| name | langbot-mcp-ops |
| description | Operate a LangBot instance through its built-in MCP (Model Context Protocol) server. Use when an AI agent needs to manage LangBot — list/create/update/delete bots, pipelines, models, knowledge bases, MCP servers, and skills — over MCP instead of raw HTTP. Covers the /mcp endpoint, API-key auth (web-UI lbk_ keys and the config.yaml global key), the tool surface, and client configuration. Triggers on "langbot mcp", "manage langbot via mcp", "langbot /mcp", "langbot mcp server". |
LangBot MCP Operations
LangBot exposes an MCP server so AI agents can manage an instance
programmatically. It mirrors a curated subset of the HTTP service API.
Endpoint
http://<langbot-host>:5300/mcp
Transport: streamable HTTP (stateless, JSON responses). Same host/port as
the web UI and HTTP API.
Authentication
Reuses the same API keys as the HTTP API. Send either header:
X-API-Key: <api-key>
# or
Authorization: Bearer <api-key>
Two kinds of key are accepted:
- Web-UI key — created in the web UI (sidebar → API Keys), prefixed
lbk_,
stored in the database.
- Global API key — set in
data/config.yaml under api.global_api_key.
Requires no login session and no DB record; does not need the lbk_ prefix.
Leave empty to disable. See the langbot-deploy skill for config details.
Requests without a valid key get 401 Unauthorized.
Client configuration
{
"mcpServers": {
"langbot": {
"url": "http://<langbot-host>:5300/mcp",
"headers": { "X-API-Key": "<api-key>" }
}
}
}
Tool surface
The tools wrap the LangBot service layer. Current tools (v1):
| Tool | Purpose |
|---|
get_system_info | Version, edition, instance id |
list_bots / get_bot / create_bot / update_bot / delete_bot | Manage messaging-platform bots (secrets redacted on read) |
list_pipelines / get_pipeline / create_pipeline / update_pipeline / delete_pipeline | Manage pipelines |
list_llm_models / get_llm_model / list_embedding_models / list_model_providers | Inspect models & providers |
list_knowledge_bases / get_knowledge_base / retrieve_knowledge_base | RAG knowledge bases (incl. semantic search) |
list_mcp_servers | External MCP servers LangBot connects to (as a client) |
list_skills / get_skill | Installed skills |
Mutating tools (create_*, update_*) take a JSON object matching the same
shape as the corresponding HTTP API request body. Discover resources with the
list_* / get_* tools before mutating; identifiers are UUIDs.
How to use
- Get an API key (web UI key, or set
api.global_api_key in config.yaml).
- Point your MCP client at
http://<host>:5300/mcp with the key header.
- Call
get_system_info to confirm connectivity.
- Use
list_* tools to discover, then get_* / create_* / update_* /
delete_* as needed.
Implementation & maintenance (for LangBot developers)
- Server:
src/langbot/pkg/api/mcp/server.py (FastMCP). Tools call the service
layer directly, so the MCP surface stays aligned with the API.
- Mount:
src/langbot/pkg/api/mcp/mount.py — an ASGI dispatcher fronting Quart,
authenticating /mcp requests, running the streamable-HTTP session manager.
- Smoke test:
tests/manual/mcp_smoke.py.
When you add, remove, or change an HTTP API endpoint that should be
agent-accessible, update the corresponding MCP tool and this skill. The
MCP tool surface and the API must stay aligned (see AGENTS.md).
Pitfalls
/mcp is the server LangBot exposes. The /api/v1/mcp routes are the
client side (managing external MCP servers LangBot connects to). Don't
confuse them.- A
401 means the key is wrong, missing, or (for the global key)
api.global_api_key is empty in config.yaml.
- The global key is plaintext in config.yaml — only enable it on trusted/internal
deployments and serve over HTTPS.
