Tencent Lexiang AI knowledge base MCP server for searching, managing entries, and editing docs.
If you already use Tencent Lexiang, the tencent lexiang mcp server is the piece that lets your assistant work with it directly. Tencent Lexiang AI knowledge base MCP server for searching, managing entries, and editing docs.
Lexiang MCP 是乐享提供的 Model Context Protocol (MCP) 服务，让 AI 助手能够直接与您的乐享知识库进行交互。
Tencent Lexiang is an AI-powered enterprise knowledge base that activates the value of team knowledge through AI technology, making knowledge accessible at your fingertips.
Because this one is hosted, setup is mostly authentication — you point your client at the endpoint and approve access. Nothing runs on your machine, so there is no runtime to keep patched.
The toolset is worth reading before you wire it up, because it tells you what the integration is really for:
list_tool_categories — List all tool categoriessearch_tools — Search for toolsget_tool_schema — Get tool parameter definitionscall_tool — Call a specific toolCategory — CountConnectors — 6This sits in the monitoring and observability group, where several servers overlap in what they claim to do but differ sharply once you actually set them up. Tencent Lexiang's toolset — list_tool_categories, search_tools, get_tool_schema and 3 more — is a fair guide to whether it matches your workflow. It is maintained by ajaxhe; worth a glance at recent repository activity before you build anything load-bearing on it.
This entry was verified against Tencent Lexiang's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.
| Tool | What it does |
|---|---|
| list_tool_categories | List all tool categories |
| search_tools | Search for tools |
| get_tool_schema | Get tool parameter definitions |
| call_tool | Call a specific tool |
| Category | Count |
| Connectors | 6 |
{
"mcpServers": {
"lexiang": {
"url": "https://mcp.lexiang-app.com/mcp?company_from={您的乐享code}&access_token={您的access_token}"
}
}
}Configuration as documented by the project. Restart the client after saving.
Give your coding agent the full DevTools toolbox: traces, network, console, heap snapshots and Lighthouse.
Dashboards, Prometheus and Loki queries, incidents and alerts — observability by conversation.
Errors with full context — stack traces, issue triage and AI-powered root-cause analysis from Sentry's server.
Enables enhanced web research capabilities for large language models through intelligent search queuing and advanced content extraction.
Automates browser interactions and enables Large Language Models (LLMs) to interact with web pages through Playwright and Chrome DevTools Protocol
Guides tool usage by providing recommendations for MCP tools at each problem-solving stage.