MCP Skills Manager
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@MCP Skills Managerlist all skills"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
MCP Skills Manager
An MCP server that serves skills — reusable markdown documents (instructions, playbooks, references) — to agents. Write and organize skills in a web UI; agents load them over MCP.
Every skill is exposed two ways at once:
as an MCP tool — calling it returns the skill's markdown body (plus a note listing any bundled supporting files), so an agent can pull a skill on demand;
as an MCP resource at
skill://<name>— for clients that browse and attach resources. Bundled supporting files are resources too (skill://<name>/<path>), the endpoint advertises RFC 6570 resource templates with argument completion (skill names and file paths), andresources/listis paginated. Clients that subscribe get live updates (resources/list_changed+resources/updated) when skills change on disk — always over stdio, and over HTTP whenhttpLiveUpdatesis enabled.
Every endpoint also serves two meta-tools for discovery: list_skills
returns a JSON catalogue of the available skills — name, description, format,
tags, supporting files, and the tool name to call to load each — with no bodies,
and search_skills filters that catalogue by a free-text query and/or tags, so
an agent can find what's relevant by intent before loading anything.
Skills are advertised as tools in one of two modes (a global default, optionally
overridden per workspace): per-skill (the default — one no-arg tool per skill)
or loader (a single load_skill(name) tool that keeps the tool footprint
fixed no matter how many skills exist).
Agents can also author skills over MCP: every endpoint exposes authoring
tools (create_skill, update_skill, rename_skill, delete_skill, plus
supporting-file tools) so an agent can write and refine its own skills. These
are gated on a setting (on by default).
The root endpoint /mcp serves all skills. Workspaces are named subsets
served at their own endpoint /mcp/w/<slug>, so you can hand a specific agent
just the skills it needs. Everything is also available over stdio for local
clients.
Features
📝 Markdown editor in the web UI with live split-pane preview
🗂️ Skill CRUD — create, rename, edit, delete, import (
.md/dir/.zip), and export skills; drag-and-drop supporting files for directory-format skills🧩 Workspaces — group skills into filtered endpoints
🔍 Discovery meta-tools —
list_skillsandsearch_skillson every endpoint, plustagson skills for organising and filtering🤖 MCP authoring — agents can create and refine their own skills over MCP
🔧 Tool modes — advertise skills as one tool each (
per-skill) or a singleload_skillloader, globally or per workspace📁 Two skill formats — a flat
<name>.mdfile, or a<name>/SKILL.mddirectory (Claude Code convention) with supporting files🔌 HTTP and stdio transports
📡 Live resource updates — subscribers are notified when skills change on disk (always over stdio; over HTTP with
httpLiveUpdates)🗃️ Flat-file config — hand-editable on disk, watched and hot-reloaded
🔐 Bearer-token auth guarding the API and MCP endpoints
Related MCP server: SkillForge MCP
Quick start
npm install
npm run dev # server on :3001, web UI on :3000 (proxies to the server)Open http://localhost:3000. On first run a bearer token is generated into
data/config/settings.json and printed to the server logs; paste it into the
web UI when prompted.
Production
npm run build # shared → server → app
npm run start # HTTP server on :3000, also serving the built web UIOr with Docker:
docker compose up --build # mounts ./data at /data, serves on :3000Connecting an agent
HTTP
Point an MCP client at the streamable-HTTP endpoint:
All skills:
http://localhost:3000/mcpA workspace:
http://localhost:3000/mcp/w/<slug>
Send the bearer token as Authorization: Bearer <token>.
stdio
Run the packaged stdio entry (installed as the mcp-skills-stdio bin):
# all skills
mcp-skills-stdio --data-dir /path/to/data
# only a workspace's skills
mcp-skills-stdio --data-dir /path/to/data --workspace <slug>Example Claude Desktop / MCP client config:
{
"mcpServers": {
"skills": {
"command": "mcp-skills-stdio",
"args": ["--data-dir", "/path/to/data", "--workspace", "backend"]
}
}
}Skills on disk
Skills live under DATA_DIR/skills/ in either of two shapes:
Flat file — DATA_DIR/skills/commit-messages.md:
---
name: commit-messages
description: Write clear, conventional git commit messages.
---
# Writing good commit messages
...the skill body...Directory (Claude Code convention) — DATA_DIR/skills/pdf-forms/SKILL.md
plus any supporting files (reference.md, scripts, templates). Supporting files
are listed on the skill and referenced in the rendered tool output so the agent
knows they exist.
The frontmatter name must be a slug: lowercase letters, digits, ., _, -
(max 64 chars). description is surfaced as the MCP tool/resource description.
An optional tags key (a comma-separated string or a YAML list) organises
skills and feeds the search_skills filter. Unknown frontmatter keys are
preserved across round-trips.
Workspaces
A workspace is a JSON file at DATA_DIR/config/workspaces/<slug>.json:
{
"name": "Backend",
"slug": "backend",
"enabled": true,
"description": "Skills for backend work.",
"skills": ["commit-messages", "pdf-forms"]
}It is served at /mcp/w/backend (HTTP) and via --workspace backend (stdio).
Disabled workspaces return 404. An optional skillToolMode (per-skill or
loader) overrides the global default for this workspace only. Manage workspaces
from the Workspaces page in the web UI, or edit the files directly — changes
are picked up automatically.
Configuration
Everything lives under DATA_DIR (default ./data):
data/
├── config/
│ ├── settings.json # port, auth token, auth/authoring toggles, tool mode, httpLiveUpdates
│ └── workspaces/
│ └── <slug>.json # one file per workspace
└── skills/
├── <name>.md # flat-file skill
└── <name>/ # directory-format skill
├── SKILL.md
└── <supporting files>Edits on disk are watched (debounced) and hot-reloaded; you can also force a
re-read with the Reload button on the Settings page or POST /api/reload.
Environment variables
Variable | Default | Description |
|
| Root directory for skills and config |
|
| HTTP listen port |
| — | Bearer token; overrides the one in |
|
| Set |
If no token is configured and SECURE_LOCAL_NET is not set, a random token is
generated into settings.json on first run and logged.
HTTP API
All routes require the bearer token (unless SECURE_LOCAL_NET=true).
Method | Path | Description |
|
| Version, uptime, skill/workspace counts, auth mode, port |
|
| Read settings (auth/authoring toggles, tool mode, live updates) |
|
| Update |
|
| List skills (summaries) |
|
| Create a skill |
|
| Import an uploaded |
|
| Get a skill (with body) |
|
| Update body/description/tags/global, or rename |
|
| Delete a skill |
|
| Download the skill as a |
|
| Read one supporting file |
|
| Add/overwrite a supporting file (promotes to a dir) |
|
| Create an empty sub-folder |
|
| Rename / move a file or folder |
|
| Delete a file or folder |
|
| List workspaces |
|
| Create a workspace |
|
| Get a workspace |
|
| Update a workspace |
|
| Delete a workspace |
|
| Re-read all config from disk |
|
| MCP endpoint — all skills |
|
| MCP endpoint — a workspace's skills |
Architecture
Monorepo with npm workspaces:
shared/— zod schemas and inferred types; the single source of truth for config-file shapes and REST DTOs.server/— Express 5 + the MCP TypeScript SDK. AConfigStoreowns the flat-file state (atomic writes, chokidar watching); the gateway builds an MCPServerexposing skills as tools and resources over HTTP (StreamableHTTPServerTransport— stateless by default, or stateful sessions with SSE push whenhttpLiveUpdatesis on) or stdio.app/— React 19 + Vite + shadcn/ui + TanStack Router/Query. The markdown editor usesreact-markdown+remark-gfm.
See AGENTS.md for development conventions.
License
MIT
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