Borrowing it
Nothing to install: this file belongs to JMRussas/ollama-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/JMRussas/ollama-mcp/main/CLAUDE.mdgit clone --depth 1 https://github.com/JMRussas/ollama-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/jmrussas/ollama-mcp/claude-md)<a href="https://agentmods.dev/instructions/jmrussas/ollama-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/jmrussas/ollama-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/jmrussas/ollama-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/jmrussas/ollama-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 | $0.00656 | $0.00656 |
| Opus 5.5 | $0.00262 | $0.00262 |
| Sonnet 5.5 | $0.00131 | $0.00131 |
| Haiku 4.5 | $0.00066 | $0.00066 |
Grade A, and why
ollama-mcp CLAUDE.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 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.
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.
How it starts
The opening of the file, as written. The whole thing — 78 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ollama-mcp
MCP server that exposes local Ollama instances as tools for Claude Code.
Quick Reference
| What | Command |
|---|---|
| Setup | bash setup.sh (creates venv, installs deps, registers MCP) |
| Run server | python -m ollama_mcp or .venv/Scripts/python src/ollama_mcp/server.py (stdio, launched by Claude Code) |
| Run tests | pytest tests/ -v (from venv) |
| Install deps | pip install . (runtime) / pip install .[dev] (+ tests) |
Project Structure
ollama-mcp/
pyproject.toml Project metadata, dependencies, pytest config
config.json Machine-specific host config (gitignored)
config.example.json Config template
setup.sh Creates venv, generates config, registers MCP
LICENSE MIT license
src/
ollama_mcp/
__init__.py
__main__.py Entry point for `python -m ollama_mcp`
server.py MCP server — 4 tools: generate, chat, embed, list_models
tests/
__init__.py
test_server.py Unit tests (pytest, mocked httpx)
.github/
workflows/ci.yml GitHub Actions — runs pytest on push/PR
.claude/
gotchas.md Gotchas & pitfalls
How It Works
Claude Code → stdio → server.py → httpx → Ollama API (local/remote)
The server reads config.json at startup to discover Ollama hosts (local + remote machines). Each tool call makes an async HTTP request to the appropriate Ollama instance and returns the formatted result.
Tools Exposed
| Tool | Purpose | Default Host |
|---|---|---|
ollama_generate |
Single-turn prompt completion | server |
ollama_chat |
Multi-turn conversation | server |
ollama_embed |
Text embedding (returns vector) | local |
ollama_list_models |
List available models | all |
Configuration
config.json maps host aliases to Ollama URLs:
{
"hosts": {
"local": { "url": "http://localhost:11434", "label": "Local (4090)" },
"server": { "url": "http://REMOTE_IP:11434", "label": "Server (3090)" }
},
"default_model": "qwen2.5-coder:14b",
"embed_model": "nomic-embed-text",
"timeout": 120.0,
"max_attempts": 2,
"retry_delay": 0.5
}
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 · 78 lines · 656 tokens per session scan A b9cdccd203c5
ollama-mcp CLAUDE.md is an instructions file published in the GitHub repository JMRussas/ollama-mcp (0 stars, last pushed 8mo ago), licensed MIT. It adds 656 tokens to every session, about $0.0026 per session on Opus 5.5. 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 2026-08-31.
ollama-mcp CLAUDE.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| ollama-mcp CLAUDE.mdJMRussas/ollama-mcp | Instructions file | 0 | 8mo ago | MIT | A | 656 | Claude Code |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
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| 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 |