jellyfish-mcp: A Jellyfish MCP Server

@Jellyfish-AI

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基本信息

分类

其他

许可证

MIT

传输方式

stdio

作者

Jellyfish-AI

关于 jellyfish-mcp: A Jellyfish MCP Server

Jellyfish MCP server

#jellyfish#mcp #api-server

jellyfish-mcp: A Jellyfish MCP Server 配置

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jellyfish-mcp: A Jellyfish MCP Server 工具

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概览

What is jellyfish-mcp?

A Model Context Protocol server for retrieving and analyzing data from Jellyfish’s API. It enables natural language queries about engineering metrics, team data, and other Jellyfish information via hosts like Claude Desktop or Cursor.

How to use jellyfish-mcp?

Install by downloading the .mcpb extension for Claude Desktop or use npx jellyfish-mcp-server@latest (or Docker) for other hosts. The server exposes numerous tools corresponding to Jellyfish API endpoints.

Key features of jellyfish-mcp

Retrieves Jellyfish API schema and current date
Queries company, person, and team metrics
Lists and searches teams, people, and deliverables
Analyzes AI adoption and impact analytics
Searches help center articles

Use cases of jellyfish-mcp

Ask “What were our company metrics in May 2026?” and get a natural language answer
Request a list of all teams in your organization
Find unlinked pull requests for the last month
Retrieve sprint summaries and devex insights per team
Generate branded engineering investment dashboards (via optional Skills)

常见问题

Do I need to install PromptGuard before using jellyfish-mcp?

PromptGuard is not bundled with the server. We recommend configuring it before daily use — see PROMPTGUARD.md for setup and SECURITY.md for details.

How do I install jellyfish-mcp for Claude Desktop?

Download the `.mcpb` extension from the latest release and double-click to install. For other hosts use `npx jellyfish-mcp-server@latest` or Docker.

What tools does jellyfish-mcp provide?

It provides tools for API schema, current date, AI impact, allocations, delivery, devex, metrics, people, teams, and help center – each corresponding to a specific Jellyfish API endpoint.

Are the optional Skills safe to use?

Skills may ask the LLM to author HTML from Jellyfish data. Because the HTML is generated, using a skill means trusting that both the data and the model’s output are safe. Skills are installed separately and are entirely optional.

Where can I find the full security considerations?

Refer to SECURITY.md in the repository for known risks and limitations before using this server.

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