Local Terminal CRM with Built-in MCP Server for Claude Integration
A developer has created a personal CRM tool that runs entirely in the terminal and stores data locally in SQLite. The key feature is its built-in MCP (Model Context Protocol) server, which allows Claude to directly interact with the CRM data.
Setup and Integration
The setup process is simple: claude mcp add crm -- crm mcp serve. Once configured, Claude gains access to 18 different tools for managing CRM data.
Key Features
- Local storage only - SQLite database at
~/.crm/crm.db - Single binary with no cloud dependencies or accounts required
- Contact summaries that Claude maintains as "living dossiers"
- Claude reads contact summaries before meetings and updates them after
Workflow Example
After a meeting, you can tell Claude: "Had a great call with Jane, she wants to move forward, send proposal by Friday." Claude then:
- Logs the interaction
- Updates the deal stage
- Creates a follow-up task
- Updates Jane's summary with the new context
Available Tools
Claude can use the CRM to:
- Search contacts
- Log interactions
- Create deals
- Set follow-ups
- Maintain contact summaries
The tool is designed for developers who need a lightweight, privacy-focused CRM that integrates directly with their AI coding workflow.
📖 Read the full source: r/ClaudeAI
👀 See Also
MTP + Unified Memory Boosts llama.cpp Inference 30% on RTX 5090
Enabling MTP speculation alongside GGML_CUDA_ENABLE_UNIFIED_MEMORY=1 pushes Qwen3.6-27B Q8_0 from 49 to 64 tok/sec on an RTX 5090 with 128GB system RAM.
Interfaze: New Model Architecture Beats Gemini-3-Flash and GPT-5.4-Mini on Deterministic Tasks
Interfaze, a new model architecture combining DNN/CNNs with transformers, outperforms Gemini-3-Flash, Claude-Sonnet-4.6, GPT-5.4-Mini, and Grok-4.3 across 9 benchmarks including OCR, vision, STT, and structured output.
Transforming Claude Code into an Autonomous Engineering Team
The ~/.claude/ configuration turns Claude Code into an autonomous build system, generating and testing code autonomously.
Open-source local hook automatically switches Claude models to cut AI costs
A developer created a local hook for Cursor and Claude Code that analyzes prompts and automatically selects the appropriate Claude model (Haiku, Sonnet, or Opus) before sending requests. The tool uses keyword rules to classify tasks and block overpaying scenarios, with retroactive analysis showing 50-70% cost reduction.