Borrowing it
Nothing to install: this file belongs to andresmorales07/mem0-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/andresmorales07/mem0-mcp/main/CLAUDE.mdgit clone --depth 1 https://github.com/andresmorales07/mem0-mcpWrote 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/instructions/andresmorales07/mem0-mcp/claude-md)<a href="https://agentmods.dev/instructions/andresmorales07/mem0-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/andresmorales07/mem0-mcp/claude-md/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/instructions/andresmorales07/mem0-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/andresmorales07/mem0-mcp/claude-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00905 | $0.00905 |
| Opus 5.5 | $0.00362 | $0.00362 |
| Sonnet 5.5 | $0.00181 | $0.00181 |
| Haiku 4.5 | $0.00090 | $0.00090 |
Grade A, and why
mem0-mcp CLAUDE.md scanned grade A with 1 finding 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 2mo 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
the blast radius of an LLM-driven tool call small — use `curl` directly against the API for How it starts
The opening of the file, as written. The whole thing — 68 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
What this is
A single-tool-module MCP server (src/mem0_mcp/server.py) that wraps a self-hosted mem0
REST API as tools for Claude Desktop / Claude Code. Mem0's official MCP integrations only target
Mem0's cloud API (different auth header, different routes), so this exists to talk to a
self-hosted instance instead (see the sibling ../server-compose-files/ai-containers repo for
that deployment).
Packaged as an installable console script (mem0-mcp, via [project.scripts] in
pyproject.toml) rather than a loose script, so it can be run the way most MCP servers are —
uvx --from git+<repo-url> mem0-mcp without cloning, or uv run --directory <path> mem0-mcp
from a local clone.
Commands
uv sync # install dependencies into .venv
uv run mem0-mcp # run the MCP server directly (stdio transport)
# Manual smoke test against a running mem0 instance:
MEM0_API_URL=http://dockerhost.home:8888 MEM0_API_KEY=m0sk_... uv run python -c "
from mem0_mcp.server import list_memories
print(list_memories(user_id='alice'))
"
There is no test suite, linter, or build step configured — verification is the manual smoke test above, or exercising the tools through Claude Desktop/Code directly.
Required env vars (server raises RuntimeError at import time if missing):
MEM0_API_URL— base URL of the self-hosted mem0 APIMEM0_API_KEY— anm0sk_...key from the mem0 dashboard
Optional env vars: MEM0_DEFAULT_USER_ID, MEM0_DEFAULT_AGENT_ID (see scoping rules below).
Architecture
Everything lives in src/mem0_mcp/server.py: an httpx.Client configured with the mem0 API's
X-API-Key auth, wrapped by FastMCP tool functions that each map 1:1 to a mem0 REST endpoint
(add_memory → POST /memories, search_memories → POST /search, etc.). Bulk-delete
endpoints (delete_all_memories, /reset) are intentionally not exposed as tools, to keep
the blast radius of an LLM-driven tool call small — use curl directly against the API for
those.
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.
- 2mo ago First seen · 68 lines · 905 tokens per session scan A 64b01b32b125
mem0-mcp CLAUDE.md is an instructions file published in the GitHub repository andresmorales07/mem0-mcp (1 stars, last pushed 4mo ago), licensed MIT. It adds 905 tokens to every session, about $0.0036 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
mem0-mcp CLAUDE.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| mem0-mcp CLAUDE.mdandresmorales07/mem0-mcp | Instructions file | 1 | 4mo ago | MIT | A | 905 | Claude Code |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | yesterday | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |