Role-Specific Context
Role-Context MCP Server enables AI assistants to maintain distinct expert personas through role-based context management. It provides tools for creating and managing specialized roles (like Marketing Expert or Songwriter), each with its own memory, tone, and domain expertise. The implementation features a memory management system with vector search capabilities for retrieving relevant context, real-time context switching based on triggers, and integration with OpenAI's GPT-4o-mini model. Particularly valuable for applications requiring consistent AI personalities across different domains without context bleed between roles.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-19.
Scan details: Circle-IR · 2026-09-19 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- ai-ml
- Source
- PulseMCP
- Repository
- github.com/chris-june/mcp-server
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve Role-Specific Context from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.