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.
git clone --depth 1 https://github.com/thejavapirate/model-context-streamWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/mcp/thejavapirate/model-context-stream/context-stream)<a href="https://agentmods.dev/mcp/thejavapirate/model-context-stream/context-stream"><img src="https://agentmods.dev/badge/mcp/thejavapirate/model-context-stream/context-stream/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/mcp/thejavapirate/model-context-stream/context-stream"><img src="https://agentmods.dev/badge/mcp/thejavapirate/model-context-stream/context-stream.svg" alt="Reviewed on agentmods" width="80" height="20"></a>Grade A, and why
context-stream 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 1mo ago.
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
{
"context-stream": {
"type": "http",
"url": "http://localhost:3000/mcp",
"headers": {
"Authorization": "Bearer ${MCS_TOKEN:-tok_agent}",
"X-Agent-Name": "${MCS_AGENT_NAME:-agent-anon}"
}
}
}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.
- 1mo ago First seen · 10 lines scan A 64b4ca7eabab
context-stream is an MCP server published in the GitHub repository thejavapirate/model-context-stream (1 stars, last pushed 2mo 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
claude-flow
Ruflo CLI - Enterprise AI agent orchestration with 60+ specialized agents, swarm coordination, MCP server, self-learning hooks, and vector memory for Claude Code. Runs locally from the @claude-flow/cli npm package. Needs 6 environment variables to run.
strands-docs
A Model Context Protocol server that provides knowledge about building AI agents with Strands Agents. Runs locally from the strands-agents-mcp-server Python package.
vault-cortex
MCP server "vault-cortex" as configured in aliasunder/vault-cortex. Runs in Docker (ghcr.io/aliasunder/vault-cortex:0.54.3). Needs 24 environment variables to run.
secondbrain
Package for secondbrain only! Runs locally from the secondbrain Python package.
mdan-method
MDAN — AI-driven development methodology: agents, step-by-step wizards, multi-agent debate and a context graph, as IDE commands and an MCP server. Runs locally from the mdan-method npm package.
swarm-rd-orchestrator
Ray-native context/memory sharing for parallel research agents, with an agent-native CLI and MCP server (Milestone 1 spike). Runs locally from the swarm-rd-orchestrator-cli Python package.