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minirag-pgvector-mcp: Command for Claude Code

.claude/commands/minirag.md

minirag is a command for Claude Code from mck-s/minirag-pgvector-mcp. It costs 12 tokens per session (399 once invoked), scanned A, original, MIT.

A command for searching the minirag vector database and answering with citations. Minirag stores text so related content can be found by meaning rather than exact words.

In plain words
What is it for?
It is for natural-language searches, optional document-type filters, and answers that cite the retrieved sources.
Why use it?
It gives agents grounded answers tied to source documents instead of unsupported guesses.

Command for Claude Code

Written for Claude Code: installed under .claude/.

This is mck-s/minirag-pgvector-mcp's own configuration. It tells Claude Code how to work on minirag-pgvector-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 minirag-pgvector-mcp configures →

not rated 0repo 3mo ago A scan 12 tokens original MIT
View source ↗ mck-s/minirag-pgvector-mcp
Reuse

Borrowing it

Nothing to install: this file belongs to mck-s/minirag-pgvector-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/mck-s/minirag-pgvector-mcp/main/.claude/commands/minirag.md
Clone the repo
git clone --depth 1 https://github.com/mck-s/minirag-pgvector-mcp

Made for: Claude Code.

Wrote 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.

agentmods badge for minirag

README.md
[![agentmods](https://agentmods.dev/badge/commands/mck-s/minirag-pgvector-mcp/minirag/github.svg)](https://agentmods.dev/commands/mck-s/minirag-pgvector-mcp/minirag)
Your own site
<a href="https://agentmods.dev/commands/mck-s/minirag-pgvector-mcp/minirag"><img src="https://agentmods.dev/badge/commands/mck-s/minirag-pgvector-mcp/minirag/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.

agentmods 80×15 button for minirag

Your own site · 80×15
<a href="https://agentmods.dev/commands/mck-s/minirag-pgvector-mcp/minirag"><img src="https://agentmods.dev/badge/commands/mck-s/minirag-pgvector-mcp/minirag.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 12 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 399 The whole file, excluding the scripts and references it only reads on demand.
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 $0.00012 $0.00399
Opus 5.5 $0.00005 $0.00160
Sonnet 5.5 $0.00002 $0.00080
Haiku 4.5 $0.00001 $0.00040

Measured 2mo ago against content hash 243649413b4d, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

minirag 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.

.claude/commands/minirag.md · 36 lines

What it actually says

You are about to answer a question using the minirag MCP server's search_context tool.

Instructions:

  1. Extract the query from the user's message. The user may provide:

    • Just a search query: /minirag how do I configure the embedder?
    • A query with a doctype filter: /minirag [spec] architecture decisions
    • The query may be in natural language

  2. Parse optional doctype filter. If the user includes [doctype] syntax, extract it:

    • Valid doctypes: meeting-notes, spec, codebase, default
    • Example: /minirag [meeting-notes] who attended the sync? → query="who attended the sync?", doctype="meeting-notes"

  3. Call the MCP tool search_context:

    • Pass the extracted query
    • If a doctype was specified, pass it as the doctype parameter
    • Use default k=5 unless the user specifies otherwise

  4. Answer based on the retrieved chunks:

    • Ground your answer in the returned content. Do not speculate beyond what the chunks say.
    • Cite every fact using the format: [source: heading_path]
    • If multiple chunks support a point, cite all relevant sources
    • If the chunks don't contain enough information to answer, say so explicitly

  5. Format your response:

    • Start with a direct answer to the question
    • Use citations inline: The embedder dimension is 384 [architecture.md: Configuration > Embedder]
    • If helpful, add a "Sources" section at the end listing all referenced documents

Example interaction:

User: /minirag [spec] What's the database schema for chunks?

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. 2mo ago First seen · 36 lines · 12 tokens per session scan A 243649413b4d

Subscribe to this mod's changes

minirag is a command published in the GitHub repository mck-s/minirag-pgvector-mcp (0 stars, last pushed 3mo ago), licensed MIT. It adds 12 tokens to every session and 399 once invoked, about $0.0000 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.

Data and AIRAG and vectorsResearch
Related

minirag compared with commands from other repositories

minirag next to 6 commands from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
miniragmck-s/minirag-pgvector-mcpCommand03mo agoMITA12Claude Code
queryingupstash/redis-jsCommand983yesterdayMITA0Claude Code
ingestGalbaz1/video-research-mcpCommand236d agoMITA10Claude Code
agentget-convex/convex-agent-pluginsCommand11724d agoMITA21Claude Code, Cursor
proofragunshDee/proofragCommand26d agoMITA22Claude Code
inference.embedstratalab/strata-coreCommand51mo agoApache-2.0A0Claude Code
vector.batch_existsstratalab/strata-coreCommand51mo agoApache-2.0A0Claude Code