Three tools over HoneyHive's documentation, including a read-only shell against an in-memory filesystem of the docs.
LABSCO SUMMARY
Search returns what a ranking function thinks you meant; a shell lets the agent ask precisely — every file mentioning a parameter, the tree under one section.
HoneyHive's documentation endpoint, which is reachable without credentials and identifies itself as HoneyHive AI Docs 1.0.0. It declares itself read-only and scoped to published documentation.
None.
Paste a URL — add the endpoint to your client
USE CASES
Search first, then query the docs filesystem for the exact reference.
Send the path and the problem to the docs team from where you found it.
Counted once with only startup setup. Other versions, modes or optional credentials may expose a different list.
search_honey_hive_ai_docsSearch across the HoneyHive AI Docs knowledge base to find relevant information, code examples, API references, and guides. Use this tool when you need to answer questions about HoneyHive AI 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.
query_docs_filesystem_honey_hive_ai_docsRun a read-only shell-like query against a virtualized, in-memory filesystem rooted at / that contains ONLY the HoneyHive AI 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 "get page" tool. To read a page, pass its .mdx path (e.g. /quickstart.mdx, /api-reference/create-customer.mdx) to head or cat.
submit_feedbackReport 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 Use when a documentation page is incorrect, outdated, confusing, incomplete, or has a broken example.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.
BEFORE YOU INSTALL
3 tools when we connected.
an MCP client that can reach a remote endpoint
CONTEXT COST
Rated by the size of the 3 tool definitions that ride along on every turn, not by how many there are
INSTALLATION
Add the endpoint to your client.
https://docs.honeyhive.ai/mcp