Schema | browse-ai

browse-ai

Describes the environment variables required to run the server.

Name	Required	Description
`SERP_API_KEY`	No	Tavily API key for web search (not needed if using BROWSE_API_KEY)
`BROWSE_API_KEY`	No	BrowseAI Dev API key (replaces SERP_API_KEY and OPENROUTER_API_KEY)
`OPENROUTER_API_KEY`	No	OpenRouter API key for LLM (not needed if using BROWSE_API_KEY)

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Features and capabilities supported by this server

Protocol revision2025-11-25

Capability	Details
`tools`	{ "listChanged": true }

Functions exposed to the LLM to take actions

Name	Description
browse_searchC	Search the web for information on a topic. Returns URLs, titles, snippets, and relevance scores.
browse_openB	Fetch and parse a web page into clean text using Readability. Strips ads, nav, and boilerplate.
browse_extractC	Extract structured knowledge (claims + sources + confidence) from a single web page using AI.
browse_answerB	Full deep research pipeline: search the web, fetch pages, extract claims, build evidence graph, and generate a structured answer with citations and confidence score.
browse_compareC	Compare a raw LLM answer (no sources) vs an evidence-backed answer. Shows the difference between hallucination-prone and grounded responses.

Interactive templates invoked by user choice

Name	Description
No prompts

Contextual data attached and managed by the client

Name	Description
No resources

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/BrowseAI-HQ/BrowseAI-Dev'

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