acceldata-mcp.yml

Endpoint

Hosted endpoint · transport http-jsonrpc

Connect

This is a remote MCP server — point an MCP client at the endpoint URL. Clients with native remote support (Claude, Cursor, VS Code, …):

For stdio-only clients (older Claude Desktop, etc.), bridge with mcp-remote:

If the server requires authentication, add the provider's token/header (e.g. an X-API-Key) per its docs. A quick reachability check:

Tools

• list_products — List published documentation products for this workspace.
• list_tabs — List tabs with published pages. Optionally filter by product_slug.
• list_sections — List sections/subsections with published pages. Supports product/tab filters and parent section.
• list_pages — List published pages with rich metadata. Supports product/tab/section/parent filters.
• search_published_docs — Search published documentation pages and return ranked matches with URLs and snippets. Always cite the source URL for each result you use in your response — format as [Page Title](url).
• get_published_doc — Fetch the full content of one published page by page_id, slug, or URL path. The response includes the page URL — always cite it as [Page Title](url) when presenting this content to a user.
• get_page_metadata — Get navigation and hierarchy metadata for one published page.
• generate_class — Generate a structured class/lesson from documentation on a given topic. Searches relevant pages, gathers content, and returns it with instructions for creating a class with modules, exercises, and quizzes. Returns source content and a trans
• generate_deck_content — Gather documentation content for building a presentation/slide deck on a topic. Returns source content and slide planning instructions tailored to the target audience.
• generate_translation — Gather documentation content and return it with instructions for translating into a target language while preserving structure. Code blocks and product names stay in English.
• generate_role_guide — Gather documentation and return it with instructions for reframing the content for a specific role (admin, developer, executive, data-engineer, analyst, etc.).
• generate_learning_path — Gather documentation for a self-paced learning guide with progressive stages. Returns source content and instructions for building a structured learning path with checkpoints, exercises, and key concepts.
• generate_best_practices — Search documentation broadly for a topic and return content with instructions for extracting and organizing best practices, anti-patterns, and recommendations.

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.

curl "https://apis.io/api/v1/mcp/acceldata-mcp-yml"

curl "https://apis.io/api/v1/mcp?limit=25"