mcpField
T
Text Summarizer

Text Summarizer

Remote
github.com/garyedgingtonMemory & Knowledge0
Repository

About Text Summarizer

Text Summarizer condenses long-form content into structured, actionable summaries so AI agents and applications can work with information faster and at lower cost. Feed it meeting notes, research articles, documentation, JSON payloads, or Markdown files and get back a clean summary

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://web-production-78e17.up.railway.app/sse
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.

Tools

2
ParameterTypeRequiredDescription
inputstringYes
input_typeenumNotext | markdown | json
formatenumNoprose | bullets | headline | tldr
lengthenumNobrief | medium | detailed
target_wordsanyNo
explainbooleanNo

Details

The maintainer has not added details yet. Check the README in the repository.

Comments

Markdown supported

New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.