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2025-04-11

MCP服务器用于连接您的类型ensense集合并使用您喜欢的MCP客户端(Claude/ Cursor)检索数据

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Tacitbase MCP Server

This is a Machine Comprehension Protocol (MCP) server for Tacitbase that provides advanced search capabilities using both Tacitbase's native search and Typesense for enhanced search features.

Project Structure

The project follows a clean, modular architecture:

.
├── models/      # Data structures and types
├── services/    # Business logic and external service interactions
├── handlers/    # Request handlers and routing logic
├── tools/       # Tool registration and configuration
├── main.go      # Application entry point
└── README.md    # Project documentation

Packages

  • models: Contains all data structures and types used across the application
  • services: Implements the business logic and external service interactions
  • handlers: Contains the request handlers that process incoming requests
  • tools: Registers the tools available for searching candidates

Features

  • Basic keyword search with filtering and sorting
  • Vector search for similarity-based matching
  • Semantic search with natural language understanding
  • Fallback to Tacitbase's native search when needed
  • Tool registration for searching candidates

Search Tools

1. Basic Search (search_candidates)

  • Keyword-based search with typo tolerance
  • Supports field-specific search
  • Filtering and sorting capabilities
  • Group by functionality
  • Exact matching option

2. Vector Search (vector_search_candidates)

  • Similarity search using vector embeddings
  • Ideal for finding candidates with similar profiles
  • Supports hybrid search combining vectors with filters

3. Semantic Search (semantic_search_candidates)

  • Natural language understanding
  • Automatic embedding generation
  • Support for multiple embedding models (OpenAI, SBERT, E5)
  • Hybrid search combining semantic understanding with filters

Configuration

Environment Variables

  • TACITBASE_AUTH_TOKEN: Authentication token for Tacitbase API
  • TYPESENSE_API_KEY: API key for Typesense
  • TYPESENSE_HOST: Typesense host (default: localhost)
  • TYPESENSE_PORT: Typesense port (default: 8108)
  • TYPESENSE_PROTOCOL: Protocol for Typesense (default: http)

Installation

  1. Install dependencies:
go mod download
  1. Build the server:
go build -o tb-mcp-server
  1. Run the server:
./tb-mcp-server

Example Usage

Basic Search

{
  "query": "golang developer",
  "search_fields": "skills,latest_experience",
  "filter_fields": "location:San Francisco",
  "sort_by": "latest_experience:desc",
  "page": 1,
  "per_page": 20
}

Vector Search

{
  "vector_query": "[0.1, 0.2, ..., 0.512]",
  "filter_fields": "years_of_experience:>5",
  "page": 1,
  "per_page": 20
}

Semantic Search

{
  "query": "experienced team lead with cloud architecture background",
  "embedding_model": "openai",
  "filter_fields": "years_of_experience:>8",
  "page": 1,
  "per_page": 20
}

Development

To modify or extend the server:

  1. Edit main.go to add new tools or modify existing ones
  2. Run tests (if any)
  3. Build and test the server

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    Reviews

    5 (1)
    Avatar
    user_AH5DGWGy
    2025-04-16

    I've been using the typesense-mcp-server by sourabh-khot65, and it's been amazing. The server's seamless integration with MCP applications and its efficient search capabilities have greatly improved my project's performance. The clear documentation and ease of setup make it a solid choice for developers looking for a reliable search solution. Highly recommend checking it out via the provided GitHub link!