By name: notion-mcp description: MCP server for Notion databases. Query pages, manage databases, and automate Notion workflows via standardized protocol. domain: mcp tags:
- mcp
- mcp-server
- model-context-protocol
- notion
- tool-integration
Notion Mcp
When to Use
Trigger phrases:
- "notion mcp"
- "Help me with notion mcp"
Use cases:
- When the task matches this skill's domain expertise
When NOT to use:
- For tasks outside this skill's scope
When NOT to Use
- When a simpler HTTP client would suffice
- For internal tools that do not need cross-platform compatibility
- When the tool is used by a single agent in a single context
Overview
Notion Mcp implements a Model Context Protocol server for Model Context Protocol.
Architecture
- Server — MCP-compliant server exposing tools and resources
- Transport — stdio or HTTP transport layer
- Tools — Callable functions with JSON Schema definitions
- Resources — Readable data sources with URI-based access
Setup
- Install the MCP server package
- Configure environment variables and credentials
- Register the server in MCP client configuration
- Test tool invocations and resource access
Configuration
- Server name and version
- Transport type (stdio, SSE, HTTP)
- Tool definitions with input/output schemas
- Resource URI patterns
- Authentication and rate limiting
Integration
- Compatible with Claude, Cursor, and other MCP clients
- Supports streaming responses for large payloads
- Handles errors with standard MCP error codes
Anti-Rationalization
| Rationalization | Reality |
|---|---|
| "I will just use curl" | MCP handles auth, retries, streaming, and type safety. Use the SDK. |
| "One mega-server is simpler" | Single-responsibility servers are easier to debug and maintain. |
| "MCP is just a wrapper" | MCP enables cross-platform tool sharing. It is infrastructure, not overhead. |
// Example: MCP server tool definition
import { McpServer } from "@modelcontextprotocol/sdk";
const server = new McpServer({ name: "my-tools", version: "1.0.0" });
server.tool("search", { query: z.string() }, async ({ query }) => {
const results = await search(query);
return { content: [{ type: "text", text: JSON.stringify(results) }] };
});
Verification
- All steps executed successfully
- Results validated against acceptance criteria
- Error handling tested with edge cases
- Documentation updated with findings