✨
OpenAI Agents SDK
Free
How to Install threadctx-mcp in OpenAI Agents SDK
Shared memory MCP server for AI coding agents. Works identically with Claude Code and Cursor — same package, same config
What threadctx-mcp does
threadctx is an MCP server that gives Cursor (and Claude Code) a memory: two tools, memory_write and memory_query, that your agent calls to record and recall project-specific learnings. Free and local-only by default — no signup, no network calls beyond your own LLM provider. Turn on the Team plan when you want that memory shared across everyone on the repo, with real semantic search instead of local keyword matching.
ai
ai agents
mcp
multi agent
productivity
Installation steps
- 1Install: pip install openai-agents
- 2Copy the snippet below into your agent code
- 3Replace placeholder env values with your real keys
- 4Pass mcp_servers=[mcp_server] to your Agent()
Python snippet
Python snippetpython
from agents import Agent
from agents.mcp import MCPServerStdio
mcp_server = MCPServerStdio(
command="npx",
args=["-y", "threadctx-mcp"],
)
agent = Agent(
name="My Agent",
model="gpt-4o",
mcp_servers=[mcp_server],
)Install in other clients
For maintainers
If you maintain threadctx-mcp, add this badge to your README to show it's verified on CuratedMCP:
[](https://www.curatedmcp.com/marketplace/threadctx-mcp)