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obsidian-semantic-mcp: Instructions file for Gemini CLI

GEMINI.md

obsidian-semantic-mcp GEMINI.md is an instructions file for Gemini CLI from artificemachine/obsidian-semantic-mcp. It costs 401 tokens per session, scanned A, original, Apache-2.0.

Repository instructions for an MCP server that performs semantic search across Obsidian vaults. Obsidian is a note-taking application, and semantic search finds notes by meaning rather than only matching exact words.

In plain words
What is it for?
Use them to set up, monitor, test, and develop the Obsidian search server with the osm command, Docker Compose, and its database and embedding services.
Why use it?
They document the required Python, PostgreSQL with vector support, and Ollama services, along with project commands and rules for safely managing the database and file watcher.

Instructions file for Gemini CLI

Written for Gemini CLI: the file is GEMINI.md. Also seen: mentions Gemini CLI.

This is artificemachine/obsidian-semantic-mcp's own configuration. It tells Gemini CLI how to work on obsidian-semantic-mcp itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything obsidian-semantic-mcp configures →

not rated 1repo 8d ago A scan 401 tokens original Apache-2.0
View source ↗ artificemachine/obsidian-semantic-mcp
Reuse

Borrowing it

Nothing to install: this file belongs to artificemachine/obsidian-semantic-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.

Copy the file
curl -O https://raw.githubusercontent.com/artificemachine/obsidian-semantic-mcp/main/GEMINI.md
Clone the repo
git clone --depth 1 https://github.com/artificemachine/obsidian-semantic-mcp

Made for: Gemini CLI.

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README.md
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Per session 401 This file is loaded in full into every session.
When invoked 401 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00401 $0.00401
Opus 5 $0.00200 $0.00200
Sonnet 5 $0.00080 $0.00080
Haiku 4.5 $0.00040 $0.00040

Measured 9d ago against content hash 34282d29d6a7, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

obsidian-semantic-mcp 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 9d 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 · 31 lines

What it actually says

Obsidian Semantic MCP — Gemini CLI Context

Project

Obsidian Semantic MCP is a Python-based Model Context Protocol (MCP) server that provides semantic search capabilities for Obsidian vaults. It uses pgvector (PostgreSQL) for vector storage and Ollama for generating embeddings.

Stack & Tools

  • Language: Python 3.10+
  • MCP Framework: mcp
  • Database: PostgreSQL with pgvector
  • Embeddings: Ollama (nomic-embed-text by default)
  • Environment: uv for dependency management, Docker Compose for services
  • CLI Commands:
    • osm init: Setup wizard (pgvector, Ollama, vault path)
    • osm dashboard: Launch monitoring dashboard
    • osm status: Check service health
    • osm tunnel: Reconnect SSH tunnel (for remote Ollama)
    • uv run pytest: Run unit and smoke tests
  • Docker: docker compose up -d to start the full stack

Operational Rules

  • osm CLI: The osm command is the primary management tool. Use --yes for non-interactive teardown.
  • DB Connection: Always use the db_conn() context manager for database access; never connect directly via psycopg2.
  • Watchdog: The _handle_upsert function must be resilient to prevent the file-watching thread from dying.
  • Indexing Gate: Search tools are gated by the _INDEXING_IN_PROGRESS flag to ensure valid results during first-boot.
  • Vault Root: Path traversal is prevented by _resolve_vault_path(); all operations are scoped to the vault root.

Workspace Conventions

  • CHANGELOG.md is append-only and required per commit.
  • Never edit .env, credentials, or secrets.
  • Use shux contract for task management.
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. 9d ago First seen · 31 lines · 401 tokens per session scan A 34282d29d6a7

Subscribe to this mod's changes

obsidian-semantic-mcp GEMINI.md is an instructions file published in the GitHub repository artificemachine/obsidian-semantic-mcp (1 stars, last pushed 8d ago), licensed Apache-2.0. It adds 401 tokens to every session, about $0.0020 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 2026-08-31.

Claude CodeLLMMemory and contextclaudeembeddingsknowledge-managementmcp
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