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server for NeuralSeek — exposes seek, run/upload/list/delete agents, streaming, and logs as MCP tools for Claude Desktop, VS Code Copilot, Cursor, and any MCP-compatible AI.","maintainers":[{"name":"osuna0102","email":"osuna.alejo@gmail.com"}],"readme":"# mcpns — NeuralSeek MCP Server + TypeScript SDK\r\n\r\nConnect any MCP-compatible AI (Claude Desktop, VS Code Copilot, Cursor …) directly to your **NeuralSeek** instance.\r\n15 tools out of the box: seek, run agents, upload/list/delete agents, stream, inspect logs, generate NTL from a description, replay run traces, and sync workspace.\r\n\r\n---\r\n\r\n## MCP Server — Quick Setup\r\n\r\n### 1. Install\r\n\r\n```bash\r\nnpm install -g @osuna0102/mcp\r\n```\r\n\r\n> **No install required for VS Code / Claude Desktop** — use `npx` (see step 3) and it downloads automatically on first use.\r\n\r\n### 2. Configure your NeuralSeek instance\r\n\r\nCreate a `.neuralseekrc.json` in your home folder (or project root, or pass env vars):\r\n\r\n```json\r\n{\r\n  \"instance\": \"Your_Instance_Name\",\r\n  \"apiKey\":   \"xxxxxxxx-xxxxxxxx-xxxxxxxx-xxxxxxxx\",\r\n  \"baseUrl\":  \"https://stagingapi.neuralseek.com/v1\"\r\n}\r\n```\r\n\r\nOr set environment variables instead (preferred for CI/Docker):\r\n\r\n```\r\nNS_INSTANCE, NS_API_KEY, NS_BASE_URL\r\n```\r\n\r\nAll tools work with just `instance` and `apiKey`.\r\n\r\n### 3. Add to VS Code (`.vscode/mcp.json`)\r\n\r\n```json\r\n{\r\n  \"servers\": {\r\n    \"neuralseek\": {\r\n      \"type\": \"stdio\",\r\n      \"command\": \"npx\",\r\n      \"args\": [\"-y\", \"@osuna0102/mcp\"]\r\n    }\r\n  }\r\n}\r\n```\r\n\r\n> Using `npx` means **no global install needed** — works on any machine with Node.js. The package is cached after the first run.\r\n\r\n### 4. Add to Claude Desktop\r\n\r\n**macOS:** `~/Library/Application Support/Claude/claude_desktop_config.json`  \r\n**Windows:** `%APPDATA%\\Claude\\claude_desktop_config.json`\r\n\r\n```json\r\n{\r\n  \"mcpServers\": {\r\n    \"neuralseek\": {\r\n      \"command\": \"npx\",\r\n      \"args\": [\"-y\", \"@osuna0102/mcp\"]\r\n    }\r\n  }\r\n}\r\n```\r\n\r\n> If you prefer using the globally-installed binary directly, run `npm install -g @osuna0102/mcp` first and then use `\"command\": \"mcpns\"` instead.\r\n\r\nRestart Claude Desktop — 14 NeuralSeek tools will appear immediately.\r\n\r\n### 5. Docker / environment-variable-only\r\n\r\n```bash\r\ndocker run --rm -i \\\r\n  -e NS_INSTANCE=\"Your_Instance_Name\" \\\r\n  -e NS_API_KEY=\"your-api-key\" \\\r\n  -e NS_BASE_URL=\"https://stagingapi.neuralseek.com/v1\" \\\r\n  node:22-alpine sh -c \"npm install -g @osuna0102/mcp && mcpns\"\r\n```\r\n\r\nOr point the config at the Docker binary:\r\n```json\r\n{\r\n  \"mcpServers\": {\r\n    \"neuralseek\": {\r\n      \"command\": \"docker\",\r\n      \"args\": [\"run\",\"--rm\",\"-i\",\"-e\",\"NS_INSTANCE=...\",\"-e\",\"NS_API_KEY=...\",\"mcpns-image\"]\r\n    }\r\n  }\r\n}\r\n```\r\n\r\n---\r\n\r\n## Available MCP Tools\r\n\r\n| Tool | Description |\r\n|------|-----------|\r\n| `seek` | RAG question-answering with confidence score and optional sources |\r\n| `run_agent` | Run a local `.ntl` agent file with params |\r\n| `run_agent_stream` | Same via SSE streaming — better for long-running agents |\r\n| `upload_agent` | Save a local `.ntl` to your NeuralSeek instance |\r\n| `list_agents` | List saved agents (name + description) |\r\n| `list_agents_full` | List all agents with full NTL source + metadata |\r\n| `get_agent` | Fetch one agent by name with its NTL source |\r\n| `call_agent` | Run a saved agent by name with params |\r\n| `delete_agent` | Delete one or more agents by name |\r\n| `get_logs` | Retrieve recent mAIstro run logs with run IDs for replay |\r\n| `replay_run` | Replay a run by ID — full step-by-step execution trace for debugging |\r\n| `sync_agents` | Pull all instance agents to workspace (auto-runs on startup) |\r\n| `create_agent` | Write a new NTL agent file to `agents/custom/` |\r\n| `generate_ntl` | Generate a NTL draft from a plain-English description via makeNTL API |\r\n| `backup_instance` | Export full instance config to a `.nsconfig` file |\r\n\r\nAll tools require only an `apiKey`. The full NTL syntax reference is available as the `ntl://reference` MCP Resource (read-on-demand, not a tool).\r\n\r\n---\r\n\r\n## Agent Development Workflow\r\n\r\nWhen creating, testing, fixing, or touching any agent, always follow this cycle:\r\n\r\n1. **Find** → `list_agents` / `get_agent` — retrieve current NTL from the instance\r\n2. **Edit** → `create_agent` — write or update the local `.ntl` file in `agents/custom/`\r\n3. **Upload** → `upload_agent` — **save to the NeuralSeek instance** (do NOT stream raw NTL inline as a test)\r\n4. **Run** → `call_agent` — test the saved named agent on the instance\r\n5. **Verify** output against user requirements. If not correct → repeat from step 1.\r\n\r\nRead the `ntl://reference` MCP Resource before writing or editing NTL — it contains all 140+ nodes, params, and examples.\r\n\r\n---\r\n\r\n## TypeScript SDK\r\n\r\nThe package also exports a fully-typed NeuralSeek SDK:\r\n\r\n### Installation\r\n\r\n```bash\r\nnpm install @osuna0102/mcp\r\n```\r\n\r\n### Quick Start\r\n\r\n```typescript\r\nimport { NeuralSeekClient } from '@osuna0102/mcp';\r\n\r\nconst client = new NeuralSeekClient({\r\n  instanceId: process.env.NEURALSEEK_INSTANCE!,\r\n  apiKey: process.env.NEURALSEEK_API_KEY!,\r\n});\r\n\r\n// Ask a question\r\nconst { answer, score } = await client.seek.seek({ question: 'What is NeuralSeek?' });\r\n\r\n// Stream a response\r\nfor await (const chunk of client.seek.seekStream({ question: 'Explain mAIstro' })) {\r\n  process.stdout.write(chunk.answer ?? '');\r\n}\r\n\r\n// Run a saved agent\r\nconst result = await client.maistro.run({\r\n  agent: 'my-agent',\r\n  params: [{ name: 'topic', value: 'loans' }],\r\n});\r\n\r\n// Upload an agent\r\nawait client.maistro.saveAgent({ name: 'my-agent', desc: '...', ntl: '...' });\r\n```\r\n\r\n### Agent Definition (TypeScript-first, equivalent of IBM YAML agent)\r\n\r\n```typescript\r\nimport { AgentDefinition, NeuralSeekClient } from '@osuna0102/mcp';\r\n\r\nconst agent = new AgentDefinition({\r\n  name: 'it-support-responder',\r\n  description: 'Generate IT support responses',\r\n  ntl: `[send to llm model=\"default\"]\r\nHandle this IT ticket:\r\nSubject: $subject, Description: $description\r\n[/send to llm]`,\r\n  params: [\r\n    { name: 'subject',     required: true },\r\n    { name: 'description', required: true },\r\n  ],\r\n});\r\n\r\nconst { valid, errors } = agent.validate();\r\nawait client.maistro.saveAgent(agent.toSavedAgent());\r\n```\r\n\r\n### Module Reference\r\n\r\n| Module | Property | Key Methods |\r\n|---|---|---|\r\n| Seek | `client.seek` | `seek()`, `seekStream()`, `rateAnswer()` |\r\n| mAIstro | `client.maistro` | `run()`, `runStream()`, `listAgents()`, `listAgentsFull()`, `saveAgent()`, `getAgent()`, `deleteAgents()` |\r\n| Extract | `client.extract` | `extractEntities()`, `categorize()` |\r\n| Translate | `client.translate` | `translate()`, `identify()` |\r\n| Guardrails | `client.guardrails` | `findPII()`, `semanticScore()` |\r\n| Analytics | `client.analytics` | `getAnalytics()`, `getLogs()` |\r\n| Keys | `client.keys` | `healthCheck()`, `validateKey()`, `runBatchTest()` |\r\n| Curate | `client.curate` | `listIntents()`, `createIntent()`, `importQA()`, `exportQA()` |\r\n| Configure | `client.configure` | `getSettings()`, `updateSettings()`, `listSecrets()`, `setSecret()` |\r\n\r\n---\r\n\r\n## CLI\r\n\r\n```bash\r\nneuralseek seek ask \"What is NeuralSeek?\"\r\nneuralseek agent list\r\nneuralseek agent deploy ./my-agent.agent.json\r\nneuralseek agent run my-agent -p topic=loans\r\nneuralseek logs list --limit 20\r\nneuralseek health\r\n```\r\n\r\n---\r\n\r\n## Building from source\r\n\r\n```bash\r\nnpm install\r\nnpm run build       # compile to dist/\r\nnpm run typecheck   # TypeScript check\r\nnpm test            # unit tests\r\nnpm run mcp:start   # run MCP server directly via tsx (no build)\r\n```\r\n\r\n---\r\n\r\n## Security\r\n\r\n- Never commit `.neuralseekrc.json` with real credentials. It is already in `.gitignore`.\r\n- Use `NS_API_KEY` / `NEURALSEEK_API_KEY` environment variables in CI/CD and Docker.\r\n\r\n","readmeFilename":"README.md"}