DTing MCP
This server does not currently have a deployable release on Glama. Follow the repository's setup instructions to install and configure it for your MCP client, including any required credentials and local dependencies.
DTing MCP
This is a small MCP server for DTing. MCP means Model Context Protocol: it lets an AI client call your own business functions instead of guessing from memory.
DTing Tools
The server now includes learning-friendly DTing tools in app/tools/dting.py:
get_dting_company_brief: returns product positioning and core feature context.suggest_dting_mcp_tools: explains what kind of MCP tools fit a business goal.draft_dting_support_reply: drafts a customer support first response.generate_dting_profile_prompt: creates profile-writing prompts for users.analyze_dting_match_context: gives a simple explainable match-context score.build_dting_safety_checklist: returns a trust and safety review checklist.
Think of every MCP tool as:
AI asks a question -> MCP calls your function -> AI gets trusted company dataTo add your next company tool:
Create a normal Python function with clear inputs and output.
Register it with
@mcp.tool().Keep the docstring simple because AI clients use it to understand the tool.
Add a focused test for the pure helper function.
Related MCP server: Company API MCP Server
Docker
Build and start the MCP server:
docker compose up --buildThe default URL is:
http://localhost:8004If that port is busy, run it with another port:
HOST_PORT=8010 PORT=8010 docker compose up --buildStop the server:
docker compose downLocal Python
Install dependencies and run:
pip install -r requirements.txt
PORT=8004 python -m app.mainTool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
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This server cannot be deployed
Maintenance
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