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https://github.com/langchain-ai/mcpdoc.git
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921fe07dd0
Currently I add this workflow to Cursor. We should embed this in the tool itself. ``` use the langgraph-docs-mcp server to answer any LangGraph questions -- + call list_doc_sources tool to get the available llms.txt file + call fetch_docs tool to read it + reflect on the urls in llms.txt + reflect on the input question + call fetch_docs on any urls relevant to the question + use this to answer the question ``` --------- Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>
35 lines
608 B
TOML
35 lines
608 B
TOML
[project]
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name = "mcpdoc"
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version = "0.0.5"
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description = "Server llms-txt documentation over MCP"
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readme = "README.md"
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license = "MIT"
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requires-python = ">=3.10"
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dependencies = [
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"httpx>=0.28.1",
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"markdownify>=1.1.0",
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"mcp[cli]>=1.4.1",
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"pyyaml>=6.0.1",
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]
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[project.scripts]
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mcpdoc = "mcpdoc.cli:main"
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[dependency-groups]
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test = [
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"pytest>=8.3.4",
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"pytest-asyncio>=0.25.3",
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"pytest-cov>=6.0.0",
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"pytest-mock>=3.14.0",
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"pytest-socket>=0.7.0",
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"pytest-timeout>=2.3.1",
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"ruff>=0.9.7",
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]
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[build-system]
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requires = ["hatchling"]
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build-backend = "hatchling.build"
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