Respan MCP Server
Enables AI assistants to access and manage Respan logs, traces, customers, and prompts for monitoring and management.
README
Respan MCP 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
Quick Start
Option 1: Public HTTP (Recommended)
No installation required.
-
Get your API key from platform.respan.ai
-
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"
}
}
}
}
- Restart Cursor/Claude Desktop
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.
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 |
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) andlib/index.ts(stdio for local use) - Shared core: Both entry points create an
AuthConfigand 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.tshandles all upstream API calls with 30s timeout, path validation, and auth
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
Documentation
Full documentation at docs.respan.ai/documentation/resources/mcp
License
MIT
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