Schema | compare-mcp

compare-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": false }
`prompts`	{ "listChanged": false }
`resources`	{ "subscribe": false, "listChanged": false }
`experimental`	{}

Functions exposed to the LLM to take actions

Name	Description
compare_modelsA	List all configured providers with their enabled status, type, and model. Does not expose API keys.
compare_runA	Fan out a code review to all enabled providers (or a subset) in parallel. Args: code: The source code to review. issue: Description of the bug or task. providers: Optional list of provider names to query. Defaults to all enabled.
compare_diffA	Diff provider responses: extract unique vs shared insights using fuzzy matching. Args: responses: Output from compare_run.
compare_debateC	Run a debate round where each model critiques others' findings, then synthesize. Args: responses: Output from compare_run. rounds: Number of debate rounds (default 1).
compare_todosB	Write ranked findings to the SQLite todo store. Args: findings: List of {title, description, severity, source_providers}. code_file: Optional file path the findings relate to.
compare_statusA	Return current todos grouped by status (pending, in_progress, done). Args: code_file: Optional filter by file path.
compare_todo_updateB	Update a todo's status. Args: todo_id: The todo ID to update. status: New status — one of 'pending', 'in_progress', 'done'.

Interactive templates invoked by user choice

Name	Description
No prompts

Contextual data attached and managed by the client

Name	Description
No resources

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

curl -X GET 'https://glama.ai/api/mcp/v1/servers/Cristophereasygoing927/compare-mcp'

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