mcpField
C
codeweaver

codeweaver

ローカル
github.com検索1219 週間前に更新

codeweaver について

AI エージェント向けに構築されたセマンティックコード検索。ハイブリッド型、AST 対応、166 言語のコンテキストに対応。

設定

ローカルサーバーの設定はどのクライアントでも共通です。コピーしてクライアントの MCP 設定ファイルに貼り付けてください。

mcp.json · 共通設定
{
"mcpServers": {
"com-knitli-codeweaver": {
"command": "uvx",
"args": [
"code-weaver"
],
"env": {
"CODEWEAVER_CONFIG_FILE": "<CODEWEAVER_CONFIG_FILE>",
"CODEWEAVER_DEBUG": "<CODEWEAVER_DEBUG>",
"CODEWEAVER_EMBEDDING_API_KEY": "<CODEWEAVER_EMBEDDING_API_KEY>",
"CODEWEAVER_EMBEDDING_MODEL": "<CODEWEAVER_EMBEDDING_MODEL>",
"CODEWEAVER_EMBEDDING_PROVIDER": "<CODEWEAVER_EMBEDDING_PROVIDER>",
"CODEWEAVER_HOST": "<CODEWEAVER_HOST>",
"CODEWEAVER_LOG_LEVEL": "<CODEWEAVER_LOG_LEVEL>",
"CODEWEAVER_MCP_PORT": "<CODEWEAVER_MCP_PORT>",
"CODEWEAVER_PORT": "<CODEWEAVER_PORT>",
"CODEWEAVER_PROFILE": "<CODEWEAVER_PROFILE>",
"CODEWEAVER_PROJECT_NAME": "<CODEWEAVER_PROJECT_NAME>",
"CODEWEAVER_PROJECT_PATH": "<CODEWEAVER_PROJECT_PATH>",
"CODEWEAVER_RERANKING_API_KEY": "<CODEWEAVER_RERANKING_API_KEY>",
"CODEWEAVER_RERANKING_MODEL": "<CODEWEAVER_RERANKING_MODEL>",
"CODEWEAVER_RERANKING_PROVIDER": "<CODEWEAVER_RERANKING_PROVIDER>",
"CODEWEAVER_SPARSE_EMBEDDING_MODEL": "<CODEWEAVER_SPARSE_EMBEDDING_MODEL>",
"CODEWEAVER_SPARSE_EMBEDDING_PROVIDER": "<CODEWEAVER_SPARSE_EMBEDDING_PROVIDER>",
"CODEWEAVER_VECTOR_STORE_API_KEY": "<CODEWEAVER_VECTOR_STORE_API_KEY>",
"CODEWEAVER_VECTOR_STORE_PORT": "<CODEWEAVER_VECTOR_STORE_PORT>",
"CODEWEAVER_VECTOR_STORE_PROVIDER": "<CODEWEAVER_VECTOR_STORE_PROVIDER>",
"CODEWEAVER_VECTOR_STORE_URL": "<CODEWEAVER_VECTOR_STORE_URL>",
"CODEWEAVER__TELEMETRY__DISABLE_TELEMETRY": "<CODEWEAVER__TELEMETRY__DISABLE_TELEMETRY>",
"CODEWEAVER__TELEMETRY__TOOLS_OVER_PRIVACY": "<CODEWEAVER__TELEMETRY__TOOLS_OVER_PRIVACY>",
"HTTPS_PROXY": "<HTTPS_PROXY>",
"OPENAI_API_KEY": "<OPENAI_API_KEY>",
"OPENAI_LOG": "<OPENAI_LOG>",
"SSL_CERT_FILE": "<SSL_CERT_FILE>",
"AI_GATEWAY_API_KEY": "<AI_GATEWAY_API_KEY>",
"AWS_ACCOUNT_ID": "<AWS_ACCOUNT_ID>",
"AWS_REGION": "<AWS_REGION>",
"AWS_SECRET_ACCESS_KEY": "<AWS_SECRET_ACCESS_KEY>",
"AZURE_COHERE_API_KEY": "<AZURE_COHERE_API_KEY>",
"AZURE_COHERE_ENDPOINT": "<AZURE_COHERE_ENDPOINT>",
"AZURE_COHERE_REGION": "<AZURE_COHERE_REGION>",
"AZURE_OPENAI_API_KEY": "<AZURE_OPENAI_API_KEY>",
"AZURE_OPENAI_ENDPOINT": "<AZURE_OPENAI_ENDPOINT>",
"AZURE_OPENAI_REGION": "<AZURE_OPENAI_REGION>",
"COHERE_API_KEY": "<COHERE_API_KEY>",
"CO_API_URL": "<CO_API_URL>",
"DEEPSEEK_API_KEY": "<DEEPSEEK_API_KEY>",
"GEMINI_API_KEY": "<GEMINI_API_KEY>",
"GOOGLE_API_KEY": "<GOOGLE_API_KEY>",
"HF_HUB_VERBOSITY": "<HF_HUB_VERBOSITY>",
"HF_TOKEN": "<HF_TOKEN>",
"INFERENCE_KEY": "<INFERENCE_KEY>",
"INFERENCE_URL": "<INFERENCE_URL>",
"MISTRAL_API_KEY": "<MISTRAL_API_KEY>",
"QDRANT__LOG_LEVEL": "<QDRANT__LOG_LEVEL>",
"QDRANT__SERVICE__API_KEY": "<QDRANT__SERVICE__API_KEY>",
"QDRANT__SERVICE__ENABLE_TLS": "<QDRANT__SERVICE__ENABLE_TLS>",
"QDRANT__SERVICE__HOST": "<QDRANT__SERVICE__HOST>",
"QDRANT__SERVICE__HTTP_PORT": "<QDRANT__SERVICE__HTTP_PORT>",
"QDRANT__TLS__CERT": "<QDRANT__TLS__CERT>",
"TAVILY_API_KEY": "<TAVILY_API_KEY>",
"TOGETHER_API_KEY": "<TOGETHER_API_KEY>",
"VERCEL_OIDC_TOKEN": "<VERCEL_OIDC_TOKEN>",
"VOYAGE_API_KEY": "<VOYAGE_API_KEY>"
}
}
}
}
起動コマンドuvx code-weaver
設定が必要な環境変数
CODEWEAVER_CONFIG_FILESpecify a custom config file path for CodeWeaver. Only needed if not using the default locations.
CODEWEAVER_DEBUGEnable debug mode for CodeWeaver.
CODEWEAVER_EMBEDDING_API_KEYシークレットSpecify the API key for the embedding provider, if required. Note: {', '.join([p for p in _providers_for_kind('embedding') if p.])}
CODEWEAVER_EMBEDDING_MODELSpecify the embedding model to use.
CODEWEAVER_EMBEDDING_PROVIDERSpecify the embedding provider to use.
CODEWEAVER_HOSTSet the server host for CodeWeaver.
CODEWEAVER_LOG_LEVELSet the log level for CodeWeaver (e.g., DEBUG, INFO, WARNING, ERROR).
CODEWEAVER_MCP_PORTSet the MCP server port for CodeWeaver if using http transport for mcp. Not required if using the default port (9328), or stdio transport.
CODEWEAVER_PORTSet the port for the codeweaver management server (information and management endpoints).
CODEWEAVER_PROFILEUse a premade provider settings profile for CodeWeaver.
CODEWEAVER_PROJECT_NAMESet the project name for CodeWeaver.
CODEWEAVER_PROJECT_PATHSet the project path for CodeWeaver.
CODEWEAVER_RERANKING_API_KEYシークレットSpecify the API key for the reranking provider, if required.
CODEWEAVER_RERANKING_MODELSpecify the reranking model to use.
CODEWEAVER_RERANKING_PROVIDERSpecify the reranking provider to use.
CODEWEAVER_SPARSE_EMBEDDING_MODELSpecify the sparse embedding model to use.
CODEWEAVER_SPARSE_EMBEDDING_PROVIDERSpecify the sparse embedding provider to use.
CODEWEAVER_VECTOR_STORE_API_KEYシークレットSpecify the API key for the vector store, if required.
CODEWEAVER_VECTOR_STORE_PORTSpecify the port for the vector store.
CODEWEAVER_VECTOR_STORE_PROVIDERSpecify the vector store provider to use.
CODEWEAVER_VECTOR_STORE_URLSpecify the URL for the vector store.
CODEWEAVER__TELEMETRY__DISABLE_TELEMETRYDisable telemetry data collection.
CODEWEAVER__TELEMETRY__TOOLS_OVER_PRIVACYOpt-in to potentially identifying collection of query and search result data. This is invaluable for helping us improve CodeWeaver's search capabilities. If privacy is a higher priority, do not enable this setting.
HTTPS_PROXYHTTP proxy for requests (Used by: Azure, Azure, Voyage)
OPENAI_API_KEYシークレットAPI key for OpenAI-compatible services (not necessarily an API key *for* OpenAI). The OpenAI client also requires an API key, even if you don't actually need one for your provider (like local Ollama). So provide a dummy key if needed. (Used by: Azure, Cerebras, Deepseek, Fireworks, Github, Groq, Heroku, Moonshot, Ollama, Openai, Openrouter, Perplexity, Together, Vercel, X Ai)
OPENAI_LOGOne of: 'debug', 'info', 'warning', 'error' (Used by: Azure, Cerebras, Deepseek, Fireworks, Github, Groq, Heroku, Moonshot, Ollama, Openai, Openrouter, Perplexity, Together, Vercel, X Ai)
SSL_CERT_FILEPath to the SSL certificate file for requests (Used by: Azure, Azure, Voyage)
AI_GATEWAY_API_KEYシークレットAPI key for Vercel service
AWS_ACCOUNT_IDAWS Account ID for Bedrock service
AWS_REGIONAWS region for Bedrock service
AWS_SECRET_ACCESS_KEYシークレットAWS Secret Access Key for Bedrock service
AZURE_COHERE_API_KEYシークレットAPI key for Azure Cohere service (cohere models on Azure)
AZURE_COHERE_ENDPOINTEndpoint for Azure Cohere service (cohere models on Azure)
AZURE_COHERE_REGIONRegion for Azure Cohere service
AZURE_OPENAI_API_KEYシークレットAPI key for Azure OpenAI service (OpenAI models on Azure)
AZURE_OPENAI_ENDPOINTEndpoint for Azure OpenAI service (OpenAI models on Azure)
AZURE_OPENAI_REGIONRegion for Azure OpenAI service (OpenAI models on Azure)
COHERE_API_KEYシークレットYour Cohere API Key
CO_API_URLHost URL for Cohere service
DEEPSEEK_API_KEYシークレットAPI key for DeepSeek service
GEMINI_API_KEYシークレットYour Google Gemini API Key
GOOGLE_API_KEYシークレットYour Google API Key
HF_HUB_VERBOSITYLog level for Hugging Face Hub client
HF_TOKENシークレットAPI key/token for Hugging Face service
INFERENCE_KEYシークレットAPI key for Heroku service
INFERENCE_URLHost URL for Heroku service
MISTRAL_API_KEYシークレットYour Mistral API Key
QDRANT__LOG_LEVELLog level for Qdrant service
QDRANT__SERVICE__API_KEYシークレットAPI key for Qdrant service
QDRANT__SERVICE__ENABLE_TLSEnable TLS for Qdrant service, expects truthy or false value (e.g. 1 for on, 0 for off).
QDRANT__SERVICE__HOSTHostname of the Qdrant service; do not use for URLs with schemes (e.g. 'http://')
QDRANT__SERVICE__HTTP_PORTPort number for the Qdrant service
QDRANT__TLS__CERTPath to the TLS certificate file for Qdrant service. Only needed if using a self-signed certificate. If you're using qdrant-cloud, you don't need this.
TAVILY_API_KEYシークレットYour Tavily API Key
TOGETHER_API_KEYシークレットAPI key for Together service
VERCEL_OIDC_TOKENシークレットOIDC token for Vercel service
VOYAGE_API_KEYシークレットAPI key for Voyage service

ローカルサーバーにはマシン上の実行環境(Node.js 18 以上など)が必要です。設定ファイルの場所はクライアントごとに異なります。

パッケージ
pypicode-weaver0.1.0a3
ocidocker.io/knitli/codeweaver:0.1.0-alpha.3

ツール

ツール一覧はまだ取得されていません

ローカルサーバーのツールはマシン上で起動して初めて取得できます。メンテナーはまだツール一覧を提供していません。

詳細

メンテナーはまだ詳細を追加していません。リポジトリの README をご覧ください。

コメント

MCP は初めてですか?

プロトコルの概要から最初のサーバーの導入まで、よくある疑問にまとめて答えます。

AI アプリケーションが外部のツールやデータソースに統一的な方法で接続するためのオープンなプロトコルです。クライアントはモデルとの対話を担い、MCP サーバーはツール・リソース・プロンプトテンプレートを提供します。標準メッセージでやり取りするため、1 つのサーバーを複数のクライアントで再利用できます。