Ollama MCP Bridge WebUI
O

Ollama MCP Bridge WebUI

一個連接本地LLM與MCP服務器的TypeScript橋樑項目,提供Web界面使開源模型能使用類似Claude的工具能力,支持文件系統、網絡搜索和複雜推理等功能。
2.5分
10.4K

What is Ollama-MCP Bridge?

The Ollama-MCP Bridge is a TypeScript application that connects locally running language models (through Ollama) with various Model Context Protocol (MCP) servers. It provides a web interface that allows you to interact with open-source AI models while giving them access to powerful tools like filesystem operations, web search, and reasoning capabilities - similar to what commercial AI assistants offer.

How to use the Bridge?

After installation, you can access the web interface where you can chat with your local AI model. The system will automatically determine when to use tools like file access or web search based on your questions. You don't need to manually select tools - the AI will handle this intelligently.

Use Cases

Ideal for: 1) Privacy-conscious users who want AI assistance without cloud services, 2) Developers needing local AI with tool access, 3) Researchers experimenting with open-source models, 4) Anyone wanting to extend local AI capabilities with web search and file access.

Key Features

Multi-MCP Integration
Connect and use multiple MCP servers simultaneously for different capabilities
Automatic Tool Detection
The system intelligently selects the right tool based on your queries without manual intervention
Web Interface
Clean, user-friendly interface with collapsible tool descriptions and conversation history
Comprehensive Toolset
Includes filesystem access, web search (via Brave), and advanced reasoning capabilities
Local Operation
Runs entirely on your hardware with optional internet connectivity only for web searches
Advantages
Privacy: Your data stays on your local machine
Flexibility: Combine different tools as needed
Cost-effective: No API fees for local model use
Customizable: Adjust configuration to your needs
Offline capable: Most features work without internet
Limitations
Requires decent hardware to run local models effectively
Web search requires a Brave API key (free tier available)
Local models may be less capable than commercial cloud options
Initial setup requires some technical knowledge

Getting Started

Automatic Installation
Run the automatic installation script for easiest setup
Manual Setup
If you prefer manual control, follow these steps:
Configuration
Edit the bridge_config.json and .env files to customize your setup
Running the Bridge
Start the bridge and access the web interface

Example Uses

Research Assistance
Find and summarize recent information on a topic
File Management
Work with local files through natural language
Complex Problem Solving
Break down multi-step problems

Frequently Asked Questions

What models are supported?
Do I need programming knowledge to use this?
How do I get a Brave API key?
Can I add my own tools?
Where are files stored?

Additional Resources

Ollama Documentation
Official documentation for Ollama
Model Context Protocol
MCP GitHub repository
Brave Search API
Sign up for Brave Search API keys
Qwen Model Info
Details about the Qwen language models

安裝

複製以下命令到你的Client進行配置
{
  "mcpServers": {
    "filesystem": {
      "command": "node",
      "args": [
        "To/Your/Directory/Ollama-MCP-Bridge-WebUI/node_modules/@modelcontextprotocol/server-filesystem/dist/index.js",
        "To/Your/Directory/Ollama-MCP-Bridge-WebUI/../workspace"
      ],
      "allowedDirectory": "To/Your/Directory/Ollama-MCP-Bridge-WebUI/../workspace"
    },
    "brave-search": {
      "command": "node",
      "args": [
        "To/Your/Directory/Ollama-MCP-Bridge-WebUI/node_modules/@modelcontextprotocol/server-brave-search/dist/index.js"
      ],
      "env": {
        "BRAVE_API_KEY": "$BRAVE_API_KEY"
      }
    },
    "sequential-thinking": {
      "command": "node",
      "args": [
        "To/Your/Directory/Ollama-MCP-Bridge-WebUI/node_modules/@modelcontextprotocol/server-sequential-thinking/dist/index.js"
      ]
    }
  },
  "llm": {
    "model": "qwen2.5-coder:7b-instruct-q4_K_M",
    "baseUrl": "http://localhost:11434",
    "apiKey": "ollama",
    "temperature": 0.7,
    "maxTokens": 8000
  },
  "systemPrompt": "You are a helpful assistant that can use various tools to help answer questions. You have access to three main tool groups: 1) Filesystem operations - for working with files and directories, 2) Brave search - for finding information on the web, 3) Sequential thinking for complex problem-solving. When a user asks a question that requires external information, real-time data, or file manipulation, you should use a tool rather than guessing or using only your pre-trained knowledge."
}
注意:您的密鑰屬於敏感信息,請勿與任何人分享。

替代品

V
Vestige
Vestige是一個基於認知科學的AI記憶引擎,通過實現預測誤差門控、FSRS-6間隔重複、記憶夢境等29個神經科學模塊,為AI提供長期記憶能力。包含3D可視化儀表板和21個MCP工具,完全本地運行,無需雲端。
Rust
4.8K
4.5分
M
Moltbrain
MoltBrain是一個為OpenClaw、MoltBook和Claude Code設計的長期記憶層插件,能夠自動學習和回憶項目上下文,提供智能搜索、觀察記錄、分析統計和持久化存儲功能。
TypeScript
5.3K
4.5分
B
Bm.md
一個功能豐富的Markdown排版工具,支持多種樣式主題和平臺適配,提供即時編輯預覽、圖片導出和API集成能力
TypeScript
4.9K
5分
S
Security Detections MCP
Security Detections MCP 是一個基於Model Context Protocol的服務器,允許LLM查詢統一的安全檢測規則數據庫,涵蓋Sigma、Splunk ESCU、Elastic和KQL格式。最新3.0版本升級為自主檢測工程平臺,可自動從威脅情報中提取TTPs、分析覆蓋差距、生成SIEM原生格式檢測規則、運行測試並驗證。項目包含71+工具、11個預構建工作流提示和知識圖譜系統,支持多SIEM平臺。
TypeScript
6.2K
4分
P
Paperbanana
PaperBanana是一個自動化生成學術圖表和統計圖的智能框架,支持從文本描述生成高質量的論文插圖,採用多智能體管道和迭代優化,提供CLI、Python API和MCP服務器等多種使用方式。
Python
6.3K
5分
B
Better Icons
一個提供超過20萬圖標搜索和檢索的MCP服務器和CLI工具,支持150多個圖標庫,幫助AI助手和開發者快速獲取和使用圖標。
TypeScript
6.0K
4.5分
A
Assistant Ui
assistant-ui是一個開源TypeScript/React庫,用於快速構建生產級AI聊天界面,提供可組合的UI組件、流式響應、無障礙訪問等功能,支持多種AI後端和模型。
TypeScript
7.7K
5分
A
Apify MCP Server
Apify MCP服務器是一個基於模型上下文協議(MCP)的工具,允許AI助手通過數千個現成的爬蟲、抓取器和自動化工具(Apify Actor)從社交媒體、搜索引擎、電商等網站提取數據。它支持OAuth和Skyfire代理支付,可通過HTTPS端點或本地stdio方式集成到Claude、VS Code等MCP客戶端中。
TypeScript
7.7K
5分
M
Markdownify MCP
Markdownify是一個多功能文件轉換服務,支持將PDF、圖片、音頻等多種格式及網頁內容轉換為Markdown格式。
TypeScript
31.6K
5分
B
Baidu Map
已認證
百度地圖MCP Server是國內首個兼容MCP協議的地圖服務,提供地理編碼、路線規劃等10個標準化API接口,支持Python和Typescript快速接入,賦能智能體實現地圖相關功能。
Python
38.0K
4.5分
F
Firecrawl MCP Server
Firecrawl MCP Server是一個集成Firecrawl網頁抓取能力的模型上下文協議服務器,提供豐富的網頁抓取、搜索和內容提取功能。
TypeScript
119.9K
5分
S
Sequential Thinking MCP Server
一個基於MCP協議的結構化思維服務器,通過定義思考階段幫助分解複雜問題並生成總結
Python
30.4K
4.5分
E
Edgeone Pages MCP Server
EdgeOne Pages MCP是一個通過MCP協議快速部署HTML內容到EdgeOne Pages並獲取公開URL的服務
TypeScript
24.1K
4.8分
M
Magic MCP
Magic Component Platform (MCP) 是一個AI驅動的UI組件生成工具,通過自然語言描述幫助開發者快速創建現代化UI組件,支持多種IDE集成。
JavaScript
20.4K
5分
C
Context7
Context7 MCP是一個為AI編程助手提供即時、版本特定文檔和代碼示例的服務,通過Model Context Protocol直接集成到提示中,解決LLM使用過時信息的問題。
TypeScript
80.4K
4.7分
N
Notion Api MCP
已認證
一個基於Python的MCP服務器,通過Notion API提供高級待辦事項管理和內容組織功能,實現AI模型與Notion的無縫集成。
Python
18.1K
4.5分
AIBase
智啟未來,您的人工智慧解決方案智庫
© 2026AIBase