M
MCP Directory CURATED DIRECTORY
911 MCP servers indexed
中文
← Back to directory
COMPARE UP TO 4 SERVERS

Compare MCP servers

Compare scores, permissions, risks, and fit in one decision-focused table.

DimensionMindwtr MCP ServerLet AI assistants read and manage your local Mindwtr GTD tasks.DuckDuckGo Search MCP ServerMCP server providing web search and content fetching via DuckDuckGo
FMRS57 / 100 · C74 / 100 · B
Reliability8 / 2011 / 20
Security and permissions10 / 2015 / 20
Maintenance16 / 2017 / 20
Documentation11 / 2017 / 20
Setup experience12 / 2014 / 20
Best for
  • Existing Mindwtr users who want AI assistance with task capture and processing
  • Developers or power users comfortable configuring a local stdio MCP server
  • Self-hosters running a Mindwtr Cloud instance who need read-only querying
  • Developers needing quick, API-key-free web search capabilities
  • Privacy-conscious users who prefer local search execution
  • AI application development with Claude Desktop or Claude Code
Not for
  • Users without Mindwtr installed or without a local SQLite database
  • Teams needing multi-user collaborative writes via Cloud (Cloud mode is read-only)
  • Non-technical users unfamiliar with npm package installs and environment variables
  • Enterprise applications requiring high-scale, reliable search APIs
  • Users needing advanced search features like custom ranking or filters
  • Accessing sites blocked by TLS fingerprinting without installing the optional browser backend
Required permissions
  • Read/write access to the local Mindwtr SQLite database file (path set via MINDWTR_DB_PATH)
  • Network access to a self-hosted Mindwtr Cloud URL when Cloud mode is configured (read-only)
  • A bearer token credential for Cloud API access
  • Outbound network access to DuckDuckGo and other websites
  • Reads environment variables for SafeSearch, region, and CA certificates
  • Optionally reads a CA certificate file (for TLS-intercepting proxies)
Risks and side effects
  • The server has write access to the local database, so erroneous AI-issued changes could corrupt or pollute local task data
  • Storing the Cloud bearer token insecurely in environment variables risks credential exposure
  • Task and project data is exposed to whichever AI model is connected, with no additional sandboxing on scope
  • Search endpoints may occasionally return empty results or errors, especially when blocked
  • Content fetching may be subject to SSRF protection, blocking private or loopback addresses by default
  • Misuse could lead to rate limiting or IP blocking
Supported clientsClaude DesktopClaude Desktop, Claude Code
Tools02