Multimodal RAG for source-backed AI answers MCP Server
Calypso Multimodal RAG MCP Server
The easiest hosted multimodal RAG MCP server for Claude Desktop, Cursor, and agent workflows.
One npx command. Gemini File Search-powered. Handles PDFs, screenshots, charts, diagrams, and images natively with verifiable citations.
The easiest way to add hosted multimodal RAG to Claude, Cursor, Windsurf, and custom agents.
- Super simple setup:
npx -y @calypsohq/multimodal-rag-mcp-server --api-key sk-your-key-here - True multimodal RAG: handles text and visuals natively through Gemini File Search
- Upload and query: dedicated tools for durable knowledge files and batch uploads
- Multi-turn conversations: context-aware answers with
/newreset - Discoverable workflows: resources and prompts for safe RAG, upload, and ingestion flows
GitHub | Docs | Smithery | Official MCP Registry
Tags: multimodal-rag, easiest-mcp-rag, gemini-rag, hosted-rag-mcp, mcp-server
Instead of wiring each agent or workflow to a one-off document search stack, use this MCP as the agent-facing entry point to one reusable answer layer: upload source material once, retrieve across text and visual content, and return answers with evidence users can verify.
Quick Start (Easiest)
# One-liner with npx
npx -y @calypsohq/multimodal-rag-mcp-server --api-key "sk-your-key-here"
Or with environment variables:
CALYPSO_API_KEY="sk-..." npx -y @calypsohq/multimodal-rag-mcp-server
Then add the same command to Claude Desktop, Cursor, or Smithery using the configuration examples below.
Why Choose Calypso
Calypso is built for teams that want the easiest hosted multimodal RAG MCP server: no local vector stack, no Docker compose, and no custom OCR or image-processing pipeline before agents can ask grounded questions.
| Feature | Calypso | rag-anything-mcp | Pixeltable | | --- | --- | --- | --- | | Setup | 1 npx command (zero infra) | Clone + Python | Docker Compose | | Multimodal | Native Gemini File Search (text + images, charts, diagrams, PDFs) with no extra vision pipeline | Strong OpenAI vision-based document RAG | Excellent for video, audio, images, and tables | | Hosting | Fully hosted (self-host option) | Local-first | Local-first | | Operations | Zero-ops cloud | Requires Python setup | Requires Docker | | Upload tools | Built-in upload-session single file and batch knowledge tools | Yes | Yes | | Citations / grounding | Strong evidence trail with retrieval metadata | Yes | Yes | | Best for | Teams wanting zero-ops hosted multimodal RAG for MCP clients | Local document RAG experiments | Heavy local video/audio/data workflows |
Start here if you want the easiest hosted multimodal RAG MCP server.
What you get
- Production multimodal RAG agent with multi-turn memory
- Built-in upload tools for single files and batch knowledge uploads
- Automatic discovery of your team's RAG variants and knowledge buckets
- Verifiable citations with source references and retrieval metadata
- Read-only resources and reusable prompts for safe workflows
Why Multimodal-First RAG
Most company knowledge is not only text. The answer often lives across a setup screenshot, a PDF table, a product diagram, a help-center page, or a chart inside a report. Calypso packages that full knowledge surface into a single retrieval layer so agents can ask grounded questions without guessing from generic model memory.
- Search the formats users actually rely on: documentation, PDFs, screenshots, charts, diagrams, product images, support articles, manuals, policies, FAQs, and reports.
- Ground answers before the model writes: Gemini File Search retrieves relevant text and visual context first, then the RAG agent answers from that source material.
- Show the evidence trail: responses can include source references, page-aware grounding, and retrieval metadata so people can verify before they trust.
- Scope retrieval with metadata: use workspace, team, customer, language, file type, status, or other metadata to keep answers relevant without duplicating knowledge bases.
- Reuse the same knowledge layer everywhere: connect Cursor, Claude Desktop, AI agents, n8n workflows, product UI, support flows, and website experiences to the same source-backed layer.
In practice, this means your agent can answer questions like:
- "Explain this setup screenshot and the attached policy PDF. What should the support rep do next?"
- "What does this onboarding PDF say about approval rules?"
- "Why is this setup screen failing?"
- "Compare the pricing chart with our plan documentation and recommend the right tier."
- "Summarize the policy that applies to this support ticket."
- "Which product plan fits this customer based on our pricing docs?"
- "Compare the diagrammed ingestion flow with the retrieval flow."
What this MCP does
With calypso-rag-agent you can:
- Ask grounded questions against the configured Calypso knowledge base
- Select any discovered team RAG variant with the optional
modelargument - Continue a multi-turn conversation via the native
/v1/responsesconversation model - Reset the conversation context with
/new - Use the same OpenAI-compatible Responses endpoint that serves
calypso-rag-agent - Discover built-in resources and prompts for the supported Calypso workflows
Requirements
- Node.js 18+
- The server uses Web Fetch API primitives (
fetch,Headers,Request,Response,FormData,Blob, andFile) for API calls and SDK compatibility. The package bootstraps missing globals at startup for MCP runtimes that expose only part of the Node 18+ Web API surface. - A Calypso API endpoint that exposes:
POST /v1/responsesGET /v1/rag-agent/modelsGET /v1/knowledge/bucketsPOST /v1/knowledge/files/upload-sessionPOST /v1/knowledge/files/upload-session/{session_id}/finalizePOST /v1/knowledge/files:batch/upload-sessionPOST /v1/knowledge/files:batch/upload-session/{batch_id}/finalizeGET /v1/knowledge/batches/{batch_id}
- A Calypso API key (
sk-...)
Configuration
Environment variables:
CALYPSO_API_KEY(required)CALYPSO_API_BASE_URL(optional, defaulthttps://api.calypso.so/v1)
CLI flags:
--api-key--api-base-url
Configuration precedence:
- CLI flags / Smithery-provided command arguments
- Environment variables
- Default base URL (
https://api.calypso.so/v1)
Run with npx
npx -y @calypsohq/multimodal-rag-mcp-server --api-key "sk-..."
Run with environment variables
env CALYPSO_API_KEY="sk-..." CALYPSO_API_BASE_URL="https://api.calypso.so/v1" npx -y @calypsohq/multimodal-rag-mcp-server
Configure in Cursor
Add a new MCP server (command type) like:
npx -y @calypsohq/multimodal-rag-mcp-server --api-key sk-... --api-base-url https://api.calypso.so/v1
Configure in Claude Desktop
1. Open Claude Desktop MCP config
In Claude Desktop:
Claude -> Settings -> Developer -> Edit Config
On macOS, the file is usually:
~/Library/Application Support/Claude/claude_desktop_config.json
Claude Desktop uses claude_desktop_config.json for desktop MCP servers. Claude Code uses separate config locations such as ~/.claude.json or project-level .mcp.json.
2. Add the Calypso MCP server
Paste this into claude_desktop_config.json:
{
"mcpServers": {
"Calypso Multimodal RAG": {
"command": "npx",
"args": [
"-y",
"@calypsohq/multimodal-rag-mcp-server"
],
"env": {
"CALYPSO_API_KEY": "sk-your-calypso-api-key",
"CALYPSO_API_BASE_URL": "https://api.calypso.so/v1"
}
}
}
}
Replace:
sk-your-calypso-api-key
with your real Calypso API key.
3. Restart Claude Desktop fully
Fully quit Claude Desktop, then reopen it.
Do not only close the window. On macOS:
Cmd + Q
After restart, the MCP should appear in Claude with these tools available:
calypso-rag-agentcalypso-list-knowledge-bucketscalypso-upload-knowledge-filecalypso-upload-knowledge-files-batch
Optional: Save Claude Artifacts To Your Mac
Calypso provides hosted multimodal RAG tools. It does not write generated reports, summaries, CSVs, JSON files, or web-search artifacts directly to your local computer.
To let Claude Desktop save generated files locally, add the standard filesystem MCP server alongside Calypso and restrict it to a dedicated safe folder.
Create the folder first:
mkdir -p ~/Claude
Then add both servers to claude_desktop_config.json:
{
"mcpServers": {
"Calypso Multimodal RAG": {
"command": "npx",
"args": [
"-y",
"@calypsohq/multimodal-rag-mcp-server"
],
"env": {
"CALYPSO_API_KEY": "sk-your-calypso-api-key",
"CALYPSO_API_BASE_URL": "https://api.calypso.so/v1"
}
},
"filesystem": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-filesystem",
"/Users/yourname/Claude"
]
}
}
}
Fully quit and reopen Claude Desktop after changing the config.
Example prompt:
Use Calypso for the grounded RAG answer, then save the final report as /Users/yourname/Claude/report.md using the filesystem tool.
For safety, only grant filesystem access to a dedicated folder such as ~/Claude, not your whole home directory.
| Concern | Best Owner |
| --- | --- |
| Source-backed RAG answers | Calypso MCP |
| Uploading files into Calypso | Calypso MCP |
| Writing .md, .pdf, .json, .csv, etc. to your Mac | filesystem MCP |
| Web search artifacts from Claude | Claude plus filesystem MCP prompt |
Smithery
The server is available on Smithery and launches through the same npx package path used by desktop clients.
Smithery user config:
calypsoApiKey(required)calypsoApiBaseUrl(optional, defaults tohttps://api.calypso.so/v1)
The Smithery launch path is equivalent to:
npx -y @calypsohq/multimodal-rag-mcp-server --api-key sk-... --api-base-url https://api.calypso.so/v1
Use calypsoApiBaseUrl only when targeting a self-hosted Calypso-compatible deployment. The cloud default does not need an override.
Troubleshooting
- Missing API key: provide
--api-keyorCALYPSO_API_KEY - Wrong API host: make sure
--api-base-url/CALYPSO_API_BASE_URLends in/v1 - Self-hosted deployment: only override the base URL if you are not using
https://api.calypso.so/v1 - Smithery launch mismatch: use the packaged
npx -y @calypsohq/multimodal-rag-mcp-serverpath instead of runningnode dist/index.jsfrom a fresh clone FormData is not definedorHeaders is not defined: upgrade to the latest package. The MCP server bootstraps missing Web Fetch API globals before upload tools run.- ENOENT for
/mnt/user-data/uploads/...: that path belongs to a hosted agent or attachment sandbox, not necessarily to the MCP server. Retry withcontentBase64instead offilePath. - Local artifact saving: Calypso answers can be used with Claude Desktop's filesystem MCP server, but Claude must be explicitly asked to save the final output to an allowed local path.
Choosing filePath vs contentBase64
Use filePath for local MCP installs, including Claude Desktop and Cursor configs that launch this package with a local command such as:
npx -y @calypsohq/multimodal-rag-mcp-server
In that setup, the MCP server process runs on your machine and can read paths available to the same user account. Pass the local path directly; the server reads raw bytes and uploads them through the Calypso upload-session URL. You do not need to base64-encode local files.
Use contentBase64 for hosted or remote MCP clients, including Smithery-hosted servers, browser/cloud runtimes, generated in-memory content, and agent containers. In those environments, a path on your Mac or workstation is not readable by the MCP server process.
If a path starts with /mnt/user-data/uploads, /mnt/data, /mnt/attachments, or another hosted sandbox prefix, do not send it as filePath unless this MCP server is running in that same sandbox. Use contentBase64 or another inline byte source instead.
Available tools
calypso-rag-agent
Direct Calypso RAG agent access.
Notes:
- It does not auto-route to other personas or agents.
- It automatically discovers the API key's available
calypso-rag-agentvariants at startup. - Use the optional
modelargument to choose a named variant such ascalypso-rag-agent:pricing. - Each model variant keeps its own MCP conversation chain, so switching variants does not continue the wrong thread.
- It uses
POST /v1/responsesinstead ofPOST /v1/chat/completions. - First turns create a named conversation, and follow-up turns chain with
previous_response_id. - Optional
fileIdsare supported for retrieval-scoped questions. New uploads should use the durable knowledge upload tools and wait for indexing before asking. - Use
/newas the prompt to reset the MCP conversation.
calypso-list-knowledge-buckets
Lists knowledge buckets for the team tied to the configured Calypso API key.
Notes:
- Uses
GET /v1/knowledge/buckets. - Does not accept
team_id; Calypso derives team scope from the API key. - Returns bucket ids, slugs, names, status, member counts, source counts, and bucket-store readiness.
- Defaults to active buckets only. Pass
includeArchived: truewhen you need archived buckets for audits or cleanup. - Use this before
calypso-upload-knowledge-fileorcalypso-upload-knowledge-files-batchwhen you need to choose a destination bucket. calypso://rag-agent-modelsanswers which buckets are bound to each RAG variant.calypso-list-knowledge-bucketsanswers which buckets exist for the API key's team.
Example:
{
"includeArchived": false
}
calypso-upload-knowledge-file
Uploads a file into the durable bucket-backed knowledge store and indexing pipeline.
Notes:
- Uses
POST /v1/knowledge/files/upload-session, uploads bytes directly to storage, then finalizes withPOST /v1/knowledge/files/upload-session/{session_id}/finalize. - Uploads use JSON session requests plus signed binary
PUTs, not multipart form uploads. - Returns knowledge-file and task metadata, not a chat attachment
file_id. - Requires one bucket destination via
bucketIds,bucketSlugs, orbucket. - Use
filePathfor local Claude Desktop/Cursor MCP installs where the server can read the path. UsecontentBase64for hosted or remote MCP clients that cannot read local paths. - If an agent sees a path like
/mnt/user-data/uploads/file.pdf, it should not send that asfilePath; it should send the file bytes ascontentBase64. - Supports optional
title,tags,metadata, andidempotencyKey. - Route uploads into existing buckets with
bucketIdsorbucketSlugs, or usebucketas a single-slug shortcut. - Pass
createMissingBuckets: truewith bucket slugs when you want Calypso to create missing destinations during upload. - Can optionally wait until indexing reaches a ready state before returning.
Example:
{
"filename": "handbook.pdf",
"mimeType": "application/pdf",
"filePath": "/Users/me/Documents/handbook.pdf",
"bucket": "support-handbook",
"createMissingBuckets": true,
"waitForIndexing": true
}
calypso-upload-knowledge-files-batch
Uploads 1 to 100 files into the durable knowledge store in one request.
Notes:
- Uses
POST /v1/knowledge/files:batch/upload-session, uploads each accepted item directly to storage, then finalizes withPOST /v1/knowledge/files:batch/upload-session/{batch_id}/finalize. - Uploads use JSON session requests plus signed binary
PUTs, not multipart form uploads. - Requires
batchIdempotencyKey; Calypso uses it to derive the durable batch id for retries. - Requires a shared bucket destination via
bucketIds,bucketSlugs, orbucket, unless every item provides its own bucket destination. - Supports shared
bucketIds,bucketSlugs,bucket, andcreateMissingBucketsdefaults, plus per-item overrides. - Use per-item
filePathfor local Claude Desktop/Cursor MCP installs where the server can read each path. Use per-itemcontentBase64for hosted or remote MCP clients that cannot read local paths. - Generates Firestore-safe
client_file_idvalues whenclientFileIdis omitted. acceptedorqueuedmeans the upload is durable, not necessarily query-ready. UsewaitForBatchReady: trueto pollGET /v1/knowledge/batches/{batch_id}?include_items=true.- Inspect per-item status,
bucketSyncStatus, andbucketSyncto distinguish indexed content from bucket-ready retrieval.
Example:
{
"batchIdempotencyKey": "kb-seed-2026-06-04",
"bucket": "support-handbook",
"createMissingBuckets": true,
"items": [
{
"filename": "faq.txt",
"mimeType": "text/plain",
"filePath": "/Users/me/Documents/faq.txt"
}
],
"waitForBatchReady": true
}
Available resources
calypso://server-info
Read-only server metadata, including package version, API base URL, transport, authentication model, and exposed capabilities.
calypso://rag-agent-models
Read-only runtime catalog of team-scoped calypso-rag-agent model variants discovered from the configured API key, including each variant's active buckets, bucket_ids, and missing_bucket_ids. If discovery is unavailable, this resource falls back to the base calypso-rag-agent.
calypso://knowledge-buckets
Read-only runtime list of knowledge buckets for the team tied to the configured API key. Use it to inspect bucket ids/slugs and bucket-store readiness before uploads.
calypso://workflows
A compact guide to the supported RAG and knowledge-file workflows.
calypso://security
Operational security notes for API keys, local file reads, uploads, and logging.
Available prompts
calypso-knowledge-question: draft a grounded knowledge-base question forcalypso-rag-agentcalypso-knowledge-ingestion: prepare a durable knowledge-store upload and follow-up querycalypso-reset-conversation: start a clean RAG thread with/new
Common workflows (copy/paste)
Knowledge retrieval
- Summarize a topic:
Summarize the knowledge base guidance for campaign approvals
- Ask for a specific answer:
What does our documentation say about indexing retries?
- Compare two concepts:
Compare file indexing with retrieval execution in the current architecture
- Start a fresh thread:
/new
Multi-turn follow-up
- Refine a previous answer:
Focus only on the ingestion path and ignore retrieval
- Ask for sources or justification:
Explain which documented components are involved and why
Knowledge-store file flow
- Discover buckets:
- Call
calypso-list-knowledge-bucketsor readcalypso://knowledge-bucketsbefore choosing a destination
- Call
- Upload durable knowledge:
- Call
calypso-upload-knowledge-filewith the file payload and optionaltitle,tags, ormetadata - Prefer
filePathfor local Claude Desktop/Cursor MCP installs; usecontentBase64for hosted or remote MCP clients that cannot read local paths
- Call
- Route knowledge into buckets:
- Use
bucket: "support-handbook"for one destination,bucketSlugsfor multiple slug-based destinations, orbucketIdswhen you already have stable bucket ids
- Use
- Create bucket destinations on demand:
- Add
createMissingBuckets: truewhen using slug-based bucket assignment and the destination may not exist yet
- Add
- Wait for indexing:
- Pass
waitForIndexing: trueif you want the tool to block until the knowledge file is indexed
- Pass
Knowledge-store batch flow
- Upload many durable files:
- Call
calypso-upload-knowledge-files-batchwithitems,batchIdempotencyKey, andfilePathper item for local MCP installs; usecontentBase64per item for hosted or remote MCP clients
- Call
- Route the batch into buckets:
- Put shared
bucket,bucketSlugs,bucketIds, orcreateMissingBucketson the tool call, then override per item only when needed
- Put shared
- Wait for query readiness:
- Use
waitForBatchReady: trueand inspect returned item status plus bucket sync fields before querying fresh content
- Use
Tips
- Start over: use
/newto reset the MCP conversation (newconversation_id+ cleared response chain).