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Fenceline MCP
Bring Fenceline context into the tools your team already uses.
MCP gives approved AI tools a structured way to work with your Fenceline data. For contractors, that can mean faster answers and less time hunting through separate systems.
What is possible
Useful context, where you need it.
Answer questions
Use current business context to support research, follow-up, and everyday decisions.
Explore workflows
Connect approved tools to repeatable tasks as Fenceline's MCP capabilities grow.
Connect
A hosted server, ready for MCP clients.
Point any MCP-compatible client at the hosted Streamable HTTP endpoint. Discovery
(initialize, resources) is open; tool calls require an API key from your Fenceline
organization, sent as X-API-Key or a bearer
token.
https://mcp.fenceline.ai/mcp- Server guide — transports, authentication, scopes, tool families, and rate limits.
- Tool reference — every advertised tool with its purpose, scope, and arguments.
- Transport details — Streamable HTTP, JSON-RPC, SSE, and local stdio development.
Tool access is granted by your organization.
Discovery is open to any client, but the tools available on a connection depend on your organization and the scopes assigned to each API key. Contact Fenceline through the support page to set up access for your team.