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Connpass User MCP Server

MCP Server

Fetch Connpass user and event data via Model Context Protocol

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Updated Sep 23, 2025

About

This MCP server retrieves Connpass user information, group memberships, and event participation details using the Connpass API. It provides a set of tools for LLMs to query user statistics, events attended, and presenter activities.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

Connpass User MCP Server in Action

Connpass User MCP Server

The Connpass User MCP Server is a specialized Model Context Protocol service that exposes Connpass user data to AI assistants. By wrapping the public Connpass API behind MCP, it allows developers to enrich conversational agents with real‑time information about users’ event participation, group memberships, and speaking engagements without exposing raw API keys or handling authentication logic in the client. This abstraction is especially valuable for developers building event‑centric chatbots, recommendation engines, or community analytics tools that need to pull up‑to‑date user statistics on demand.

What Problem Does It Solve?

Many AI assistants lack direct access to external event platforms. Developers must manually integrate REST APIs, manage rate limits, and secure credentials—tasks that detract from the core value of building conversational experiences. The Connpass User MCP Server removes these hurdles by offering a uniform, language‑agnostic interface that adheres to the MCP specification. It handles authentication with the Connpass API, translates request parameters into API calls, and returns structured JSON responses that can be consumed by any MCP‑compliant client.

Core Functionality

The server provides four intuitive tools, each targeting a distinct aspect of user data:

  • – Retrieves key metrics for one or more users, such as the number of events attended, events managed, presentations delivered, and bookmarked events.
  • – Lists all groups a user belongs to, including group names, URLs, descriptions, and member counts.
  • – Fetches detailed information on events a user has attended, covering title, date/time, venue, URL, and description.
  • – Provides a similar dataset for events where the user acted as a presenter.

Each tool accepts simple, human‑readable parameters (e.g., nickname strings) and returns clean JSON objects that can be directly embedded into conversational flows or visual dashboards.

Real‑World Use Cases

  • Event Recommendation Bots – An AI assistant can suggest upcoming Connpass events tailored to a user’s past attendance and interests.
  • Community Management – Moderators can query group membership statistics on demand to identify active contributors or monitor growth.
  • Speaker Profiles – Marketing teams can auto‑generate speaker bios by pulling presentation histories for newsletters or event pages.
  • Analytics Dashboards – Data scientists can stitch MCP calls into ETL pipelines, aggregating user engagement metrics across multiple platforms.

Integration with AI Workflows

Because the server follows MCP, any LLM or chatbot framework that supports MCP can invoke these tools with a single function call. The assistant can ask the user for a nickname, pass it to , and then format the response in natural language. This tight coupling eliminates boilerplate code, reduces latency (the server caches responses where appropriate), and ensures consistent error handling across all tools.

Unique Advantages

  • Zero‑Code Integration – Developers need only configure the MCP client; no custom API wrappers or OAuth flows are required.
  • Secure Credential Management – The server stores the Connpass API key internally, preventing accidental exposure in client code.
  • Extensible Architecture – New tools can be added by extending the server’s TypeScript code, and existing ones can be updated without breaking client contracts.
  • Open‑Source & MIT Licensed – The project encourages community contributions and can be forked or modified to fit niche requirements.

In summary, the Connpass User MCP Server transforms raw event data into a developer‑friendly service that plugs directly into AI assistants, enabling richer, contextually aware interactions centered around the Connpass ecosystem.