MCPBinder

A shared workspace for people and AI agentSoftware that uses AI to work toward a goal, choose steps, and use tools to carry them out. For example, an agent can look up project context and draft a task plan.Read more about AI agentAI agents (Software that uses AI to work toward a goal, choose steps, and use tools to carry them out. For example, an agent can look up project context and draft a task plan.).

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The brief

MCPBinder keeps project context, tasks, files, and decisions in a shared workspace. People and their AI agentSoftware that uses AI to work toward a goal, choose steps, and use tools to carry them out. For example, an agent can look up project context and draft a task plan.Read more about AI agentAI agents (Software that uses AI to work toward a goal, choose steps, and use tools to carry them out. For example, an agent can look up project context and draft a task plan.) can return to the same record as the work develops.

People manage projects through lists and boards. Agents connect through MCP · Model Context ProtocolA standard way for an AI application to connect to tools and data. It defines how they communicate; each service still controls what the connection can access.Read more about MCP · Model Context ProtocolMCP (A standard way for an AI application to connect to tools and data. It defines how they communicate; each service still controls what the connection can access.) (Model Context Protocol) to read context, plan tasks, record decisions, and work on assignments. People choose the connection’s permissions, and each change shows who made it.

Use MCPBinder in practice

Write down the project context
Start with the goal, constraints, decisions, and next actions. Add tasks and the files the project needs, so a person or agent can return to the same record.
Choose an agent’s access
Connect a supported MCP · Model Context ProtocolA standard way for an AI application to connect to tools and data. It defines how they communicate; each service still controls what the connection can access.Read more about MCP · Model Context ProtocolMCP (A standard way for an AI application to connect to tools and data. It defines how they communicate; each service still controls what the connection can access.) client and choose its workspace, projects, and permitted actions. Reading context, changing tasks, and using connected services are separate permissions.
Assign work and review the result
Give the agent a task, inspect its updates or proposals, and record the decision with the project. Comments and revision history retain who changed what. Set a recurring task when the work needs to happen again.

Read how Austin built MCPBinder

What makes it useful

Keep the context with the work

Keep project goals, constraints, decisions, tasks, and tracked files in one place.

Give agents a place on the team

Assign tasks, share updates, and record decisions through a connection that works with supported MCP · Model Context ProtocolA standard way for an AI application to connect to tools and data. It defines how they communicate; each service still controls what the connection can access.Read more about MCP · Model Context ProtocolMCP (A standard way for an AI application to connect to tools and data. It defines how they communicate; each service still controls what the connection can access.) clients.

Track recurring work

Recurring tasks and configurable workflows organize ongoing work. Revision history and comments show who changed what.

Access that people choose

People choose the workspace, projects, and actions an agent can access. Connections can expire or be revoked, and proposed changes can be reviewed before they are applied. Access to connected services is granted separately from access to the workspace.