Skip to main content
Glama
Sign In
biji-mcp

biji-mcp

by wuwu119
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Remote

Get笔记 MCP Server

在 Claude 中搜索 Get笔记 知识库内容。

安装

# 克隆项目
git clone <repo>
cd biji-mcp

# 安装依赖
uv sync

Related MCP server: Get笔记 MCP Server

配置

首次运行会自动创建配置文件 ~/.biji-mcp/config.json，请编辑填入你的API配置：

{
  "knowledge_bases": {
    "工作": {
      "token": "your-api-token",
      "topic_id": "your-topic-id",
      "description": "工作相关笔记"
    }
  },
  "default": "工作",
  "settings": {
    "default_top_k": 10,
    "timeout": 30
  }
}

获取API配置：进入 Get笔记 Web版知识库 → 点击"API设置"按钮。

Claude Desktop 配置

在 ~/Library/Application Support/Claude/claude_desktop_config.json 添加：

{
  "mcpServers": {
    "biji": {
      "command": "uv",
      "args": ["--directory", "/path/to/biji-mcp", "run", "biji-mcp"]
    }
  }
}

可用工具

biji_search

在知识库中搜索，返回AI生成的答案。

参数：

  • question (必需): 搜索问题

  • kb: 知识库名称

  • deep_seek: 启用深度思考

  • with_refs: 返回引用来源

biji_recall

召回原始内容片段，不经AI处理。

参数：

  • question (必需): 搜索问题

  • kb: 知识库名称

  • top_k: 返回结果数量

  • intent_rewrite: 意图改写

biji_list_kb

列出已配置的知识库。

调试

设置环境变量启用调试日志：

BIJI_MCP_DEBUG=1 uv run biji-mcp

API限制

  • QPS: 2

  • 日调用: 5000次

  • 公测期免费

Available Tools

3 tools
biji_list_kbA

列出所有已配置的Get笔记知识库

Inputs: no named parameters.

biji_recallA

召回知识库原始内容片段，不经AI处理，返回相关度排序的结果列表

Inputs: question (required), kb, top_k, intent_rewrite.

biji_searchC

在Get笔记知识库中搜索，返回AI生成的答案和引用来源

Inputs: question (required), kb, deep_seek, with_refs.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

Loading tool schema changelog…

    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A3.7/5.0

    Scored across 3 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: biji_search returns AI-generated answers with citations, biji_recall returns raw content snippets ranked by relevance, and biji_list_kb lists configured knowledge bases. There is no overlap between these operations, so an agent can confidently choose the right tool based on whether it needs processed or raw results.

    Naming Consistency5/5

    All tool names follow the biji_ prefix and a simple verb pattern: search, recall, list_kb. This is consistent and predictable. The only minor deviation is that list_kb uses an underscore while the others are single verbs, but the overall convention is uniform.

    Tool Count5/5

    With 3 tools, the server is well-scoped for a knowledge base search service. Each tool serves a distinct need—AI search, raw recall, and KB discovery—without unnecessary extras. This is within the ideal 3-15 range and feels complete for its niche purpose.

    Completeness4/5

    The server covers the core functionality of searching and recalling knowledge base content, plus listing available KBs. A minor gap is the lack of a tool to retrieve metadata or browse specific documents within a KB, but that is beyond the primary search/recall workflow and can be worked around.

    Maintenance

    ActivityInactive
    ResponsivenessNo recent community issues

    Resources

    Related MCP Connectors

    Related MCP Servers