Foundry MCP Server

by qwert666

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Python

Remote

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Deploy Server

One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

TDQS

B3.1/5.0

Scored 2026-04-18 10:45 across 5 tools

Disambiguation5/5

Each tool has a clearly distinct purpose with no overlap. execute_function runs code, list_functions enumerates functions, list_ontology_types lists types, query_dataset queries datasets, and query_ontology_type queries specific ontology types. The descriptions clearly differentiate their scopes and usage contexts.

Naming Consistency5/5

All tools follow a consistent verb_noun pattern using snake_case. The verbs (execute, list, query) are appropriately chosen for their actions, and the nouns (function, ontology_type, dataset) clearly indicate the target resources. No deviations or mixed conventions are present.

Tool Count5/5

With 5 tools, this server is well-scoped for its apparent domain of data and function management in a Foundry context. Each tool serves a distinct and necessary purpose, covering listing, querying, and execution operations without bloat or redundancy.

Completeness4/5

The toolset provides solid coverage for querying and listing operations on functions, datasets, and ontology types, with execute_function enabling action. A minor gap exists in update/delete operations for these resources, but agents can likely work with the provided read/execute capabilities for common workflows.