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 skills add nativ3ai/hermes-agent-camel --skill fastmcpgit clone --depth 1 https://github.com/nativ3ai/hermes-agent-camelWrote 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/skills/nativ3ai/hermes-agent-camel/fastmcp)<a href="https://agentmods.dev/skills/nativ3ai/hermes-agent-camel/fastmcp"><img src="https://agentmods.dev/badge/skills/nativ3ai/hermes-agent-camel/fastmcp/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.
<a href="https://agentmods.dev/skills/nativ3ai/hermes-agent-camel/fastmcp"><img src="https://agentmods.dev/badge/skills/nativ3ai/hermes-agent-camel/fastmcp.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00062 | $0.01935 |
| Opus 5 | $0.00031 | $0.00967 |
| Sonnet 5 | $0.00012 | $0.00387 |
| Haiku 4.5 | $0.00006 | $0.00194 |
Grade A, and why
fastmcp 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.
This is a copy
94% identical to fastmcp — 7 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.
How it starts
The opening of the file, as written. The whole thing — 300 lines — stays where its author put it; the contents beside it link to each section on GitHub.
FastMCP
Build MCP servers in Python with FastMCP, validate them locally, install them into MCP clients, and deploy them as HTTP endpoints.
When to Use
Use this skill when the task is to:
- create a new MCP server in Python
- wrap an API, database, CLI, or file-processing workflow as MCP tools
- expose resources or prompts in addition to tools
- smoke-test a server with the FastMCP CLI before wiring it into Hermes or another client
- install a server into Claude Code, Claude Desktop, Cursor, or a similar MCP client
- prepare a FastMCP server repo for HTTP deployment
Use native-mcp when the server already exists and only needs to be connected to Hermes. Use mcporter when the goal is ad-hoc CLI access to an existing MCP server instead of building one.
Prerequisites
Install FastMCP in the working environment first:
pip install fastmcp
fastmcp version
For the API template, install httpx if it is not already present:
pip install httpx
Included Files
Templates
templates/api_wrapper.py- REST API wrapper with auth header supporttemplates/database_server.py- read-only SQLite query servertemplates/file_processor.py- text-file inspection and search server
Scripts
scripts/scaffold_fastmcp.py- copy a starter template and replace the server name placeholder
References
references/fastmcp-cli.md- FastMCP CLI workflow, installation targets, and deployment checks
Workflow
1. Pick the Smallest Viable Server Shape
Choose the narrowest useful surface area first:
- API wrapper: start with 1-3 high-value endpoints, not the whole API
- database server: expose read-only introspection and a constrained query path
- file processor: expose deterministic operations with explicit path arguments
- prompts/resources: add only when the client needs reusable prompt templates or discoverable documents
Prefer a thin server with good names, docstrings, and schemas over a large server with vague tools.
What ships with it
5 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.
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.
- 11d ago First seen · 300 lines · 62 tokens per session scan A a82c2fe6639a
fastmcp is a skill published in the GitHub repository nativ3ai/hermes-agent-camel (196 stars, last pushed 4mo ago), licensed MIT. It adds 62 tokens to every session and 1,935 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 94% identical to fastmcp, differing in 7 lines, and is treated as a copy.
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