Add user profile information to MCP tool calls

[devin-ai-integration]

Add user profile information to MCP tool calls

Addresses issue #19 by sending the Slack user's email address and profile information to MCP when executing tool calls.

Changes

• Modified the data flow to pass the user ID through the pipeline
• Added code to retrieve the user's profile information using the Slack API
• Added the user profile information to the arguments passed to MCP tools

The user profile is added to the tool call arguments under the 'user_profile' key, which includes all profile fields such as email, real name, display name, etc.

Note: For this to work, the Slack application must have the appropriate OAuth scopes: users:read and users:read.email to access the user's email address.

Link to Devin run: https://app.devin.ai/sessions/884dbd1847ba41f79028e28e129386ef
Requested by: Tommy Nguyen ([email protected])

Summary by CodeRabbit

• New Features
  • Integrated Slack user profile information into language model responses and tool executions, enabling more personalized interactions within Slack.
• Bug Fixes
  • Improved logging for user profile retrieval and integration, enhancing transparency and traceability during Slack interactions.

[devin-ai-integration]

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Walkthrough

The changes update several method signatures to include user profile or user ID parameters, enabling user-specific context to be incorporated into LLM response processing and tool invocation. User profile information is now fetched and passed through the processing pipeline, with appropriate logging and error handling added for profile retrieval.

Changes

File(s)	Change Summary
internal/handlers/llm_mcp_bridge.go	Updated ProcessLLMResponse and executeToolCall method signatures to accept a userProfile parameter. Passed this parameter through the call chain and added logic to include it in tool call arguments if present, with debug logging.
internal/slack/client.go	Updated handleUserPrompt and processLLMResponseAndReply method signatures to include userID. Fetched user profile using userID and Slack API client, logged results, and passed profile to LLM processing. Adjusted all internal calls accordingly.

Sequence Diagram(s)

sequenceDiagram
    participant SlackUser
    participant SlackClient
    participant LLMBridge
    participant ToolCall

    SlackUser->>SlackClient: Sends user prompt (includes userID)
    SlackClient->>SlackClient: Fetch user profile using userID
    SlackClient->>LLMBridge: ProcessLLMResponse(..., userProfile)
    LLMBridge->>ToolCall: executeToolCall(..., userProfile)
    ToolCall->>ToolCall: Add user_profile to Args if present
    ToolCall-->>LLMBridge: Return result
    LLMBridge-->>SlackClient: Return processed response
    SlackClient-->>SlackUser: Reply with response

Loading

Poem

In the warren where user profiles dwell,
We pass them along, as the code will now tell.
From Slack to the bridge, with context in tow,
Each hop brings more knowledge, each log helps us grow.
🐰✨ User-aware bunnies, onward we go!

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📥 Commits

Reviewing files that changed from the base of the PR and between 54af459 and df6822e.

📒 Files selected for processing (2)

• internal/handlers/llm_mcp_bridge.go (3 hunks)
• internal/slack/client.go (6 hunks)

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