FloConnector vs GitMir

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 GitMir
Detail	FloConnector	GitMir
What it does	Managed MCP connectors for business	AI model of your product's business logic accessible to people and AI agents
Stage	Not given	Not given
Founded	Not given	Not given
Based in	AU	GB
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: 10,000 starting credits plus 1,000 per month. Engineering: $29 per active developer per month with 30,000 pooled credits each month. GitMir Vibe: $9 per person per month. Cloud Compute: $99 per project per month. MeetAI: $49 per project per month. GoBots: $99 per venture per month. Market: $49
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	Builds features, rules and customer paths and keeps them current with every push Shows what each commit changed in the business logic, not only in the code Provides change impact analysis before merge showing what could break Checks PRDs and specifications against the product Delivers understanding to AI agents over MCP Runs locally on your machine with GMM Local Finds risky patterns and problems in the product Enterprise deployment inside your security boundary Integrates with Claude Code, Cursor, Codex and VS Code MCP access for agents with 1-10 credits per answer
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	Nearly 3× fewer errors on Benchmark 001 compared to alternatives 8.4K tokens per question instead of 27.4K for competitors Results published and measurable; method is proprietary Reduces AI cost per completed agent action from $0.35 to $0.08
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	27 no change since last check
Trust Flow (Majestic)	0	3
Citation Flow (Majestic)	14	28
Referring domains (Majestic)	1	50

6 details filled in for both companies.

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