Schema | Branch Diagnostics MCP

Branch Diagnostics MCP

Describes the environment variables required to run the server.

Name	Required	Description	Default
No arguments

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Features and capabilities supported by this server

Protocol revision2025-11-25

Capability	Details
`tools`	{ "listChanged": true }
`logging`	{}
`prompts`	{ "listChanged": false }
`resources`	{ "subscribe": false, "listChanged": false }
`extensions`	{ "io.modelcontextprotocol/ui": {} }
`experimental`	{}

Functions exposed to the LLM to take actions

Name	Description
diagnostic_categorizeA	Step 1 of the funnel: classify a free-text symptom into the most likely diagnostic category, with a confidence score and the scores for every category.
find_metricsA	Step 2 of the funnel: for a symptom and category, return the cURL metrics most worth collecting, each with its definition and why it is relevant.
get_data_metricsA	Step 3 of the funnel: fetch current values, rolling averages, and thresholds for the given metrics at a location. Data is simulated by default (`simulated` is true); swap the data source for a real backend in production.
analyseA	Step 4 of the funnel: evaluate collected metric data against thresholds, surface anomalies with severities, and return recommendations and next steps.

Interactive templates invoked by user choice

Name	Description
`branch_diagnostics_guidance`	Reusable system guidance that teaches a client how to drive the funnel.

Contextual data attached and managed by the client

Name	Description
`get_categories`	All diagnostic categories with their metrics and typical symptoms.
`get_metrics`	All cURL (CURLINFO_*) metric definitions.

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/Fromzy1/branch_mcp_v2'

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