python-memory-mcp-server
用于知识图谱管理的MCP服务器. python-memory-mcp-server is a Model Context Protocol (MCP) server maintained by evangstav. It connects to MCP-compatible clients such as Claude Desktop, Cursor, Cline, and other agents that speak the protocol. It exposes 9 tools, including get_entity, get_graph, create_entities, add_observation, create_relation, search_memory, delete_entities and delete_relation, that an agent can call directly. It is categorized under AI/KnowledgeGraph and Tool/Python.
什么是MCP
这是一个模型上下文协议（MCP）服务器，提供知识图谱功能，用于管理实体、关系和观察结果，并通过严格的验证规则保持数据一致性。
如何使用MCP
该服务器可通过CLI安装，并提供通过Python API调用管理知识图谱的工具，包括实体/关系创建、观察管理、图谱检索和记忆搜索操作。
MCP的用途
该MCP可用于构建和维护结构化知识图谱，组织关于人员、项目、文档和概念的信息，适用于AI记忆系统、知识管理和结构化数据组织等场景。
AIMCP authority
DR and traffic signal for the AIMCP public domain.
Frequently asked questions
What is the python-memory-mcp-server MCP server?
python-memory-mcp-server is a Model Context Protocol server from evangstav. It lets MCP-compatible AI clients call its tools over a standard interface, so agents like Claude, Cursor, and Cline can use it without custom integration.
How do I connect python-memory-mcp-server to my AI client?
Add python-memory-mcp-server to your client's MCP configuration using the stdio or SSE connection shown in the usage examples on this page, then restart the client to load the server.
What tools does python-memory-mcp-server provide?
python-memory-mcp-server provides 9 tools: get_entity, get_graph, create_entities, add_observation, create_relation, search_memory, delete_entities, delete_relation and flush_memory.
Is python-memory-mcp-server free to use?
python-memory-mcp-server is listed on AIMCP for free. Any API keys or accounts required by the underlying service are set by its provider.
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