Agentset + LibreChat: Complete MCP Integration

Agentset is a MCP server that RAG for your knowledge base connected to Agentset..

When integrated with LibreChat, you can:

• Search through indexed documents using RAG
• Retrieve specific document by ID
• Perform semantic search across knowledge base

This guide provides step-by-step instructions to set up Agentset in LibreChat, including configuration, examples, and troubleshooting.

What You'll Achieve

After completing this setup:

• Agentset will be fully integrated and operational
• You can use Agentset tools directly in LibreChat
• All Agentset capabilities will be available for your workflows
• Access to 4 different tools

Prerequisites

Before starting, ensure you have:

• API key from Agentset dashboard
• Namespace identifier for knowledge base
• LibreChat installed and configured
• Compatible operating system (Docker (Recommended), Kubernetes, Local Installation, Cloud Platforms)

Installation

Step 1: Install Agentset

Configuration

Step 2: Configure LibreChat

1. Open LibreChat settings
2. Navigate to MCP server configuration
3. Add Agentset server with appropriate settings
4. Save and restart if needed

Examples

Once configured, you can use Agentset in LibreChat:

Technical Documentation Search

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Ask LibreChat: "How do I configure SSL certificates in our system?"

Expected Result: undefined

Code Example Retrieval

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Ask LibreChat: "Show me examples of error handling in our codebase"

Expected Result: undefined

Policy and Procedure Lookup

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Ask LibreChat: "What's our deployment approval process?"

Expected Result: undefined

Testing Your Setup

1. Launch LibreChat
2. Verify Agentset is available in the tools list
3. Test basic Agentset functionality

Troubleshooting

Common Issues

MCP Server Not Connecting

Symptoms: Status shows "Disconnected" or "Error", Server not appearing in list, Connection timeout

Cause: Invalid configuration, missing dependencies, or server startup failure

Solution:

• Check librechat.yaml syntax is valid YAML
• Verify npx and Node.js are available (for stdio/command-based servers)
• Check server command and args are correct
• Review LibreChat logs for error messages: docker logs librechat
• Increase timeout value if server takes longer to initialize
• Ensure required ports are not blocked (for HTTP-based servers)

OAuth Authentication Failing

Symptoms: Status shows "OAuth Required", Redirect loop during auth, Token refresh errors

Cause: OAuth credentials not configured or redirect URLs incorrect

Solution:

• Verify OAuth clientId and clientSecret in librechat.yaml
• Check redirect URL is correctly set in OAuth provider settings
• Ensure authorizationUrl and tokenUrl are accessible
• Complete OAuth flow by clicking "Initialize" in MCP Settings panel
• Check browser console for OAuth-related errors

User Credentials Not Working

Symptoms: Prompts for credentials not appearing, Variables not substituted, Authentication errors

Cause: User credential variables incorrectly formatted or not entered

Solution:

• Use correct format: {{USER_VARIABLE_NAME}} in librechat.yaml
• Enter credentials through MCP Settings panel in UI
• Verify variable names match between config and UI
• Check credentials are saved per-user (not shared globally)

Tools Not Appearing in Chat

Symptoms: No tool dropdown available, MCP tools missing from interface, Server connected but tools unavailable

Cause: MCP server not properly integrated with chat endpoint or agent

Solution:

• Verify you are using an endpoint that supports MCP (not all models do)
• Check if Agent Builder is enabled and MCP tools are assigned to agent
• Restart chat session after adding new MCP servers
• Verify MCP server actually provides tools (some servers are resource-only)
• Check server logs to confirm tools are being discovered

Docker Deployment Problems

Symptoms: Container fails to start, Database connection errors, Port conflicts

Cause: Docker configuration issues or missing environment variables

Solution:

• Verify .env file is properly configured with all required variables
• Check MongoDB connection string is correct
• Ensure ports 3080 (frontend) and 3081 (backend) are available
• Run docker compose logs to view detailed error messages
• Verify Docker and Docker Compose versions meet minimum requirements

Performance Issues with MCP

Symptoms: Slow tool execution, Timeout errors, UI freezing during tool calls

Cause: Server timeout too short, inefficient MCP server, or network latency

Solution:

• Increase timeout values in librechat.yaml (both init and operation timeouts)
• Use HTTP transport instead of stdio for remote servers
• Monitor MCP server performance independently
• Consider caching for frequently accessed resources
• Use Streamable HTTP transport for production environments

Agentset not appearing in LibreChat

Symptoms: Server not listed, Tools not available

Cause: Configuration or installation issue

Solution:

• Verify configuration syntax
• Check Agentset installation
• Restart LibreChat
• Check logs for error messages

Next Steps

Now that Agentset is integrated with LibreChat:

• Explore all Agentset capabilities through LibreChat
• Check out other MCP servers that work with LibreChat
• Join the MCP community for tips and support
• Consider contributing to Agentset development

Need Help?

• Search for Agentset documentation
• Check the LibreChat MCP guide
• Join the MCP community discussions