{
  "name": "Laisky MCP",
  "displayName": "Laisky MCP",
  "version": "1.0.0",
  "description": "Remote MCP server for AI agents that need web search, rendered fetch, user request queues, FileIO storage, memory lifecycle tools, RAG extraction, and auditable call logs.",
  "serverUrl": "https://mcp.laisky.com",
  "transport": "streamable_http",
  "protocolVersion": "2025-06-18",
  "icon": "https://s3.laisky.com/uploads/2025/12/mcp_icon.png",
  "documentationUrl": "https://mcp.laisky.com/llms.txt",
  "authentication": {
    "type": "bearer",
    "authorizationUrl": "https://wiki.laisky.com/projects/gpt/pay/",
    "instructions": "Send Authorization: Bearer <api key> on MCP initialize, tools/list, and tools/call requests."
  },
  "tools": [
    {
      "name": "web_search",
      "description": "Search the public web with Google Programmable Search and return structured URL, title, snippet, and timestamp results.",
      "inputSchema": {
        "type": "object",
        "required": ["query"],
        "properties": {
          "query": { "type": "string", "description": "Plain text search query." }
        }
      }
    },
    {
      "name": "web_fetch",
      "description": "Fetch and render a dynamic web page, optionally returning markdown suitable for agent context.",
      "inputSchema": {
        "type": "object",
        "required": ["url"],
        "properties": {
          "url": { "type": "string", "format": "uri" },
          "output_markdown": { "type": "boolean" }
        }
      }
    },
    {
      "name": "get_user_request",
      "description": "Retrieve the latest queued human directive for the bearer token and task_id, then mark it consumed.",
      "inputSchema": {
        "type": "object",
        "properties": {
          "task_id": { "type": "string", "description": "Queue isolation key. Use graphql for this repository." }
        }
      }
    },
    {
      "name": "file_read",
      "description": "Read a project-scoped file from the remote FileIO workspace.",
      "inputSchema": {
        "type": "object",
        "required": ["project", "path"],
        "properties": {
          "project": { "type": "string", "description": "Project namespace. Use graphql for this repository." },
          "path": { "type": "string" }
        }
      }
    },
    {
      "name": "file_write",
      "description": "Write project-scoped content into the remote FileIO workspace for durable agent context.",
      "inputSchema": {
        "type": "object",
        "required": ["project", "path", "content"],
        "properties": {
          "project": { "type": "string" },
          "path": { "type": "string" },
          "content": { "type": "string" }
        }
      }
    },
    {
      "name": "memory_before_turn",
      "description": "Recall server-side memory and prepare model input before an agent turn.",
      "inputSchema": {
        "type": "object",
        "required": ["project", "session_id", "current_input"],
        "properties": {
          "project": { "type": "string" },
          "session_id": { "type": "string" },
          "current_input": { "type": "string" }
        }
      }
    },
    {
      "name": "extract_key_info",
      "description": "Chunk supplied materials, rank them for a query with retrieval techniques, and return the most relevant context passages.",
      "inputSchema": {
        "type": "object",
        "required": ["query", "materials"],
        "properties": {
          "query": { "type": "string" },
          "materials": { "type": "string" },
          "top_k": { "type": "integer", "minimum": 1, "maximum": 20 }
        }
      }
    },
    {
      "name": "file_stat",
      "description": "Inspect metadata for a project-scoped FileIO path before reading, writing, moving, or deleting it.",
      "inputSchema": {
        "type": "object",
        "required": ["project", "path"],
        "properties": {
          "project": { "type": "string", "description": "Project namespace. Use graphql for this repository." },
          "path": { "type": "string" }
        }
      }
    },
    {
      "name": "file_list",
      "description": "List files and directories under a project-scoped FileIO path with configurable traversal depth.",
      "inputSchema": {
        "type": "object",
        "required": ["project", "path"],
        "properties": {
          "project": { "type": "string", "description": "Project namespace. Use graphql for this repository." },
          "path": { "type": "string" },
          "depth": { "type": "integer", "minimum": 0 },
          "limit": { "type": "integer", "minimum": 1 }
        }
      }
    },
    {
      "name": "file_search",
      "description": "Search project-scoped FileIO memory for relevant files or chunks using the configured memory backend.",
      "inputSchema": {
        "type": "object",
        "required": ["project", "query"],
        "properties": {
          "project": { "type": "string", "description": "Project namespace. Use graphql for this repository." },
          "query": { "type": "string" },
          "path_prefix": { "type": "string" },
          "limit": { "type": "integer", "minimum": 1 }
        }
      }
    },
    {
      "name": "file_delete",
      "description": "Delete a project-scoped FileIO file or directory after the agent has confirmed the target is correct.",
      "inputSchema": {
        "type": "object",
        "required": ["project", "path"],
        "properties": {
          "project": { "type": "string", "description": "Project namespace. Use graphql for this repository." },
          "path": { "type": "string" },
          "recursive": { "type": "boolean" }
        }
      }
    },
    {
      "name": "file_rename",
      "description": "Move or rename a project-scoped FileIO file or directory while preserving shared remote context.",
      "inputSchema": {
        "type": "object",
        "required": ["project", "from_path", "to_path"],
        "properties": {
          "project": { "type": "string", "description": "Project namespace. Use graphql for this repository." },
          "from_path": { "type": "string" },
          "to_path": { "type": "string" },
          "overwrite": { "type": "boolean" }
        }
      }
    },
    {
      "name": "find_tool",
      "description": "Search the live MCP tool catalog by keyword or semantic intent when an agent is unsure which tool to call.",
      "inputSchema": {
        "type": "object",
        "required": ["query"],
        "properties": {
          "query": { "type": "string" },
          "mode": { "type": "string", "enum": ["auto", "regex", "bm25", "embedding"] },
          "return_references_only": { "type": "boolean" }
        }
      }
    },
    {
      "name": "mcp_pipe",
      "description": "Execute a controlled sequence of MCP tool calls with variable substitution for multi-step agent workflows.",
      "inputSchema": {
        "type": "object",
        "required": ["steps"],
        "properties": {
          "steps": { "type": "array", "items": { "type": "object" } },
          "vars": { "type": "object" }
        }
      }
    },
    {
      "name": "memory_after_turn",
      "description": "Persist useful outcomes after an agent turn so future agents can reuse project knowledge.",
      "inputSchema": {
        "type": "object",
        "required": ["project", "session_id", "current_input", "assistant_response"],
        "properties": {
          "project": { "type": "string", "description": "Project namespace. Use graphql for this repository." },
          "session_id": { "type": "string" },
          "current_input": { "type": "string" },
          "assistant_response": { "type": "string" }
        }
      }
    },
    {
      "name": "memory_run_maintenance",
      "description": "Run maintenance over stored project memory to compact, refresh, or clean durable agent context.",
      "inputSchema": {
        "type": "object",
        "required": ["project"],
        "properties": {
          "project": { "type": "string", "description": "Project namespace. Use graphql for this repository." },
          "path_prefix": { "type": "string" },
          "limit": { "type": "integer", "minimum": 1 }
        }
      }
    },
    {
      "name": "memory_list_dir_with_abstract",
      "description": "List memory directory entries with abstracts so an agent can choose relevant context without reading every file.",
      "inputSchema": {
        "type": "object",
        "required": ["project", "path"],
        "properties": {
          "project": { "type": "string", "description": "Project namespace. Use graphql for this repository." },
          "path": { "type": "string" },
          "depth": { "type": "integer", "minimum": 0 }
        }
      }
    }
  ]
}