@bolide-ai/mcp
MCP ServerFreeBolide AI MCP is a ModelContextProtocol server that provides tools for marketing automation.
Capabilities8 decomposed
mcp server initialization and protocol handshake
Medium confidenceImplements the ModelContextProtocol server specification to establish bidirectional communication with MCP clients (Claude, other LLM applications). Handles protocol version negotiation, capability advertisement, and message routing through stdio or HTTP transports. Uses JSON-RPC 2.0 message framing to serialize tool definitions and responses between client and server.
Implements full MCP server specification with stdio transport, enabling native integration with Claude and other MCP clients without requiring custom API wrappers or authentication layers
Simpler than building REST APIs + custom Claude plugins because it uses standardized MCP protocol that Claude natively understands
email campaign creation and management via tool calling
Medium confidenceExposes email campaign CRUD operations as MCP tools that LLM clients can invoke. Implements schema-based function definitions for creating campaigns with parameters like subject, body, recipient lists, and scheduling. Routes tool calls to underlying marketing platform APIs (likely Bolide's own backend or third-party services like Mailchimp/SendGrid) and returns structured campaign metadata and status.
Wraps email campaign operations as MCP tools with schema validation, allowing Claude to understand campaign parameters and constraints before execution, reducing malformed requests compared to unstructured API calls
More natural than Zapier/Make automations because Claude can reason about campaign content and recipient targeting in real-time rather than following rigid workflow rules
contact and audience segmentation via tool-based queries
Medium confidenceProvides MCP tools for querying, filtering, and segmenting contact databases based on attributes (demographics, engagement history, purchase behavior). Implements parameterized filtering logic that translates natural language intent (e.g., 'high-value customers who opened emails in the last 30 days') into database queries. Returns segment metadata including size, engagement metrics, and preview samples.
Translates natural language audience descriptions into parameterized database queries with schema validation, enabling Claude to suggest segments without exposing raw SQL or requiring manual filter configuration
More flexible than static audience lists because Claude can dynamically compose segments based on conversation context and user feedback in real-time
sms and push notification campaign execution
Medium confidenceExtends campaign automation to SMS and push notification channels via MCP tools. Implements channel-specific schema definitions (SMS character limits, push notification title/body constraints) and routes messages through appropriate service providers (Twilio, Firebase, etc.). Handles delivery tracking, bounce management, and opt-out compliance per channel.
Enforces channel-specific constraints (SMS character limits, push notification field lengths) at the tool schema level, preventing Claude from generating invalid messages before execution
More integrated than managing SMS and push separately because a single MCP server handles all channels with unified campaign metadata and tracking
campaign performance analytics and reporting via natural language queries
Medium confidenceProvides MCP tools for querying campaign metrics (open rates, click rates, conversion rates, revenue attribution) and generating reports. Implements aggregation logic that translates natural language queries ('Which campaigns had the highest ROI last month?') into analytics queries. Returns structured metrics with time-series data, comparisons, and trend analysis.
Translates conversational analytics queries into structured metric requests with automatic time-series aggregation and comparison logic, enabling Claude to answer 'Which campaigns performed best?' without manual SQL or dashboard navigation
More accessible than BI tools like Tableau because Claude can interpret business questions and fetch relevant metrics without requiring users to understand data schemas or write queries
template management and content generation assistance
Medium confidenceProvides MCP tools for storing, retrieving, and managing email/SMS/push templates. Implements template variable substitution (e.g., {{first_name}}, {{discount_code}}) with validation to ensure all required variables are provided at send time. Integrates with Claude's text generation to help draft template content and suggest personalization variables based on available contact attributes.
Validates template variables at save time and provides Claude with available contact attributes, enabling intelligent template suggestions that match actual data in the contact database
More intelligent than static template libraries because Claude can suggest personalization variables based on contact schema and help draft content that leverages available data
webhook and event-based trigger configuration
Medium confidenceProvides MCP tools for defining event-triggered campaigns (e.g., 'send email when contact signs up', 'send SMS when purchase exceeds $100'). Implements trigger schema with event types, conditions, and action definitions. Routes trigger configurations to a workflow engine that listens for events and executes associated campaigns automatically. Supports complex conditions (AND/OR logic, time windows) and action chaining.
Exposes trigger configuration as MCP tools with schema validation for conditions and actions, allowing Claude to suggest trigger logic based on business context and validate conditions before deployment
More flexible than no-code automation builders because Claude can reason about trigger logic and suggest optimizations based on campaign performance data
contact data import and synchronization
Medium confidenceProvides MCP tools for importing contacts from external sources (CSV, API, CRM) and syncing contact data with upstream systems. Implements field mapping logic to translate external data schemas to internal contact model. Handles deduplication, validation, and conflict resolution (e.g., which system wins if email exists in both sources). Supports incremental syncs and batch imports with progress tracking.
Provides field mapping tools with schema validation and deduplication logic, allowing Claude to suggest optimal mappings based on data preview and validate imports before execution
More reliable than manual CSV imports because it enforces field validation and deduplication rules, reducing duplicate contacts and data quality issues
Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.
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Best For
- ✓Teams building Claude-integrated marketing workflows
- ✓Developers adding marketing capabilities to existing MCP-compatible LLM applications
- ✓Marketing automation platforms seeking LLM-native interfaces
- ✓Marketing teams using Claude for campaign ideation and execution
- ✓Solo marketers automating repetitive campaign setup tasks
- ✓Agencies building client-facing LLM-powered marketing dashboards
- ✓Data-driven marketers who want LLM-assisted audience analysis
- ✓Teams managing large contact databases with complex segmentation rules
Known Limitations
- ⚠Requires MCP client support — not compatible with non-MCP LLM applications
- ⚠Protocol overhead adds ~50-100ms per tool invocation for serialization/deserialization
- ⚠No built-in authentication — relies on client-side access control
- ⚠Campaign complexity limited by LLM context window — large recipient lists or complex segmentation may require pre-staging
- ⚠No real-time campaign editing — changes require creating new campaign versions
- ⚠Dependent on underlying email service provider availability and rate limits
Requirements
Input / Output
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Bolide AI MCP is a ModelContextProtocol server that provides tools for marketing automation.
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