mirror of
https://github.com/safishamsi/graphify.git
synced 2026-08-29 09:46:43 +00:00
Nicola AvanciniandClaude Fable 5
576d5cbb61
mcp 2.0 removed the low-level decorator API the server was built on and changed several models. _build_server now defines the four handlers as plain coroutines and binds them at the end in a version-aware way: the @server.list_tools()/... decorators on 1.x, the on_list_tools=/... constructor callbacks (with explicit ListToolsResult/CallToolResult/ ListResourcesResult/ReadResourceResult wrapping) on 2.x. Model diffs handled: Tool.inputSchema is input_schema on 2.x (constructor aliases work on both, attribute access does not); Resource.uri is a plain str on 2.x and rejects AnyUrl instances, so resource URIs are passed as strings (1.x coerces them). The 2.x server also reports graphifyy's own version in serverInfo. Extras relaxed from mcp>=1,<2 to mcp>=1,<3. Verified: full stdio handshake (initialize / tools/list / tools/call / resources/list / resources/read) and the tests in test_serve.py + test_serve_http.py (145 passed) under BOTH mcp 1.29.0 and mcp 2.0.0. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
153 lines
6.2 KiB
TOML
153 lines
6.2 KiB
TOML
[build-system]
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requires = ["setuptools>=77"]
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build-backend = "setuptools.build_meta"
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[project]
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name = "graphifyy"
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version = "0.9.30"
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description = "AI coding assistant skill (Claude Code, CodeBuddy, Codex, OpenCode, Kilo Code, Cursor, Gemini CLI, Aider, OpenClaw, Factory Droid, Trae, Hermes, Kiro, Pi, Devin CLI, Google Antigravity) - turn any folder of code, docs, papers, images, or videos into a queryable knowledge graph"
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readme = "README.md"
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license = "Apache-2.0"
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license-files = ["LICENSE", "LICENSE-MIT", "NOTICE"]
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keywords = ["claude", "claude-code", "codex", "opencode", "kilo", "cursor", "gemini", "aider", "kiro", "pi", "devin", "knowledge-graph", "rag", "graphrag", "obsidian", "community-detection", "tree-sitter", "leiden", "llm"]
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requires-python = ">=3.10"
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dependencies = [
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"networkx>=3.4",
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"numpy>=1.21",
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"rapidfuzz>=3.0",
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"tree-sitter>=0.23.0,<0.26",
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"tree-sitter-python>=0.23,<0.26",
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"tree-sitter-javascript>=0.23,<0.26",
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"tree-sitter-typescript>=0.23,<0.25",
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"tree-sitter-go>=0.23,<0.26",
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"tree-sitter-rust>=0.23,<0.25",
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"tree-sitter-java>=0.23,<0.25",
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"tree-sitter-groovy>=0.1,<0.3",
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"tree-sitter-c>=0.23,<0.25",
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"tree-sitter-cpp>=0.23,<0.25",
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"tree-sitter-ruby>=0.23,<0.25",
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"tree-sitter-c-sharp>=0.23,<0.25",
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"tree-sitter-kotlin>=1.0,<2.0",
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"tree-sitter-scala>=0.23,<0.27",
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"tree-sitter-php>=0.23,<0.25",
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"tree-sitter-swift>=0.7,<0.9",
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"tree-sitter-lua>=0.2,<0.6",
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"tree-sitter-zig>=1.0,<2.0",
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"tree-sitter-powershell>=0.26,<0.28",
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"tree-sitter-elixir>=0.3,<0.5",
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"tree-sitter-objc>=3.0,<4.0",
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"tree-sitter-julia>=0.23,<0.25",
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"tree-sitter-verilog>=1.0,<2.0",
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"tree-sitter-fortran>=0.6,<0.8",
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"tree-sitter-bash>=0.23,<0.27",
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"tree-sitter-json>=0.23,<0.26",
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]
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[project.urls]
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Homepage = "https://github.com/Graphify-Labs/graphify"
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Repository = "https://github.com/Graphify-Labs/graphify"
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Issues = "https://github.com/Graphify-Labs/graphify/issues"
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[project.optional-dependencies]
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# starlette is pulled in transitively by mcp, but graphify/serve.py imports it
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# directly for the HTTP transport, so declare it here and floor it above the
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# CVE-2026-48818 / CVE-2026-54283 fixes (both resolved by 1.3.1) (#1391, #1396).
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# serve.py is dual-compat with the 1.x decorator API and the 2.x on_*
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# constructor-callback API (registration is picked at runtime in
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# _build_server), lifting the <2 cap 0.9.30 introduced for #2277/#2279/#2291;
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# cap below 3 as the tested range. starlette stays capped below its next major.
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mcp = ["mcp>=1,<3", "starlette>=1.3.1,<2"]
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neo4j = ["neo4j"]
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falkordb = ["falkordb"]
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pdf = ["pypdf>=6.12.0", "markdownify"]
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watch = ["watchdog"]
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svg = ["matplotlib", "numpy>=2.0; python_version >= '3.13'"]
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leiden = ["graspologic; python_version < '3.13'"]
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office = ["python-docx", "openpyxl"]
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google = ["openpyxl"]
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postgres = ["psycopg[binary]"]
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video = ["faster-whisper; python_version >= '3.11'", "yt-dlp>=2026.6.9"]
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kimi = ["openai", "tiktoken"]
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ollama = ["openai"]
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bedrock = ["boto3"]
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anthropic = ["anthropic"]
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gemini = ["openai", "tiktoken"]
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openai = ["openai", "tiktoken"]
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chinese = ["jieba"]
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sql = ["tree-sitter-sql"]
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# extract_pascal() uses tree-sitter-pascal for AST-quality extraction (more
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# accurate calls/inherits edges) and falls back to a regex extractor when it is
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# absent (#781), so this stays optional. Unlike tree-sitter-dm below, it ships
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# prebuilt wheels for every platform (win/macOS/Linux), so no C toolchain needed.
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pascal = ["tree-sitter-pascal"]
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# tree-sitter-dm (BYOND DreamMaker) ships only a Windows wheel, so on Linux/Mac it
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# must compile from source (needs a C toolchain + python3-dev). Keeping it optional
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# avoids breaking the default `uv tool install graphifyy` for everyone (#1104).
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dm = ["tree-sitter-dm"]
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terraform = ["tree-sitter-hcl"]
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all = ["mcp>=1,<3", "starlette>=1.3.1,<2", "neo4j", "falkordb", "pypdf>=6.12.0", "markdownify", "watchdog", "graspologic; python_version < '3.13'", "python-docx", "openpyxl", "faster-whisper; python_version >= '3.11'", "yt-dlp>=2026.6.9", "matplotlib", "numpy>=2.0; python_version >= '3.13'", "openai", "tiktoken", "boto3", "anthropic", "tree-sitter-sql", "jieba", "tree-sitter-dm", "tree-sitter-hcl", "tree-sitter-pascal"]
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[project.scripts]
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graphify = "graphify.__main__:main"
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graphify-mcp = "graphify.serve:_main"
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[dependency-groups]
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dev = [
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"bandit>=1.9.4",
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"build>=1.5.0",
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"hypothesis>=6.152.7",
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"nuitka>=4.1",
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"patchelf>=0.17.2.4 ; sys_platform != 'win32'",
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"pip-audit>=2.10.0",
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"pre-commit>=4.6.0",
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"pyright>=1.1.409",
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"pytest>=9.0.3",
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"pytest-cov>=7.1.0",
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"ruff>=0.15.13",
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"setuptools>=82.0.1",
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"wheel>=0.47.0",
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"tomli>=2.0 ; python_version < '3.11'",
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"tree-sitter-hcl>=1.2.0",
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]
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[tool.uv]
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# Install via: uv tool install graphifyy
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# Run without installing: uvx graphifyy install
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package = true
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[tool.setuptools]
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packages = ["graphify", "graphify.extractors", "graphify.exporters"]
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include-package-data = false
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[tool.setuptools.package-data]
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# The skill bodies ship as graphify/skill*.md (the SKILL.md a host installs is
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# copied from one of these). The progressive-disclosure references sidecar ships
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# under graphify/skills/<host>/references/, and the always-on injection blocks
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# under graphify/always_on/. There is no graphify/skills/<host>/SKILL.md in the
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# repo, so no SKILL.md glob is needed here.
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graphify = ["skill.md", "skill-codex.md", "skill-opencode.md", "skill-kilo.md", "command-kilo.md", "skill-aider.md", "skill-amp.md", "skill-agents.md", "skill-copilot.md", "skill-claw.md", "skill-windows.md", "skill-droid.md", "skill-trae.md", "skill-kiro.md", "skill-vscode.md", "skill-pi.md", "skill-devin.md", "skills/*/references/*.md", "always_on/*.md"]
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[tool.pytest.ini_options]
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testpaths = ["tests"]
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norecursedirs = [
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"graphify-benchmark", "graphify_eval", "graphify_test",
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"worked", "llm-stack-corpus", "llm-stack-demo", "product-site",
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"scripts", "ebook", ".github", "dist", "build",
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]
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[tool.bandit]
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skips = ["B404"]
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[tool.ruff]
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line-length = 100
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target-version = "py310"
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[tool.ruff.lint]
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# Keep the committed baseline conservative until upstream adopts a broader lint policy.
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select = ["E9", "F63", "F7", "F82"]
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[tool.pyright]
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include = ["graphify", "tests"]
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pythonVersion = "3.10"
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typeCheckingMode = "basic"
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