Schema | google-meridian-mcp

google-meridian-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`	{}

Functions exposed to the LLM to take actions

Name	Description
list_doc_sourcesA	List all available Google Meridian documentation sources, user guides, API references, and GitHub repository links.
search_doc_topicsA	Search Google Meridian documentation by topic or keyword (e.g., 'adstock', 'priors', 'budget optimizer', 'NUTS', 'R-hat', 'DAG', 'causal').
fetch_docsB	Fetch and parse Google Meridian documentation or code into clean Markdown.
get_control_point_guideB	Provides operational parameters, math formulas, and bounds for data science control points.
get_mmm_workflow_guideB	Provides decision trees and iteration rules for modeling phases and iteration loops.
calculate_bayesian_priorA	Solves probability equations to convert 95% CIs into Meridian LogNormal (mu, sigma) prior parameters.
audit_model_first_principlesC	Audits model spec for identifiability, knot density, prior variance, and Hill parameter bounds.
synthesize_meridian_codeC	Synthesizes clean, portable, cloud-agnostic Python code for Google Meridian.
generate_schema_templateC	Generates a synthetic benchmarking CSV schema template matching Meridian's input format.

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/muhammad1azmi/google-meridian-mcp'

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