codeweaver MCP Setup & Guide
com.knitli/codeweaver · v0.1.0-alpha.3
Semantic code search built for AI agents. Hybrid, AST-aware, context for 166 languages.
Copy the install config on this page first, then verify docs and permissions upstream.
Overview
Semantic code search built for AI agents. Hybrid, AST-aware, context for 166 languages. codeweaver is a MCP Server listed from MCP Registry. Transports: stdio. This page includes an overview, setup tutorial, install commands, and use cases for Trae, Tongyi Lingma, Cursor, Claude Code, and VS Code.
AgentHub Verified AvailabilityTested & Ready
Automated pipeline validated install commands, protocol & client compatibility
Copy by platform
Choose your platform
- Open or create .cursor/mcp.json in your project root
- Click Copy config and paste; merge only this mcpServers entry if others exist
- Replace <placeholders> in env with real secrets (see Environment variables below)
- Save, then Cmd+Shift+P → Reload Window
Pre-fill Environment Variables (Optional)
{
"mcpServers": {
"codeweaver": {
"command": "uvx",
"args": [
"code-weaver"
]
}
}
}Setup tutorial
- Open the codeweaver page and confirm this MCP Server (source: MCP Registry).
- Copy the Cursor, Claude Code, or VS Code snippet.
- Merge it into mcpServers and replace env placeholders with real secrets.
- Reload the window, then call the MCP tools from your agent chat.
Install commands
Install commands and setup steps are in the HTML so search engines and no-JS browsers can read them without running client JavaScript.
Claude Code (local)
- Install Claude Code CLI
- Copy the command below, replace <placeholders> with real env values, then run in terminal
- See Environment variables below if listed
claude mcp add codeweaver -- uvx code-weaverCursor — .cursor/mcp.json (local)
- Open or create .cursor/mcp.json in your project root
- Click Copy config and paste; merge only this mcpServers entry if others exist
- Replace <placeholders> in env with real secrets (see Environment variables below)
- Save, then Cmd+Shift+P → Reload Window
{
"mcpServers": {
"codeweaver": {
"command": "uvx",
"args": [
"code-weaver"
]
}
}
}VS Code — .vscode/mcp.json (local)
- Install GitHub Copilot in VS Code with MCP support
- Open or create .vscode/mcp.json in your project root
- Click Copy config and paste; merge only this mcpServers entry if others exist
- Replace <placeholders> in env with real secrets
- Save and Developer: Reload Window
{
"mcpServers": {
"codeweaver": {
"command": "uvx",
"args": [
"code-weaver"
]
}
}
}Claude Desktop — claude_desktop_config.json (local)
- Open Claude Desktop claude_desktop_config.json (see remote guide for paths)
- Click Copy config and merge under mcpServers
- Replace <placeholders> in env with real secrets
- Fully quit and restart Claude Desktop
{
"mcpServers": {
"codeweaver": {
"command": "uvx",
"args": [
"code-weaver"
]
}
}
}Trae — .trae/mcp.json (local)
- Trae → Settings → MCP, or edit .trae/mcp.json / global mcp.json
- Click Copy config and merge mcpServers
- Replace <placeholders> in env with real secrets
- Save and reload Trae
{
"mcpServers": {
"codeweaver": {
"command": "uvx",
"args": [
"code-weaver"
]
}
}
}Cherry Studio — MCP settings (local)
- Cherry Studio → Settings → MCP Servers → Add (STDIO)
- Or import JSON: click Copy config and merge mcpServers
- Replace <placeholders> in env; ensure Node.js / uv (npx, uvx) are installed
- Enable the server and check tools load
{
"mcpServers": {
"codeweaver": {
"command": "uvx",
"args": [
"code-weaver"
]
}
}
}Tongyi Lingma — MCP config (local)
- Lingma Settings → MCP → + → STDIO or config file
- Click Copy config and merge mcpServers
- Replace <placeholders> in env; need Node.js 18+ (npx) or uv (uvx)
- Confirm connected before using tools in agent chat
{
"mcpServers": {
"codeweaver": {
"command": "uvx",
"args": [
"code-weaver"
]
}
}
}Windsurf — mcp_config.json (local)
- Edit ~/.codeium/windsurf/mcp_config.json
- Click Copy config and merge mcpServers (stdio same as Cursor)
- Replace <placeholders> in env, save, refresh Cascade
{
"mcpServers": {
"codeweaver": {
"command": "uvx",
"args": [
"code-weaver"
]
}
}
}Cline — MCP Servers (local)
- Cline panel → Settings → MCP Servers
- Click Copy config and merge
- Replace <placeholders> in env, then save
{
"mcpServers": {
"codeweaver": {
"command": "uvx",
"args": [
"code-weaver"
]
}
}
}WorkBuddy — .workbuddy/mcp.json (local)
- Edit ~/.workbuddy/mcp.json (user) or project .workbuddy/mcp.json
- Or Plugins → MCP Servers → Configure MCP and paste the JSON below
- Replace <placeholders> in env; on Windows prefer absolute paths for command/scripts
- Save, restart WorkBuddy, confirm connector status is green
{
"mcpServers": {
"codeweaver": {
"command": "uvx",
"args": [
"code-weaver"
]
}
}
}Troubleshooting & Common ErrorsFAQ
Common connection errors and verified fixes for codeweaver
Getting 'connection closed' or exit code 1 in Cursor / Claude Code for codeweaver?
Usually caused by missing runtime paths or IDE environment inheritance. Fix steps: 1. Verify Node.js 18+ (npx) or Python 3.10+ (uvx) is installed; 2. Run 'which npx' or 'which uvx' in terminal, and replace 'command' with absolute path; 3. Reload or restart the client window after modifying config.
# Check binary path in terminal: which npx node -v
Getting 'spawn npx ENOENT' or 'command not found'?
The editor background process does not inherit your full terminal PATH. Solution: Globally install the package, or set the absolute binary path (e.g. C:\Program Files\nodejs\npx.cmd on Windows, or /usr/local/bin/npx on macOS).
Missing required environment variable or authentication failure?
codeweaver requires environment variables (CODEWEAVER_CONFIG_FILE、CODEWEAVER_DEBUG、CODEWEAVER_EMBEDDING_API_KEY、CODEWEAVER_EMBEDDING_MODEL、CODEWEAVER_EMBEDDING_PROVIDER、CODEWEAVER_HOST、CODEWEAVER_LOG_LEVEL、CODEWEAVER_MCP_PORT、CODEWEAVER_PORT、CODEWEAVER_PROFILE、CODEWEAVER_PROJECT_NAME、CODEWEAVER_PROJECT_PATH、CODEWEAVER_RERANKING_API_KEY、CODEWEAVER_RERANKING_MODEL、CODEWEAVER_RERANKING_PROVIDER、CODEWEAVER_SPARSE_EMBEDDING_MODEL、CODEWEAVER_SPARSE_EMBEDDING_PROVIDER、CODEWEAVER_VECTOR_STORE_API_KEY、CODEWEAVER_VECTOR_STORE_PORT、CODEWEAVER_VECTOR_STORE_PROVIDER、CODEWEAVER_VECTOR_STORE_URL、CODEWEAVER__TELEMETRY__DISABLE_TELEMETRY、CODEWEAVER__TELEMETRY__TOOLS_OVER_PRIVACY、HTTPS_PROXY、OPENAI_API_KEY、OPENAI_LOG、SSL_CERT_FILE、AI_GATEWAY_API_KEY、AWS_ACCOUNT_ID、AWS_REGION、AWS_SECRET_ACCESS_KEY、AZURE_COHERE_API_KEY、AZURE_COHERE_ENDPOINT、AZURE_COHERE_REGION、AZURE_OPENAI_API_KEY、AZURE_OPENAI_ENDPOINT、AZURE_OPENAI_REGION、COHERE_API_KEY、CO_API_URL、DEEPSEEK_API_KEY、GEMINI_API_KEY、GOOGLE_API_KEY、HF_HUB_VERBOSITY、HF_TOKEN、HTTPS_PROXY、INFERENCE_KEY、INFERENCE_URL、MISTRAL_API_KEY、OPENAI_API_KEY、OPENAI_LOG、QDRANT__LOG_LEVEL、QDRANT__SERVICE__API_KEY、QDRANT__SERVICE__ENABLE_TLS、QDRANT__SERVICE__HOST、QDRANT__SERVICE__HTTP_PORT、QDRANT__TLS__CERT、SSL_CERT_FILE、TAVILY_API_KEY、TOGETHER_API_KEY、VERCEL_OIDC_TOKEN、VOYAGE_API_KEY、CODEWEAVER_CONFIG_FILE、CODEWEAVER_DEBUG、CODEWEAVER_EMBEDDING_API_KEY、CODEWEAVER_EMBEDDING_MODEL、CODEWEAVER_EMBEDDING_PROVIDER、CODEWEAVER_HOST、CODEWEAVER_LOG_LEVEL、CODEWEAVER_MCP_PORT、CODEWEAVER_PORT、CODEWEAVER_PROFILE、CODEWEAVER_PROJECT_NAME、CODEWEAVER_PROJECT_PATH、CODEWEAVER_RERANKING_API_KEY、CODEWEAVER_RERANKING_MODEL、CODEWEAVER_RERANKING_PROVIDER、CODEWEAVER_SPARSE_EMBEDDING_MODEL、CODEWEAVER_SPARSE_EMBEDDING_PROVIDER、CODEWEAVER_VECTOR_STORE_API_KEY、CODEWEAVER_VECTOR_STORE_PORT、CODEWEAVER_VECTOR_STORE_PROVIDER、CODEWEAVER_VECTOR_STORE_URL、CODEWEAVER__TELEMETRY__DISABLE_TELEMETRY、CODEWEAVER__TELEMETRY__TOOLS_OVER_PRIVACY、HTTPS_PROXY、OPENAI_API_KEY、OPENAI_LOG、SSL_CERT_FILE、AI_GATEWAY_API_KEY、AWS_ACCOUNT_ID、AWS_REGION、AWS_SECRET_ACCESS_KEY、AZURE_COHERE_API_KEY、AZURE_COHERE_ENDPOINT、AZURE_COHERE_REGION、AZURE_OPENAI_API_KEY、AZURE_OPENAI_ENDPOINT、AZURE_OPENAI_REGION、COHERE_API_KEY、CO_API_URL、DEEPSEEK_API_KEY、GEMINI_API_KEY、GOOGLE_API_KEY、HF_HUB_VERBOSITY、HF_TOKEN、HTTPS_PROXY、INFERENCE_KEY、INFERENCE_URL、MISTRAL_API_KEY、OPENAI_API_KEY、OPENAI_LOG、QDRANT__LOG_LEVEL、QDRANT__SERVICE__API_KEY、QDRANT__SERVICE__ENABLE_TLS、QDRANT__SERVICE__HOST、QDRANT__SERVICE__HTTP_PORT、QDRANT__TLS__CERT、SSL_CERT_FILE、TAVILY_API_KEY、TOGETHER_API_KEY、VERCEL_OIDC_TOKEN、VOYAGE_API_KEY). Ensure you have added valid keys under the 'env' object in your config file without trailing whitespace.
// .cursor/mcp.json 或 claude_desktop_config.json
{
"env": {
"API_KEY": "your_actual_key_here"
}
}Tool Mock Playground
Sandboxcodeweaver Tool Interface Simulation · Preview tool schema & outputs without local runtime
{
"target": "codeweaver",
"action": "execute",
"options": {
"mode": "standard",
"timeoutMs": 5000
}
}Click 'Run Mock' above
to preview the raw response returned to the LLM
Decision Guide: Why & When to Use
Assess suitability before installing to save trial-and-error time
- When your AI Agent needs tool calling capabilities in this domain
- Automating repetitive workflows in your IDE or terminal
- Pairing with modern clients supporting MCP/Skill standards
- When missing required API secrets or local runtime prerequisites
- Pure conversational requests that don't need external system access
codeweaver + Scenario Prompt → Complete Agent Automation
MCP hands-on: install to visible results
Follow the full lab (expected UI/output + contrast checks). After installing this item, verify with the tutorial prompts.
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Keep exploring AgentHub
Most people compare similar tools or check scenario guides before installing—start here.
Listing badge: put AgentHub on your site
Copy either snippet into your project homepage, docs, or GitHub README. The badge is a hotlinked SVG — nothing to host — and it links back to this page so visitors can find the install steps.
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Unified Manifest
{
"id": "com.knitli/codeweaver",
"type": "mcp-server",
"version": "0.1.0-alpha.3",
"displayName": "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",
"subfolder": "src/codeweaver"
},
"homepage": "https://github.com/knitli/codeweaver",
"distribution": {
"packages": [
{
"registryType": "pypi",
"identifier": "code-weaver",
"version": "0.1.0a3",
"runtimeHint": "uvx",
"transport": "stdio",
"environmentVariables": [
{
"name": "CODEWEAVER_CONFIG_FILE",
"description": "Specify a custom config file path for CodeWeaver. Only needed if not using the default locations."
},
{
"name": "CODEWEAVER_DEBUG",
"description": "Enable debug mode for CodeWeaver."
},
{
"name": "CODEWEAVER_EMBEDDING_API_KEY",
"description": "Specify the API key for the embedding provider, if required. Note: {', '.join([p for p in _providers_for_kind('embedding') if p.])}",
"isSecret": true
},
{
"name": "CODEWEAVER_EMBEDDING_MODEL",
"description": "Specify the embedding model to use."
},
{
"name": "CODEWEAVER_EMBEDDING_PROVIDER",
"description": "Specify the embedding provider to use."
},
{
"name": "CODEWEAVER_HOST",
"description": "Set the server host for CodeWeaver."
},
{
"name": "CODEWEAVER_LOG_LEVEL",
"description": "Set the log level for CodeWeaver (e.g., DEBUG, INFO, WARNING, ERROR)."
},
{
"name": "CODEWEAVER_MCP_PORT",
"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."
},
{
"name": "CODEWEAVER_PORT",
"description": "Set the port for the codeweaver management server (information and management endpoints)."
},
{
"name": "CODEWEAVER_PROFILE",
"description": "Use a premade provider settings profile for CodeWeaver."
},
{
"name": "CODEWEAVER_PROJECT_NAME",
"description": "Set the project name for CodeWeaver."
},
{
"name": "CODEWEAVER_PROJECT_PATH",
"description": "Set the project path for CodeWeaver."
},
{
"name": "CODEWEAVER_RERANKING_API_KEY",
"description": "Specify the API key for the reranking provider, if required.",
"isSecret": true
},
{
"name": "CODEWEAVER_RERANKING_MODEL",
"description": "Specify the reranking model to use."
},
{
"name": "CODEWEAVER_RERANKING_PROVIDER",
"description": "Specify the reranking provider to use."
},
{
"name": "CODEWEAVER_SPARSE_EMBEDDING_MODEL",
"description": "Specify the sparse embedding model to use."
},
{
"name": "CODEWEAVER_SPARSE_EMBEDDING_PROVIDER",
"description": "Specify the sparse embedding provider to use."
},
{
"name": "CODEWEAVER_VECTOR_STORE_API_KEY",
"description": "Specify the API key for the vector store, if required.",
"isSecret": true
},
{
"name": "CODEWEAVER_VECTOR_STORE_PORT",
"description": "Specify the port for the vector store."
},
{
"name": "CODEWEAVER_VECTOR_STORE_PROVIDER",
"description": "Specify the vector store provider to use."
},
{
"name": "CODEWEAVER_VECTOR_STORE_URL",
"description": "Specify the URL for the vector store."
},
{
"name": "CODEWEAVER__TELEMETRY__DISABLE_TELEMETRY",
"description": "Disable telemetry data collection."
},
{
"name": "CODEWEAVER__TELEMETRY__TOOLS_OVER_PRIVACY",
"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."
},
{
"name": "HTTPS_PROXY",
"description": "HTTP proxy for requests (Used by: Azure, Azure, Voyage)"
},
{
"name": "OPENAI_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. (Used by: Azure, Cerebras, Deepseek, Fireworks, Github, Groq, Heroku, Moonshot, Ollama, Openai, Openrouter, Perplexity, Together, Vercel, X Ai)",
"isSecret": true
},
{
"name": "OPENAI_LOG",
"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)"
},
{
"name": "SSL_CERT_FILE",
"description": "Path to the SSL certificate file for requests (Used by: Azure, Azure, Voyage)"
},
{
"name": "AI_GATEWAY_API_KEY",
"description": "API key for Vercel service",
"isSecret": true
},
{
"name": "AWS_ACCOUNT_ID",
"description": "AWS Account ID for Bedrock service"
},
{
"name": "AWS_REGION",
"description": "AWS region for Bedrock service"
},
{
"name": "AWS_SECRET_ACCESS_KEY",
"description": "AWS Secret Access Key for Bedrock service",
"isSecret": true
},
{
"name": "AZURE_COHERE_API_KEY",
"description": "API key for Azure Cohere service (cohere models on Azure)",
"isSecret": true
},
{
"name": "AZURE_COHERE_ENDPOINT",
"description": "Endpoint for Azure Cohere service (cohere models on Azure)"
},
{
"name": "AZURE_COHERE_REGION",
"description": "Region for Azure Cohere service"
},
{
"name": "AZURE_OPENAI_API_KEY",
"description": "API key for Azure OpenAI service (OpenAI models on Azure)",
"isSecret": true
},
{
"name": "AZURE_OPENAI_ENDPOINT",
"description": "Endpoint for Azure OpenAI service (OpenAI models on Azure)"
},
{
"name": "AZURE_OPENAI_REGION",
"description": "Region for Azure OpenAI service (OpenAI models on Azure)"
},
{
"name": "COHERE_API_KEY",
"description": "Your Cohere API Key"
},
{
"name": "CO_API_URL",
"description": "Host URL for Cohere service"
},
{
"name": "DEEPSEEK_API_KEY",
"description": "API key for DeepSeek service",
"isSecret": true
},
{
"name": "GEMINI_API_KEY",
"description": "Your Google Gemini API Key"
},
{
"name": "GOOGLE_API_KEY",
"description": "Your Google API Key"
},
{
"name": "HF_HUB_VERBOSITY",
"description": "Log level for Hugging Face Hub client"
},
{
"name": "HF_TOKEN",
"description": "API key/token for Hugging Face service"
},
{
"name": "HTTPS_PROXY",
"description": "HTTP proxy for requests"
},
{
"name": "INFERENCE_KEY",
"description": "API key for Heroku service",
"isSecret": true
},
{
"name": "INFERENCE_URL",
"description": "Host URL for Heroku service"
},
{
"name": "MISTRAL_API_KEY",
"description": "Your Mistral API Key"
},
{
"name": "OPENAI_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.",
"isSecret": true
},
{
"name": "OPENAI_LOG",
"description": "One of: 'debug', 'info', 'warning', 'error'"
},
{
"name": "QDRANT__LOG_LEVEL",
"description": "Log level for Qdrant service"
},
{
"name": "QDRANT__SERVICE__API_KEY",
"description": "API key for Qdrant service",
"isSecret": true
},
{
"name": "QDRANT__SERVICE__ENABLE_TLS",
"description": "Enable TLS for Qdrant service, expects truthy or false value (e.g. 1 for on, 0 for off)."
},
{
"name": "QDRANT__SERVICE__HOST",
"description": "Hostname of the Qdrant service; do not use for URLs with schemes (e.g. 'http://')"
},
{
"name": "QDRANT__SERVICE__HTTP_PORT",
"description": "Port number for the Qdrant service"
},
{
"name": "QDRANT__TLS__CERT",
"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."
},
{
"name": "SSL_CERT_FILE",
"description": "Path to the SSL certificate file for requests"
},
{
"name": "TAVILY_API_KEY",
"description": "Your Tavily API Key"
},
{
"name": "TOGETHER_API_KEY",
"description": "API key for Together service",
"isSecret": true
},
{
"name": "VERCEL_OIDC_TOKEN",
"description": "OIDC token for Vercel service",
"isSecret": true
},
{
"name": "VOYAGE_API_KEY",
"description": "API key for Voyage service",
"isSecret": true
}
]
},
{
"registryType": "oci",
"identifier": "docker.io/knitli/codeweaver:0.1.0-alpha.3",
"runtimeHint": "docker",
"transport": "stdio",
"environmentVariables": [
{
"name": "CODEWEAVER_CONFIG_FILE",
"description": "Specify a custom config file path for CodeWeaver. Only needed if not using the default locations."
},
{
"name": "CODEWEAVER_DEBUG",
"description": "Enable debug mode for CodeWeaver."
},
{
"name": "CODEWEAVER_EMBEDDING_API_KEY",
"description": "Specify the API key for the embedding provider, if required. Note: {', '.join([p for p in _providers_for_kind('embedding') if p.])}",
"isSecret": true
},
{
"name": "CODEWEAVER_EMBEDDING_MODEL",
"description": "Specify the embedding model to use."
},
{
"name": "CODEWEAVER_EMBEDDING_PROVIDER",
"description": "Specify the embedding provider to use."
},
{
"name": "CODEWEAVER_HOST",
"description": "Set the server host for CodeWeaver."
},
{
"name": "CODEWEAVER_LOG_LEVEL",
"description": "Set the log level for CodeWeaver (e.g., DEBUG, INFO, WARNING, ERROR)."
},
{
"name": "CODEWEAVER_MCP_PORT",
"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."
},
{
"name": "CODEWEAVER_PORT",
"description": "Set the port for the codeweaver management server (information and management endpoints)."
},
{
"name": "CODEWEAVER_PROFILE",
"description": "Use a premade provider settings profile for CodeWeaver."
},
{
"name": "CODEWEAVER_PROJECT_NAME",
"description": "Set the project name for CodeWeaver."
},
{
"name": "CODEWEAVER_PROJECT_PATH",
"description": "Set the project path for CodeWeaver."
},
{
"name": "CODEWEAVER_RERANKING_API_KEY",
"description": "Specify the API key for the reranking provider, if required.",
"isSecret": true
},
{
"name": "CODEWEAVER_RERANKING_MODEL",
"description": "Specify the reranking model to use."
},
{
"name": "CODEWEAVER_RERANKING_PROVIDER",
"description": "Specify the reranking provider to use."
},
{
"name": "CODEWEAVER_SPARSE_EMBEDDING_MODEL",
"description": "Specify the sparse embedding model to use."
},
{
"name": "CODEWEAVER_SPARSE_EMBEDDING_PROVIDER",
"description": "Specify the sparse embedding provider to use."
},
{
"name": "CODEWEAVER_VECTOR_STORE_API_KEY",
"description": "Specify the API key for the vector store, if required.",
"isSecret": true
},
{
"name": "CODEWEAVER_VECTOR_STORE_PORT",
"description": "Specify the port for the vector store."
},
{
"name": "CODEWEAVER_VECTOR_STORE_PROVIDER",
"description": "Specify the vector store provider to use."
},
{
"name": "CODEWEAVER_VECTOR_STORE_URL",
"description": "Specify the URL for the vector store."
},
{
"name": "CODEWEAVER__TELEMETRY__DISABLE_TELEMETRY",
"description": "Disable telemetry data collection."
},
{
"name": "CODEWEAVER__TELEMETRY__TOOLS_OVER_PRIVACY",
"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."
},
{
"name": "HTTPS_PROXY",
"description": "HTTP proxy for requests (Used by: Azure, Azure, Voyage)"
},
{
"name": "OPENAI_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. (Used by: Azure, Cerebras, Deepseek, Fireworks, Github, Groq, Heroku, Moonshot, Ollama, Openai, Openrouter, Perplexity, Together, Vercel, X Ai)",
"isSecret": true
},
{
"name": "OPENAI_LOG",
"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)"
},
{
"name": "SSL_CERT_FILE",
"description": "Path to the SSL certificate file for requests (Used by: Azure, Azure, Voyage)"
},
{
"name": "AI_GATEWAY_API_KEY",
"description": "API key for Vercel service",
"isSecret": true
},
{
"name": "AWS_ACCOUNT_ID",
"description": "AWS Account ID for Bedrock service"
},
{
"name": "AWS_REGION",
"description": "AWS region for Bedrock service"
},
{
"name": "AWS_SECRET_ACCESS_KEY",
"description": "AWS Secret Access Key for Bedrock service",
"isSecret": true
},
{
"name": "AZURE_COHERE_API_KEY",
"description": "API key for Azure Cohere service (cohere models on Azure)",
"isSecret": true
},
{
"name": "AZURE_COHERE_ENDPOINT",
"description": "Endpoint for Azure Cohere service (cohere models on Azure)"
},
{
"name": "AZURE_COHERE_REGION",
"description": "Region for Azure Cohere service"
},
{
"name": "AZURE_OPENAI_API_KEY",
"description": "API key for Azure OpenAI service (OpenAI models on Azure)",
"isSecret": true
},
{
"name": "AZURE_OPENAI_ENDPOINT",
"description": "Endpoint for Azure OpenAI service (OpenAI models on Azure)"
},
{
"name": "AZURE_OPENAI_REGION",
"description": "Region for Azure OpenAI service (OpenAI models on Azure)"
},
{
"name": "COHERE_API_KEY",
"description": "Your Cohere API Key"
},
{
"name": "CO_API_URL",
"description": "Host URL for Cohere service"
},
{
"name": "DEEPSEEK_API_KEY",
"description": "API key for DeepSeek service",
"isSecret": true
},
{
"name": "GEMINI_API_KEY",
"description": "Your Google Gemini API Key"
},
{
"name": "GOOGLE_API_KEY",
"description": "Your Google API Key"
},
{
"name": "HF_HUB_VERBOSITY",
"description": "Log level for Hugging Face Hub client"
},
{
"name": "HF_TOKEN",
"description": "API key/token for Hugging Face service"
},
{
"name": "HTTPS_PROXY",
"description": "HTTP proxy for requests"
},
{
"name": "INFERENCE_KEY",
"description": "API key for Heroku service",
"isSecret": true
},
{
"name": "INFERENCE_URL",
"description": "Host URL for Heroku service"
},
{
"name": "MISTRAL_API_KEY",
"description": "Your Mistral API Key"
},
{
"name": "OPENAI_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.",
"isSecret": true
},
{
"name": "OPENAI_LOG",
"description": "One of: 'debug', 'info', 'warning', 'error'"
},
{
"name": "QDRANT__LOG_LEVEL",
"description": "Log level for Qdrant service"
},
{
"name": "QDRANT__SERVICE__API_KEY",
"description": "API key for Qdrant service",
"isSecret": true
},
{
"name": "QDRANT__SERVICE__ENABLE_TLS",
"description": "Enable TLS for Qdrant service, expects truthy or false value (e.g. 1 for on, 0 for off)."
},
{
"name": "QDRANT__SERVICE__HOST",
"description": "Hostname of the Qdrant service; do not use for URLs with schemes (e.g. 'http://')"
},
{
"name": "QDRANT__SERVICE__HTTP_PORT",
"description": "Port number for the Qdrant service"
},
{
"name": "QDRANT__TLS__CERT",
"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."
},
{
"name": "SSL_CERT_FILE",
"description": "Path to the SSL certificate file for requests"
},
{
"name": "TAVILY_API_KEY",
"description": "Your Tavily API Key"
},
{
"name": "TOGETHER_API_KEY",
"description": "API key for Together service",
"isSecret": true
},
{
"name": "VERCEL_OIDC_TOKEN",
"description": "OIDC token for Vercel service",
"isSecret": true
},
{
"name": "VOYAGE_API_KEY",
"description": "API key for Voyage service",
"isSecret": true
}
]
}
],
"remotes": []
},
"dependencies": [],
"installTargets": [
"claude-code",
"claude-desktop",
"cursor",
"vscode",
"trae",
"cherry-studio",
"lingma",
"windsurf",
"cline",
"workbuddy"
],
"keywords": [],
"provenance": {
"origin": "official-mcp-registry",
"originalId": "com.knitli/codeweaver",
"originalUrl": "https://registry.modelcontextprotocol.io/v0.1/servers/com.knitli%2Fcodeweaver/versions/latest",
"isOfficial": true,
"status": "active"
}
}