MCP Server
MCP
com.knitli/codeweaver
By Semantic code search built for AI agents. Hybrid, AST-aware, context for 166 languages.
Install
uvx code-weaverConfiguration Example
{
"remotes": [],
"packages": [
{
"registryType": "pypi",
"identifier": "code-weaver",
"version": "0.1.0a3",
"runtimeHint": "uvx",
"transport": {
"type": "stdio"
},
"packageArguments": [
{
"description": "Start the MCP server",
"isRequired": true,
"value": "server",
"type": "positional"
},
{
"description": "Path to the code repository to index and search",
"type": "named",
"name": "--project",
"valueHint": "path"
},
{
"description": "Path to configuration file (TOML, YAML or JSON format). Only needed if not using default config locations.",
"type": "named",
"name": "--config",
"valueHint": "file_path"
},
{
"description": "Host address for MCP server",
"default": "127.0.0.1",
"type": "named",
"name": "--host",
"valueHint": "host"
},
{
"description": "Port for MCP server",
"format": "number",
"default": "9328",
"type": "named",
"name": "--port",
"valueHint": "port"
},
{
"description": "Transport type for MCP communication. ",
"default": "streamable-http",
"choices": [
"streamable-http",
"stdio"
],
"type": "named",
"name": "--transport"
},
{
"description": "Enable verbose logging with timestamps",
"format": "boolean",
"type": "named",
"name": "--verbose"
},
{
"description": "Enable debug logging",
"format": "boolean",
"type": "named",
"name": "--debug"
}
],
"environmentVariables": [
{
"description": "Specify a custom config file path for CodeWeaver. Only needed if not using the default locations.",
"format": "filepath",
"name": "CODEWEAVER_CONFIG_FILE"
},
{
"description": "Enable debug mode for CodeWeaver.",
"format": "boolean",
"default": "false",
"choices": [
"true",
"false"
],
"name": "CODEWEAVER_DEBUG"
},
{
"description": "Specify the API key for the embedding provider, if required. Note: {', '.join([p for p in _providers_for_kind('embedding') if p.])}",
"format": "string",
"isSecret": true,
"choices": [
"cohere",
"azure",
"together",
"google",
"vercel",
"bedrock",
"heroku",
"groq",
"github",
"openai",
"ollama (cloud only)",
"mistral",
"hf_inference",
"fireworks",
"voyage"
],
"name": "CODEWEAVER_EMBEDDING_API_KEY"
},
{
"description": "Specify the embedding model to use.",
"format": "string",
"default": "voyage-code-3",
"name": "CODEWEAVER_EMBEDDING_MODEL"
},
{
"description": "Specify the embedding provider to use.",
"format": "string",
"default": "voyage",
"choices": [
"cohere",
"azure",
"together",
"google",
"sentence_transformers",
"vercel",
"bedrock",
"heroku",
"groq",
"github",
"openai",
"mistral",
"hf_inference",
"fireworks",
"ollama",
"fastembed",
"voyage"
],
"name": "CODEWEAVER_EMBEDDING_PROVIDER"
},
{
"description": "Set the server host for CodeWeaver.",
"format": "string",
"default": "localhost",
"name": "CODEWEAVER_HOST"
},
{
"description": "Set the log level for CodeWeaver (e.g., DEBUG, INFO, WARNING, ERROR).",
"format": "string",
"default": "WARNING",
"choices": [
"CRITICAL",
"INFO",
"DEBUG",
"ERROR",
"WARNING"
],
"name": "CODEWEAVER_LOG_LEVEL"
},
{
"description": "Set the MCP server port for CodeWeaver if using http transport for mcp. Not required if using the default port (9328), or stdio transport.",
"format": "number",
"default": "9328",
"name": "CODEWEAVER_MCP_PORT"
},
{
"description": "Set the port for the codeweaver management server (information and management endpoints).",
"format": "number",
"default": "9329",
"name": "CODEWEAVER_PORT"
},
{
"description": "Use a premade provider settings profile for CodeWeaver.",
"format": "string",
"choices": [
"testing",
"quickstart",
"recommended"
],
"name": "CODEWEAVER_PROFILE"
},
{
"description": "Set the project name for CodeWeaver.",
"format": "string",
"name": "CODEWEAVER_PROJECT_NAME"
},
{
"description": "Set the project path for CodeWeaver.",
"format": "filepath",
"name": "CODEWEAVER_PROJECT_PATH"
},
{
"description": "Specify the API key for the reranking provider, if required.",
"format": "string",
"isSecret": true,
"choices": [
"cohere",
"bedrock",
"voyage"
],
"name": "CODEWEAVER_RERANKING_API_KEY"
},
{
"description": "Specify the reranking model to use.",
"format": "string",
"default": "rerank-2.5",
"name": "CODEWEAVER_RERANKING_MODEL"
},
{
"description": "Specify the reranking provider to use.",
"format": "string",
"default": "voyage",
"choices": [
"cohere",
"sentence_transformers",
"bedrock",
"fastembed",
"voyage"
],
"name": "CODEWEAVER_RERANKING_PROVIDER"
},
{
"description": "Specify the sparse embedding model to use.",
"format": "string",
"default": "prithivida/Splade_pp_en_v1",
"name": "CODEWEAVER_SPARSE_EMBEDDING_MODEL"
},
{
"description": "Specify the sparse embedding provider to use.",
"format": "string",
"default": "fastembed",
"choices": [
"sentence_transformers",
"fastembed"
],
"name": "CODEWEAVER_SPARSE_EMBEDDING_PROVIDER"
},
{
"description": "Specify the API key for the vector store, if required.",
"format": "string",
"isSecret": true,
"choices": [
"qdrant (cloud only)",
"qdrant"
],
"name": "CODEWEAVER_VECTOR_STORE_API_KEY"
},
{
"description": "Specify the port for the vector store.",
"format": "string",
"default": "6333",
"name": "CODEWEAVER_VECTOR_STORE_PORT"
},
{
"description": "Specify the vector store provider to use.",
"format": "string",
"default": "qdrant",
"choices": [
"memory",
"qdrant"
],
"name": "CODEWEAVER_VECTOR_STORE_PROVIDER"
},
{
"description": "Specify the URL for the vector store.",
"format": "string",
"default": "http://localhost",
"name": "CODEWEAVER_VECTOR_STORE_URL"
},
{
"description": "Disable telemetry data collection.",
"format": "boolean",
"default": "false",
"choices": [
"true",
"false"
],
"name": "CODEWEAVER__TELEMETRY__DISABLE_TELEMETRY"
},
{
"description": "Opt-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.",
"format": "boolean",
"default": "false",
"choices": [
"true",
"false"
],
"name": "CODEWEAVER__TELEMETRY__TOOLS_OVER_PRIVACY"
},
{
"description": "HTTP proxy for requests (Used by: Azure, Azure, Voyage)",
"format": "string",
"name": "HTTPS_PROXY"
},
{
"description": "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)",
"format": "string",
"isSecret": true,
"name": "OPENAI_API_KEY"
},
{
"description": "One of: 'debug', 'info', 'warning', 'error' (Used by: Azure, Cerebras, Deepseek, Fireworks, Github, Groq, Heroku, Moonshot, Ollama, Openai, Openrouter, Perplexity, Together, Vercel, X Ai)",
"format": "string",
"choices": [
"error",
"warning",
"debug",
"info"
],
"name": "OPENAI_LOG"
},
{
"description": "Path to the SSL certificate file for requests (Used by: Azure, Azure, Voyage)",
"format": "string",
"name": "SSL_CERT_FILE"
},
{
"description": "API key for Vercel service",
"format": "string",
"isSecret": true,
"name": "AI_GATEWAY_API_KEY"
},
{
"description": "AWS Account ID for Bedrock service",
"format": "string",
"name": "AWS_ACCOUNT_ID"
},
{
"description": "AWS region for Bedrock service",
"format": "string",
"name": "AWS_REGION"
},
{
"description": "AWS Secret Access Key for Bedrock service",
"format": "string",
"isSecret": true,
"name": "AWS_SECRET_ACCESS_KEY"
},
{
"description": "API key for Azure Cohere service (cohere models on Azure)",
"format": "string",
"isSecret": true,
"name": "AZURE_COHERE_API_KEY"
},
{
"description": "Endpoint for Azure Cohere service (cohere models on Azure)",
"format": "string",
"name": "AZURE_COHERE_ENDPOINT"
},
{
"description": "Region for Azure Cohere service",
"format": "string",
"name": "AZURE_COHERE_REGION"
},
{
"description": "API key for Azure OpenAI service (OpenAI models on Azure)",
"format": "string",
"isSecret": true,
"name": "AZURE_OPENAI_API_KEY"
},
{
"description": "Endpoint for Azure OpenAI service (OpenAI models on Azure)",
"format": "string",
"name": "AZURE_OPENAI_ENDPOINT"
},
{
"description": "Region for Azure OpenAI service (OpenAI models on Azure)",
"format": "string",
"name": "AZURE_OPENAI_REGION"
},
{
"description": "Your Cohere API Key",
"format": "string",
"name": "COHERE_API_KEY"
},
{
"description": "Host URL for Cohere service",
"format": "string",
"name": "CO_API_URL"
},
{
"description": "API key for DeepSeek service",
"format": "string",
"isSecret": true,
"name": "DEEPSEEK_API_KEY"
},
{
"description": "Your Google Gemini API Key",
"format": "string",
"name": "GEMINI_API_KEY"
},
{
"description": "Your Google API Key",
"format": "string",
"name": "GOOGLE_API_KEY"
},
{
"description": "Log level for Hugging Face Hub client",
"format": "string",
"choices": [
"warning",
"debug",
"info",
"critical",
"error"
],
"name": "HF_HUB_VERBOSITY"
},
{
"description": "API key/token for Hugging Face service",
"format": "string",
"name": "HF_TOKEN"
},
{
"description": "HTTP proxy for requests",
"format": "string",
"name": "HTTPS_PROXY"
},
{
"description": "API key for Heroku service",
"format": "string",
"isSecret": true,
"name": "INFERENCE_KEY"
},
{
"description": "Host URL for Heroku service",
"format": "string",
"name": "INFERENCE_URL"
},
{
"description": "Your Mistral API Key",
"format": "string",
"name": "MISTRAL_API_KEY"
},
{
"description": "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.",
"format": "string",
"isSecret": true,
"name": "OPENAI_API_KEY"
},
{
"description": "One of: 'debug', 'info', 'warning', 'error'",
"format": "string",
"choices": [
"error",
"warning",
"debug",
"info"
],
"name": "OPENAI_LOG"
},
{
"description": "Log level for Qdrant service",
"format": "string",
"choices": [
"DEBUG",
"ERROR",
"INFO",
"WARNING"
],
"name": "QDRANT__LOG_LEVEL"
},
{
"description": "API key for Qdrant service",
"format": "string",
"isSecret": true,
"name": "QDRANT__SERVICE__API_KEY"
},
{
"description": "Enable TLS for Qdrant service, expects truthy or false value (e.g. 1 for on, 0 for off).",
"format": "boolean",
"choices": [
"true",
"false"
],
"name": "QDRANT__SERVICE__ENABLE_TLS"
},
{
"description": "Hostname of the Qdrant service; do not use for URLs with schemes (e.g. 'http://')",
"format": "string",
"name": "QDRANT__SERVICE__HOST"
},
{
"description": "Port number for the Qdrant service",
"format": "string",
"name": "QDRANT__SERVICE__HTTP_PORT"
},
{
"description": "Path 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.",
"format": "filepath",
"name": "QDRANT__TLS__CERT"
},
{
"description": "Path to the SSL certificate file for requests",
"format": "string",
"name": "SSL_CERT_FILE"
},
{
"description": "Your Tavily API Key",
"format": "string",
"name": "TAVILY_API_KEY"
},
{
"description": "API key for Together service",
"format": "string",
"isSecret": true,
"name": "TOGETHER_API_KEY"
},
{
"description": "OIDC token for Vercel service",
"format": "string",
"isSecret": true,
"name": "VERCEL_OIDC_TOKEN"
},
{
"description": "API key for Voyage service",
"format": "string",
"isSecret": true,
"name": "VOYAGE_API_KEY"
}
]
},
{
"registryType": "oci",
"identifier": "docker.io/knitli/codeweaver:0.1.0-alpha.3",
"runtimeHint": "docker",
"transport": {
"type": "stdio"
},
"runtimeArguments": [
{
"description": "Automatically remove container when it exits",
"type": "named",
"name": "--rm"
},
{
"description": "Mount workspace directory as read-only",
"value": "{workspace}:/workspace:ro",
"variables": {
"workspace": {
"description": "Path to your codebase to index and search",
"isRequired": true
}
},
"type": "named",
"name": "-v"
},
{
"description": "Set repository path inside container",
"value": "CODEWEAVER_PROJECT_PATH=/workspace",
"type": "named",
"name": "-e"
},
{
"description": "Port mapping for MCP server",
"value": "{host_port}:9328",
"variables": {
"host_port": {
"description": "Host port to expose MCP server",
"default": "9328"
}
},
"type": "named",
"name": "-p"
},
{
"description": "Docker network for Qdrant connectivity",
"value": "{network}",
"variables": {
"network": {
"description": "Docker network name (use 'host' for local Qdrant or custom network)",
"default": "bridge"
}
},
"type": "named",
"name": "--network"
}
],
"packageArguments": [
{
"description": "Start CodeWeaver MCP server",
"value": "server",
"type": "positional"
},
{
"description": "Bind to all interfaces in container",
"value": "0.0.0.0",
"type": "named",
"name": "--host"
},
{
"description": "MCP server port inside container",
"value": "9328",
"type": "named",
"name": "--port"
},
{
"description": "Use streamable-http for persistent state and continuous indexing",
"default": "streamable-http",
"choices": [
"streamable-http",
"stdio"
],
"type": "named",
"name": "--transport"
}
],
"environmentVariables": [
{
"description": "Specify a custom config file path for CodeWeaver. Only needed if not using the default locations.",
"format": "filepath",
"name": "CODEWEAVER_CONFIG_FILE"
},
{
"description": "Enable debug mode for CodeWeaver.",
"format": "boolean",
"default": "false",
"choices": [
"true",
"false"
],
"name": "CODEWEAVER_DEBUG"
},
{
"description": "Specify the API key for the embedding provider, if required. Note: {', '.join([p for p in _providers_for_kind('embedding') if p.])}",
"format": "string",
"isSecret": true,
"choices": [
"cohere",
"azure",
"together",
"google",
"vercel",
"bedrock",
"heroku",
"groq",
"github",
"openai",
"ollama (cloud only)",
"mistral",
"hf_inference",
"fireworks",
"voyage"
],
"name": "CODEWEAVER_EMBEDDING_API_KEY"
},
{
"description": "Specify the embedding model to use.",
"format": "string",
"default": "voyage-code-3",
"name": "CODEWEAVER_EMBEDDING_MODEL"
},
{
"description": "Specify the embedding provider to use.",
"format": "string",
"default": "voyage",
"choices": [
"cohere",
"azure",
"together",
"google",
"sentence_transformers",
"vercel",
"bedrock",
"heroku",
"groq",
"github",
"openai",
"mistral",
"hf_inference",
"fireworks",
"ollama",
"fastembed",
"voyage"
],
"name": "CODEWEAVER_EMBEDDING_PROVIDER"
},
{
"description": "Set the server host for CodeWeaver.",
"format": "string",
"default": "localhost",
"name": "CODEWEAVER_HOST"
},
{
"description": "Set the log level for CodeWeaver (e.g., DEBUG, INFO, WARNING, ERROR).",
"format": "string",
"default": "WARNING",
"choices": [
"CRITICAL",
"INFO",
"DEBUG",
"ERROR",
"WARNING"
],
"name": "CODEWEAVER_LOG_LEVEL"
},
{
"description": "Set the MCP server port for CodeWeaver if using http transport for mcp. Not required if using the default port (9328), or stdio transport.",
"format": "number",
"default": "9328",
"name": "CODEWEAVER_MCP_PORT"
},
{
"description": "Set the port for the codeweaver management server (information and management endpoints).",
"format": "number",
"default": "9329",
"name": "CODEWEAVER_PORT"
},
{
"description": "Use a premade provider settings profile for CodeWeaver.",
"format": "string",
"choices": [
"testing",
"quickstart",
"recommended"
],
"name": "CODEWEAVER_PROFILE"
},
{
"description": "Set the project name for CodeWeaver.",
"format": "string",
"name": "CODEWEAVER_PROJECT_NAME"
},
{
"description": "Set the project path for CodeWeaver.",
"format": "filepath",
"name": "CODEWEAVER_PROJECT_PATH"
},
{
"description": "Specify the API key for the reranking provider, if required.",
"format": "string",
"isSecret": true,
"choices": [
"cohere",
"bedrock",
"voyage"
],
"name": "CODEWEAVER_RERANKING_API_KEY"
},
{
"description": "Specify the reranking model to use.",
"format": "string",
"default": "rerank-2.5",
"name": "CODEWEAVER_RERANKING_MODEL"
},
{
"description": "Specify the reranking provider to use.",
"format": "string",
"default": "voyage",
"choices": [
"cohere",
"sentence_transformers",
"bedrock",
"fastembed",
"voyage"
],
"name": "CODEWEAVER_RERANKING_PROVIDER"
},
{
"description": "Specify the sparse embedding model to use.",
"format": "string",
"default": "prithivida/Splade_pp_en_v1",
"name": "CODEWEAVER_SPARSE_EMBEDDING_MODEL"
},
{
"description": "Specify the sparse embedding provider to use.",
"format": "string",
"default": "fastembed",
"choices": [
"sentence_transformers",
"fastembed"
],
"name": "CODEWEAVER_SPARSE_EMBEDDING_PROVIDER"
},
{
"description": "Specify the API key for the vector store, if required.",
"format": "string",
"isSecret": true,
"choices": [
"qdrant (cloud only)",
"qdrant"
],
"name": "CODEWEAVER_VECTOR_STORE_API_KEY"
},
{
"description": "Specify the port for the vector store.",
"format": "string",
"default": "6333",
"name": "CODEWEAVER_VECTOR_STORE_PORT"
},
{
"description": "Specify the vector store provider to use.",
"format": "string",
"default": "qdrant",
"choices": [
"memory",
"qdrant"
],
"name": "CODEWEAVER_VECTOR_STORE_PROVIDER"
},
{
"description": "Specify the URL for the vector store.",
"format": "string",
"default": "http://localhost",
"name": "CODEWEAVER_VECTOR_STORE_URL"
},
{
"description": "Disable telemetry data collection.",
"format": "boolean",
"default": "false",
"choices": [
"true",
"false"
],
"name": "CODEWEAVER__TELEMETRY__DISABLE_TELEMETRY"
},
{
"description": "Opt-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.",
"format": "boolean",
"default": "false",
"choices": [
"true",
"false"
],
"name": "CODEWEAVER__TELEMETRY__TOOLS_OVER_PRIVACY"
},
{
"description": "HTTP proxy for requests (Used by: Azure, Azure, Voyage)",
"format": "string",
"name": "HTTPS_PROXY"
},
{
"description": "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)",
"format": "string",
"isSecret": true,
"name": "OPENAI_API_KEY"
},
{
"description": "One of: 'debug', 'info', 'warning', 'error' (Used by: Azure, Cerebras, Deepseek, Fireworks, Github, Groq, Heroku, Moonshot, Ollama, Openai, Openrouter, Perplexity, Together, Vercel, X Ai)",
"format": "string",
"choices": [
"error",
"warning",
"debug",
"info"
],
"name": "OPENAI_LOG"
},
{
"description": "Path to the SSL certificate file for requests (Used by: Azure, Azure, Voyage)",
"format": "string",
"name": "SSL_CERT_FILE"
},
{
"description": "API key for Vercel service",
"format": "string",
"isSecret": true,
"name": "AI_GATEWAY_API_KEY"
},
{
"description": "AWS Account ID for Bedrock service",
"format": "string",
"name": "AWS_ACCOUNT_ID"
},
{
"description": "AWS region for Bedrock service",
"format": "string",
"name": "AWS_REGION"
},
{
"description": "AWS Secret Access Key for Bedrock service",
"format": "string",
"isSecret": true,
"name": "AWS_SECRET_ACCESS_KEY"
},
{
"description": "API key for Azure Cohere service (cohere models on Azure)",
"format": "string",
"isSecret": true,
"name": "AZURE_COHERE_API_KEY"
},
{
"description": "Endpoint for Azure Cohere service (cohere models on Azure)",
"format": "string",
"name": "AZURE_COHERE_ENDPOINT"
},
{
"description": "Region for Azure Cohere service",
"format": "string",
"name": "AZURE_COHERE_REGION"
},
{
"description": "API key for Azure OpenAI service (OpenAI models on Azure)",
"format": "string",
"isSecret": true,
"name": "AZURE_OPENAI_API_KEY"
},
{
"description": "Endpoint for Azure OpenAI service (OpenAI models on Azure)",
"format": "string",
"name": "AZURE_OPENAI_ENDPOINT"
},
{
"description": "Region for Azure OpenAI service (OpenAI models on Azure)",
"format": "string",
"name": "AZURE_OPENAI_REGION"
},
{
"description": "Your Cohere API Key",
"format": "string",
"name": "COHERE_API_KEY"
},
{
"description": "Host URL for Cohere service",
"format": "string",
"name": "CO_API_URL"
},
{
"description": "API key for DeepSeek service",
"format": "string",
"isSecret": true,
"name": "DEEPSEEK_API_KEY"
},
{
"description": "Your Google Gemini API Key",
"format": "string",
"name": "GEMINI_API_KEY"
},
{
"description": "Your Google API Key",
"format": "string",
"name": "GOOGLE_API_KEY"
},
{
"description": "Log level for Hugging Face Hub client",
"format": "string",
"choices": [
"warning",
"debug",
"info",
"critical",
"error"
],
"name": "HF_HUB_VERBOSITY"
},
{
"description": "API key/token for Hugging Face service",
"format": "string",
"name": "HF_TOKEN"
},
{
"description": "HTTP proxy for requests",
"format": "string",
"name": "HTTPS_PROXY"
},
{
"description": "API key for Heroku service",
"format": "string",
"isSecret": true,
"name": "INFERENCE_KEY"
},
{
"description": "Host URL for Heroku service",
"format": "string",
"name": "INFERENCE_URL"
},
{
"description": "Your Mistral API Key",
"format": "string",
"name": "MISTRAL_API_KEY"
},
{
"description": "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.",
"format": "string",
"isSecret": true,
"name": "OPENAI_API_KEY"
},
{
"description": "One of: 'debug', 'info', 'warning', 'error'",
"format": "string",
"choices": [
"error",
"warning",
"debug",
"info"
],
"name": "OPENAI_LOG"
},
{
"description": "Log level for Qdrant service",
"format": "string",
"choices": [
"DEBUG",
"ERROR",
"INFO",
"WARNING"
],
"name": "QDRANT__LOG_LEVEL"
},
{
"description": "API key for Qdrant service",
"format": "string",
"isSecret": true,
"name": "QDRANT__SERVICE__API_KEY"
},
{
"description": "Enable TLS for Qdrant service, expects truthy or false value (e.g. 1 for on, 0 for off).",
"format": "boolean",
"choices": [
"true",
"false"
],
"name": "QDRANT__SERVICE__ENABLE_TLS"
},
{
"description": "Hostname of the Qdrant service; do not use for URLs with schemes (e.g. 'http://')",
"format": "string",
"name": "QDRANT__SERVICE__HOST"
},
{
"description": "Port number for the Qdrant service",
"format": "string",
"name": "QDRANT__SERVICE__HTTP_PORT"
},
{
"description": "Path 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.",
"format": "filepath",
"name": "QDRANT__TLS__CERT"
},
{
"description": "Path to the SSL certificate file for requests",
"format": "string",
"name": "SSL_CERT_FILE"
},
{
"description": "Your Tavily API Key",
"format": "string",
"name": "TAVILY_API_KEY"
},
{
"description": "API key for Together service",
"format": "string",
"isSecret": true,
"name": "TOGETHER_API_KEY"
},
{
"description": "OIDC token for Vercel service",
"format": "string",
"isSecret": true,
"name": "VERCEL_OIDC_TOKEN"
},
{
"description": "API key for Voyage service",
"format": "string",
"isSecret": true,
"name": "VOYAGE_API_KEY"
}
]
}
]
}
mcp
model-context-protocol
pypi
oci
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