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Customer Support AI MCP

Customer Support Ai MCP Server by MEOK AI Labs

Connector by CSOAI-ORG · GitHub account verified by the MCP Registry

IndexedMITLocal (stdio)
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Install

Works with Claude Code, Codex, VS Code, Cursor, Windsurf, Claude Desktop. Read the repository before you give any tool access to your data.

npx agentmarket install connector/csoai-org-customer-support-ai-mcp

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

Customer Support Ai MCP Server by MEOK AI Labs

Reviews

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No reviews yet. Installed it? Reviews come from verified installers only. How reviews work

Permissions

What this server can do and what it asks for, from its tool list and install config. Checked Oct 25, 2026.

Tools
3 read · 1 write · 0 delete · 1 not yet classified
Secrets
None asked for
Install scripts
Not scanned yet
Runs as
Python package

Tools by what they do 5

Read from the source code; the running server may list different tools.

Read 3 · Look things up without changing anything.

  • analyze_sentiment
  • classify_ticket
  • detect_escalation

Write 1 · Create, change, send or run things.

  • draft_response

Not yet classified 1 · We could not tell from the name and description.

  • generate_faq

Tools (5)

Read from the source code; the running server may differ. Descriptions are the server’s own words; hidden characters are shown as [U+…].

  • analyze_sentiment

    Analyze customer message sentiment to gauge satisfaction. Args: messages: List of customer message texts (conversation thread). Behavior: This tool is read-only and stateless — it produces analysis output without modifying any external systems, databases, or files. Safe to call repeatedly with identical inputs (idempotent). Free tier: 10/day rate limit. Pro tier: unlimited. No authentication required for basic usage. When to use: Use this tool when you need structured analysis or classification of inputs against established frameworks or standards. When NOT …

  • classify_ticket

    Classify a support ticket by category, priority, and routing. Args: subject: Ticket subject line. body: Full ticket body text. customer_tier: standard | premium | enterprise. Behavior: This tool is read-only and stateless — it produces analysis output without modifying any external systems, databases, or files. Safe to call repeatedly with identical inputs (idempotent). Free tier: 10/day rate limit. Pro tier: unlimited. No authentication required for basic usage. When to use: Use this tool when you need structured analysis or classification of inputs …

  • detect_escalation

    Detect if a support ticket needs escalation to management. Args: messages: Customer message texts. ticket_age_hours: Hours since ticket was created. response_count: Number of agent responses so far. customer_tier: standard | premium | enterprise. Behavior: This tool generates structured output without modifying external systems. Output is deterministic for identical inputs. No side effects. Free tier: 10/day rate limit. Pro tier: unlimited. No authentication required for basic usage. When to use: Use this tool when you need structured analysis or classifi…

  • draft_response

    Draft a customer support response based on ticket category. Args: category: billing | technical | account | shipping | product | feedback. customer_name: Customer's first name. issue_summary: Brief summary of the specific issue. tone: professional | friendly | formal | empathetic. include_steps: Whether to include resolution steps. Behavior: This tool generates structured output without modifying external systems. Output is deterministic for identical inputs. No side effects. Free tier: 10/day rate limit. Pro tier: unlimited. No authentication required for…

  • generate_faq

    Generate FAQ entries from common support ticket patterns. Args: tickets: List of resolved tickets with keys: subject, category, resolution. max_faqs: Maximum number of FAQ entries to generate (1-20). Behavior: This tool generates structured output without modifying external systems. Output is deterministic for identical inputs. No side effects. Free tier: 10/day rate limit. Pro tier: unlimited. No authentication required for basic usage. When to use: Use this tool when you need structured analysis or classification of inputs against established frameworks or …

Signals

Stars
0
Forks
0
Open issues
0
Weekly downloads
58
Last commit
Sep 4, 2026 (1 month ago)
Last release
Jun 30, 2026 (4 months ago)
Last package publish
Jun 27, 2026 (4 months ago)

From GitHub (fetched Oct 24, 2026) and the package registry.

Details

Registry name
io.github.CSOAI-ORG/customer-support-ai-mcp
Version
1.0.10
Auth
No auth
Packages
pypi customer-support-ai-mcp
License
MIT
Repository
github.com/CSOAI-ORG/customer-support-ai-mcp
First seen
Oct 24, 2026
Last checked
Oct 25, 2026
Source
Official MCP Registrygithub-graphql

More from CSOAI-ORG

Cite this page

Customer Support AI MCP. Agent Mart. https://agentmart.dev/connectors/csoai-org-customer-support-ai-mcp (last updated 2026-10-25)