Kagi
MCP ServerFree** - Kagi search API integration
Capabilities5 decomposed
mcp-native kagi search api integration
Medium confidenceExposes Kagi's search API as a Model Context Protocol (MCP) server, enabling LLM agents and Claude instances to invoke Kagi searches through standardized MCP tool bindings. The integration translates HTTP REST calls to the Kagi API into MCP-compliant tool schemas, allowing seamless integration with MCP-compatible clients without custom API handling code.
Implements Kagi search as a first-class MCP tool rather than a generic HTTP wrapper, providing native schema binding that allows Claude and other MCP clients to invoke Kagi searches with full type safety and standardized tool calling conventions
Simpler integration path than building custom Kagi API clients for each agent framework; uses MCP's standardized tool protocol instead of framework-specific search plugins
search result streaming and pagination
Medium confidenceHandles pagination and result streaming from Kagi API responses through MCP tool invocations, allowing agents to retrieve large result sets incrementally without loading entire result pages into memory. Implements offset-based pagination parameters that map directly to Kagi API query parameters, enabling agents to control result batching and iteration.
Exposes Kagi's native pagination parameters (limit, offset) as MCP tool arguments, allowing agents to control result batching directly without wrapper abstractions, enabling precise token budget management in multi-step reasoning
More transparent pagination control than search wrappers that hide pagination details; agents can explicitly manage result volume vs latency tradeoffs
multi-search-type routing
Medium confidenceRoutes search queries to different Kagi search endpoints (web search, news, discussions, etc.) based on query context or explicit agent directives. The MCP tool schema exposes search type as a parameter, allowing agents to select the most appropriate search backend for different query intents without requiring separate tool definitions.
Exposes Kagi's multiple search endpoints (web, news, discussions) as a single parameterized MCP tool rather than separate tools, reducing tool registry complexity while maintaining explicit control over search type selection
Single unified search tool with type parameter is simpler than maintaining separate MCP tools per search type; allows agents to dynamically select search backend without tool definition changes
kagi api credential management via mcp environment
Medium confidenceManages Kagi API authentication through MCP server environment variables or configuration files, abstracting credential handling from client code. The MCP server reads Kagi API keys from environment configuration at startup and includes them in all outbound API requests, ensuring credentials are never exposed to client-side code or agent prompts.
Implements credential management at the MCP server boundary, ensuring Kagi API keys never reach client-side code or LLM context, providing a security isolation layer typical of server-side API integrations
More secure than passing API keys to client-side agents; credentials remain server-side and are never exposed in prompts or logs
error handling and api failure recovery
Medium confidenceImplements error handling for Kagi API failures (rate limits, timeouts, invalid queries) and translates them into MCP-compatible error responses that agents can interpret and act upon. The server catches HTTP errors, network timeouts, and malformed responses from Kagi and returns structured error objects with retry hints and failure reasons.
Translates Kagi API errors into MCP-compatible error schemas, allowing agents to programmatically distinguish between rate limits, timeouts, and invalid queries without parsing HTTP status codes directly
Structured error responses are more actionable for agents than raw HTTP errors; enables sophisticated retry strategies and failure logging
Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.
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mcp-searxng
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** - Search the web using Kagi's search API
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Best For
- ✓AI builders creating MCP-compatible agents that need web search capabilities
- ✓Teams deploying Claude instances with custom search backends
- ✓Developers building privacy-focused LLM applications using Kagi
- ✓Agents processing large search result sets across multiple reasoning steps
- ✓Memory-constrained environments where loading full result pages is infeasible
- ✓Applications requiring fine-grained control over result volume and token budgets
- ✓Multi-intent agents that need to adapt search strategy based on query type
- ✓Applications combining news, web, and discussion search in a single workflow
Known Limitations
- ⚠Requires valid Kagi API key; free tier may have rate limits affecting agent throughput
- ⚠MCP server must be running as a separate process; adds network latency vs in-process search
- ⚠No built-in result caching or deduplication across multiple agent invocations
- ⚠Search result formatting depends on Kagi API response structure; limited customization of returned fields
- ⚠Pagination state must be managed by the calling agent; no built-in cursor or session management
- ⚠Kagi API rate limits apply per request; pagination doesn't reduce total API calls
Requirements
Input / Output
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** - Kagi search API integration
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