mcp-server GEMINI.md

Project instructions for ContextStream, a hosted service that gives AI coding agents persistent project memory through an MCP connection. The excerpt also lists its homepage, privacy page, and contact address.

In plain words
What is it for?
Orienting an agent to the ContextStream project and its hosted memory service.
Why use it?
They tell an agent what the project is and where to find its service and privacy information. The excerpt does not describe further coding behavior or features.

Instructions file for Gemini CLI

Install

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.

agentmods
npx agentmods add instructions/contextstream/mcp-server/gemini-md
Clone the repo
git clone --depth 1 https://github.com/contextstream/mcp-server

Made for: Gemini CLI.

Per session 46 This file is loaded in full into every session.
When invoked 46 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00046 $0.00046
Opus 5 $0.00023 $0.00023
Sonnet 5 $0.00009 $0.00009
Haiku 4.5 $0.00005 $0.00005

Measured 2d ago against content hash e955f7ffa99a, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

mcp-server GEMINI.md 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 2d 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.

GEMINI.md · 8 lines

What it actually says

ContextStream

Persistent project memory for AI coding agents. Connect via hosted MCP.

Changes

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.

  1. 2d ago First seen · 8 lines · 46 tokens per session scan A e955f7ffa99a

Subscribe to this mod's changes

mcp-server GEMINI.md is an instructions file published in the GitHub repository contextstream/mcp-server (40 stars, last pushed 14d ago), licensed MIT. It adds 46 tokens to every session, about $0.0002 per session on Opus 5. 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 2026-08-30.