com.mcparmory/ragie MCP Server
com.mcparmory/ragie
Ingest, manage, and retrieve documents for RAG-powered AI applications
What is the com.mcparmory/ragie MCP server?
The Ragie MCP server enables AI agents to ingest, manage, and retrieve documents for retrieval-augmented generation (RAG) applications. It provides tools to handle document lifecycle management and integration with RAG-powered AI systems.
Ragie is an MCP server that connects AI agents to document management and retrieval capabilities for RAG applications. Use it to programmatically ingest documents, organize them, and retrieve relevant content to augment AI model responses with external knowledge.
How to install com.mcparmory/ragie
Copy-paste configuration for popular MCP clients.
Use cases
- Ingest and index documents for RAG-powered chatbots
- Retrieve relevant document excerpts to augment AI responses
- Manage document collections for knowledge base applications
- Build AI systems that reference external documents
- Automate document processing workflows for AI agents
com.mcparmory/ragie MCP server FAQ
Ragie is an MCP server that provides document ingestion, management, and retrieval capabilities for RAG (retrieval-augmented generation) powered AI applications.
Install via pip with `pip install mcparmory-ragie` or use uvx with `uvx mcparmory-ragie`. An OCI image is also available at `ghcr.io/mcparmory/ragie:1.0.2`.
Add the server to your MCP client configuration JSON with the command `uvx mcparmory-ragie` and set any required environment variables (typically API credentials).
Ragie requires API credentials; see the server's README for specific authentication setup instructions.
Ragie is an open-source MCP server (MIT License), but it connects to the Ragie API which may have its own pricing and terms of service.
You can ingest documents, manage document collections, retrieve relevant content for RAG applications, and integrate document-based knowledge into AI agent workflows.
README (reference)
Source of truth, from the repository.
MCP servers that connect AI agents to real-world APIs. Each server is a standalone Python package — generated from the upstream OpenAPI spec using MCP Blacksmith and tested against the live API before release. Hosted on MCP Armory or run independently.
<!-- SERVERS:BEGIN -->Servers
🧠 AI & Machine Learning ElevenLabs · Linkup · Parallel · Perplexity AI · Ragie · Replicate
📊 Analytics Ahrefs · Datadog · Google Analytics · Google Search Console · Linkly · Mixpanel · PostHog
⛓️ Blockchain & Crypto Alchemy NFT
💼 CRM & Sales Apollo
💬 Communication Atlassian Confluence · Google Gmail · MailerSend · Mailtrap · Postmark · Resend · Slack
🗄️ Data & Databases Enigma · Pinecone
🛠️ Developer Tools AgentQL · Apify · Bitbucket · Bright Data · Browserbase · BuiltWith · Canvas · CircleCI · Codacy · Contentful Management · ConvertAPI · E2B · Firecrawl · GitHub · GitLab · LaunchDarkly · Postman · Scrapingant · Semrush AppCenter · Sentry
📄 Documents & Printing PDF.co
🛒 E-commerce Shopify Admin
💰 Finance Alpha Vantage · Polygon · Ramp
👥 HR & Recruiting BambooHR
☁️ Infrastructure Globalping · Grafana · PagerDuty · Rootly · Runpod
⚖️ Legal & Compliance NetLicensing
🗺️ Maps & Location Google Maps Platform · IP2Location.io IP Geolocation · OpenCage Geocoding
📣 Marketing Customer.io Journeys Track · Klaviyo
🎬 Media & Entertainment Canva · Perigon
✅ Productivity Airtable · Asana · Atlassian Jira · ClickUp · Figma · Google Sheets · Miro · Notion · Outline · Shortcut
🔍 Search Algolia Search · Google Search
📦 Storage Box · Files.com · Google Drive
📌 Other Close
More servers are being added continuously.
<!-- SERVERS:END -->Install & Usage
Every server is a standalone PyPI package (mcparmory-<server-name>). Each server's own README.md has full credential setup and configuration instructions.
# With uvx (no install needed)
uvx mcparmory-github
# With pip
pip install mcparmory-github
mcparmory-github
MCP client configuration (Claude Desktop, Cursor, Codex, Claude Code):
{
"mcpServers": {
"github": {
"command": "uvx",
"args": ["mcparmory-github"],
"env": {
"BEARER_TOKEN": "ghp_your_token_here"
}
}
}
}
Features
Every server in this registry provides:
- Full API coverage — all endpoints from the OpenAPI spec are exposed as MCP tools
- Authentication — API key, Bearer token, Basic auth, OAuth2, JWT, OpenID Connect, and mutual TLS
- Multi-auth — servers that support multiple auth methods let you configure whichever you prefer
- Pydantic validation — request parameters are validated before sending to the API
- Resilience — configurable retries with exponential backoff, connection pooling, and timeouts
- Response sanitization — optional redaction of sensitive fields from API responses
How servers are generated
Servers are generated by MCP Blacksmith, an automated pipeline that:
- Parses an OpenAPI specification
- Transforms operations through LLM-driven passes (naming, parameter filtering, enhancement, classification)
- Generates a complete MCP server with auth, models, validation, and configuration
- Tests every tool against the live API using an autonomous agent
- Deploys passing servers to this registry
The generator targets Python 3.11+ and uses FastMCP as the MCP framework.
Contributing
Servers are auto-generated — don't edit server code directly. If you find an issue, open a GitHub Issue describing:
- Broken or deprecated endpoints
- Missing or incorrect parameters
- Authentication problems
- Incorrect request/response models
We'll re-generate the affected server with the fix. To request a new server, open an issue with a link to the API's OpenAPI spec or documentation.
License
Each generated server is released under the MIT License. The underlying APIs have their own terms of service — see individual server READMEs for details.
<p align="center"> <a href="https://mcparmory.com">MCP Armory</a> · <a href="https://mcpblacksmith.com">MCP Blacksmith</a> · <a href="https://docs.mcpblacksmith.com/quickstart">Docs</a> </p>
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