Search and fetch web pages as plain text with lower token usage.
The materials indicate this MCP tool mainly performs web search and web fetching through a terminal browser, with no declared secrets or fixed remote endpoints. Overall, there are no clear high-risk red flags, but its local code execution and network access capabilities, combined with weak adoption and unknown maintenance status, warrant caution.
The materials explicitly state that no keys or environment variables are required, and there is no indication of API tokens, account credentials, or other sensitive authentication data, so credential exposure and abuse risk appears low.
The tool provides web_search and web_fetch, which by design access external web resources and return results, representing normal network egress for this type of tool. Although no fixed remote endpoint is declared and there is no sign of unknown collection endpoints, user queries and target page requests would likely be sent outward.
The system checks indicate that it executes code, and the description shows it relies on the local tbro terminal browser, implying invocation of local programs or processes. This is a normal local execution capability for an MCP tool, and the provided materials do not show high-privilege actions beyond its stated purpose.
The description only states that it fetches webpage text and does not declare access to specific local files, databases, or system resources; however, as a locally running tool, its effective access still depends on the runtime account and host configuration. The materials do not prove overbroad access, but they also lack detailed permission boundaries.
The project is open source under the MIT License, and its source is auditable, which clearly lowers risk; however, it comes from a third-party registry, has 0 stars, and has unknown maintenance status, so public trust signals and ongoing maintenance evidence are weak, warranting caution from a supply-chain perspective.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "tbro-mcp" yet — see the docs or source repo.
Use tbro-mcp to fetch the plain text body of this page and remove navigation, ads, and footer: https://example.com/article
Returns cleaned plain text of the article, ready for summarization, translation, or further analysis.
Use tbro-mcp to search for "latest developments in the EU AI Act" and return the top 5 results with titles, links, and plain-text summaries.
Returns a structured list of search results for quick comparison and key takeaway extraction.
Use tbro-mcp to fetch the plain-text content of these three product documentation pages, compress each into a 200-word summary, and note any missing information due to lack of JavaScript support. Links: A, B, C.
Returns concise multi-page summaries and flags dynamic content that may be missing.
Search and fetch web pages as plain text with lower token usage.
Access versatile MCP utilities for text processing, web fetching, and search tasks.
Let AI browse via your real Chrome for extraction and multi-step workflows.
Fetch web pages as markdown for LLM reading, analysis, and automation.
Search the web via SearXNG and fetch readable public web pages.
Lets AI control the browser for web actions, extraction, and testing.