# Syntitan MCP Server The official Model Context Protocol (MCP) server for **Syntitan** by CUBIG — the AI-Ready Data Platform that fills the missing layer between enterprise data management and AI execution. It lets Claude and other MCP-compatible clients (Cursor, VS Code, Claude Code, ChatGPT, etc.) securely connect to Syntitan through natural language. - **Category:** Data & Analytics - **Transport:** Streamable HTTP - **Authentication:** OAuth 2.0 - **Endpoint:** `https://mcp.syntitan.ai/mcp` ## Connecting Add Syntitan as a remote MCP server in your client using the endpoint URL below: ``` https://mcp.syntitan.ai/mcp ``` On first connection your browser opens the Syntitan sign-in page. Log in and authorize access; the client then connects automatically. No API keys are stored in the client. Cursor, VS Code, Claude Code, and other MCP clients support remote MCP servers — add the endpoint URL above following each client's connector instructions. ## Tools - **List Datasets** — List datasets you can access, with version, row/column counts, AI Readiness score, and last-modified time - **Get AI Readiness Summary** — Overall AI Readiness score with per-category scores (Privacy, Conciseness, …) and top-priority issues - **Get AI Readiness Detail** — Break down a specific category to show which columns contributed and by how much - **Get Dataset Schema** — Column structure (type, missing values, PII flags) without exposing PII values - **Get Column Profile** — Detailed statistics for a single column (distinct/top values, missing rate, examples) - **Get Dataset Sample Rows** — Sample rows with PII auto-masked; refuses if unmasked PII is present - **Get Dataset History** — Version history (release status, author, timestamp, changes) - **Get Diagnosis Guide** — Guidance on interpreting AI Readiness diagnostic metrics - **Get Refinement Options** — Available preprocessing options (modules, de-identification targets) - **Estimate Refinement Credits** — Preview estimated credits and time before running a refinement - **Start Refinement** — Run preprocessing/de-identification (consumes credits); saved as a new snapshot - **Get Refinement Status** — Progress/status of a running or completed refinement ## Example use cases 1. **"What datasets do I have right now?"** — Lists your datasets with their latest version, row/column counts, AI Readiness score, and last-modified time. 2. **"Give me a full diagnosis of this dataset."** — Returns the overall AI Readiness score with a per-category breakdown (Privacy, Conciseness, Contextuality, …) and the highest-priority issues to fix first. 3. **"Which columns have the missing values, and why?"** — Drills into a specific category to show exactly which columns contributed and by how much. 4. **"Show me 10 sample rows where region is null."** — Returns sampled rows; PII columns are returned only in masked form, and the request is refused if the dataset still has unmasked PII. 5. **"Mask all the PII columns in this dataset."** — Runs Syntitan's de-identification preprocessing in place and reports the before/after AI Readiness change. ## Authentication & security Authentication uses **OAuth 2.0**. Users sign in through the Syntitan website; credentials are never shared with the MCP client. All traffic is served over HTTPS/TLS. ## Data handling Syntitan accesses only the data required to fulfill a user's request. Audit logs (which may include user identifiers such as email) are retained for operational and security purposes in accordance with our privacy policy. Data collection, storage, retention, and deletion practices are described in the privacy policy linked below. ## Support - **Email:** [email protected] - **Company:** CUBIG Corp. ## License All rights reserved. ---
How to connect
https://server.smithery.ai/cubig/syntitan-mcp/mcpcurl -X POST https://server.smithery.ai/cubig/syntitan-mcp/mcp \
-H 'Content-Type: application/json' \
-H 'Accept: application/json, text/event-stream' \
-d '{"jsonrpc":"2.0","id":1,"method":"initialize","params":{}}'