القائمة
Vector search indexing and querying workflows using MCP Vector Search, including setup, reindexing, auto-index strategies, and MCP integration.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
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General React fundamentals - components and JSX, props and state, the core hooks (useState/useEffect/useRef/useMemo/useCallback/useContext), composition, conditional and list rendering, and controlled inputs. The canonical "depends on React" reference.
| name | vector-search-workflows |
| description | Vector search indexing and querying workflows using MCP Vector Search, including setup, reindexing, auto-index strategies, and MCP integration. |
| user-invocable | false |
| disable-model-invocation | true |
| version | 1.0.0 |
| category | toolchain |
| author | Claude MPM Team |
| license | MIT |
| progressive_disclosure | {"entry_point":{"summary":"Index a codebase with mcp-vector-search, keep it fresh with auto-indexing, and query via CLI or MCP integration.","when_to_use":"Building semantic search for codebases, setting up MCP search tools, or troubleshooting indexing and reindexing workflows.","quick_start":"1. mcp-vector-search setup 2. mcp-vector-search search \"query\" 3. mcp-vector-search index --force when schema changes"}} |
| tags | ["vector-search","embeddings","indexing","search","mcp"] |
Use mcp-vector-search to index codebases into ChromaDB and search via semantic embeddings. The recommended flow is setup (init + index + MCP integration), then search, and use index or auto-index to keep data fresh.
pip install mcp-vector-search
mcp-vector-search setup
mcp-vector-search search "authentication logic"
setup detects languages, initializes config, indexes the repo, and configures MCP integrations (Claude Code, Cursor, etc.).
mcp-vector-search index
mcp-vector-search index --force
mcp-vector-search index reindex --all --force
mcp-vector-search index reindex path/to/file.py
mcp-vector-search auto-index setup --method all
mcp-vector-search auto-index status
mcp-vector-search auto-index check --auto-reindex --max-files 10
mcp-vector-search auto-index teardown --method all
mcp-vector-search search "error handling patterns"
mcp-vector-search search "vector store initialization"
mcp-vector-search status
mcp-vector-search doctor
setup uses native claude mcp add when available, otherwise falls back to .mcp.json.
Typical .mcp.json entry:
{
"mcpServers": {
"mcp-vector-search": {
"type": "stdio",
"command": "uv",
"args": ["run", "mcp-vector-search", "mcp"],
"env": {
"MCP_ENABLE_FILE_WATCHING": "true"
}
}
}
}
uv for dev installs: uv sync --devsetup --force to rebuild config + index after tool upgradesMCP_ENABLE_FILE_WATCHING=truetoolchains/ai/protocols/model-contextuniversal/main/model-context-builder