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metis: Skill for Claude Code

.claude/skills/05-kailash-mcp/SKILL.md

kailash-mcp is a skill for Claude Code from terrene-foundation/metis. It costs 101 tokens per session (1,359 once invoked), scanned A, a copy of kailash-mcp, Apache-2.0.

A Python implementation of the Model Context Protocol (MCP), a standard way for AI agents to use tools and access data. It can expose workflows as tools and run them through stdio, SSE, or HTTP connections.

In plain words
What is it for?
Use it to create MCP servers, register workflows as agent-callable tools, expose data resources, and connect clients through stdio, SSE, or HTTP.
Why use it?
It removes the need to build the connection between an AI agent and your workflows, tools, or data sources from scratch. It also provides built-in authentication, progress updates, and testing support.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

This is terrene-foundation/metis's own configuration. It tells Claude Code how to work on metis 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 metis configures →

not rated 2repo 4mo ago A scan 101 tokens copy · 91% Apache-2.0
View source ↗ terrene-foundation/metis
Reuse

Borrowing it

Nothing to install: this file belongs to terrene-foundation/metis. 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/terrene-foundation/metis/main/.claude/skills/05-kailash-mcp/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/terrene-foundation/metis

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 kailash-mcp

README.md
[![agentmods](https://agentmods.dev/badge/skills/terrene-foundation/metis/05-kailash-mcp/github.svg)](https://agentmods.dev/skills/terrene-foundation/metis/05-kailash-mcp)
Your own site
<a href="https://agentmods.dev/skills/terrene-foundation/metis/05-kailash-mcp"><img src="https://agentmods.dev/badge/skills/terrene-foundation/metis/05-kailash-mcp/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 kailash-mcp

Your own site · 80×15
<a href="https://agentmods.dev/skills/terrene-foundation/metis/05-kailash-mcp"><img src="https://agentmods.dev/badge/skills/terrene-foundation/metis/05-kailash-mcp.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 101 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,359 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 91% copy Near-identical to another mod 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 $0.00101 $0.01359
Opus 5 $0.00051 $0.00679
Sonnet 5 $0.00020 $0.00272
Haiku 4.5 $0.00010 $0.00136

Measured 11d ago against content hash da619b88c904, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

kailash-mcp 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 11d 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.

Origin

This is a copy

91% identical to kailash-mcp — 2 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.claude/skills/05-kailash-mcp/SKILL.md · 204 lines

How it starts

The opening of the file, as written. The whole thing — 204 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Kailash MCP - Model Context Protocol Integration

Production-ready MCP server implementation built into Kailash Core SDK for seamless AI agent integration.

Overview

Kailash's MCP module provides:

  • Full MCP Specification: Complete implementation of Model Context Protocol
  • Multiple Transports: stdio, SSE, HTTP support
  • Structured Tools: Type-safe tool definitions
  • Resource Management: Expose data sources to AI agents
  • Authentication: Secure MCP server access
  • Progress Reporting: Real-time operation status
  • Testing Support: Comprehensive testing utilities

Quick Start

from kailash_mcp import MCPServer

# Create MCP server
server = MCPServer(name="my-server")

# Register workflow as MCP tool
@server.tool()
def summarize(text: str) -> str:
    """Summarize the given text."""
    workflow = create_summary_workflow()
    results, run_id = runtime.execute(workflow.build())
    return results["summary"]

# Run server (stdio transport by default)
server.run()

Reference Documentation

Getting Started

Security & Operations

Key Concepts

MCP Protocol

The Model Context Protocol enables AI agents to:

  • Tools: Call structured functions
  • Resources: Access data sources
  • Prompts: Use pre-defined templates
  • Sampling: Request LLM completions

Transports

MCP supports multiple transport mechanisms:

  • stdio: Standard input/output (default, simplest)
  • SSE: Server-Sent Events (for web clients)
  • HTTP: RESTful API (for HTTP clients)

Read the full file on GitHub · 204 lines

Files

What ships with it

15 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 11d ago First seen · 204 lines · 101 tokens per session scan A da619b88c904

Subscribe to this mod's changes

kailash-mcp is a skill published in the GitHub repository terrene-foundation/metis (2 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 101 tokens to every session and 1,359 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. It is 91% identical to kailash-mcp, differing in 2 lines, and is treated as a copy.

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