Manage MCPs, Skills, and Execution Contexts from a single source of truth.
Model Context Protocols define the endpoints and capabilities available to AI agents.
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Browse CatalogEstablish JSON-RPC-LD runtime provider contracts to lock down MCP integrations.
View Contracts144,000+ curated Claude Skills from the awesome-claude-skills community catalog.
Browse on GitHub{"name": "Filesystem", "stars": 4200}.
JSON is the lingua franca of web APIs and the foundation that JSON-LD and JSON-RPC build on.
@context field that maps
keys to globally unique URIs, turning plain JSON into semantically rich linked data.
This lets different systems agree on meaning without custom integration code.
SkillMerge uses JSON-LD contexts in contracts so that MCPs and consumers share
an unambiguous, machine-readable vocabulary for every capability they exchange.
method name, params,
and an id; the server returns a result or error
with the same id. It works over HTTP, WebSockets, or any transport that
can carry JSON payloads.
ray.train),
data processing (ray.data), and model serving (ray.serve).
Anyscale is the managed platform built on Ray that handles cluster management,
multi-tenancy, and production deployment.
@context that
defines the meaning of its parameters and results. This is the protocol
SkillMerge contracts use to establish runtime provider agreements — ensuring that both the MCP
server and the consuming agent speak the same formally defined language.