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Having trouble with Synta MCP? This guide covers the most common issues and how to resolve them.

Common Issues

If your AI client isn’t calling Synta MCP tools or seems unaware of the MCP connection:

Solution

  1. Explicitly Mention Synta MCP in Your Prompt Try using a prompt like this:
    Use synta-mcp to search for the Slack node in n8n
    
    This explicitly tells the AI to use the Synta MCP tools.
  2. Restart Your AI Client
    • Completely quit your AI client (don’t just close the window)
    • Reopen the application
    • Start a new conversation/chat
  3. Start a Fresh Chat
    • Previous conversations may have context that doesn’t include MCP awareness
    • Create a new chat window/conversation
    • Try your request again with explicit mention of synta-mcp
  4. Verify MCP Connection
    • Check your MCP configuration is still active
    • Look for MCP indicators in your client (e.g., tool icons, MCP badge)
    • If the connection appears inactive (e.g. A red status icon on Cursor), restart your client or reconfigure following the installation steps

Why This Happens

AI clients may not always automatically use MCP tools unless explicitly prompted, especially in existing conversations or after updates.
ChatGPT’s MCP integration can be buggy and may not connect on the first try.

Solution

  1. Delete the MCP app from ChatGPT settings
  2. Re-create the app following the installation steps
  3. Repeat the process 3-5 times if it doesn’t work initially
  4. This is a known ChatGPT limitation, not a Synta issue

Why This Happens

ChatGPT’s MCP implementation is relatively new and can have intermittent connection issues. Retrying the setup process typically resolves the issue.

Note

ChatGPT only supports OAuth authentication (no API key option). This requires a Pro, Plus, Business, Enterprise or Education paid plan.
After successfully connecting Synta MCP to ChatGPT, you may experience instability where the MCP connection becomes “gone” or tools return “Resource not found” errors during a session.

Common Symptoms

  • Tools work initially, then suddenly fail with “Resource not found”
  • ChatGPT reports the MCP link is “gone” mid-conversation
  • Tools like n8n_get_workflow or n8n_update_partial_workflow stop working
  • Connection appears to drop without warning

Solution

Use Vanilla Chat Instead of Projects:
  1. Do NOT use ChatGPT Projects for Synta MCP
  2. Use regular chat conversations (vanilla chat) instead
  3. The MCP connection is more stable in standard chat mode

Why This Happens

ChatGPT’s MCP support is currently flaky and unreliable, especially within Projects. The connection works better in standard chat conversations. This is a known ChatGPT limitation.

Alternative Recommendation

For more stable MCP connections, consider using:
  • Cursor - Excellent MCP support with OAuth or API key
  • Claude Desktop - Native MCP support, very stable
  • Claude Code - CLI-based, reliable MCP integration
See the Installation page for setup instructions for these alternatives.
If you’re getting authentication or authorization errors:

Solution

  1. Verify Synta API Key
    • Ensure you copied the full API key from synta.io/mcp
    • Check for extra spaces or newlines
    • Make sure the key starts with the correct format
  2. Check N8N Credentials
    • Verify your N8N instance URL is accessible
    • Test your N8N API key in a browser or API client
    • Ensure the API key has the correct permissions
  3. Verify N8N Login Credentials (for self-healing tools)
    • Check X-N8n-Login-Email is set to your n8n account email
    • Check X-N8n-Login-Password is set to your n8n account password
    • Required for n8n_trigger_execution and n8n_manage_pindata
    • Make sure the credentials are correct and the account has appropriate permissions
  4. Update Configuration
    • Replace credentials in your config file
    • Restart your AI agent after updating
If the MCP server disconnects during operations or times out:

Common Causes

  • Long-running operations (large workflows, many templates)
  • Network instability
  • Server timeout settings
  • Resource-intensive tool calls

Solution

  1. Break Down Large Operations
    • Search templates in smaller batches (use limit parameter)
    • Process workflows one at a time instead of bulk operations
    • Use pagination with cursor for large result sets
  2. Use Faster Tool Variants
    • Use get_node with detail: "minimal" for quick property checks
    • Use validate_node with mode: "minimal" instead of full validation
    • Use get_template with mode: "nodes_only" for quick previews
  3. Increase Timeout Settings
    • Check your MCP client’s timeout configuration
    • Some operations like n8n_trigger_execution may need longer timeouts
  4. Restart the Connection
    • Clear npx cache: rm -rf ~/.npm/_npx
    • Restart your AI agent
    • Verify network stability
  5. Check Tool Parameters
    • Ensure limit parameters are reasonable (avoid requesting 1000+ items)
    • Avoid includeConfigExamples in get_node unless needed
    • Disable expensive options like includeTypeInfo unless needed
If workflows fail to execute or webhook triggers don’t work:

Choose the Right Tool

n8n_trigger_execution:
  • Requires N8N login credentials (X-N8n-Login-Email, X-N8n-Login-Password)
  • Supports all trigger types: Manual, Chat, Webhook, Form
  • AI automatically detects errors and suggests fixes (self-healing)
  • Full execution data for debugging
  • Works with n8n_manage_pindata for testing
n8n_test_workflow:
  • External testing for activated workflows
  • Supports: Webhook, Form, Chat triggers
n8n_manage_pindata:
  • Requires N8N login credentials (X-N8n-Login-Email, X-N8n-Login-Password)
  • Save mock data for any node and reuse in test runs
  • Test webhooks/forms without sending real requests
  • Skip API calls during development with saved responses
  • Modes: addPinData, updatePinData, removePinData, readPinData

Common Solutions

  1. Activate Workflow (for n8n_test_workflow)
    {
      "id": "workflow-id",
      "operations": [
        {"type": "updateSettings", "settings": {"active": true}}
      ]
    }
    
  2. Verify Trigger Configuration
    • Workflow has a valid trigger node
    • Webhook path is correctly configured
    • Chat triggers have a valid chatMessage
  3. Debug Failed Executions
    // Get error details
    n8n_manage_executions({action: "get", id: "exec-id", mode: "error"})
    
    // Trace multi-workflow chains
    n8n_manage_executions({action: "correlate", executionId: "exec-id"})
    
    // Re-run failed execution
    n8n_manage_executions({action: "retry", id: "exec-id"})
    
If you can list tools but tool execution fails with errors like:
  • Failure in MCP tool execution: connection closed: calling "tools/call": client is closing: standalone SSE stream: failed to decode event: unmarshaling jsonrpc message: unexpected end of JSON input
  • Failure in MCP tool execution: connection closed: calling "tools/call": client is closing: EOF
  • mismatching session IDs

Solution

  1. Remove and re-add the MCP server in Antigravity
    • Go to Antigravity settings → MCP Servers
    • Remove the Synta MCP server completely
    • Close Antigravity entirely (not just the conversation)
    • Reopen Antigravity and re-add the server
  2. Use the correct configuration format
    {
      "mcpServers": {
        "synta": {
          "type": "streamable-http",
          "serverUrl": "https://mcp.synta.io/mcp"
        }
      }
    }
    
    Setting "type": "streamable-http" explicitly tells Antigravity to use the correct transport protocol.
  3. If errors persist after re-adding, start a new conversation in Antigravity. The previous conversation may have cached stale session state.

Why This Happens

Antigravity’s MCP client caches session state internally. When a session becomes stale (e.g., after a server update or network interruption), the cached session is never revalidated. This is a known Antigravity/ADK issue. Removing and re-adding the server forces a fresh connection that bypasses the stale cache.
After a Claude Desktop update, all Synta MCP tools may be discovered (appear in the tool list with full schemas) but every call returns:
“This tool has been disabled in your connector settings.”
This only affects Cowork mode — the same setup works fine in standard Claude Chat.

Why This Happens

Claude Desktop now requires MCP server IDs to be either a UUID or a mcpsrv_* prefixed string. The default server name synta-mcp doesn’t match this format, so Cowork discovers the tools but blocks execution. The actual error (Invalid server ID format. Expected UUID or mcpsrv_* tagged ID.) only surfaces when you attempt to uninstall the connector — making this particularly hard to debug.

Fix

  1. Go to ClaudeSettingsConnectors
  2. Find the Synta MCP connector and click Delete to remove it
  3. Click Add custom connector and re-add it with the updated name: Name:
    mcpsrv_synta
    
    Remote MCP server URL:
    https://mcp.synta.io/mcp
    
  4. Authenticate with the same account you used at synta.io
  5. Restart Claude Desktop (Cmd+Q, then reopen)
If workflow nodes appear as “Unknown” on the canvas:

Why This Happens

Your n8n instance doesn’t recognize the node types in the workflow. This typically occurs when:
  • The workflow uses nodes from a newer n8n version
  • Community nodes are not installed
  • Node packages are missing or outdated

Solution

  1. Update n8n to Latest Version
    • Check your current version in SettingsAbout n8n
    • Update to the latest version:
    n8n Cloud: Automatically updated, contact support if issues persist Self-hosted: Follow your hosting provider’s instructions for updating n8n (Docker, npm, etc.)
  2. Install Missing Community Nodes
    • Go to SettingsCommunity nodes
    • Search for and install any missing community nodes
    • Restart n8n after installation
  3. Check Node Compatibility
    • Some nodes may be deprecated or renamed in newer versions
    • Use n8n_autofix_workflow to automatically update node types
    • Review the workflow and replace deprecated nodes with current alternatives
This error occurs when npm’s cache has corrupted packages for npx.

Solution

Clear the npx cache and try again:
rm -rf ~/.npm/_npx
After clearing the cache, restart your AI client.

Why This Happens

The npx cache can sometimes store incomplete or corrupted package installations. Clearing it forces a fresh download of all required packages.
If you can’t find your MCP configuration file, you may need to create it manually.

Solution by Client

Cursor:
mkdir -p ~/.cursor && touch ~/.cursor/mcp.json
Claude Desktop:
mkdir -p ~/Library/Application\ Support/Claude
touch ~/Library/Application\ Support/Claude/claude_desktop_config.json
After creating the file, add your configuration from the Installation page.
If Codex shows startup timeout errors when connecting to Synta MCP:

Solution

Codex requires extended timeout settings for Synta MCP to work properly. Add these timeout configurations to your ~/.codex/config.toml file:
[mcp_servers.synta-mcp]
# ... your existing configuration ...
startup_timeout_sec = 30
tool_timeout_sec = 360

Alternative: Increase Startup Timeout

If you still see timeout errors after adding the above settings, try increasing the startup timeout:
[mcp_servers.synta-mcp]
# ... your existing configuration ...
startup_timeout_sec = 40
tool_timeout_sec = 360

Why This Happens

Synta MCP performs initial setup operations when starting, which may exceed Codex’s default timeout settings. The extended timeouts allow proper initialization.

After Updating

  1. Save your config.toml file
  2. Restart your terminal or Codex session
  3. Verify with: codex mcp list
If you’re experiencing timeouts or connection issues:

Solution

  1. Check Internet Connection
    • Ensure you have a stable internet connection
    • Try accessing the MCP server URL in a browser
  2. Firewall/Proxy Settings
    • Check if your firewall is blocking the connection
    • If using a corporate proxy, ensure npx can access external URLs
    • You may need to configure proxy settings in your environment
  3. N8N Instance Accessibility
    • Verify your N8N instance is running and accessible
    • Test the URL in a browser: https://your-instance/api/v1/health
    • Check if the instance requires VPN or special network access

Getting Help

If you’re still experiencing issues after trying the solutions above:

GitHub Issues

Report bugs or request features on our GitHub repository

Community Discussions

Ask questions and get help from the community

When Seeking Help, Include

  1. Which AI client you’re using (Cursor, Claude Desktop, Claude Code, etc.)
  2. Operating system (macOS, Windows, Linux)
  3. Node.js version (run node --version)
  4. Configuration file contents (with API keys redacted)
  5. Error messages or screenshots
Never share your API keys or login credentials publicly. Always redact credentials when sharing configuration files or error messages.