
Code Effects is the fastest and most intuitive .NET business rules engine trusted by government entities and Fortune 500 corporations all over the world

Unipile
LinkedBoost
LinkupAPI
Give Claude, ChatGPT or your own agents hands on every LinkedIn account you manage: prospecting, messaging, Sales Navigator, posts. MCP + REST API, a proxy and daily limits per account. $20 for the first account, then down to $5.

Website, pricing, platforms and company facts side by side.
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| Website | codeeffects.com | reachmcp.com |
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| Platforms | — | |
| Company | 2009 | Startup from France · 1 - 9 employees · 2026 |
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In their own words, as submitted to SaaSHub.


Code Effects Software is the developer of state-of-the-art business rules engine that combines an incredible performance of rule evaluation with revolutionary web interface, allowing the end-users to author and manage their corporate business rules with no knowledge of programming languages or IT...
Operate a real LinkedIn account from your AI agent. 58 tools for the inbox, invitations, network, profiles, Sales Navigator search in plain language, posts and engagement, plus jobs (a batch of actions Reach runs over working hours inside the quotas); six playbooks served as MCP prompts that...
What each product offers, as listed by its team.


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As answered by people managing Code Effects and Reach MCP.
Reach MCP's answer:
The only LinkedIn MCP server built for AI agents and for LinkedIn account safety.
Reach MCP's answer:
Reach MCP is built by the Kanbox team, trusted by 2,000+ teams on LinkedIn. Customer names are kept private by default.
Reach MCP's answer:
AI and automation agencies and builders who give their AI agents LinkedIn access, often across several client accounts.
Reach MCP's answer:
Other tools added AI on top of LinkedIn automation; Reach MCP was built for agents from day one, with account safety enforced by the server, not left to the agent.
Reach MCP's answer:
We're the team behind Kanbox, a LinkedIn tool used by 2,000+ teams with 2 million messages sent. When AI agents arrived, our users wanted Claude and n8n to handle LinkedIn for them. But an agent with raw LinkedIn access doesn't know when to stop. It sends too much and repeats actions, which gets accounts restricted. So we built Reach MCP: everything we learned about keeping LinkedIn accounts safe, packaged as a server designed for agents.
Reach MCP's answer:
Backend: Python, FastAPI, PostgreSQL Frontend: React, TypeScript, Vite, Tailwind CSS Infrastructure: Google Cloud Run and Cloud SQL (EU, Belgium), Cloudflare Protocols: Model Context Protocol (Streamable HTTP), OAuth 2.1 with PKCE, REST/OpenAPI, signed webhooks Other: a Chrome extension to connect LinkedIn accounts, Stripe for billing
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