Opus Docs MCP Server
A first-party, publicly reachable MCP server over the Opus developer documentation. It is a READ-ONLY documentation surface: it searches and reads published docs pages and lets a client file docs feedback. It does NOT reach the Opus platform API, a workflow, or a customer account.
One-click install for Cursor, VS Code, Claude, and 20+ other MCP clients, powered by API Commons MCP Install — visit install.apicommons.org for more information.
Documentation
Documentation link · transport streamable-http
Tools
search_opus_docs— Search across the Opus Docs knowledge base to find relevant information, code examples, API references, and guides. Use this tool when you need to answer questions about Opus Docs, find specific documentation, understand how features work, or locate implementation details. The search returns contextual content with titles and direct links to the documentation pages. If you need the full content of…query_docs_filesystem_opus_docs— Run a read-only shell-like query against a virtualized, in-memory filesystem rooted at `/` that contains ONLY the Opus Docs documentation pages and OpenAPI specs. This is NOT a shell on any real machine — nothing runs on the user's computer, the server host, or any network. The filesystem is a sandbox backed by documentation chunks. This is how you read documentation pages: there is no separate "…submit_feedback— Report a problem with this documentation site so the docs team can fix it. Use when a documentation page is incorrect, outdated, confusing, incomplete, or has a broken example. This is for feedback about the documentation content itself — not for product support requests or feedback about this tool or assistant.
About MCP
The Model Context Protocol (MCP) is an open protocol Anthropic introduced for connecting LLM-based agents to external tools and data sources. Providers publish MCP servers that expose their API surface as structured, discoverable tools — an MCP-compatible client (Claude Desktop, Cursor, Cline, Continue, etc.) can connect to the server and call its tools without any per-provider integration code.
Browse every MCP server on the APIs.io network or compare with the broader Agent Skill surfaces of the same providers.
Work with this as data
Every MCP server here is available over the APIs.io API and to AI agents over MCP.