"Information about TomTom navigation systems or services" matching MCP servers:

Model Context Protocol server for the Apideck Unified API. Connect any MCP-compatible agent framework to 100+ accounting systems, HRIS platforms, file storage providers, and more through one integration. More information https://www.apideck.com/mcp-server

Read-only MCP server for Gingr pet-care facility data, enabling queries about owners, animals, reservations, appointments, services, and staff via natural language.

Resolves messy company, customer, and vendor names across CRM, ERP, and ITSM systems to canonical records using fuzzy matching, preventing AI agents from updating or creating wrong or duplicate records.

Enables support agents to look up customer account details and billing or incident information through two read-only MCP tools for triage workflows.

Provides tools for AI assistants to interact with a WooCommerce store, enabling fetching recent orders with optional filtering and retrieving detailed information about specific orders by ID.

Enables AI assistants to search and retrieve LinkedIn connections via LeadDelta CRM, allowing natural language queries about contacts by name, company, job title, or location.

A demo MCP server with two governed systems (pipeline semantic layer and predictive model) for querying and scoring professional services opportunities with cross-system governance.

Enables Claude Desktop to query ServiceTitan data about technician jobs and business performance via natural language, while protecting customer personal information.

Enables pushing enriched leads into Instantly or Smartlead campaigns with ICP score gating, deduplication, and dry-run previews via an Apify actor.

Enables AI agents to read and manage Copper CRM data, including searching people, companies, and opportunities, listing pipelines, and logging activities or creating tasks.

LinkedIn prospect intelligence inside Claude. It automates the research behind outreach, not the sending: scrapes posts, profiles and comment threads into a local SQLite database, classifies what a person or company actually posts about, mines comment threads for people already describing your problem, and surfaces uncommon commonalities worth opening with.

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.

Connects AI agents to the Ploomes CRM REST API, exposing 56 tools for managing contacts, deals, tasks, pipelines, interactions, quotes, orders, products, fields, users, and account information.

A read-only MCP server for the Little Green Light donor CRM. It lets Claude answer questions about donor data, gifts, and fundraising metrics by querying LGL directly.

Enables AI assistants to search and retrieve B2B leads and company data from the LeadBrew database, including contact details and company information.

Enables AI assistants to interact with Workadu data through natural language, managing orders, customers, services, invoices, payments, assets, and asset movements.

Provides AI assistants access to YOUREPT CRM admin data, including leads, students, teachers, lessons, payments, payouts, and financial reports, enabling natural-language queries about business metrics.

The Derrick MCP server provides AI assistants with access to Derrick's B2B enrichment capabilities. It allows retrieval of company and contact information, lead enrichment, prospecting automation, and workflow execution directly through the Model Context Protocol (MCP).

Provides tools to search for people using registered business cards and the public Eight network. Enables LLMs to query person information while keeping private data secure.

Manage Job using MCP: Manage Job, Candidates, Resumes, Salaries all within this one MCP tools It can solve problems like: You have 50 resumes to screen. Your AI assistant can reason about candidates, but it can't: Read PDFs/DOCX — The AI can't open binary files Extract structured data — Copy-pasting loses formatting, metrics, and context Compare at scale — No consistent scoring across candida