tools-creator

tools-creator is an agent for Claude Code from AlexFischman/mcp-skill-creator-agency. It costs 18 tokens per session (2,622 once invoked), scanned A, a copy of tools-creator, MIT.

A tool-building agent for Agency Swarm that implements and tests the tools an agency's agents need. Agency Swarm is a framework for building groups of cooperating AI agents, and MCP is a standard for connecting them to outside tools.

In plain words
What is it for?
Use it to inspect API documentation, identify suitable MCP servers, update agent files with those connections, and test each tool individually.
Why use it?
It reduces the work of translating requirements and API documentation into tested tools, while keeping tool integration inside the relevant agent files.

Agent for Claude Code

Written for Claude Code: installed under .claude/. Also seen: model in frontmatter.

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is python agency_name/agent_name/tools/ToolName.py.

Good fit Use it to inspect API documentation, identify suitable MCP servers, update agent files with those connections, and test each tool individually.

Compare 6 agents from other repositories ↓
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/AlexFischman/mcp-skill-creator-agency
agentmods
npx agentmods add agents/alexfischman/mcp-skill-creator-agency/tools-creator

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 tools-creator

README.md
[![agentmods](https://agentmods.dev/badge/agents/alexfischman/mcp-skill-creator-agency/tools-creator/github.svg)](https://agentmods.dev/agents/alexfischman/mcp-skill-creator-agency/tools-creator)
Your own site
<a href="https://agentmods.dev/agents/alexfischman/mcp-skill-creator-agency/tools-creator"><img src="https://agentmods.dev/badge/agents/alexfischman/mcp-skill-creator-agency/tools-creator/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 tools-creator

Your own site · 80×15
<a href="https://agentmods.dev/agents/alexfischman/mcp-skill-creator-agency/tools-creator"><img src="https://agentmods.dev/badge/agents/alexfischman/mcp-skill-creator-agency/tools-creator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 18 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,622 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 97% 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 $0.00018 $0.02622
Opus 5 $0.00009 $0.01311
Sonnet 5 $0.00004 $0.00524
Haiku 4.5 $0.00002 $0.00262

Measured 10d ago against content hash 122e22d51729, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

tools-creator 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 10d 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

97% identical to tools-creator — 77 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/agents/tools-creator.md · 397 lines

How it starts

The opening of the file, as written. The whole thing — 397 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Implement production-ready Agency Swarm v1.0.0 tools, strongly preferring MCP servers, and test each tool individually.

Background

Agency Swarm v1.0.0 strongly prefers MCP (Model Context Protocol) servers. MCP servers are integrated directly into agent files, not as separate tools. Runs AFTER agent-creator and instructions-writer complete.

Input

  • PRD path with tool requirements
  • API docs path: agency_name/api_docs.md (contains MCP servers and APIs)
  • API keys already collected from user
  • Agent files already created by agent-creator
  • Instructions already created by instructions-writer

MCP Server Integration (CRITICAL - Based on Official Docs)

Step 1: Identify MCP Servers from api_docs.md

Read the API docs to find which MCP servers are available for the required tools.

Step 2: Update Agent Files with MCP Servers

For each agent that needs MCP tools, MODIFY the agent's .py file:

from agency_swarm import Agent
from agency_swarm.tools.mcp import MCPServerStdio

# Define MCP server
filesystem_server = MCPServerStdio(
    name="Filesystem_Server",  # Tools accessed as Filesystem_Server.read_file
    params={
        "command": "npx",
        "args": ["-y", "@modelcontextprotocol/server-filesystem", "."],
    },
    cache_tools_list=True
)

# Add to existing Agent instantiation
agent_name = Agent(
    name="AgentName",
    description="...",
    instructions="./instructions.md",
    tools_folder="./tools",
    mcp_servers=[filesystem_server],  # ADD THIS LINE
    model_settings=ModelSettings(
        model="gpt-4o",
        temperature=0.5,
        max_completion_tokens=25000,
    ),
)

Common MCP Servers

# GitHub Server
github_server = MCPServerStdio(
    name="GitHub_Server",
    params={
        "command": "npx",
        "args": ["-y", "@modelcontextprotocol/server-github"],
        "env": {"GITHUB_TOKEN": os.getenv("GITHUB_TOKEN")},
    },
    cache_tools_list=True
)

# Slack Server (if available)
slack_server = MCPServerStdio(
    name="Slack_Server",
    params={
        "command": "npx",
        "args": ["-y", "@modelcontextprotocol/server-slack"],
        "env": {"SLACK_TOKEN": os.getenv("SLACK_TOKEN")},
    },
    cache_tools_list=True
)

Read the full file on GitHub · 397 lines

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. 10d ago First seen · 397 lines · 18 tokens per session scan A 122e22d51729

Subscribe to this mod's changes

tools-creator is an agent published in the GitHub repository AlexFischman/mcp-skill-creator-agency (2 stars, last pushed 9mo ago), licensed MIT. It adds 18 tokens to every session and 2,622 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 97% identical to tools-creator, differing in 77 lines, and is treated as a copy.