Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add agents/jrmatherly/mcp-context-forge/crewaigit clone --depth 1 https://github.com/jrmatherly/mcp-context-forgeWrote 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/agents/jrmatherly/mcp-context-forge/crewai)<a href="https://agentmods.dev/agents/jrmatherly/mcp-context-forge/crewai"><img src="https://agentmods.dev/badge/agents/jrmatherly/mcp-context-forge/crewai.svg" alt="Measured on agentmods" 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 | $0.00000 | $0.00164 |
| Opus 5 | $0.00000 | $0.00082 |
| Sonnet 5 | $0.00000 | $0.00033 |
| Haiku 4.5 | $0.00000 | $0.00016 |
Grade A, and why
crewai 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 yesterday.
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.
This is a copy
91% identical to crewai — 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.
What it actually says
CrewAI Integration with MCP Gateway
CrewAI is a multi-agent orchestration framework that enables AI agents to collaborate on complex tasks. Integrating CrewAI with the Model Context Protocol (MCP) allows agents to dynamically discover and utilize tools hosted on MCP servers, enhancing their capabilities and flexibility.
🧰 Key Features
- Dynamic Tool Discovery: Agents can fetch available tools from MCP servers in real-time.
- Standardized Communication: Utilizes the open MCP standard for consistent tool integration.
- Multi-Server Support: Interact with tools defined on multiple MCP servers simultaneously.
🛠 Installation
To use MCP tools in CrewAI, install the crewai-tools package with MCP support:
pip install "crewai-tools[mcp]"
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.
- yesterday First seen · 22 lines · 0 tokens per session scan A ddf8ce0ec34a
crewai is an agent published in the GitHub repository jrmatherly/mcp-context-forge (0 stars, last pushed 6mo ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 164 tokens. A static security scan graded it A with 0 findings. It is 91% identical to crewai, differing in 2 lines, and is treated as a copy.
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