com.knitli/codeweaver✓
com.knitli/codeweaver · v0.1.0-alpha.3
{}server.json
The full server descriptor as registered with IndusMCP.
{
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-10-17/server.schema.json",
"name": "com.knitli/codeweaver",
"description": "Semantic code search built for AI agents. Hybrid, AST-aware, context for 166 languages.",
"repository": {
"url": "https://github.com/knitli/codeweaver",
"source": "github",
"id": "1024985391",
"subfolder": "src/codeweaver"
},
"version": "0.1.0-alpha.3",
"websiteUrl": "https://github.com/knitli/codeweaver",
"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"
}
]
}
],
"_meta": {
"io.modelcontextprotocol.registry/publisher-provided": {
"all_supported_languages": [
"asciidoc",
"assembly",
"assemblyscript",
"astro",
"bash (AST support)",
"batch",
"beef",
"c lang (AST support)",
"c plus plus (AST support)",
"c sharp (AST support)",
"carbon",
"chapel",
"clojure",
"cmake",
"cobol",
"coffeescript",
"confluence",
"coq",
"creole",
"crystal",
"css (AST support)",
"csv",
"cuda",
"cue",
"cython",
"dart",
"data",
"dbf",
"devicetree",
"dhall",
"dita",
"dlang",
"docbook",
"docker",
"duck",
"dyck",
"ecl",
"eiffel",
"elixir (AST support)",
"elm",
"elvish",
"emacs",
"erlang",
"eta",
"excel",
"factor",
"fortran",
"frege",
"fsharp",
"gleam",
"go (AST support)",
"gosu",
"graphql",
"groovy",
"hack",
"haskell (AST support)",
"hcl (AST support)",
"help",
"hjson",
"hlsl",
"html (AST support)",
"idris",
"imba",
"info",
"ini",
"io",
"janet",
"java (AST support)",
"javascript (AST support)",
"jelly",
"jinja",
"json (AST support)",
"jsx (AST support)",
"jule",
"julia",
"jupyter",
"just",
"kotlin (AST support)",
"lagda",
"latex",
"less",
"lhs",
"lisp",
"livescript",
"lua (AST support)",
"lucee",
"make",
"man",
"markdown",
"matlab",
"mediawiki",
"mojo",
"move",
"newick",
"nimble",
"nix (AST support)",
"nushell",
"nw",
"objective-c",
"ocaml",
"odin",
"org",
"pascal",
"perl",
"pharo",
"php (AST support)",
"pkl",
"pod",
"pony",
"powershell",
"properties",
"protobuf",
"purescript",
"python (AST support)",
"qb64",
"qml",
"r",
"racket",
"rake",
"raku",
"rakudo",
"reason",
"red",
"rescript",
"restructuredtext",
"ring",
"rmarkdown",
"rmd",
"rnw",
"rtf",
"ruby (AST support)",
"rust (AST support)",
"sas",
"sass",
"scala (AST support)",
"scheme",
"scss",
"self",
"smali",
"sml",
"solidity (AST support)",
"sql",
"svelte",
"swift (AST support)",
"texinfo",
"text",
"textile",
"toml",
"tsv",
"tsx (AST support)",
"typescript (AST support)",
"vala",
"vale",
"vbscript",
"verilog",
"vhdl",
"visualbasic6",
"vlang",
"vue",
"wiki",
"xml",
"xonsh",
"yaml (AST support)",
"yard",
"zig",
"zsh"
],
"build_info": {
"framework": "fastmcp",
"package_manager": "uv",
"python_version": ">=3.12"
},
"capabilities": {
"chunking_strategies": [
"semantic",
"semantically-aware-delimiters"
],
"embedding_providers": [
"Github",
"Azure",
"Fireworks",
"Mistral",
"Vercel",
"Groq",
"Ollama",
"Hf Inference",
"Fastembed",
"Bedrock",
"Openai",
"Sentence Transformers",
"Together",
"Voyage",
"Heroku",
"Cohere",
"Google"
],
"languages_supported": 166,
"reranking_providers": [
"Fastembed",
"Bedrock",
"Sentence Transformers",
"Voyage",
"Cohere"
],
"search_types": [
"semantic",
"hybrid",
"traditional"
],
"sparse_embedding_providers": [
"Fastembed",
"Sentence Transformers"
],
"vector_store_providers": [
"Qdrant",
"Memory"
]
},
"tags": [
"agent-tools",
"ast-parsing",
"code-search",
"code-understanding",
"developer-tools",
"embeddings",
"hybrid-search",
"multi-language",
"natural-language-processing",
"reranking",
"semantic-search",
"sparse-embeddings",
"vector-database"
]
},
"dev.indusmcp/source": "official-registry-mirror",
"dev.indusmcp/synced": "2026-05-12"
}
}