ragknowledge-basesearchdata-connectorsmcp
Ingests data from work tools and the web into Graphlit for MCP-based search, retrieval, and RAG workflows.
Quick Install
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Manual Client & Custom JSON ConfigExpand JSON ā¾
Client Config & Setup
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Target File:
š” Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
Overview
Use cases
Ingest Slack and GitHub knowledge for agent search
Search project documents and conversations through MCP
Build a RAG workflow across product-management tools
Crawl websites and retrieve relevant sources
Extract structured JSON from ingested text
Key features
Multi-source content ingestion
Project and collection search
RAG conversation prompting
Web crawling and search
Document extraction and media transcription
Content and feed management
Capabilities & Tool Schemas
Inspect callable tools, capabilities, and parameters exposed to AI agents by Graphlit MCP Server.
Extracted Tool Capabilities
Multi-source content ingestion
Project and collection search
RAG conversation prompting
Web crawling and search
Document extraction and media transcription
Content and feed management
How Graphlit MCP Server works
What graphlit-mcp-server MCP server does
The graphlit-mcp-server MCP server exposes Graphlit capabilities through the Model Context Protocol. It lets an MCP client add content to a Graphlit project, search that project, retrieve relevant sources, and manage collections, feeds, conversations, and other project resources.
Supported ingestion types include files, web pages, messages, posts, emails, issues, text, and short-term memory. The listed connectors cover Slack, Discord, Microsoft Teams, Outlook, Gmail, Notion, Reddit, Linear, Jira, GitHub, Google Drive, OneDrive, SharePoint, Dropbox, Box, Twitter/X, and podcast RSS feeds. The material also identifies built-in web crawling, web search, web mapping, and page screenshots.
How it works
The server uses a Graphlit project as the shared knowledge store. Content imported into that project can be queried through MCP tools, including searches across contents, collections, feeds, and conversations. Agents can also retrieve relevant sources, find similar images, visually describe images, prompt an LLM conversation, and extract structured JSON from text.
During ingestion, PDF, DOCX, PPTX, and other documents are extracted into Markdown. HTML pages are handled similarly, while audio and video are transcribed. Graphlit operations also include creating and editing collections, deleting content or feeds, checking processing status, and configuring the project.
Setup and configuration
The graphlit-mcp-server MCP server requires Node.js, with version 18 or later recommended, and an active Graphlit Platform account with access to the API settings dashboard. Install the npm package through an MCP client configuration using npx -y graphlit-mcp-server.
Set these environment variables for authentication and project configuration:
GRAPHLIT_ENVIRONMENT_ID: Graphlit environment identifier.GRAPHLIT_ORGANIZATION_ID: Graphlit organization identifier.GRAPHLIT_JWT_SECRET: Secret used to sign the JWT token.
The README provides configurations for VS Code, Windsurf, Cline, and Cursor. Values for the organization ID, environment ID, and JWT secret are obtained from the Graphlit Platform API settings dashboard.
Tools and capabilities
Available tool groups include retrieval, RAG, extraction, publishing, ingestion, data connectors, web operations, notifications, project operations, and enumerations. Publishing tools can produce audio through ElevenLabs or images through OpenAI image generation. Notification destinations include Slack, email, webhooks, and Twitter/X.
Enumeration tools can list resources such as Slack channels, Microsoft Teams teams and channels, SharePoint libraries and folders, Linear projects, Notion databases and pages, cloud-storage folders, Discord guilds and channels, and Google or Microsoft calendars. The server also exposes MCP resources for projects, contents, feeds, collections, workflows, conversations, and specifications.
Limitations and notes
The graphlit-mcp-server MCP server depends on the Graphlit Platform account and its configured credentials; the provided material does not describe an offline or local-only mode. Connector availability may depend on the corresponding Graphlit project configuration, but the README does not specify separate setup steps for each source. Claude Desktop compatibility and pricing are not stated in the provided material.
Related MCP Servers
Adoption & maintenance
Factual signals from GitHub, npm, and our automated checks ā not a rating.
GitHub stars
379
Stargazers on the source repository.
npm downloads
800
Package downloads in the last 30 days.
Last commit
8mo ago
Most recent push to the default branch.
Directory activity
4 views
Config copies, upvotes, and views on AllMCPs.
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Frequently Asked Questions about Graphlit MCP Server
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CategoryKnowledge & Memory
PricingBring your own API key (usage-based cost)
11/11 checks healthy over the last 34d
57Quality signal: Good Ā· 57/100How this signal is calculated ā¾
Server availabilityNot measured
Not scored for repo-hosted servers ā we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.
Verified ownership10/20
Documentation & tools24/30
Adoption & activity8/15
Community engagement1/10
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Scanned 18d ago via OSV.dev Ā· graphlit-mcp-server (npm)
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