OnlyMCP: One MCP Server to Unify Your Memory, Skills, and Agents

AI workflows are often locked to a single device: switch computers, and the skills, agents, and memory in Claude Code and Cursor all have to be reconfigured. OnlyMCP's idea is to put these assets behind a single MCP server, connecting all clients and devices with one connection.

From "Reinstall on Every Device" to "Connect Once, Use Everywhere"

According to a YouTube channel's introduction to the product, OnlyMCP's core proposition can be summed up in one sentence: One MCP, every device. It doesn't try to replace clients like Claude Code, Codex, Cursor, or ChatGPT—instead, it sits beneath them as a unified access layer.

Users only need to connect to the server once, and afterward, no matter which client they invoke agents from, tools can be accessed through OnlyMCP. The scenario emphasized in the video is concrete: your AI workspace is no longer tied to a single machine, and new devices don't need to be set up from scratch.

MCP (Model Context Protocol) is an open protocol proposed by Anthropic in late 2024 to let AI applications connect to external tools, data sources, and services in a standardized way. It uses a client-server architecture: host applications like Claude Code and Cursor act as MCP clients, communicating with MCP servers through a unified JSON-RPC interface, while servers expose specific tools, resources, and prompt templates. Before MCP, every AI client had to write its own adapter code to connect to the same tool; MCP's value lies in turning "tool integration" from point-to-point integration into implement-once, reuse-everywhere—which is also the premise that makes unified access layers like OnlyMCP viable.

Three Asset Types: Skills, Agents, and Memory

OnlyMCP categorizes the content that needs cross-device sync into three types. This isn't simple cloud-drive-style backup—it's a design with contextual relationships.

Skills and Agents

Skills and agents are callable on every machine, which is the most intuitive cross-device capability. Video screenshots show users can see their skills and agents on any device. For developers who habitually switch between multiple clients, this saves the cost of repeated configuration.

Memory with Linked Relationships

The memory component is one of OnlyMCP's more distinctive designs. According to the video, what agents learn is written into memory and linked to the content it touches. This means memory isn't isolated text fragments but a knowledge network with relational structure, which in theory is better for later retrieval and reuse. However, the materials don't disclose the specific storage format, retrieval mechanism, or capacity limits of this memory system.

Memory with linked relationships typically corresponds technically to knowledge graphs or bidirectional-link storage: each memory entry is a node, entries are connected by explicit references to form edges, and retrieval can expand along edges to recall semantically related rather than literally similar context. Compared to slicing conversation history into a vector database, this structure better expresses "which task a piece of experience came from and which tools or projects it relates to," but the cost is additional extraction and maintenance logic—and as nodes grow, link quality directly affects retrieval accuracy. This is also a point worth probing when evaluating OnlyMCP's memory design.

A Unified Entry Point for Tool Invocation

Another layer of OnlyMCP's value lies in access management for MCP servers. According to the video, users only need to connect the server once, and agents can invoke their tools from anywhere.

This addresses a real pain point for multi-client users: different clients have different format and location requirements for MCP configuration, and maintaining them one by one is error-prone. Centralizing connections into one entry point at least reduces the risk of configuration drift. That said, it should be noted that the video doesn't provide performance details or protocol compatibility specifics for concurrent multi-client connections.

Security Model: Visible Sessions, Revocable Permissions

Cross-device access inevitably raises authorization questions. OnlyMCP's approach is to set up one-time code confirmation for new devices: when a new device logs in, it needs a user-confirmed code.

At the same time, every session and every device is listed, and users can revoke any one of them. This "visible means controllable" design philosophy aligns with mainstream device management practices, and for users hosting memory and agents on remote servers, audit and revocation capabilities are a necessary security baseline.

One-time code confirmation is a common new-device authorization pattern: a user on an already-trusted device sees a short-lived verification code, and entering it on the new device completes the binding. Its security significance lies in giving the decision of "whether to allow a new device to connect" to the authenticated user themselves, rather than relying solely on account credentials—thereby mitigating silent access caused by credential leaks. Combined with session lists and single-point revocation, this forms a closed loop of "least privilege + auditable + revocable," which belongs to the same category of practices as OAuth device authorization flows and mainstream password managers' device management logic.

A Few Things Worth Watching

From a product positioning perspective, OnlyMCP targets a new problem that has emerged with the spread of AI coding tools: asset fragmentation. When skills, prompts, memory, and MCP configurations are scattered across multiple devices and multiple clients, migration costs rise as usage deepens.

But currently, public information remains at the concept-demo level. The video doesn't explain where data is stored, whether end-to-end encryption is used, how exactly it integrates with each client, or disclose pricing and open-source status. For privacy-conscious teams, whether hosting memory and skills on third-party servers is acceptable will need to wait for more detailed technical documentation.

If your daily routine involves switching back and forth between Cursor, Claude Code, and ChatGPT, and you frequently change devices, OnlyMCP's unified-layer approach is worth following; if you only use a single client on a single device, the current benefits may not be obvious.

One-line Summary

OnlyMCP uses a unified MCP server to let skills, agents, and memory be shared across clients and devices.

Paragraph Summary

OnlyMCP proposes the "One MCP, every device" idea, attempting to solve the problem of AI workflows being locked to a single device. It doesn't replace clients like Claude Code, Codex, Cursor, or ChatGPT, but serves as a unified access layer beneath them—after connecting to the server once, skills, agents, and memory can be invoked on any client and device. Memory is linked to the content it touches, forming a knowledge network with relational structure rather than isolated text. Tool invocation is also centralized into one entry point, reducing the risk of configuration drift across multiple clients. On security, it uses one-time code confirmation for new devices, visible session and device lists, and revocation at any time. However, public information remains at the concept-demo level, with storage location, encryption method, integration details, and pricing all undisclosed.