⚑Model Context Protocol (MCP) Official Portal

TalentMe Official MCP Guide & Configuration

Seamlessly bridge your IDE's AI Agent (Cursor / Claude Code / Cline / Antigravity) with TalentMe's cloud knowledge base and local Obsidian second brain via the Model Context Protocol (MCP).

🐈 GitHub Repo (talentme-mcp)Common CLI Commands βž”

Hybrid Cloud & MCP Flow

The cloud repository serves dynamically updated professional knowledge bases and Agent Skills. The local FastMCP server drives your local IDE (Cursor/Claude) offline without uploading your markdown vault.

☁️

Cloud Repository

Skills & Templates
β€’ Live Q&A Updatesβ€’ Advanced Prompt Library
⚑HTTPS API
πŸ’»

Local MCP Client

FastMCP Server
β€’ Local Database (memory.db)β€’ Strict Offline Mode Supported
⚑STDIO MCP
πŸ€–

IDE Integration

Cursor & Claude
β€’ Natural Language Promptingβ€’ Context-Aware Responses

πŸ›‘οΈ Your notes stay on your computer, forever.

TalentMe will never read, upload, or cache any of your local notes. The only optional upload is desensitized study statistics (e.g., "Reviewed 5 topics this week") to generate radars and heatmaps. It even works offlineβ€”MCP fully supports offline mode.

πŸ” Technical Details (Desensitization Flow)β–Ό

To ensure absolute privacy, background auto-uploads are strictly banned. Local stats are synced only via your clicks. The cloud server deletes the uploaded DB file immediately after updating telemetry aggregates.

πŸ’» Local User Environment
  • πŸ“„ markdown_notes/ (.md)
  • πŸ—„οΈ memory.db (Logs & Mastery)
  • πŸ”’ 100% Private (Never leaves local machine)
⚑ Local Sync via Port 8002
JSON Aggregates Only
β†’
☁️ Cloud Web Server (Port 8001)
  • πŸ“₯ Receives desensitized JSON
  • πŸ’₯ Temp DB deleted immediately post-parsing!
  • πŸ“Š Saved: Aggregates, Radars & Heatmaps

Diagnostic Dashboard Prototypes

High-fidelity diagnostic metrics help you track preparation gaps. Includes knowledge radars, GitHub contribution heatmap matrix, and double-linked node graph topology.

πŸ•ΈοΈ Mastery Radar Preview

TransformersRLCNNsLLMsMaths
Average Mastery score: 4.2 / 5.0

πŸ“… Activity Heatmap Preview

Consistent prep active check indicator.

πŸ•ΈοΈ Double-Link Knowledge Graph

AttentionBERTGPT-4NLPRNNSeq2SeqRLHF
Driven by local private Obsidian bidirectional graph.

TalentMe MCP Local-Cloud Bi-directional Toolchain Architecture

πŸ’»Your AI IDE (Cursor / Claude Code / Cline / Antigravity)
Intent Recognition & Tool Calling
↓
πŸ€–TalentMe MCP Server (talentme-mcp)20+ Built-in System Tools with Dual Memory Sync
πŸ—‚οΈ
πŸ—‚οΈ Local Wiki
Build structured notes, scan for dead links, and maintain wiki health.
☁️
☁️ Cloud Mastery Graph
Sync real-time progress, turning your coding history into structured data.
πŸ‘¨β€πŸ«
πŸ‘¨β€πŸ« Expert Coaching
Manage mock interview states and import expert rubrics for precise guidance.
πŸš€

Method 1: One-Click Installer Script (Recommended Bash)

We provide an automated installer script that handles environment validation, creates an isolated Python virtualenv to avoid polluting global packages, and guides you through database and IDE (Cursor/Claude Desktop) pairing.

Execute this command in your macOS / Linux terminal:
curl -fsSL https://talentme.airsota.com/install.sh | bash
The installer script will automatically:
  • Verify python3 >= 3.10 and git dependencies.
  • Install and compile the client inside a secure sandbox (~/.talentme_venv).
  • Prompt you to enter your registered email and License Key.
  • Automatically update Cursor and Claude Desktop config with absolute paths.
πŸ’‘ Windows or Manual PIP Install: On Windows or non-curl systems, you can directly run: pip install talentme-cli && talentme-cli setup
βš™οΈ

Method 2: Manual IDE Configuration (Alternative JSON)

If you are using extensions like Cline or prefer to manually control your config files, please refer to the guide below.

Step 1: Locate Config File

Open VSCode, find the MCP config option in the Cline extension settings, or directly edit the cline_mcp_settings.json file in your workspace root.

Step 2: Enter JSON Configuration

Paste the following configuration into the config file. Remember to replace YOUR_LICENSE_KEY with your TalentMe subscription key.

{
  "mcpServers": {
    "talentme": {
      "command": "talentme",
      "args": [
        "start"
      ],
      "env": {
        "TALENTME_EMAIL": "YOUR_ACCOUNT_EMAIL",
        "TALENTME_LICENSE_KEY": "YOUR_LICENSE_KEY",
        "TALENTME_MEMORY_PATH": "YOUR_LOCAL_MEMORY_PATH"
      }
    }
  }
}
πŸ’‘ Note: If your IDE shows 'spawn talentme ENOENT' (Command not found), this is because GUI apps do not inherit terminal paths. Please replace 'command' with the absolute path on your system, e.g., '~/.talentme_venv/bin/talentme' on macOS/Linux or 'C:\Users\YOUR_NAME\.talentme_venv\Scripts\talentme.exe' on Windows.

Step 3: Test Connection

Save the configuration and restart your IDE/client. Upon successful connection, you will see a hammer πŸ› οΈ icon above the Agent's prompt input box. Click it to see all available Tools provided by talentme.

Looking for CLI command reference?

View CLI Tools & Commands List β†’