e.g., list sites then get details), leaving no obvious gaps for the intended purposes.
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:
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
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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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