Bring Field Documentation
to LlamaIndex
Learn how to connect Memo Meister to LlamaIndex and start using 11 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the Memo Meister MCP Server?
Connect your Memo Meister account to any AI agent and manage field documentation and project files through natural conversation.
What you can do
- Project Management — Create and manage project folders and workspaces
- Memo Management — Create, read, and organize documentation memos
- File Handling — Access images, PDFs, and field reports attached to memos
- Task Tracking — Monitor task statuses and comments within projects
- Search — Query projects and memos using GraphQL
How it works
1. Subscribe to this server
2. Enter your Memo Meister API Key
3. Start managing field documentation from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Construction & Trades — document field work with photos and memos
- Project Managers — track progress and centralize project files
- Field Service — automate report generation and file organization
Built-in capabilities (11)
Add a comment to a memo
Create a new memo in a project
Delete a memo
Get information about the current authenticated user
Get details of a specific memo
Get details of a specific project
List comments on a memo
List files attached to a memo
List memos (notes) in a project
List all projects (memosets) in MemoMeister
Update an existing memo
Why LlamaIndex?
LlamaIndex agents combine Memo Meister tool responses with indexed documents for comprehensive, grounded answers. Connect 11 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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Data-first architecture: LlamaIndex agents combine Memo Meister tool responses with indexed documents for comprehensive, grounded answers
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Query pipeline framework lets you chain Memo Meister tool calls with transformations, filters, and re-rankers in a typed pipeline
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Multi-source reasoning: agents can query Memo Meister, a vector store, and a SQL database in a single turn and synthesize results
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Observability integrations show exactly what Memo Meister tools were called, what data was returned, and how it influenced the final answer
Memo Meister in LlamaIndex
Memo Meister and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Memo Meister to LlamaIndex through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 3,400+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Memo Meister in LlamaIndex
The Memo Meister MCP Server runs on Vinkius-managed infrastructure inside AWS — a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts. All 11 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in LlamaIndex only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
How Vinkius secures
Memo Meister for LlamaIndex
Every tool call from LlamaIndex to the Memo Meister MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I read and create project memos?
Yes. Create text memos, attach files, and organize them within specific project folders.
What API does Memo Meister use?
Memo Meister uses a custom API Key header against a GraphQL endpoint at api.memomeister.com/graphql.
Can I search for specific field reports?
Yes. Query the GraphQL API to search memos by tags, content, or project assignment.
How does LlamaIndex connect to MCP servers?
Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
Can I combine MCP tools with vector stores?
Yes. LlamaIndex agents can query Memo Meister tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
Does LlamaIndex support async MCP calls?
Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.
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Install: pip install llama-index-tools-mcp