Capytail
БесплатноНе проверенCapytail is a local MCP capability router that selects relevant skills before loading context, enabling efficient routing without executing or loading all skill
Описание
Capytail is a local MCP capability router that selects relevant skills before loading context, enabling efficient routing without executing or loading all skills upfront.
README
A local MCP capability router that selects relevant skills before loading context.
Capytail is a selector, not an execution gateway. It helps agents avoid loading every skill, agent, or MCP recommendation into context up front.
Status
Experimental 0.1.x.
Use it when you want:
- compact capability routing;
- read-only MCP runtime tools;
- local CLI ingestion for trusted skills;
- deterministic selection before optional full skill loading.
Do not use it as:
- an MCP proxy;
- an agent orchestrator;
- persistent memory;
- a RAG/vector database;
- a remote skill installer.
Install
npm install -g capytail
From source:
npm install
npm run build
node dist/src/cli.js --help
MCP runtime
Start the read-only MCP server:
capytail mcp
Public MCP tools:
| Tool | Purpose |
|---|---|
capytail_route |
Select relevant capabilities for a request. |
capytail_list |
List compact discovered capabilities. |
capytail_get_capability |
Fetch full content for one selected local skill/agent id. |
Normal agent flow:
capytail_route({ request })
→ capytail_get_capability({ id })
route and list return compact metadata only. They do not return full skill bodies.
CLI admin
Add a local skill after a static SkillSpector scan:
capytail add-skill ./my-skill
capytail add-skill ./my-skill --project-root . --name my-skill
capytail add-skill ./my-skill --allow-medium
The CLI uses a fixed scanner path:
$HOME/.pi/agent/tools/skillspector/.venv/bin/skillspector
--skillspector-path is intentionally rejected.
When a skill is accepted, Capytail copies it into:
.capytail/skills/<name>/
Then it enriches the copied SKILL.md with missing routing metadata:
aliases: <name>
triggers: ...
use_when: ...
It also associates the skill with the current project using the existing capability graph:
{
"graph": {
"projectId": "project:my-project",
"edges": [
{
"from": "project:my-project",
"relation": "project_has_skill",
"to": "skill:project:my-skill"
}
]
}
}
The original source skill is not modified.
Configuration
Capytail reads capytail.config.json or .capytail/config.json from the project root.
See examples/capytail.config.json.
Benchmarks
In a local corpus of 43 SKILL.md files:
| Flow | Approx tokens | Time |
|---|---|---|
| Load all skills | ~121k | n/a |
route only |
~1.0k–1.3k | ~10–15ms |
route + get |
~7.4k–40.8k | ~63–80ms |
See docs/benchmarks.md.
Security model
See SECURITY.md and docs/security-model.md.
Short version:
- MCP surface is read-only.
- Skill ingestion is CLI-only.
- Local paths only.
- Static SkillSpector scan only,
--no-llm. - No remote URL ingestion.
- No dependency installation.
- No skill execution.
Development
npm test
npm run typecheck
npm run build
License
MIT
Установить Capytail в Claude Desktop, Claude Code, Cursor
unyly install capytailСтавит в Claude Desktop, Claude Code, Cursor и VS Code — сам разбирается с npx, uvx и сборкой из исходников.
Впервые? Поставь CLI: curl -fsSL https://unyly.org/install | sh
Или настроить вручную
Выполни в терминале:
claude mcp add capytail -- npx -y github:juancruzmunozalbelo/capytailFAQ
Capytail MCP бесплатный?
Да, Capytail MCP бесплатный — установка в пару кликов через Unyly без оплаты.
Нужен ли API-ключ для Capytail?
Нет, Capytail работает без API-ключей и переменных окружения.
Capytail — hosted или self-hosted?
Self-hosted: сервер запускается локально на твоей машине командой из раздела установки.
Как установить Capytail в Claude Desktop, Claude Code или Cursor?
Открой Capytail на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.
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