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server for Alexandria — 171 expert AI agents across 22 teams, accessible from Claude Desktop and Claude Code","maintainers":[{"name":"finwitz","email":"mcgrath.ps@gmail.com"}],"readme":"# mcp-server-alexandria\n\n**171 expert AI agents as native tools in Claude Code, Claude Desktop, and any MCP client.**\n\nAlexandria's specialist agents — engineers, marketers, product managers, financial analysts, lawyers, and more — accessible directly from your conversations via the [Model Context Protocol](https://modelcontextprotocol.io). All responses use structured output with extractable code files. LLM-agnostic (Anthropic, OpenAI, Gemini).\n\n---\n\n## Quick Start\n\n### 1. Authenticate\n\n```bash\n# Install the CLI and log in with GitHub (one-time setup)\npip install alexandria-cli\nalexandria login\n```\n\nThis creates `~/.alexandria/credentials.json` — the MCP server picks it up automatically.\n\nAlternatively, set an API key directly:\n\n```bash\nexport ALEXANDRIA_API_KEY=your-key\n```\n\n### 2. Add to your editor\n\n**Claude Code:**\n\n```bash\n# If you used `alexandria login` (no env var needed):\nclaude mcp add alexandria -- npx mcp-server-alexandria\n\n# Or with an explicit API key:\nclaude mcp add alexandria -e ALEXANDRIA_API_KEY=your-key -- npx mcp-server-alexandria\n```\n\n**Claude Desktop** — edit `~/Library/Application Support/Claude/claude_desktop_config.json`:\n\n```json\n{\n  \"mcpServers\": {\n    \"alexandria\": {\n      \"command\": \"npx\",\n      \"args\": [\"mcp-server-alexandria\"]\n    }\n  }\n}\n```\n\nRestart Claude Desktop. Alexandria tools appear in your conversation.\n\n### Alternative package name\n\n```bash\n# Same server, shorter name:\nnpx alexandria-mcp\n```\n\n---\n\n## Tools\n\n### `alexandria_ask` — Auto-route to best agent\n\nDescribe any task. Alexandria selects the best specialist, executes, and returns structured output.\n\n**Parameters:**\n| Parameter | Required | Description |\n|-----------|----------|-------------|\n| `task` | yes | What you need done |\n| `project` | no | Project name for memory scoping |\n| `max_agents` | no | Max agents to use (default: 10) |\n| `context_tags` | no | Tags for context (e.g., `[\"b2b\", \"saas\"]`) |\n\n**Example — generate a React hook:**\n\nPrompt: *\"Use alexandria_ask to generate a type-safe React hook for form validation with tests\"*\n\nResponse:\n```json\n{\n  \"result\": \"Here's a type-safe useFormValidation hook with full test coverage...\",\n  \"files\": [\n    {\n      \"path\": \"src/hooks/useFormValidation.ts\",\n      \"language\": \"typescript\",\n      \"content\": \"import { useState, useCallback } from 'react';\\n\\nexport interface ValidationRule {\\n  validate: (value: string) => boolean;\\n  message: string;\\n}\\n\\nexport function useFormValidation(rules: Record<string, ValidationRule[]>) {\\n  // ... full implementation\\n}\"\n    },\n    {\n      \"path\": \"src/hooks/__tests__/useFormValidation.test.ts\",\n      \"language\": \"typescript\",\n      \"content\": \"import { renderHook, act } from '@testing-library/react-hooks';\\nimport { useFormValidation } from '../useFormValidation';\\n\\ndescribe('useFormValidation', () => {\\n  // ... full test suite\\n});\"\n    },\n    {\n      \"path\": \"src/hooks/index.ts\",\n      \"language\": \"typescript\",\n      \"content\": \"export { useFormValidation } from './useFormValidation';\\nexport type { ValidationRule } from './useFormValidation';\"\n    }\n  ],\n  \"commands\": [\"npm install\"],\n  \"confidence\": 0.92,\n  \"agent_used\": \"frontend-developer\"\n}\n```\n\n---\n\n### `alexandria_run_agent` — Run a specific agent\n\nRun a named agent directly. Supports file context injection — pass existing code files and the agent sees their full content.\n\n**Parameters:**\n| Parameter | Required | Description |\n|-----------|----------|-------------|\n| `agent` | yes | Agent slug (e.g., `code-reviewer`, `frontend-developer`) |\n| `task` | yes | The task |\n| `provider` | no | `anthropic`, `openai`, or `gemini` |\n| `files` | no | Array of `{path, content}` objects for file context |\n\n**Example — code review with file context:**\n\nPrompt: *\"Use alexandria_run_agent with code-reviewer to review my trading bot\"*\n\nPass the file content in the `files` parameter:\n```json\n{\n  \"agent\": \"code-reviewer\",\n  \"task\": \"Review this trading bot for bugs and improvements\",\n  \"files\": [\n    {\n      \"path\": \"src/TradingBot.ts\",\n      \"content\": \"class TradingBot {\\n  private bankroll: number = 1000;\\n  setBankroll(amount: number) { this.bankroll = amount; }\\n  // ...\\n}\"\n    }\n  ]\n}\n```\n\nResponse:\n```json\n{\n  \"result\": \"## Code Review: TradingBot\\n\\n### Issues Found\\n1. **Missing input validation** — `setBankroll(amount)` accepts negative values. Add guard: `if (amount < 0) throw new Error('...')`\\n2. **No bankroll bounds checking** — the bankroll field (currently 1000) has no max limit\\n3. **Race condition risk** — concurrent `setBankroll` calls could corrupt state\\n\\n### Recommendations\\n- Add input validation on all public methods\\n- Consider using immutable state pattern\\n- Add unit tests for edge cases\",\n  \"files\": [],\n  \"commands\": [],\n  \"confidence\": 0.95,\n  \"agent_used\": \"code-reviewer\"\n}\n```\n\nThe agent referenced the `TradingBot` class, `setBankroll` method, and `bankroll` value by name — it received the full file content.\n\n---\n\n### `alexandria_list_agents` — Discover agents\n\nBrowse and search the agent library by team or keyword.\n\n**Parameters:**\n| Parameter | Required | Description |\n|-----------|----------|-------------|\n| `team` | no | Filter by team (e.g., `engineering`, `marketing`) |\n| `search` | no | Search by name or description |\n\n**Example — list engineering agents:**\n\n```json\n{\n  \"team\": \"engineering\"\n}\n```\n\nResponse:\n```json\n{\n  \"agents\": [\n    { \"name\": \"ai-engineer\", \"team\": \"engineering\", \"description\": \"AI/ML engineering specialist\" },\n    { \"name\": \"backend-architect\", \"team\": \"engineering\", \"description\": \"Backend architecture and API design\" },\n    { \"name\": \"devops-automator\", \"team\": \"engineering\", \"description\": \"CI/CD, infrastructure, deployment\" },\n    { \"name\": \"frontend-developer\", \"team\": \"engineering\", \"description\": \"Frontend development, React, TypeScript\" }\n  ],\n  \"count\": 4\n}\n```\n\n---\n\n### `alexandria_get_tools` — Export as OpenAI function-calling schema\n\nExport Alexandria agents as OpenAI-compatible function-calling tool definitions. Useful for integrating agents into your own tool-using LLM pipelines.\n\n**Parameters:**\n| Parameter | Required | Description |\n|-----------|----------|-------------|\n| `team` | no | Filter by team |\n| `agents` | no | Specific agent slugs to export |\n\n---\n\n### `alexandria_learn` — Store learnings\n\nStore insights into Alexandria's memory for retrieval in future sessions.\n\n**Parameters:**\n| Parameter | Required | Description |\n|-----------|----------|-------------|\n| `text` | yes | The learning/insight to store |\n| `agent_name` | no | The agent that produced this learning |\n| `project` | no | Project scope |\n\n**Example:**\n```json\n{\n  \"text\": \"B2B cold outreach converts 3x better on Tuesday mornings vs Friday afternoons\",\n  \"agent_name\": \"sales-strategist\",\n  \"project\": \"growth-experiments\"\n}\n```\n\n---\n\n### `alexandria_generate_image` — Generate images\n\nGenerate images using multiple AI providers. Supports Gemini Nano Banana (default), OpenAI DALL-E 3, xAI Aurora, Stability AI SD3.5, and FAL.ai Flux Pro.\n\n**Parameters:**\n| Parameter | Required | Description |\n|-----------|----------|-------------|\n| `prompt` | yes | Text description of the image to generate |\n| `provider` | no | `gemini` (default), `openai`, `xai`, `stability`, `fal` |\n| `style_guide` | no | Detailed style instructions (e.g., \"flat vector, minimalist\") |\n| `resolution` | no | Output resolution (default: `1024x1024`) |\n| `api_key` | no | Provider API key (falls back to server env vars) |\n\n**Example:**\n```json\n{\n  \"prompt\": \"minimalist logo for a tech startup\",\n  \"provider\": \"gemini\",\n  \"style_guide\": \"flat vector, clean lines, modern\"\n}\n```\n\nResponse includes base64 image data, file save path, and revised prompt.\n\n---\n\n### `alexandria_health` — Status check\n\nNo parameters. Returns API health status.\n\n---\n\n### `alexandria_doctor` — Self-diagnostic\n\nNo parameters. Runs 8 checks: MCP mode, LLM provider, auth type, Data API auth, API connectivity (vector DB / embeddings / database), `.alexandria/` project detection, agent catalog, routing, and trust data. Prints a green/yellow/red dashboard with action recommendations. Use this first when something feels off.\n\n---\n\n## Structured Output\n\nAll agent executions return a consistent schema:\n\n```typescript\n{\n  result: string;          // The agent's main response\n  files: Array<{           // Extractable code files (empty if not a coding task)\n    path: string;          // Suggested file path\n    language: string;      // Language identifier\n    content: string;       // Full file content, ready to write\n  }>;\n  commands: string[];      // Shell commands to run (e.g., \"npm install\")\n  confidence: number;      // 0-1 confidence score\n  agent_used: string;      // Which agent handled the task\n}\n```\n\nThe `files` array is the key addition — when an agent generates code, each file is separated out with its path, language, and content. Your workflow can extract and write these files directly.\n\n---\n\n## `/gm/ask/stream` Endpoint\n\nFor programmatic use outside MCP, the streaming endpoint auto-routes to the best agent and streams the response:\n\n```bash\ncurl -N -X POST https://agenticteam-production.up.railway.app/gm/ask/stream \\\n  -H \"Authorization: Bearer $ALEXANDRIA_API_KEY\" \\\n  -H \"Content-Type: application/json\" \\\n  -d '{\n    \"task\": \"Create a React hook for debounced search\"\n  }'\n```\n\nReturns SSE events. Specify `\"agent\": \"agent-name\"` to target a specific agent.\n\n---\n\n## LLM Execution (BYOT)\n\nAlexandria never bills the server's LLM keys. The MCP runs in one of two modes:\n\n### Delegate mode (default when no provider key is set)\n\nThe MCP assembles the agent prompt + routing + memory context and returns it to the **host LLM** (e.g., Claude Code), which produces the agent's output using its own credentials. Zero API keys needed, zero Alexandria cost, fully within Anthropic TOS.\n\nThis is the recommended mode for Claude Code and Claude Desktop users.\n\n### Execute mode (BYOT — when a provider key IS set)\n\nSet one of the following environment variables and the MCP will call the provider directly:\n\n| Provider | Env var | Default model |\n|---|---|---|\n| Anthropic | `ANTHROPIC_API_KEY` | `claude-sonnet-4-6` |\n| OpenAI | `OPENAI_API_KEY` | `gpt-5` |\n| Gemini | `GEMINI_API_KEY` / `GOOGLE_API_KEY` | `gemini-2.5-flash` |\n| Groq | `GROQ_API_KEY` | `llama-3.3-70b-versatile` |\n| Mistral | `MISTRAL_API_KEY` | `mistral-large-latest` |\n| OpenRouter | `OPENROUTER_API_KEY` | `anthropic/claude-sonnet-4-6` |\n\nOverride provider selection with `LLM_PROVIDER=anthropic|openai|gemini|groq|mistral|openrouter`. Override the default mode with `ALEXANDRIA_MODE=delegate|execute|auto` (default is `auto`).\n\n### Claude Code subscription tokens\n\n`ANTHROPIC_API_KEY` also accepts Claude Code OAuth / subscription tokens (the `sk-ant-oat-*` kind issued by `claude login`). The MCP detects the token prefix and switches from `x-api-key` auth to `Authorization: Bearer` + the required `anthropic-beta` headers automatically. No extra configuration.\n\n**Limitations with subscription tokens:**\n- Streaming is not supported — the MCP will throw a clear error if `stream: true` is requested with an OAuth token. Use a raw API key from `console.anthropic.com` if you need streaming.\n\n---\n\n## Tips\n\n- **Discover first**: Use `alexandria_list_agents` to browse available specialists before running tasks.\n- **Be specific with `alexandria_run_agent`**: When you know which agent you want, call it directly — faster than auto-routing.\n- **Use `alexandria_ask` for ambiguous tasks**: Let the GM pick the right specialist when you're not sure which agent fits.\n- **Pass file context**: The `files` parameter lets agents see your actual code. Reviews and refactors are dramatically better with real context.\n- **Check `files[]` in responses**: Code generation tasks return extractable files — use them directly instead of copying from the `result` text.\n\n---\n\n## Authentication\n\nThe MCP server resolves credentials in this order:\n\n1. `ALEXANDRIA_API_KEY` env var → sent as `X-API-Key` header\n2. `API_SECRET_KEY` env var → sent as `X-API-Key` header\n3. `~/.alexandria/credentials.json` from `alexandria login` → sent as Bearer token\n\nMost users should run `alexandria login` once. The credentials file is created with restricted permissions (0600).\n\n---\n\n## License\n\nMIT — Alexandria agents are yours to use with your own API keys.\n","readmeFilename":"README.md"}