Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add mcp/evalvis/webreadmcp/webread-mcpgit clone --depth 1 https://github.com/EvalVis/webreadmcpGrade A, and why
webread-mcp scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
{ "webread-mcp": { "command": "uvx", "args": [ "webread-mcp" ] } }
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- yesterday First seen · 8 lines scan A 7b1e8d78c7f1
webread-mcp is an MCP server published in the GitHub repository EvalVis/webreadmcp (0 stars, last pushed 6mo ago), licensed MIT. Its token cost is not measured: an MCP server costs its tool schemas, not its config file. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other mcp servers, from other repositories
gpt-researcher
GPT Researcher is an autonomous agent designed for comprehensive online research on a variety of tasks. Runs locally from the gpt-researcher Python package.
vexor
A semantic search engine for files and code. Runs locally from the vexor Python package. Needs 3 environment variables to run.
agent-web-search-mcp
A multi-provider web search layer for AI agents. Runs locally from the agent-web-search-mcp Python package.
social-dive
MCP server "social-dive" as configured in krishddd/socialdive. Runs locally from the social-dive Python package.
engram-server
MCP server "engram-server" as configured in jamjet-labs/jamjet. Runs in Docker (ghcr.io/jamjet-labs/engram-server:0.5.0).
plain-example
MCP server "plain-example", hosted remotely at plain-example.plaintunnel.com, as configured in dropseed/plain.