FloConnector vs Port of Context

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

FloConnector compared with Port of Context
Detail	FloConnector	Port of Context
What it does	Managed MCP connectors for business	Context layer platform for regulated industries
Stage	Not given	Not given
Founded	Not given	Not given
Based in	AU	Not given
Pricing model	Freemium	Freemium
Pricing	Solo: Free, then $0.01 per external tool call (1,500 free calls to start). Pro: $49/month with 10,000 included calls, then $0.01 per additional call. Scale: $199/month with 50,000 included calls, then $0.01 per additional call. Enterprise: Custom pricing with invoicing for more than 3 workspaces or	Free: $0, includes up to 5 members, 100 context nodes, and 100 MB of indexed content. Team: $25 per seat per month (or $200 per seat billed annually), includes up to 25 members, 1,000 context nodes, and 1 GB of indexed content. Enterprise: custom pricing, includes Forward Deployed Engineers, Hybrid
Key features	122+ managed connectors to business tools Skills: reusable procedures for consistent AI execution Tables: persistent records AI maintains between chats Secure client connections without password sharing Team profiles with per-user tool permissions 98.7% token reduction vs loading all tools at once Works with Claude and ChatGPT through MCP protocol	Model-agnostic: runs on Claude, GPT, Gemini, or open-weight models Full observability: trace every tool call, retrieval, and reasoning step Isolated execution: tool calls run in isolated environments by default Code mode: reduces token usage to one-third of traditional approaches Self-hosted on your infrastructure: cloud, on-prem, or air-gapped MCP server integration: works with existing MCP servers unchanged Open source under MIT license Automatic model failover and switching
What makes it different	Works across 120+ tools in one MCP connection, no coding required Encrypted credentials kept separate from AI, with granular access control 98.7% fewer tokens through on-demand tool loading and server-side queries	Isolated by default with no direct system access Reduces token usage to approximately one-third Runs end-to-end air-gapped with no external network calls Full transparency through open agent-observability spec (AVP) No vendor lock-in: switch models without rewriting agents
Free plan	Not given	Not given
Open source	Not given	Not given
Platforms	Not given	Not given
Public API	Not given	Not given
Community votes	0	0
DR (Domain Rating by Ahrefs)	Not checked yet no change since last check	38 no change since last check
Trust Flow (Majestic)	0	14
Citation Flow (Majestic)	14	28
Referring domains (Majestic)	1	102

5 details filled in for both companies.

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