incode-idv-mcp
MCP server for Incode IDV, providing identity verification tools for AI assistants.
MCP 服务配置
复制以下 JSON 到 OPClaw 或其他 MCP 客户端的配置文件中即可使用
{
"mcpServers": {
"@incodetech/incode-idv-mcp": {
"args": [
"@incodetech/incode-idv-mcp@1.0.5"
],
"command": "npx"
}
}
}
可用工具 (5 个)
该服务在 MCP 协议中暴露的工具,AI 可按需调用
tavily_search 14 个参数 需填 1 项
Search the web for current information on any topic. Use for news, facts, or data beyond your knowledge cutoff. Returns snippets and source URLs.
必填参数:query
tavily_extract 6 个参数 需填 1 项
Extract content from URLs. Returns raw page content in markdown or text format.
必填参数:urls
tavily_crawl 11 个参数 需填 1 项
Crawl a website starting from a URL. Extracts content from pages with configurable depth and breadth.
必填参数:url
tavily_map 8 个参数 需填 1 项
Map a website's structure. Returns a list of URLs found starting from the base URL.
必填参数:url
tavily_research 2 个参数 需填 1 项
Perform comprehensive research on a given topic or question. Use this tool when you need to gather information from multiple sources to answer a question or complete a task. Returns a detailed response based on the research findings.
必填参数:input
服务介绍
Incode IDV MCP Server
Powered by Incode Technologies — Global Leader in Identity Verification
Brand notice: The Incode name and logo are trademarks of Incode.
© Incode. All rights reserved. Not covered by this project's open-source license.
# About
An MCP (Model Context Protocol) server that integrates Incode's identity verification into AI assistants like Claude. Enable your AI to generate verification links, check session status, retrieve scores, and manage authentication tokens — all through natural language.
# Available Tools
The server provides five powerful tools for complete identity verification workflows:
| Tool | Description | Key Parameters | Returns |
|- -- -- -|- -- -- -- -- -- --|- -- -- -- -- -- -- -- -|- -- -- -- --|
| generate_interview_link | Create a new verification session | None (backend configured) | Interview ID & URL |
| get_interview_status | Check session progress | interviewId | Status & progress info |
| get_interview_score | Get verification results | interviewId | Score & detailed results |
| get_interview_token | Get JWT token on successful interview (15 min TTL) | interviewId | JWT access token |
| validate_token | Verify token validity | token | Validation result & claims |
# # generate_interview_link
Create a new identity verification session.
- Inputs: None (all values are configured on the backend)
- Returns: Interview ID and verification URL
# # get_interview_status
Check the current status of an identity verification session.
- Inputs:
interviewId(string): The interview ID returned fromgenerate_interview_link
- Returns: Current status and progress information
# # get_interview_score
Retrieve verification results and score for a completed session.
- Inputs:
interviewId(string): The interview ID returned fromgenerate_interview_link
- Returns: Verification result, score, and detailed information
# # get_interview_token
Get JWT token directly for successfully completed interviews (15-minute TTL).
- Inputs:
interviewId(string): The interview ID returned fromgenerate_interview_link
- Returns: JWT access token and metadata
# # validate_token
Validate JWT token and return claims.
- Inputs:
token(string): JWT token to validate
- Returns: Validation result and token claims if valid
# Verification Workflow
The typical identity verification workflow is straightforward and powerful:
graph LR
A[Generate Link] - -> B[Check Status]
B - -> C[Get Score]
C - -> D[Get JWT Token]
D - -> E[Validate Token]
style B stroke-dasharray: 5 5
style C stroke-dasharray: 5 5
# # Step-by-Step Process
| Step | Action | Tool | Purpose |
|- -- -- -|- -- -- -- -|- -- -- -|- -- -- -- --|
| 1 | Generate Link | generate_interview_link | Create verification URL for user |
| 2 | Check Status | get_interview_status | Monitor completion progress |
| 3 | Get Score | get_interview_score | Retrieve verification results |
| 4 | Get Interview JWT Token | get_interview_token | Obtain JWT token when succesful interview with results (15 min TTL) |
| 5 | Validate Token | validate_token | Verify JWT token is from valid interview |
# Quick Start
# # Get Your API Key 🔑
- Visit https://mcp-playground.labs.incode.com/
- Sign up for an account
- Verify your email and retrieve your API KEY
# # Install & Configure
Add this to your claude_desktop_config.json:
{
"mcpServers": {
"incode-idv": {
"command": "npx",
"args": ["-y", "@incodetech/incode-idv-mcp"],
"env": {
"API_KEY": "YOUR_API_KEY_HERE"
}
}
}
}
Tip: Replace
YOUR_API_KEY_HEREwith your actual API key from step 1
# # Configure Claude Desktop
- Open Claude Desktop App
- Navigate to Settings
- Go to Developer tab
- Click Edit Config
- Add the configuration above with your API_KEY
- Restart Claude Desktop to load the new MCP server. Ensure MCP server is enabled.
# # Verify Installation
After restarting Claude Desktop, ask Claude:
"Can you generate an identity verification link?"
If configured correctly, Claude will use the MCP server to create a verification session!
# 🔧 Troubleshooting
Having issues? Here's how to get back on track:
# # Common Issues
# # Debugging Tools
For advanced debugging and troubleshooting:
- [View Claude Desktop Logs](https://modelcontextprotocol.io/legacy/tools/debugging# viewing-logs) — Check detailed error messages
- MCP Debugging Guide — Comprehensive troubleshooting steps
- Test API Key — Try the API key directly on mcp-playground.labs.incode.com
# # Get Help
# License
This project is licensed under the MIT License — free to use, modify, and distribute.
See the LICENSE file for full details.
# # Developed by Incode Technologies
Website • Documentation • GitHub • npm • Other Docs
Transforming identity verification with AI-powered solutions