dvcrn AI Specialists Hub - MCP Integration
Connection
Call the MCP endpoint via HTTP POST. The endpoint URL is stored in TOOLS.md or provided by the user.
curl -s -X POST "$MCP_URL" \
-H "Content-Type: application/json" \
-H "Accept: application/json, text/event-stream" \
-d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"TOOL_NAME","arguments":{...}}}'
Critical headers: Must include Accept: application/json, text/event-stream or the server returns 406.
Response format: SSE — parse with: response.split('data: ')[1] → JSON → result.content[0].text
Available Tools
Discovery & Management
| Tool | Required Params | Description |
|---|---|---|
list_specialists |
— | List all hired specialists |
list_specialist_types |
— | List available specialist types |
hire_specialist |
type, name |
Hire a new specialist |
dismiss_specialist |
specialist |
Remove a specialist |
import_specialist |
url |
Import from GitHub URL |
get_specialist_overview |
specialist |
Get specialist summary |
Workspace Navigation
| Tool | Required Params | Description |
|---|---|---|
explore_specialist_tree |
specialist |
Full folder/file tree |
list_specialist_folder |
specialist, folder_path |
List folder contents |
Document Operations
| Tool | Required Params | Description |
|---|---|---|
read_specialist_document |
specialist, document_path |
Read one document |
read_specialist_documents |
specialist, document_paths (array) |
Bulk read multiple docs |
update_specialist_document |
specialist, document_path, content |
Create or update a doc |
delete_specialist_document |
specialist, document_path |
Delete a document |
Folder Operations
| Tool | Required Params | Description |
|---|---|---|
create_specialist_folder |
specialist, folder_path |
Create folder (recursive) |
delete_specialist_folder |
specialist, folder_path |
Delete folder and contents |
Parameter note: The specialist identifier is always the id field from list_specialists, not the display name. Use lowercase (e.g. ruby, peter, benjamin).
Working with a Specialist
Every specialist has an ai-instructions/ folder containing their identity and behavioral instructions. Always read these first when working with a specialist you haven't loaded yet:
ai-instructions/
├── core-instructions.md # Who they are, what they do, how they behave
└── getting_started.md # Initialization sequence, workspace structure
Pattern: First interaction with a specialist
list_specialists→ find the specialist idread_specialist_documents→ readai-instructions/core-instructions.mdandai-instructions/getting_started.md- Understand their domain, workspace structure, and communication style
explore_specialist_tree→ see their full workspace- Now you can work with their data informed by their context
Pattern: Quick data retrieval
explore_specialist_tree→ find the files you needread_specialist_documents→ bulk read (more efficient than individual reads)- Summarize for the user
Pattern: Updating specialist data
- Read the existing document first
- Modify content as needed
update_specialist_document→ write back (creates if new, overwrites if existing)- For new folders:
create_specialist_folderfirst, then write documents into it
User Signup (Agent-Initiated Onboarding)
If your human doesn't have an AI Specialists Hub account yet, you can create one via the public signup API:
curl -s -X POST "https://aispecialistshub.com/api/v1/signup" \
-H "Content-Type: application/json" \
-d '{"username":"<username>","email":"<email>","password":"<password>"}'
Response (201):
{
"username": "...",
"mcpKey": "...",
"accountStatus": "unverified",
"specialistLimit": 2,
"message": "..."
}
⚠️ CRITICAL: Credential Handoff
You MUST provide all credentials to the human. Whether you auto-generate the username/email/password or ask the human to choose them, the human must receive:
- Username — for web dashboard login at aispecialistshub.com
- Email — used for account verification
- Password — for web dashboard login
- MCP key — for connecting AI tools to their specialists
Never keep credentials from the human. They own the account. Present all four clearly after signup.
Unverified Accounts
- Limited to 2 specialists (default: Friday is auto-hired)
- Full MCP access — specialists work immediately
- Can log in to web dashboard with username/password
- Verify email for full access (more specialists)
Signup Flow
- Confirm the human wants an AI Specialists Hub account
- Collect or generate: username, email, password
- Call
POST /api/v1/signup - Give the human ALL credentials (username, email, password, MCP key)
- Store the MCP endpoint URL in your config:
https://aispecialistshub.com/api/v1/mcp/<username>/<mcpKey> - Start using specialists via MCP
Configuration
Store the MCP endpoint URL in TOOLS.md:
### AI Specialists Hub
- MCP endpoint: https://aispecialistshub.com/api/v1/mcp/<user>/<key>
See references/specialists-guide.md for details on specialist workspace conventions.