Schema | mcp-llm-behave

mcp-llm-behave

Describes the environment variables required to run the server.

Name	Required	Description	Default
No arguments

Features and capabilities supported by this server

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
run_behavior_testA	Run a single behavioral assertion using llm-behave embedding similarity. Checks whether the model output semantically satisfies the expected behavior. Uses sentence-level max similarity so long outputs are handled correctly.
compare_outputsA	Compare two LLM outputs for semantic similarity (regression detection). Useful for catching silent model regressions: run this in CI against a known-good baseline output to detect drift when you change prompts or models.
list_builtin_behaviorsA	Return the catalog of built-in behavioral checks available in llm-behave. Returns: list of dicts, each with 'name', 'method', and 'description' keys.

Interactive templates invoked by user choice

Name	Description
No prompts

Contextual data attached and managed by the client

Name	Description
No resources

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