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"Information on Working as an Actuary" matching MCP connectors:

Matching Connector Tools:

  • AMZScout Skill + MCP gives AI agents live access to real Amazon marketplace data across 14 Amazon marketplaces. Analyze any ASIN, validate product ideas, research niches, compare competitors, discover profitable keywords, and build data-driven PPC strategies using trusted Amazon insights instead of AI assumptions. Works with Claude, ChatGPT, Cursor, and any other MCP-compatible AI client. To connect, you'll need an AMZScout API plan and authorize your account. Get access and view pricing here: https://learn.amzscout.net/amazon-product-api-for-ai-agents

  • Build, validate, deploy — HTTP APIs, cron jobs, webhooks and MCP tools — from your AI client. Air Pipe MCP token as a bearer credential, e.g. 'Authorization: Bearer <token>'. Create one at https://app.airpipe.io/

  • Your Databricks Lakehouse in natural language: run SQL on your SQL warehouses, track long-running qu

  • Agent-native cloud, EU-hosted. Provision VMs, networks & databases on redu.cloud via MCP.

  • An MCP server for converting data between 16 formats including JSON, YAML, TOML, CSV, XML, Markdown, HTML, Excel, PDF, and more. Supports single transforms, batch fan-out to multiple targets in one call, and JSON reshaping with dot-notation path mapping. 240 conversion pairs, zero config.

  • Chrysai provides a hosted MCP server for AI-driven data operations. After connecting an MCP client to the endpoint, you can use MCP tools such as create_app, list_apps, read_data, write_data, update_data, delete_data, and update_app, plus schema resources, to manage persistent structured data through natural language.

  • Access comprehensive company data including financial records, ownership structures, and contact information. Search for businesses using domains, registration numbers, or LinkedIn profiles to streamline due diligence and lead generation. Retrieve historical financial performance and complex corporate group structures to support informed business analysis.

  • Search and retrieve job postings on Nationale Vacaturebank, the largest Dutch jobs site (read-only).

  • Manage Kubernetes clusters, deployments, databases, secrets and observability on Mengi Cloud.

  • Query 40 databases from Claude, ChatGPT, or Cursor — on any device. Read-only, encrypted, audited.

  • Multi-tenant database orchestration: isolated Postgres, MySQL, MongoDB, Redis tenants on demand.

  • Query your Google Sheets as structured JSON: list sheets and tabs, read schemas, filter rows.

  • An agent-native database over MCP: shared, validated, structured records in every AI chat.

  • AI agents propose database changes as reviewable requests — no direct write access.

  • Persistent agent memory via ACMI — Profile/Signals/Timeline. 16 tools on Upstash Redis.

  • The HubSpot MCP Server acts as a bridge that enables AI assistants and Large Language Models to securely interact with HubSpot CRM data through natural conversation, without requiring users to understand complex API structures. It provides read-only access to standard CRM objects (contacts, companies, deals, tickets, products, invoices, and more) and their associations, secured via OAuth 2.0, allowing AI agents to perform tasks like summarizing deals, fetching company updates, and looking up record changes.

  • The Ramp MCP server enables users to securely connect Ramp with AI assistants like ChatGPT and Claude to query financial data and take actions using natural language. It transforms Ramp's developer API into a SQL interface that LLMs can query, allowing admins to analyze spend trends, identify cost savings, and run complex SQL analyses on comprehensive datasets (transactions, purchase orders, vendors, users), while all users can manage cards, view transactions, request reimbursements, and get expense policy answers.

  • The Instant MCP server is a wrapper around the Instant Platform SDK that enables creating, managing, and updating InstantDB applications directly within an editor. It provides tools for fetching rules files for LLMs, retrieving and pushing app schemas, managing permission rules, and executing database queries. Key capabilities include schema management (get-schema, push-schema), permission management (get-perms, push-perms), query execution, and listing recent query history.

  • Run SOQL queries against your Salesforce org to explore and retrieve data. Quickly iterate on filt…