8a31121e30
# Conflicts: # completions/mcpctl.bash # completions/mcpctl.fish # src/cli/src/commands/create.ts # src/db/src/seed/index.ts
45 lines
1.7 KiB
YAML
45 lines
1.7 KiB
YAML
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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# `list_libraries` takes no arguments and reads the SQLite store, so a pass
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# proves the volume is actually mounted and readable — not just that the process
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# is up. It answers "No libraries indexed yet." on a fresh instance rather than
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# erroring, which is why it works as a probe where `search_docs` (needs a
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# library that only exists after a scrape) does not.
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healthCheck:
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tool: list_libraries
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arguments: {}
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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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