40 lines
1.5 KiB
YAML
40 lines
1.5 KiB
YAML
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name: docs-mcp
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version: "1.0.0"
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description: Self-hosted library documentation index — version-pinned docs scraped from sites, GitHub, npm and PyPI
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dockerImage: "ghcr.io/arabold/docs-mcp-server:latest"
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transport: SSE
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containerPort: 6280
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repositoryUrl: https://github.com/arabold/docs-mcp-server
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command:
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- --protocol
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- http
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- --host
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- 0.0.0.0
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- --port
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- "6280"
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# The scraped index is a SQLite file (better-sqlite3 + sqlite-vec) under /data.
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# There is no external-database mode, so the volume below is what makes the
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# index outlive instance recreation. Its claim is named after the server
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# (mcpctl-<server>-data), not the instance, so a server edit re-attaches to the
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# same data instead of starting empty.
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#
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# Health check omitted deliberately: `search_docs` requires a library argument,
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# so a synthetic probe would need a library that is only present after a scrape
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# and would report unhealthy on a fresh instance.
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volumes:
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- name: data
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mountPath: /data
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sizeGb: 20
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env:
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- name: DOCS_MCP_EMBEDDING_MODEL
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description: >-
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Embedding model as provider:name. Unset = keyword search only. For local
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embeddings use openai:nomic-embed-text with OPENAI_API_BASE on Ollama.
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required: false
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- name: OPENAI_API_BASE
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description: OpenAI-compatible embeddings endpoint, e.g. http://ollama:11434/v1
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required: false
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- name: OPENAI_API_KEY
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description: Embeddings API key. Literal "ollama" when pointing at a local Ollama.
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required: false
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