Claude Session Memory Indexer Connector for AI agents.
3 live capabilities
Give your coding agent long-term memory for project context
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Why people use Claude Session Memory Indexer
Stop losing coding context with Claude Session Memory Indexer
With this MCP, that friction disappears. You simply tell your agent to remember a pattern, and it's done. When you come back tomorrow, the agent already knows the rules of the road. You get a teammate that actually grows with your project instead of a stranger you have to retrain every single morning.
What Vinkius changes
Your agent finally remembers your project's specific rules and commands across every new session.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,100+ Connectors
- Real-world use case 01
Recovering lost build commands
You forget the exact flags needed for a complex Docker build.
- Real-world use case 02
Solving recurring bugs
A specific database connection error pops up again.
- Real-world use case 03
Enforcing project conventions
You start a new session and ask about file naming.
Complete set · 3capabilities
The complete Claude Session Memory Indexer capability set.
These are the exact actions your AI can choose when you ask it to work with Claude Session Memory Indexer.
01—03
3 capabilities in this set.
Part of 3 available through Claude Session Memory Indexer.
- 01 Capability
Get project context
Identifies the unique ID of your current project. This ensures all saved memories stay strictly within the correct codebase.
- 02 Capability
Index learning
Saves a new insight or command into long-term storage. This lets your agent remember a fix or a pattern for the future.
- 03 Capability
Query memories
Searches through all saved project knowledge. It finds the most relevant past learnings based on what you are currently doing.
Set up in minutes
One URL. Then ask Claude Session Memory Indexer to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Claude Session Memory Indexer from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_BjVkHByUnS0ST7LAlvTWGv4MSyAsDF6XkgfthZwR/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Claude Session Memory Indexer, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Claude Session Memory Indexer for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_BjVkHByUnS0ST7LAlvTWGv4MSyAsDF6XkgfthZwR/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Claude Session Memory Indexer URL.
- Step 03
Save and start
Save the connection and enable Claude Session Memory Indexer in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"claude-session-memory-indexer": {
"url": "https://edge.vinkius.com/vk_preview_BjVkHByUnS0ST7LAlvTWGv4MSyAsDF6XkgfthZwR/mcp"
}
}
}- Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using Claude Session Memory Indexer
Open Agent mode in chat and ask: "Using Claude Session Memory Indexer, help me...". 3 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"claude-session-memory-indexer": {
"url": "https://edge.vinkius.com/vk_preview_BjVkHByUnS0ST7LAlvTWGv4MSyAsDF6XkgfthZwR/mcp"
}
}
}- Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Claude Session Memory Indexer
Ask Copilot: "Using Claude Session Memory Indexer, help me...". 3 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"claude-session-memory-indexer": {
"url": "https://edge.vinkius.com/vk_preview_BjVkHByUnS0ST7LAlvTWGv4MSyAsDF6XkgfthZwR/mcp"
}
}
}- Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Claude Session Memory Indexer
Open Cascade and ask: "Using Claude Session Memory Indexer, help me...". 3 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"claude-session-memory-indexer": {
"url": "https://edge.vinkius.com/vk_preview_BjVkHByUnS0ST7LAlvTWGv4MSyAsDF6XkgfthZwR/mcp"
}
}
}- Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Claude Session Memory Indexer
Ask Cline: "Using Claude Session Memory Indexer, help me...". 3 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add claude-session-memory-indexer --transport http "https://edge.vinkius.com/vk_preview_BjVkHByUnS0ST7LAlvTWGv4MSyAsDF6XkgfthZwR/mcp"- Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Claude Session Memory Indexer
Ask Claude: "Using Claude Session Memory Indexer, show me...". 3 tools are ready
Where the request belongs
Work Claude Session Memory Indexer can move forward.
Software engineers and developers who are tired of re-teaching their AI agents the same project-specific details every time they start a new coding session.
Full-stack Developer
Uses it to keep track of complex local environment setups and specific CLI commands across multiple feature branches.
DevOps Engineer
Stores recurring deployment patterns and infrastructure quirks so the agent can assist with troubleshooting faster.
Software Architect
Ensures project-wide naming conventions and architectural patterns are consistently applied by AI agents in every session.
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Store, share, and collaborate on files securely with enterprise-grade cloud content management and governance controls.
Bring your own AI
Change the model, client or framework. Keep Claude Session Memory Indexer connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
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Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
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BoltAI -
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Jan -
LM Studio -
AnythingLLM -
Open WebUI -
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Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about Claude Session Memory Indexer.
The practical details behind the request, access and result.
How does Claude Session Memory Indexer help with coding?
It allows your AI agent to remember specific project details like build commands and debugging patterns across different chat sessions.
Will this MCP mix up my different projects?
No. It uses project-specific identification to ensure that memories saved for one codebase stay isolated and don't leak into another project.
Can I use this with Cursor or VS Code?
Yes, you can use this with any MCP-compatible client, including Cursor, VS Code, and Windsurf.
How do I save a new command for my agent to remember?
You can simply tell your agent to save a specific insight or command, and it will use the indexing capability to store it for future sessions.
Does this work for debugging recurring errors?
Yes. Once you've identified a fix for a bug, you can save that insight so the agent can suggest the same solution if the error reappears.
How does the system ensure memories don't leak between projects?
The system uses a unique project hash generated from your CLAUDE.md and directory structure. This ensures that index_learning only stores and retrieves memories belonging to the specific project context.
Can I filter my search by specific categories?
Yes, when using query_memories, you can provide a categoryFilter to narrow down results to specific groups like build_commands or project_conventions.
What happens if I save a duplicate learning?
The system automatically detects near-duplicates. If a new learning has a Jaccard similarity greater than 0.9 with an existing one, it updates the existing entry instead of creating a new one.
One connection away
Give your agent a direct line to Claude Session Memory Indexer.
Connect Claude Session Memory Indexer once. Keep it beside 6,100+ managed Connectors when the next task needs more.
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