Role Context MCP Server

Manages contextual boundaries for AI agents based on defined roles.

Local serverstdioTypeScript 1

What is the Role Context MCP server?

Connect Role Context to Claude, Cursor or any other MCP client and it stops being a tab you switch to. Manages contextual boundaries for AI agents based on defined roles. The role context mcp server is what makes that connection.

What the server does

A Model Context Protocol (MCP) server that defines and governs contextual boundaries based on agent roles in your system.

This MCP server enables role-based context management for AI agents, allowing you to:

Installation

Setup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client.

Available tools

The toolset is worth reading before you wire it up, because it tells you what the integration is really for:

  • process-with-role — Process a query using a specific role
  • create-role — Create a new role
  • update-role — Update an existing role
  • delete-role — Delete a custom role
  • change-role-tone — Change the tone of a role
  • store-memory — Store a memory for a specific role
  • clear-role-memories — Clear all memories for a role
  • Prerequisites — The Prerequisites tool exposed by this server
  • Installation — The Installation tool exposed by this server
  • Configuration — The server can be configured by modifying src/config.ts. Key configuration options include:
  • Resources — The Resources tool exposed by this server
  • Tools — The Tools tool exposed by this server

Credentials and setup notes

Configuration is passed through the environment: OPENAI_API_KEY. Treat anything key-shaped as a real credential — scope it to the minimum the server needs, and rotate it if it ever lands in a shared config.

  • Node.js 18+ - OpenAI API key

Worth knowing first

  • It runs with your machine's permissions. That is convenient and also the reason to think about what you point it at before you approve a tool call.
  • With 13 tools registered it takes up a noticeable share of the context window; turn it off in projects that never touch Role Context.
  • Missing credentials fail quietly in some clients — if no tools show up, check the environment block first.
  • Keep per-call confirmation enabled while you learn its behaviour; it is the cheapest safeguard you have.

Where it fits

Among the knowledge and memory options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. Role Context's toolset — process-with-role, create-role, update-role and 10 more — is a fair guide to whether it matches your workflow. It is maintained by Chris-June; worth a glance at recent repository activity before you build anything load-bearing on it.

SyncDev reviews every entry in this directory against the project's own documentation before publishing, and revisits them as servers change.

Available tools

ToolWhat it does
process-with-roleProcess a query using a specific role
create-roleCreate a new role
update-roleUpdate an existing role
delete-roleDelete a custom role
change-role-toneChange the tone of a role
store-memoryStore a memory for a specific role
clear-role-memoriesClear all memories for a role
PrerequisitesThe Prerequisites tool exposed by this server.
InstallationThe Installation tool exposed by this server.
ConfigurationThe server can be configured by modifying src/config.ts. Key configuration options include:
ResourcesThe Resources tool exposed by this server.
ToolsThe Tools tool exposed by this server.
PromptsThe Prompts tool exposed by this server.

Configuration

  • Node.js 18+ - OpenAI API key
VariableDescriptionRequired
OPENAI_API_KEYCredential the server authenticates with.Yes

Example prompts to try

  • Use Role Context to process-with-role.
  • Use Role Context to create-role.
  • Use Role Context to update-role.

Frequently asked questions

By providing role-specific contexts, Role Context prevents cross-contamination of information, improves accuracy, and allows you to tailor AI agent behavior to specific use cases.