crisphive/crisphive-mcp
by Various
Field operations over MCP — constraint-based scheduling on a deterministic solver, manageable from Claude or ChatGPT. Match crews to jobs by location, skills & availability; bookin
MCP
crisphive/crisphive-mcp
Added 16 Sept 2026
Overview
Crisphive MCP exposes field operations as an MCP server, enabling constraint-based scheduling on a deterministic solver from Claude or ChatGPT. It matches crews to jobs by location, skills, and availability, and covers booking, work orders, dispatch, CRM, and fleet management for home services such as HVAC, plumbing, and electrical.
Best for
Best for
Builders prototyping field service scheduling for home services using Claude or ChatGPT
Use cases
- Match crews to jobs by location, skills, and availability
- Manage bookings and work orders from a chat interface
- Coordinate dispatch, CRM, and fleet operations via MCP
How to use
Tools exposed
CRISPHIVE_API_KEYCRISPHIVE_BASE_URL
Tested with
Claude Desktop, Claude Code, Cursor, Windsurf, Cline, VS Code, ChatGPT
Notes
Crisphive MCP exposes field operations as an MCP server, enabling constraint-based scheduling on a deterministic solver from Claude or ChatGPT. It matches crews to jobs by location, skills, and availability, and covers booking, work orders, dispatch, CRM, and fleet management for home services such as HVAC, plumbing, and electrical.
3 stars on GitHub. Last updated 2026-09-04. Licensed MIT.
Use cases
- Match crews to jobs by location, skills, and availability
- Manage bookings and work orders from a chat interface
- Coordinate dispatch, CRM, and fleet operations via MCP
Pros
- Uses a deterministic solver for constraint-based scheduling, which is predictable
- Manageable directly from Claude or ChatGPT via MCP
- Covers a wide field operations workflow: booking, dispatch, CRM, fleet
Cons
- Repository shows low adoption (3 stars), so maturity and community support are uncertain
- Vendor is listed as Various, making ownership and long-term maintenance unclear
- Scope targets home service trades, so it may need adaptation outside HVAC, plumbing, or electrical
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Uses a deterministic solver for constraint-based scheduling, which is predictable
- Manageable directly from Claude or ChatGPT via MCP
- Covers a wide field operations workflow: booking, dispatch, CRM, fleet
Cons
- Repository shows low adoption (3 stars), so maturity and community support are uncertain
- Vendor is listed as Various, making ownership and long-term maintenance unclear
- Scope targets home service trades, so it may need adaptation outside HVAC, plumbing, or electrical
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