graphlit/graphlit-mcp-server

Score: 26.4 Rank #8241

Model Context Protocol (MCP) Server for Graphlit Platform

Overview

graphlit/graphlit-mcp-server is a TypeScript MCP server licensed under MIT. Model Context Protocol (MCP) Server for Graphlit Platform Topics: claude, content-extraction, content-ingestion, data-collection, llm-tools, mcp-server, model-context-protocol, search-api, unstructured-data, web-crawler, web-scraping.

Ranked #8241 out of 25632 indexed tools.

Ecosystem

TypeScript MIT

claudecontent-extractioncontent-ingestiondata-collectionllm-toolsmcp-servermodel-context-protocolsearch-apiunstructured-dataweb-crawlerweb-scraping

Signal Breakdown

Stars 372

Freshness 2mo ago

Issue Health 0%

Contributors 4

Dependents 3

Forks 52

Description Good

License MIT

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Details

Stars: 372
Forks: 52
Open Issues: 3
Closed Issues: 0
Contributors: 4
Dependents: 3
Language: TypeScript
License: MIT
Last Commit: 2mo ago

Matched Queries

"mcp server""mcp-server""model context protocol""model-context-protocol"

From the README

# Model Context Protocol (MCP) Server for Graphlit Platform

## Overview

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. This document outlines the setup process and provides a basic example of using the client.

Ingest anything from Slack, Discord, websites, Google Drive, email, Jira, Linear or GitHub into a Graphlit project - and then search and retrieve relevant knowledge within an MCP client like Cursor, Windsurf, Goose or Cline.

Your Graphlit project acts as a searchable, and RAG-ready knowledge base across all your developer and product management tools.

Documents (PDF, DOCX, PPTX, etc.) and HTML web pages will be extracted to Markdown upon ingestion. Audio and video files will be transcribed upon ingestion.

Web crawling and web search are built-in as MCP tools, with no need to integrate other tools like Firecrawl, Exa, etc. separately.

You can read more about the MCP Server use cases and features on our [blog](https:

Read full README on GitHub →

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