# MCP Search (MCP Stack) vs Salesforce Agentforce (formerly Einstein)

MCP Search (MCP Stack) records 0 monthly visits with 0% month-over-month growth and Paid pricing. Salesforce Agentforce (formerly Einstein) records 111,910,743 monthly visits with +2.2% growth and Freemium pricing.

| Metric | [MCP Search (MCP Stack)](https://openaitools.app/tool/mcp-stack) | [Salesforce Agentforce (formerly Einstein)](https://openaitools.app/tool/salesforce-einstein) |
| :--- | :--- | :--- |
| Website URL | https://mcp-stack.com | https://www.salesforce.com/agentforce/ |
| Categories | AI Marketing, AI Agent, AI Sales Assistant, AI Lead Generation | AI App Builder, AI Developer Tools, AI CRM, No-Code&Low-Code |
| Pricing Model | Paid | Freemium |
| Monthly Visits | 0 | 111,910,743 |
| MoM Growth Rate | 0% | +2.2% |
| Primary Market | Global | United States |
| Direct Visits | 0 | 60,741,009 |
| Review Score | 4 | 4.4 |
| Saved Count | 0 | 20 |
| Supported Platforms | Website | Website |

## MCP Search (MCP Stack)

MCP Search, live on the mcp-stack.com domain, targets a specific and often underserved job: producing very fine-grained B2B prospect lists for the French market rather than running a global people search. Instead of stacking dozens of filters, you describe your target in a sentence — for example, sales directors who graduated from an engineering school, have worked in manufacturing for at least three years, and are employed at companies that are still active. The engine cross-references legal registry records (INSEE, Infogreffe, BODACC), verified Google Maps listings, public LinkedIn company profiles, open web contact data and financial filings to return a structured list.

The dataset is positioned as a pre-crossed French prospecting base: roughly 27 million legal entities, about 29 million profiles and professional experiences, and around 1.4 million establishment-level records usable in the same query. Job-posting signals from boards such as LinkedIn, Welcome to the Jungle, Pôle emploi and Indeed are announced as coming next.

The product is currently in a waitlist phase with a September launch; the company states that the MCP connector for Claude, Grok or home-built agents is not yet publicly callable and will expose the same France-first list engine when it opens. It positions itself against Apollo (global outbound) and Clay (multi-provider enrichment) rather than against infrastructure tooling. MCP Search is an independent product and is not produced or endorsed by Anthropic, xAI or any model provider.

**Pricing & Plans:** Pricing is not published on the current site. The product is in a waitlist phase ahead of a September launch, and no public plan, trial or per-seat figure is listed yet — check the site for updates when the product opens.

- **One-sentence list building:** Describe your target in plain French and get a cross-referenced list, instead of stacking 8+ filters across NAF codes, revenue thresholds and tenure.
- **Multi-source French data:** Crosses legal registry records (SIREN/SIRET, officers, financials), Google Maps establishments, public LinkedIn company data and open web contacts.
- **Large FR-first coverage:** Around 27M legal entities, roughly 29M profiles and experiences, and about 1.4M establishment records accessible within the same query intention.
- **MCP connector for AI agents:** An MCP endpoint designed so Claude, Grok or a custom agent can run the same fine-grained French account queries, planned for public release at launch.
- **Direct competitor framing:** Explicitly positioned against Apollo-style global people search and Clay-style enrichment workflows, focusing on crossed French list building as the core job.

**Strengths:** Focuses on a genuinely hard problem: fine-grained, cross-referenced French B2B lists rather than generic global people search; Aggregates several authoritative French sources (legal registry, Maps, LinkedIn, financials) into a single intention-based query; Plans an MCP connector so the same list engine is callable by AI agents; Transparent comparison pages against Apollo, Clay and French data providers

**Limitations:** Currently in a waitlist phase, so the core product and MCP tools are not yet publicly usable; No public pricing published, which makes budgeting hard to plan; Coverage is France-specific, so it is not suitable for multi-country outbound

[Profile (Markdown)](https://openaitools.app/tool/mcp-stack.md)

## Salesforce Agentforce (formerly Einstein)

Originally launched as Salesforce Einstein for predictive CRM scoring and later Einstein Copilot for conversational assistance, Salesforce's flagship AI platform is now led by Agentforce. Built natively into the Salesforce Platform and grounded in unified enterprise data via Data 360 (formerly Data Cloud), Agentforce moves beyond rigid decision-tree chatbots and passive text generators to deploy autonomous AI agents capable of reasoning through multi-step problems and executing real business actions around the clock.

At the core of the platform is the Atlas Reasoning Engine, which evaluates incoming customer requests or system triggers, retrieves verified context from CRM records and external APIs, formulates an execution plan, and invokes Salesforce Flows, Apex classes, MuleSoft connectors, or verified Model Context Protocol (MCP) servers. In 2026, Salesforce expanded the platform with Long-Horizon Runtime—enabling agents to pursue multi-day workflows with human-in-the-loop oversight—alongside Multi-Agent Orchestration, Agentforce Voice for natural phone interactions beyond legacy IVR, and Agent Optimizer for real-time observability.

Organizations can launch pre-built role agents in clicks using the low-code Agent Builder or customize deterministic logic with Agent Script. Out-of-the-box roles include Customer Service Agents, autonomous Sales Development Representatives (SDRs) that qualify leads and book meetings, Sales Coaches for interactive deal role-play, Commerce Personal Shoppers, and Employee Coworker agents embedded directly inside Slack and Salesforce clouds.

**Pricing & Plans:** Existing Enterprise+ customers can start free via Salesforce Foundations ($0); usage-based options include Flex Credits at $500 per 100,000 credits ($0.10 per standard action, $0.15 per voice action), $2 per customer conversation, or $2 per Help Agent resolution, while unmetered employee seat add-ons cost $125–$150/user/month and Max (Agentforce 1) Editions start at $550/user/month.

- **Atlas Reasoning Engine & Long-Horizon Runtime:** Deconstructs complex queries into multi-step action plans grounded in Data 360, retaining state across days or weeks to complete multi-touch operational workflows with human escalation guardrails.
- **Low-Code Agent Builder & Agent Script:** Configure custom agents, subagents, natural-language instructions, and deterministic guardrails using existing Salesforce Flows, Prompt Builder templates, Apex code, and MuleSoft APIs.
- **Multi-Agent Orchestration & MCP Interoperability:** Coordinate specialized subagents across departments and connect securely to external enterprise tools through verified Model Context Protocol (MCP) servers from AgentExchange partners.
- **Agentforce Voice & Omnichannel Deployment:** Replace rigid telephone IVR trees with low-latency conversational voice agents alongside unified deployments across web chat, WhatsApp, SMS, mobile apps, and Slack.
- **Pre-Built Role Agents & Agent Optimizer:** Deploy ready-made Service, SDR, Sales Coach, Buyer, and Merchandiser agents out of the box, then monitor resolution accuracy and bottlenecks in near real time with Agent Optimizer.

**Strengths:** Deep native access to Salesforce CRM objects, Flows, Apex logic, MuleSoft integrations, and Data 360 without brittle third-party syncing.; Flexible 2026 billing models let enterprises choose between per-action Flex Credits ($0.10/action), $2 per conversation, $2 per resolution, or unmetered per-user licenses.; Enterprise-grade Einstein Trust Layer enforces zero data retention with external LLM providers, PII masking, and toxicity detection.; Supports open multi-agent interoperability via Model Context Protocol (MCP) and Long-Horizon multi-day task execution.

**Limitations:** Consumption pricing across Flex Credits, Data 360 credits, and seat add-ons is complex to forecast and prevents mixing Flex Credits and Conversation meters in the same org.; Requires clean, well-structured Salesforce CRM and Data 360 governance to avoid inaccurate agent actions.; Full enterprise capabilities carry a steep total cost of ownership, with top-tier Max / Agentforce 1 editions reaching $550 per user per month.

[Profile (Markdown)](https://openaitools.app/tool/salesforce-einstein.md)

## Frequently Asked Questions

### How do MCP Search (MCP Stack) and Salesforce Agentforce (formerly Einstein) compare in monthly traffic?

MCP Search (MCP Stack) has 0 monthly visits, while Salesforce Agentforce (formerly Einstein) has 111,910,743. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

MCP Search (MCP Stack) has a month-over-month growth rate of 0%; Salesforce Agentforce (formerly Einstein) has +2.2%.

### How does pricing compare?

MCP Search (MCP Stack): Paid. Pricing is not published on the current site. The product is in a waitlist phase ahead of a September launch, and no public plan, trial or per-seat figure is listed yet — check the site for updates when the product opens. Salesforce Agentforce (formerly Einstein): Freemium. Existing Enterprise+ customers can start free via Salesforce Foundations ($0); usage-based options include Flex Credits at $500 per 100,000 credits ($0.10 per standard action, $0.15 per voice action), $2 per customer conversation, or $2 per Help Agent resolution, while unmetered employee seat add-ons cost $125–$150/user/month and Max (Agentforce 1) Editions start at $550/user/month.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Zapier](https://openaitools.app/tool/zapier-com) | 5,065,248 | +0.4% | Freemium, Free Trial, Paid | Automate work across thousands of apps — no code required | [.md](https://openaitools.app/tool/zapier-com.md) |
| 2 | [Intercom](https://openaitools.app/tool/intercom-com) | 4,471,110 | +2.7% | Free Trial, Paid | Exceptional customer support and helpdesk workflow automation, but less suited for broad enterprise CRM and sales execution. | [.md](https://openaitools.app/tool/intercom-com.md) |
| 3 | [Gong – Revenue AI OS](https://openaitools.app/tool/gong-io) | 2,337,769 | +3% | Contact for Pricing | Superior revenue intelligence and call analytics, but specialized for sales insights rather than general agentic workflow automation. | [.md](https://openaitools.app/tool/gong-io.md) |
| 4 | [MindStudio](https://openaitools.app/tool/mindstudio) | 1,793,337 | +14.2% | Contact for Pricing | Visual no-code builder for custom AI agents, but lacks Salesforce's native enterprise data connectors and CRM structure. | [.md](https://openaitools.app/tool/mindstudio.md) |
| 5 | [Attio](https://openaitools.app/tool/attio) | 1,652,928 | -4.2% | Free Trial, Contact for Pricing | Modern customizable CRM with built-in AI agents, but lacks the massive enterprise ecosystem and scale of Salesforce. | [.md](https://openaitools.app/tool/attio.md) |
| 6 | [Clay](https://openaitools.app/tool/clay-2-0) | 1,267,465 | -2.7% | Freemium, Free Trial, Contact for Pricing | Build GTM systems that turn data into revenue | [.md](https://openaitools.app/tool/clay-2-0.md) |
| 7 | [Success.ai](https://openaitools.app/tool/success-ai) | 547,073 | +6.3% | Freemium, Free Trial | AI sales platform for unlimited B2B leads and outreach | [.md](https://openaitools.app/tool/success-ai.md) |
| 8 | [Chatbase](https://openaitools.app/tool/chatbase) | 396,383 | -7% | Freemium, Paid | Simple no-code AI chatbot deployment, but less equipped for complex enterprise-grade CRM automation and multi-system agents. | [.md](https://openaitools.app/tool/chatbase.md) |
| 9 | [Sierra](https://openaitools.app/tool/sierra) | 341,072 | +16.4% | Contact for Pricing | Delivers exceptionally polished customer service agents, but focuses on bespoke conversational AI rather than broad CRM workflows. | [.md](https://openaitools.app/tool/sierra.md) |
| 10 | [Monaco](https://openaitools.app/tool/monaco) | 195,703 | +10.6% | Paid | The AI revenue engine that replaces your CRM | [.md](https://openaitools.app/tool/monaco.md) |

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Source: https://openaitools.app/compare/mcp-stack-vs-salesforce-einstein

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