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/timothywarner-org/claude-code/oreilly-july20-memorymcpgit clone --depth 1 https://github.com/timothywarner-org/claude-codeWrote 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/timothywarner-org/claude-code/oreilly-july20-memorymcp)<a href="https://agentmods.dev/mcp/timothywarner-org/claude-code/oreilly-july20-memorymcp"><img src="https://agentmods.dev/badge/mcp/timothywarner-org/claude-code/oreilly-july20-memorymcp.svg" alt="Measured on agentmods" height="20"></a>Grade A, and why
oreilly-july20-memorymcp 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 6d 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
{
"oreilly-july20-memorymcp": {
"type": "stdio",
"command": "uv",
"args": [
"run",
"--project",
"${CLAUDE_PROJECT_DIR:-.}/segment_4_hero/memory_server",
"${CLAUDE_PROJECT_DIR:-.}/segment_4_hero/memory_server/server.py"
]
}
}What else .mcp.json configures
This page is one entry in a file that holds 4. Installing the file brings all of them; each is measured and scanned on its own page.
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.
- 6d ago First seen · 12 lines scan A 692d76e35c1c
oreilly-july20-memorymcp is an MCP server published in the GitHub repository timothywarner-org/claude-code (223 stars, last pushed 1mo 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 2026-08-30.
Other mcp servers, from other repositories
hypermnesia-mcp
Scientifically-grounded memory system based on computational neuroscience research. Runs locally from the hypermnesia-mcp Python package.
rag-rat
CLI and MCP entrypoint for indexing repositories into local source, graph, history, and memory evidence. Runs locally from the @rag-rat/bin npm package.
neverinfamous-memory-journal-mcp
A MCP server built for developers enabling Git based project management with project and personal… Remote server at server.smithery.ai.
cgr-capture
MCP server that captures agent judgments and outcomes as CGR substrate on GRAFOMEM Cloud. Runs locally from the grafomem-cgr Python package. Needs 6 environment variables to run.
server-memory
The agentage Memory MCP server: exposes your local vaults as the frozen 6 memory tools over stdio. The open, cross-vendor counterpart to @modelcontextprotocol/server-memory. Runs locally from the @agentage/server-memory npm package.
forkmind
Branchable LLM history DAG + encrypted context capsules agents can save, restore, and crypto-shred. Runs locally from the forkmind npm package.