MCP Skills Manager
A server that serves reusable markdown skills (instructions, playbooks, references) to agents, with a web UI for editing and organizing skills, profiles, and both HTTP and stdio transports.
README
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.
A list_skills tool on every endpoint returns a JSON catalogue of the available
skills — name, description, format, supporting files, and the tool name to call
to load each — with no bodies, so an agent can discover what's on offer and
decide which skills are worth loading.
The root endpoint /mcp serves all skills. Profiles are named subsets
served at their own endpoint /mcp/p/<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, and delete skills
- 🧩 Profiles — group skills into filtered endpoints
- 📁 Two skill formats — a flat
<name>.mdfile, or a<name>/SKILL.mddirectory (Claude Code convention) with supporting files - 🔌 HTTP and stdio transports
- 🗃️ Flat-file config — hand-editable on disk, watched and hot-reloaded
- 🔐 Bearer-token auth guarding the API and MCP endpoints
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 UI
Or with Docker:
docker compose up --build # mounts ./data at /data, serves on :3000
Connecting an agent
HTTP
Point an MCP client at the streamable-HTTP endpoint:
- All skills:
http://localhost:3000/mcp - A profile:
http://localhost:3000/mcp/p/<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 profile's skills
mcp-skills-stdio --data-dir /path/to/data --profile <slug>
Example Claude Desktop / MCP client config:
{
"mcpServers": {
"skills": {
"command": "mcp-skills-stdio",
"args": ["--data-dir", "/path/to/data", "--profile", "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.
Profiles
A profile is a JSON file at DATA_DIR/config/profiles/<slug>.json:
{
"name": "Backend",
"slug": "backend",
"enabled": true,
"description": "Skills for backend work.",
"skills": ["commit-messages", "pdf-forms"]
}
It is served at /mcp/p/backend (HTTP) and via --profile backend (stdio).
Disabled profiles return 404. Manage profiles from the Profiles 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 toggle
│ └── profiles/
│ └── <slug>.json # one file per profile
└── 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 |
|---|---|---|
DATA_DIR |
./data |
Root directory for skills and config |
PORT |
3000 (or settings.json) |
HTTP listen port |
MCP_SKILLS_TOKEN |
— | Bearer token; overrides the one in settings.json |
SECURE_LOCAL_NET |
false |
Set true to disable auth entirely (trusted networks only) |
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 |
|---|---|---|
GET |
/api/status |
Version, uptime, skill/profile counts |
GET |
/api/skills |
List skills (summaries) |
POST |
/api/skills |
Create a skill |
GET |
/api/skills/:name |
Get a skill (with body) |
PATCH |
/api/skills/:name |
Update body/description, or rename |
DELETE |
/api/skills/:name |
Delete a skill |
GET |
/api/profiles |
List profiles |
POST |
/api/profiles |
Create a profile |
GET |
/api/profiles/:slug |
Get a profile |
PATCH |
/api/profiles/:slug |
Update a profile |
DELETE |
/api/profiles/:slug |
Delete a profile |
POST |
/api/reload |
Re-read all config from disk |
ALL |
/mcp |
MCP endpoint — all skills |
ALL |
/mcp/p/:slug |
MCP endpoint — a profile'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 (statelessStreamableHTTPServerTransport) 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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