"A tool for SEO analysis and relevant keyword searches" matching MCP servers:

Demo MCP server that exposes order and customer data as read-only tools for AI assistants, simulating a business API or internal data source.

Enables Claude Desktop to answer natural-language questions about customers by exposing search, profile, order history, status filter, and spend statistics tools backed by local mock data, with a single-file swap path to Oracle AI Agent Studio later.

An MCP to give AI agents extensive knowledge of your personal finances and control of your budgeting.

Production-ready MCP server enabling AI assistants to interact with Braze's customer engagement platform, offering 92 tools for user management, messaging, campaigns, analytics, email/SMS, catalogs, and SCIM provisioning.

A lightweight server that uses ChatGPT to qualify leads using the BANT framework (Budget, Authority, Need, Timeline) through a conversational question-by-question approach.

Provides read-only access to the Planning Center People API, enabling natural language queries for people, households, background checks, and lists.

Enables AI agents to interact with Salesforce CRM data by executing SOQL queries and managing records. It provides tools for object metadata discovery and record operations, specifically optimized for Heroku deployment.

Enables AI agents to safely operate HubSpot CRM contacts, deals, and pipelines via MCP, with caching, idempotency, audit trails, and robust error handling.

Resolves a company domain to its LinkedIn company page URL. Lightweight enrichment tool for sales and prospecting workflows.

An MCP server that provides AI agents with ICP Triangulation Framework™ for scoring prospects across firmographics, behaviors, and growth signals, plus RFM analysis and pipeline health scoring, with optional HubSpot integration.

Read-only, PII-masked MCP server for querying data federated through DuckDB — list sources/tables, inspect schemas, and run SQL across Postgres, MySQL, SQLite, Snowflake, BigQuery, Excel, and files, governed per source/table/column by a charter.yaml contract. Snowflake, BigQuery, Excel, and files, governed per source/table/column by a charter.yaml contract.

Scores companies against a configurable Ideal Customer Profile using firmographic and signal data. Returns a weighted fit score with per-criterion breakdowns.

Revenue intelligence MCP server: RFM analysis, 14.5-point ICP scoring, pipeline health scoring. Embeds Artefact Formula methodology. HubSpot integration.

MCP server for Adobe Customer Journey Analytics, enabling AI-powered analytics queries including reports, breakdowns, trends, and dimension searches through Claude and other MCP clients.

Read-only MCP server for Pipedrive that provides a digest-ready sales queue with overdue follow-ups, due today activities, and deals missing next action.

Enables an AI assistant to answer customer-success questions by synthesizing simulated billing, support ticket, and product usage data into composite churn-risk scores, bands, and plain-language explanations for fictional accounts. It exposes raw-data tools, a synthesis tool, and a methodology resource so users can list at-risk accounts or get a per-account health summary.

MCP server for Postscript SMS marketing platform, enabling AI agents to query subscribers, look up opt-in keyword IDs, add new subscribers with consent, list campaigns, and check audience segment sizes.

An MCP server that enables AI assistants to interact with the CleverTap REST API to manage user profiles, events, campaigns, and reports. It supports multi-project configurations and provides tools for data analysis and campaign management through natural language.

A server for interacting with the Iaptic API, allowing AI models like Claude to query customer, purchase, and transaction data, as well as retrieve statistical insights.

Anchord MCP is a hosted remote MCP server for AI agents that need canonical identity resolution and safe write evaluation across customer systems. Resolve companies and people to canonical AnchorIDs, inspect linked records and target-system coverage, and evaluate whether a proposed write should be allowed or blocked. Read-only by design.