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An MCP Server to enable global access to Rememberizer
Configuration
View docs{
"mcpServers": {
"skydeckai-mcp-server-rememberizer": {
"command": "uvx",
"args": [
"mcp-server-rememberizer"
],
"env": {
"REMEMBERIZER_API_TOKEN": "YOUR_REMEMBERIZER_API_TOKEN"
}
}
}
}You can integrate Rememberizer with an MCP client to search, retrieve, and manage your documents and knowledge through a dedicated Rememberizer MCP Server. This server exposes tools to semantically search internal knowledge and to save new snippets for future recall, making it easier for large language models to access your memory repository.
Use an MCP client to connect to the Rememberizer MCP Server. You can perform semantic searches against your internal knowledge, retrieve documents, and save new pieces of information for later recall. Common workflows include finding semantically related knowledge to a prompt, listing your available documents, and quickly summarizing content.
{
"mcpServers": {
"rememberizer": {
"command": "uvx",
"args": ["mcp-server-rememberizer"],
"env": {
"REMEMBERIZER_API_TOKEN": "YOUR_REMEMBERIZER_API_TOKEN"
}
}
}
}Configuration details include the environment variable REMEMBERIZER_API_TOKEN, which authorizes access to your Rememberizer account. You should store this token securely and supply it to the MCP runtime when starting the server.
Security note: treat API tokens as highly confidential. Do not expose REMEMBERIZER_API_TOKEN in client-side code or public repositories. Rotate tokens if you suspect exposure and use scoped tokens when possible.
Troubleshooting tips:
- If the server fails to start, verify that REMEMBERIZER_API_TOKEN is correctly set in the environment.
- Ensure you are using the uvx runtime with the exact command and arguments shown.
- Check that the Rememberizer service is reachable and that the token has permission to access your personal or team knowledge base.retrieve_semantically_similar_internal_knowledge — Save a block of text and fetch semantically similar knowledge chunks from your Rememberizer repository. Input includes the text to match, optional number of results, and optional date range filters.
smart_search_internal_knowledge — Perform an agented search across your Rememberizer sources (Slack discussions, Gmail, Drive documents, uploaded files, etc.) using a query and optional context to refine results.
list_internal_knowledge_systems — List available internal knowledge integrations (e.g., Slack, Gmail, Google Drive, Dropbox, etc.).
rememberizer_account_information — Retrieve account holder name and email address for your Rememberizer repository.
list_personal_team_knowledge_documents — Get a paginated list of documents in your Rememberizer space.
remember_this — Save a named piece of text into Rememberizer so it can be recalled later by search tools.
Accepts a block of text and returns cosine-similar memory chunks from your Rememberizer repository, with optional result count and date range filters.
Performs an agent-like search across Rememberizer sources (Slack, Gmail, Drive, Dropbox, uploaded files) using a query and optional context to refine results.
Lists the available internal knowledge integrations that Rememberizer can access.
Returns account holder name and email address for your Rememberizer repository.
Retrieves a paginated list of documents stored in your Rememberizer space.
Stores a named piece of content in Rememberizer for future recall by other tools.