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Capytail

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Capytail is a local MCP capability router that selects relevant skills before loading context, enabling efficient routing without executing or loading all skill

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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

from github.com/juancruzmunozalbelo/capytail

Установка Capytail

У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.

▸ github.com/juancruzmunozalbelo/capytail

FAQ

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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