name: docs-mcp
version: "1.0.0"
description: Self-hosted library documentation index — version-pinned docs scraped from sites, GitHub, npm and PyPI
dockerImage: "ghcr.io/arabold/docs-mcp-server:latest"
transport: SSE
containerPort: 6280
repositoryUrl: https://github.com/arabold/docs-mcp-server
command:
  - --protocol
  - http
  - --host
  - 0.0.0.0
  - --port
  - "6280"
# The scraped index is a SQLite file (better-sqlite3 + sqlite-vec) under /data.
# There is no external-database mode, so the volume below is what makes the
# index outlive instance recreation. Its claim is named after the server
# (mcpctl-<server>-data), not the instance, so a server edit re-attaches to the
# same data instead of starting empty.
#
# `list_libraries` takes no arguments and reads the SQLite store, so a pass
# proves the volume is actually mounted and readable — not just that the process
# is up. It answers "No libraries indexed yet." on a fresh instance rather than
# erroring, which is why it works as a probe where `search_docs` (needs a
# library that only exists after a scrape) does not.
healthCheck:
  tool: list_libraries
  arguments: {}
volumes:
  - name: data
    mountPath: /data
    sizeGb: 20
env:
  - name: DOCS_MCP_EMBEDDING_MODEL
    description: >-
      Embedding model as provider:name. Unset = keyword search only. For local
      embeddings use openai:nomic-embed-text with OPENAI_API_BASE on Ollama.
    required: false
  - name: OPENAI_API_BASE
    description: OpenAI-compatible embeddings endpoint, e.g. http://ollama:11434/v1
    required: false
  - name: OPENAI_API_KEY
    description: Embeddings API key. Literal "ollama" when pointing at a local Ollama.
    required: false