pulsemcp verified Safe content atomic mcp-remote

TiDB AI

TiDB AI MCP Server provides a lightweight bridge between Cursor and TiDB AI, enabling users to ask questions directly to TiDB AI without leaving their editor. Built with Go, it implements the Model Control Protocol with Server-Sent Events (SSE) transport and exposes a single 'ask' tool that forwards questions to the TiDB AI API and streams back responses. The server is configurable via command-line arguments for port selection and requires minimal setup, making it ideal for developers working with TiDB who want AI assistance integrated into their workflow.

Cognium trust score

98%

Tier

Verified

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-19.

Scan details: Circle-IR · 2026-09-19 · Appeal

View full trust & usage report →

Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: api-integration
Source: PulseMCP
Repository: github.com/siddontang/tidb-ai-mcp
Author type: human
Last scanned: 2026-09-19
Updated: 2026-09-19

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MCP

Resolve TiDB AI from your agent

Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.

One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.

claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"