Syntitan
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
| Tool (title) | Description | readOnlyHint | destructiveHint |
|---|---|---|---|
| Estimate Refinement Credits | Preview the estimated credits and time required before running a refinement | true | — |
| Get AI Readiness Detail | Break down a specific AI Readiness category to show which columns contributed and by how much | true | — |
| Get AI Readiness Summary | Return a dataset's overall AI Readiness score with per-category scores (Privacy, Conciseness, …) and the top-priority issues | true | — |
| Get Column Profile | Return detailed statistics for a single column, such as distinct/top values, missing rate, and example values | true | — |
| Get Dataset History | Return a dataset's full version history, including each version's release status, author, timestamp, and changes (masked PII entities and applied refinement modules) | true | — |
| Get Refinement Options | Return the available preprocessing options for a dataset, such as preprocessing modules and de-identification targets | true | — |
| Get Refinement Status | Return the progress and status of a running or completed refinement | true | — |
| Get Dataset Sample Rows | Return a sample of rows from a dataset with PII columns auto-masked; refuses if unmasked PII is present | true | — |
| Get Dataset Schema | Return a dataset's column structure — type, missing values, PII flags — without exposing PII column values | true | — |
| Get Diagnosis Guide | Return guidance on how to interpret AI Readiness diagnostic metrics and scores | true | — |
| List Datasets | List datasets the user can access, with each one's latest version, row/column counts, AI Readiness score, and last-modified time | true | — |
| Start Refinement | Run preprocessing/de-identification on a dataset (consumes credits); results are saved as a new snapshot | false | false |
Example use cases
- "What datasets do I have right now?" — Lists your datasets with their latest version, row/column counts, AI Readiness score, and last-modified time.
- "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.
- "Which columns have the missing values, and why?" — Drills into a specific category to show exactly which columns contributed and by how much.
- "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.
- "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.
Privacy & terms
- Privacy Policy: https://syntitan.ai/privacy-policy
- Terms of Service: https://syntitan.ai/terms-of-service
Support
- Email: team-product@cubig.ai
- Company: CUBIG Corp.
License
All rights reserved.
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