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PostgMem MCP Server

@dariogriffo

代码仓库

基本信息

分类

其他

许可证

MIT

传输方式

stdio

作者

dariogriffo

关于 PostgMem MCP Server

MCP server to store memories in postgres

PostgMem MCP Server 配置

暂无标准配置

该服务器的 README 中没有可解析的 MCP 配置块，请前往代码仓库查看安装说明。

代码仓库

PostgMem MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is PostgMem?

PostgMem is a .NET-based MCP (Model Context Protocol) server that provides vector memory storage using PostgreSQL with the pgvector extension. It allows AI agents to store, retrieve, and search through memories using vector embeddings for efficient similarity search.

How to use PostgMem?

Ensure .NET 9.0 SDK, a PostgreSQL database with pgvector installed, and a text embedding API (default is Ollama) are available. Create the required memories table, configure the .env file with connection string and embedding settings, then run dotnet run in the PostgMem directory. The server starts at http://localhost:5000 by default.

Key features of PostgMem

  • Store structured memories with vector embeddings
  • Retrieve memories by ID
  • Semantic search using vector similarity
  • Filter search results with tags
  • MCP integration for easy use with AI agents

Use cases of PostgMem

  • Store and retrieve conversation memories with tags
  • Store and retrieve document memories with tags
  • Semantic search over memories with similarity threshold and tag filtering
  • Delete specific memories by ID

常见问题

1

What are the prerequisites to run PostgMem?

You need .NET 9.0 SDK, a PostgreSQL database with the pgvector extension installed, and a text embedding API (the default configuration uses Ollama).

2

How do I configure the embedding API and database connection?

Set the `ConnectionStrings__Storage`, `Embeddings__ApiUrl`, and `Embeddings__Model` environment variables in a `.env` file. The embedding API URL defaults to `http://localhost:11434/`.

3

What MCP tools does PostgMem provide?

It provides four tools: Store (store a new memory), Search (search by similarity), Get (retrieve by ID), and Delete (delete by ID). Each accepts specific parameters documented in the README.

4

What database schema is required?

A `memories` table must be created with columns: `id` (UUID), `type` (TEXT), `content` (JSONB), `source` (TEXT), `embedding` (VECTOR(384)),

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