Tripsy Launches MCP Server for Claude: Manage Trips via Structured API

Tripsy, a trip planning app, released an official MCP (Model Context Protocol) server for Claude. This lets Claude work directly with structured trip data — itineraries, activities, stays, transportation, and expenses — rather than inferring from pasted text.
Available MCP Tools
The server exposes tools organized by domain:
- Trips: list, show, create
- Activities: create
- Transportations: update
- Expenses: create
- Collaborators: list
- Raw API access: via
tripsy_raw_request
Example Use Cases
- Reorganize itineraries by neighborhood or travel time
- Add activities to existing trips
- Update schedules after delays or changes
- Balance group itineraries
- Track transportation and lodging details
- Manage trip expenses
Setup in Claude
- Open Claude settings
- Go to Connectors
- Add custom connector
- Paste
https://mcp.tripsy.app - Login and authorize access
CLI for Automation
Tripsy also provides a CLI for terminal-based workflows: github.com/tripsyapp/cli.
More details at tripsy.app/claude.
📖 Read the full source: r/ClaudeAI
👀 See Also

IUM: MCP Symbol Indexer Cuts AI Agent Token Usage by 15.9x vs grep
IUM indexes codebases into an SQLite matrix of symbol events, exposing exact file:line coordinates, call graph tracing, and semantic search via MCP. Benchmarked against DataFusion (1,538 files) showing 15.9x fewer tokens than grep for equivalent queries.

New Tool Injects Instructions into Claude Code Based on Context Usage
A developer created a tool that monitors context usage and injects custom instructions to prevent mid-task compaction disasters.

Steelman R5: Fine-tuned 14B Model Outperforms Claude Opus on Ada Code Generation
A developer fine-tuned Qwen2.5-Coder-14B-Instruct using QLoRA on a compiler-verified dataset of 3,430 Ada/SPARK instruction pairs, achieving 68.6% compilation rate on a custom benchmark versus Claude Opus 4.6's 42.1%. The model is available via Ollama and fits in 12GB VRAM.

Real-World Insights on Using OpenClaw with LLMs: Challenges and Limitations
An OpenClaw user describes integration issues with LLMs, citing nonsensical responses from a Discord bot.