
Ragie
com.mcparmoryPublished by mcparmory.comv1.0.2Updated Oct 24, 2026
Ingest, manage, and retrieve documents for RAG-powered AI applications
Overview
Ragie MCP server that lets an assistant ingest, manage and retrieve documents for RAG-powered AI applications.
- What you can do
- Ingest documents into a Ragie knowledge base
- Manage and organize stored documents
- Retrieve relevant content for retrieval-augmented generation
- Exposes the Ragie API endpoints as MCP tools, generated from its OpenAPI spec
- When to use it
- Useful when you want an assistant to build or query a Ragie retrieval corpus — adding documents, keeping them organized, and pulling relevant passages back into answers.
- Requirements
- Runs locally as a Python package (uvx mcparmory-ragie) or as a container image; Python 3.11+ for the package. The manifest declares no authentication or environment variables, but the README says each server's own README covers credential setup, so a Ragie API key is likely needed.
Installation
In SourceWeft
- Open Ragie in the dashboard and add it to a workspace.
- Enable the server for the chats that should use its tools.
Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.
Other MCP clients
Follow the launch instructions in the repository.
README
MCP Armory Registry
Production-ready MCP servers for popular APIs, generated by MCP Blacksmith.
[GitHub Stars] [License] [Servers] [Python 3.11+]
Servers · Install & Usage · Features · How it works · License
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
🧠 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.
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.
MCP client configuration (Claude Desktop, Cursor, Codex, Claude Code):
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.
Source: README.md at commit 04af6ce
Tools
0Version history
1- v1.0.2LatestSep 16, 2026
Score
40% of the applicable checks met
How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.
- Reached in the last 30 days25 pts
Keep the endpoint answering the MCP handshake; SourceWeft probes it every 30 days.
- Auth declared10 pts
Declare the credential headers in the registry entry, or keep the endpoint answering the probe so its auth can be classified.
- Tools listed15 pts
Answer tools/list without a credential, or ship a package that starts in a sandbox without one.
- DescriptionRequired15 pts
- Logo10 pts
- Documentation15 pts
- License10 pts
Declare a license in the repository or the registry entry.