pensyve MCP Server

How to use pensyve MCP Server

pip install pensyve          # Python (PyPI)
npm install @pensyve/sdk     # TypeScript (npm)
go get github.com/major7apps/pensyve/pensyve-go@latest  # Go

# Smithery configuration — https://smithery.ai/docs/build/project-config/smithery-yaml
# Pensyve: Universal memory runtime for AI agents
#
# Primary interface: Remote MCP server (Streamable HTTP)
#   Endpoint: https://mcp.pensyve.com/mcp
#   Auth: API key (psy_ prefix) via PENSYVE_API_KEY env var
#   Sign up: https://pensyve.com
#
# Local fallback: cargo install pensyve-mcp (stdio, offline, Apache-2.0)

startCommand:
  type: http
  configSchema:
    type: object
    required:
      - pensyveApiKey
    properties:
      pensyveApiKey:
        type: string
        description: "Pensyve API key (starts with psy_). Get one at pensyve.com/settings/api-keys"
  url: "https://mcp.pensyve.com/mcp"
  headers:
    Authorization: "Bearer ${pensyveApiKey}"

What is pensyve MCP Server?

pensyve is a Rust MCP server for Cursor, Windsurf, VS Code with npx, uvx/pip, git clone. Universal memory runtime for AI agents This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.

Key capabilities

• Tool access support
• Includes SKILL.md support
• Shell commands support
• Browser use support
• Document generation support
• OpenAI provider support
• Anthropic provider support

Technical details

Install or run pensyve using npx. Check major7apps/pensyve for the latest setup command.

• Built for Rust
• Built for Node.js
• Built for Python
• Built for Go
• Install or run with npx
• Install or run with uvx/pip
• Install or run with git clone
• Install or run with remote URL

Requirements and access

Security and permissions

Review permissions before connecting any MCP server to an agent. Pay special attention to whether it can read local files, write data, call external services, or perform destructive actions.

When to use pensyve MCP Server

• Use it for connecting agents to external tools and data.
• Use it for integrations workflows.
• Use it for coding workflows.
• Use it for data workflows.
• Use it for cursor users.

Built with

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