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Byterovermemory Mcp

clauxel/byterover-team-memory-mcp

A hosted, paid endpoint that wraps OpenAI Codex memory capabilities into four JSON-RPC tools: recall, write, conflict checking, and receipt export. You authenticate with a bearer token, point your MCP client at the streamable HTTP transport, and get structured memory operations with usage logs and audit trails baked in. Reach for this if you need shared memory across AI coding sessions without hosting your own infrastructure, especially when you want receipts and conflict detection out of the box. The public server card and clear error messages suggest it's built for teams that need reproducible workflows and don't want to manage tokens or state themselves.

tools
4
auth
Required
transport
HTTP
last updated
May 25, 2026
View on GitHub

Tools

4 tools

Public tool metadata for what this MCP can expose to an agent.

memory_recall

No parameter schema in public metadata yet.

memory_write

No parameter schema in public metadata yet.

memory_conflict_check

No parameter schema in public metadata yet.

memory_receipt_export

No parameter schema in public metadata yet.

Sponsors

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Readme

ByteRover Team Memory

Hosted MCP for OpenAI Codex memory MCP.

ByteRover Team Memory is a paid remote MCP endpoint for OpenAI Codex memory MCP. It exposes structured JSON tools, a public server card, token-based access, usage receipts, and audit-ready workflow evidence for AI agents and coding teams.

Public Endpoints

Access

This is a paid hosted remote MCP. Production calls require a bearer token issued from the product website.

Authorization: Bearer <token>

Unauthenticated browser visits to /mcp return a clear JSON error instead of internal details.

Tools

  • memory_recall
  • memory_write
  • memory_conflict_check
  • memory_receipt_export

Quick Start

View the full README on GitHub

Details

Repository
github.com/clauxel/byterover-team-memory-mcp
Category
AI & LLM Tools
Transport
HTTP
Auth
Required
Registry
MCP registry, active

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