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server for Cognio semantic memory","maintainers":[{"name":"0xrelogic","email":"maedeeaew@gmail.com"}],"readme":"# Cognio MCP Server\n\nMCP (Model Context Protocol) server wrapper for Cognio semantic memory.\n\n## Quick Setup\n\nRun the auto-setup script to configure all supported AI clients:\n\n```bash\nnpm run setup\n```\n\nThis automatically generates MCP configurations for:\n- Claude Desktop\n- Claude Code (CLI)\n- Cursor\n- Continue.dev\n- Cline\n- Windsurf\n- Kiro\n- VS Code (GitHub Copilot)\n- Gemini CLI\n\n## Manual Configuration\n\nIf you prefer to configure manually, add Cognio to your client's MCP config:\n\n### VS Code (GitHub Copilot)\n\nAdd to `.vscode/mcp.json`:\n```json\n{\n  \"servers\": {\n    \"cognio\": {\n      \"command\": \"npx\",\n      \"args\": [\"-y\", \"@0xrelogic/cognio-mcp\"],\n      \"env\": {\n        \"COGNIO_API_URL\": \"http://localhost:8080\",\n        \"COGNIO_API_KEY\": \"your-optional-api-key-here\"\n      }\n    }\n  }\n}\n```\n\n### Claude Desktop\n\nAdd to `~/Library/Application Support/Claude/claude_desktop_config.json` (Mac) or `%APPDATA%/Claude/claude_desktop_config.json` (Windows):\n```json\n{\n  \"mcpServers\": {\n    \"cognio\": {\n      \"command\": \"npx\",\n      \"args\": [\"-y\", \"@0xrelogic/cognio-mcp\"],\n      \"env\": {\n        \"COGNIO_API_URL\": \"http://localhost:8080\"\n      }\n    }\n  }\n}\n```\n\n### Cursor\n\nAdd to `~/.cursor/mcp_settings.json`:\n```json\n{\n  \"mcpServers\": {\n    \"cognio\": {\n      \"command\": \"npx\",\n      \"args\": [\"-y\", \"@0xrelogic/cognio-mcp\"],\n      \"env\": {\n        \"COGNIO_API_URL\": \"http://localhost:8080\"\n      }\n    }\n  }\n}\n```\n\n### Continue.dev\n\nAdd to `~/.continue/config.json`:\n```json\n{\n  \"mcp\": [\n    {\n      \"name\": \"cognio\",\n      \"command\": \"npx\",\n      \"args\": [\"-y\", \"@0xrelogic/cognio-mcp\"],\n      \"env\": {\n        \"COGNIO_API_URL\": \"http://localhost:8080\"\n      }\n    }\n  ]\n}\n```\n\n### Cline\n\nAdd to `~/.cline/mcp.json`:\n```json\n{\n  \"mcpServers\": {\n    \"cognio\": {\n      \"command\": \"npx\",\n      \"args\": [\"-y\", \"@0xrelogic/cognio-mcp\"],\n      \"env\": {\n        \"COGNIO_API_URL\": \"http://localhost:8080\"\n      }\n    }\n  }\n}\n```\n\n### Windsurf\n\nAdd to `~/.windsurf/mcp_config.json`:\n```json\n{\n  \"mcpServers\": {\n    \"cognio\": {\n      \"command\": \"npx\",\n      \"args\": [\"-y\", \"@0xrelogic/cognio-mcp\"],\n      \"env\": {\n        \"COGNIO_API_URL\": \"http://localhost:8080\"\n      }\n    }\n  }\n}\n```\n\n### Kiro\n\nAdd to `~/.kiro/settings/mcp.json`:\n```json\n{\n  \"mcpServers\": {\n    \"cognio\": {\n      \"command\": \"npx\",\n      \"args\": [\"-y\", \"@0xrelogic/cognio-mcp\"],\n      \"env\": {\n        \"COGNIO_API_URL\": \"http://localhost:8080\"\n      }\n    }\n  }\n}\n```\n\n### Gemini CLI\n\nAdd to `~/gemini/mcp.json`:\n```json\n{\n  \"mcpServers\": {\n    \"cognio\": {\n      \"command\": \"npx\",\n      \"args\": [\"-y\", \"@0xrelogic/cognio-mcp\"],\n      \"env\": {\n        \"COGNIO_API_URL\": \"http://localhost:8080\"\n      }\n    }\n  }\n}\n```\n\n### Claude Code (CLI)\n\nAdd to `~/.claude.json`:\n```json\n{\n  \"mcpServers\": {\n    \"cognio\": {\n      \"type\": \"stdio\",\n      \"command\": \"npx\",\n      \"args\": [\"-y\", \"@0xrelogic/cognio-mcp\"],\n      \"env\": {\n        \"COGNIO_API_URL\": \"http://localhost:8080\"\n      }\n    }\n  }\n}\n```\n\nNote: Claude Code requires `\"type\": \"stdio\"` in the config.\n\n## Available Tools\n\n### save_memory\nSave information to long-term semantic memory with automatic tagging and categorization.\n\nParameters:\n- `text` (required): The memory content to save\n- `project` (optional): Project name for organization. Either provide this or use set_active_project first\n- `tags` (optional): Array of tags. If omitted and auto-tagging is enabled with a valid LLM API key (GROQ_API_KEY or OPENAI_API_KEY), tags will be auto-generated\n- `metadata` (optional): Key-value metadata object\n\nNotes:\n- A project is required (either via parameter or active project context)\n- Auto-tagging requires: AUTOTAG_ENABLED=true and a configured LLM API key in .env\n- If auto-tagging is disabled or misconfigured, memory saves without tags\n\n### search_memory\nSearch memories using semantic similarity.\n\nParameters:\n- `query` (required): Search query text\n- `project` (optional): Filter by project. If omitted, uses active project (required)\n- `tags` (optional): Filter by tags array\n- `limit` (optional): Max results (default: 5)\n\nNotes:\n- A project context is required (either via parameter or set_active_project)\n- Similarity threshold is configurable via SIMILARITY_THRESHOLD in .env (default: 0.4)\n\n### list_memories\nList all memories with optional filtering.\n\nParameters:\n- `project` (optional): Filter by project. If omitted, uses active project (required)\n- `tags` (optional): Filter by tags array\n- `limit` (optional): Max results (default: 20)\n- `offset` (optional): Skip results (default: 0)\n\nNotes:\n- A project context is required (either via parameter or set_active_project)\n\n### get_memory\nGet a single memory by ID to view its full content.\n\nParameters:\n- `memory_id` (required): The ID of the memory to retrieve\n\nNotes:\n- Use this when you need to read the complete text of a specific memory\n- Memory IDs can be obtained from list_memories or search_memory results\n\n### get_memory_stats\nGet statistics about stored memories.\n\nNo parameters required.\n\n### archive_memory\nArchive (soft delete) a memory by ID.\n\nParameters:\n- `memory_id` (required): The memory ID to archive\n\n### delete_memory\nPermanently delete a memory by ID.\n\nParameters:\n- `memory_id` (required): The memory ID to delete\n\n### export_memories\nExport memories to JSON or Markdown format.\n\nParameters:\n- `format` (optional): Export format - 'json' or 'markdown' (default: json)\n- `project` (optional): Filter by project name\n\n### summarize_text\nSummarize long text using extractive or abstractive methods.\n\nParameters:\n- `text` (required): The text to summarize\n- `num_sentences` (optional): Number of sentences in summary (default: 3, max: 10)\n\n### set_active_project\nSet the active project context for all subsequent operations.\n\nParameters:\n- `project` (required): Project name to activate\n\n### get_active_project\nGet the currently active project context.\n\nNo parameters required.\n\n### list_projects\nList all available projects in the database.\n\nNo parameters required.\n\n## Environment Variables\n\n- `COGNIO_API_URL`: Base URL for Cognio API (default: http://localhost:8080)\n- `COGNIO_API_KEY`: Optional API key for authenticated requests (sent as `X-API-Key` header if provided)\n\n## Configuration\n\nAuto-tagging and other features are configured via `.env` in the Cognio project root:\n\n```bash\n# Auto-tagging (requires LLM API key)\nAUTOTAG_ENABLED=true\nLLM_PROVIDER=groq\nGROQ_API_KEY=your-key-here\nGROQ_MODEL=openai/gpt-oss-120b\n\n# Or use OpenAI instead\n# OPENAI_API_KEY=your-key-here\n# OPENAI_MODEL=gpt-3.5-turbo\n\n# Semantic search threshold (lower = more results, default 0.4)\nSIMILARITY_THRESHOLD=0.4\n\n# Summarization\nSUMMARIZATION_ENABLED=true\nSUMMARIZATION_METHOD=abstractive\n```\n\nSee `.env.example` in the Cognio root directory for complete configuration options.\n\n## Requirements\n\n- Node.js >= 18\n- Cognio server running (default: http://localhost:8080)\n","readmeFilename":"README.md"}