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Mem AI (Knowledge Workspace) MCP Server for Windsurf 12 tools — connect in under 2 minutes

Built by Vinkius GDPR 12 Tools IDE

Windsurf brings agentic AI coding to a purpose-built IDE. Connect Mem AI (Knowledge Workspace) through Vinkius and Cascade will auto-discover every tool. ask questions, generate code, and act on live data without leaving your editor.

Vinkius supports streamable HTTP and SSE.

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The modern way to manage MCP Servers — no config files, no terminal commands. Install Mem AI (Knowledge Workspace) and 2,500+ MCP Servers from a single visual interface.

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Classic Setup·json
{
  "mcpServers": {
    "mem-ai-knowledge-workspace": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}
Mem AI (Knowledge Workspace)
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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

About Mem AI (Knowledge Workspace) MCP Server

Connect your Mem.ai workspace to any AI agent and take full control of your personal and team knowledge through natural conversation.

Windsurf's Cascade agent chains multiple Mem AI (Knowledge Workspace) tool calls autonomously. query data, analyze results, and generate code in a single agentic session. Paste Vinkius Edge URL, reload, and all 12 tools are immediately available. Real-time tool feedback appears inline, so you see API responses directly in your editor.

What you can do

  • Knowledge Orchestration — Create new mems (notes) using Markdown directly from your agent, instantly transforming textual ideas into indexed knowledge vectors
  • AI Semantic Search — Leverage dense semantic similarity to find notes across your entire workspace, identifying relevant information based on meaning rather than explicit keywords
  • Deep Content Retrieval — Extract the full scalar text body and context metadata for specific mems to retrieve precise project details securely
  • Collection Management — Establish thematic groupings (Collections) and attach live mems structurally to maintain organized project boundaries natively
  • Quick Capture (Mem It) — Trigger rapid capture blocks for links, snippets, or raw thoughts, allowing your agent to log ideas without manual dashboard navigation
  • Contextual Updates — Mutate existing mem content to keep project logs and meeting notes up-to-date while preserving historical knowledge mappings
  • Resource Inventory — List all available mems or explore specific collections to understand your knowledge distribution and team documentation footprint

The Mem AI (Knowledge Workspace) MCP Server exposes 12 tools through the Vinkius. Connect it to Windsurf in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Mem AI (Knowledge Workspace) to Windsurf via MCP

Follow these steps to integrate the Mem AI (Knowledge Workspace) MCP Server with Windsurf.

01

Open MCP Settings

Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"

02

Add the server

Paste the JSON configuration above into mcp_config.json

03

Save and reload

Windsurf will detect the new server automatically

04

Start using Mem AI (Knowledge Workspace)

Open Cascade and ask: "Using Mem AI (Knowledge Workspace), help me...". 12 tools available

Why Use Windsurf with the Mem AI (Knowledge Workspace) MCP Server

Windsurf provides unique advantages when paired with Mem AI (Knowledge Workspace) through the Model Context Protocol.

01

Windsurf's Cascade agent autonomously chains multiple tool calls in sequence, solving complex multi-step tasks without manual intervention

02

Purpose-built for agentic workflows. Cascade understands context across your entire codebase and integrates MCP tools natively

03

JSON-based configuration means zero code changes: paste a URL, reload, and all 12 tools are immediately available

04

Real-time tool feedback is displayed inline, so you see API responses directly in your editor without switching contexts

Mem AI (Knowledge Workspace) + Windsurf Use Cases

Practical scenarios where Windsurf combined with the Mem AI (Knowledge Workspace) MCP Server delivers measurable value.

01

Automated code generation: ask Cascade to fetch data from Mem AI (Knowledge Workspace) and generate models, types, or handlers based on real API responses

02

Live debugging: query Mem AI (Knowledge Workspace) tools mid-session to inspect production data while debugging without leaving the editor

03

Documentation generation: pull schema information from Mem AI (Knowledge Workspace) and have Cascade generate comprehensive API docs automatically

04

Rapid prototyping: combine Mem AI (Knowledge Workspace) data with Cascade's code generation to scaffold entire features in minutes

Mem AI (Knowledge Workspace) MCP Tools for Windsurf (12)

These 12 tools become available when you connect Mem AI (Knowledge Workspace) to Windsurf via MCP:

01

add_mem_to_collection

Attach live Mems structurally inside explicitly mapped Collections

02

create_collection

Establish new logical thematic groupings mapping notes

03

create_mem

ai. Converts plain textual knowledge to indexed vectors immediately mapped implicitly via AI. Create a new mem (note) in Mem.ai using Markdown

04

delete_mem

No recovery is possible via API. Irreversibly vaporize a mem document globally

05

get_collection

Inspect specific Collection metadata elements

06

get_mem

Retrieve explicit full context metadata by target Mem ID

07

list_collection_mems

Query ALL explicit Mem bodies inside specific Collections

08

list_collections

Query explicitly tracked thematic Collections arrays

09

list_mems

Returns identifiers and raw bodies. Careful, this returns heavy payloads. List all raw mems across the global workspace

10

mem_it

Quick capture shortcut generating automated blocks

11

search_mems

AI semantic search looking into all indexed knowledge

12

update_mem

Replaces absolute text values so ensure `get_mem` was run to append rather than destroy inadvertently. Update pre-existing mem content natively swapping strings

Example Prompts for Mem AI (Knowledge Workspace) in Windsurf

Ready-to-use prompts you can give your Windsurf agent to start working with Mem AI (Knowledge Workspace) immediately.

01

"Search my mems for anything related to 'quarterly business review'"

02

"Create a new mem with today's standup notes in Markdown"

03

"List all my thematic collections in Mem"

Troubleshooting Mem AI (Knowledge Workspace) MCP Server with Windsurf

Common issues when connecting Mem AI (Knowledge Workspace) to Windsurf through the Vinkius, and how to resolve them.

01

Server not connecting

Check Settings → MCP for the server status. Try toggling it off and on.

Mem AI (Knowledge Workspace) + Windsurf FAQ

Common questions about integrating Mem AI (Knowledge Workspace) MCP Server with Windsurf.

01

How does Windsurf discover MCP tools?

Windsurf reads the mcp_config.json file on startup and connects to each configured server via Streamable HTTP. Tools are listed in the MCP panel and available to Cascade automatically.
02

Can Cascade chain multiple MCP tool calls?

Yes. Cascade is an agentic system. it can plan and execute multi-step workflows, calling several tools in sequence to accomplish complex tasks without manual prompting between steps.
03

Does Windsurf support multiple MCP servers?

Yes. Add as many servers as needed in mcp_config.json. Each server's tools appear in the MCP panel and Cascade can use tools from different servers in a single flow.

Connect Mem AI (Knowledge Workspace) to Windsurf

Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.