Respan Server

Model Context Protocol (MCP) server for Respan - access logs, prompts, traces, and customer data directly from your AI assistant.

Features

• Logs - Query, filter, and create LLM request logs
• Traces - View complete execution traces with span trees
• Customers - Access customer data and budget information
• Prompts - Manage prompt templates and versions

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Quick Start

Option 1: Public HTTP (Recommended)

No installation required.

1. Get your API key from platform.respan.ai

2. Add to your MCP config file:

Cursor (~/.cursor/mcp.json):

{
  "mcpServers": {
    "respan": {
      "url": "https://mcp.respan.ai/api/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_RESPAN_API_KEY"
      }
    }
  }
}

Claude Desktop (macOS: ~/Library/Application Support/Claude/claude_desktop_config.json):

{
  "mcpServers": {
    "respan": {
      "url": "https://mcp.respan.ai/api/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_RESPAN_API_KEY"
      }
    }
  }
}

3. Restart Cursor/Claude Desktop

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Option 2: Local Stdio

Run the MCP server locally for personal development or offline use.

Prerequisites: Node.js v18+

git clone https://github.com/Keywords-AI/keywordsai-mcp.git
cd keywordsai-mcp
npm install
npm run build

{
  "mcpServers": {
    "respan": {
      "command": "node",
      "args": ["/absolute/path/to/respan-mcp/dist/lib/index.js"],
      "env": {
        "RESPAN_API_KEY": "YOUR_RESPAN_API_KEY"
      }
    }
  }
}

---

Option 3: Private HTTP (Teams)

Deploy your own instance to Vercel for teams sharing a single deployment.

Deploy with Vercel

Set RESPAN_API_KEY in Vercel Dashboard > Settings > Environment Variables.

Share this config with your team:

{
  "mcpServers": {
    "respan": {
      "url": "https://your-project.vercel.app/mcp"
    }
  }
}

---

Available Tools

Logs

Tool	Description
list_logs	List and filter LLM request logs with powerful query capabilities
get_log_detail	Retrieve complete details of a single log by unique ID
create_log	Create a new log entry for any type of LLM request

Traces

Tool	Description
list_traces	List and filter traces with sorting and pagination
get_trace_tree	Retrieve complete hierarchical span tree of a trace

Customers

Tool	Description
list_customers	List customers with pagination and sorting
get_customer_detail	Get customer details including budget usage

Prompts

Tool	Description
list_prompts	List all prompts in your organization
get_prompt_detail	Get detailed prompt information
list_prompt_versions	List all versions of a prompt
get_prompt_version_detail	Get specific version details

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Filter Syntax

Tools that support filtering accept a filters object:

{
  "cost": {"operator": "gt", "value": [0.01]},
  "model": {"operator": "", "value": ["gpt-4"]},
  "customer_identifier": {"operator": "contains", "value": ["user"]},
  "metadata__session_id": {"operator": "", "value": ["abc123"]}
}

Operators: "" (equal), not, lt, lte, gt, gte, contains, icontains, startswith, endswith, in, isnull

---

Project Structure

respan-mcp/
├── api/
│   └── mcp.ts                # HTTP entry point (Vercel serverless function)
├── lib/
│   ├── index.ts              # Stdio entry point (local mode)
│   ├── shared/
│   │   └── client.ts         # API client, auth config, path validation
│   ├── observe/
│   │   ├── logs.ts           # list_logs, get_log_detail, create_log
│   │   ├── traces.ts         # list_traces, get_trace_tree
│   │   └── users.ts          # list_customers, get_customer_detail
│   └── develop/
│       └── prompts.ts        # list_prompts, get_prompt_detail, versions
├── vercel.json               # Vercel config (rewrites, function timeout)
├── tsconfig.json             # TypeScript config
└── package.json

Architecture

• Two entry points: api/mcp.ts (HTTP via Vercel) and lib/index.ts (stdio for local use)
• Shared core: Both entry points create an AuthConfig and pass it to the same tool registration functions via closures - no global mutable state
• Tool modules: Organized by domain (observe/ for runtime data, develop/ for prompt management)
• API client: lib/shared/client.ts handles all upstream API calls with 30s timeout, path validation, and auth

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Enterprise Configuration

For custom API endpoints, set the RESPAN_API_BASE_URL environment variable:

Stdio mode:

{
  "mcpServers": {
    "respan": {
      "command": "node",
      "args": ["/path/to/respan-mcp/dist/lib/index.js"],
      "env": {
        "RESPAN_API_KEY": "YOUR_API_KEY",
        "RESPAN_API_BASE_URL": "https://your-endpoint.example.com/api"
      }
    }
  }
}

Private deployment: Set RESPAN_API_BASE_URL in Vercel environment variables.

---

Local Development

npm run build        # Compile TypeScript
npm run watch        # Watch mode
npm run stdio        # Build and run in stdio mode

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Documentation

Full documentation at docs.respan.ai/documentation/resources/mcp

License

MIT