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127,308 tools. Last updated 2026-05-05 13:48

"Information about the Telnet Protocol or Tool" matching MCP tools:

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    Security-enforcing MCP proxy that sits between an AI agent and any number of downstream MCP servers, intercepting every tool call through a capability-token policy gateway that can allow, deny, or escalate to human approval before the call reaches any real tool. It also exposes built-in operator tools for approval workflows, audit trail queries, token management, voice/HUD output, and hierarchical
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Matching MCP Connectors

  • Zero-value tracer token system that tracks AI agent activity across the internet. Agents earn tokens by submitting threat intelligence traces, with free trust verification (verify_trust) and paid threat intelligence feeds. 8 tools: submit_trace, check_token_balance, mutate_token, get_trace_schema, verify_trust (free) + threat_intelligence_feed, bulk_verify_trust, query_trace_analytics (paid).

  • the-committee MCP — wraps StupidAPIs (requires X-API-Key)

  • Retrieve detailed information about a Solana token, NFT, or compressed NFT using its mint ID. Input the asset ID and optionally specify the network to get comprehensive asset data.
    MIT
  • Retrieve schema and information about a Redis search index, including fields and attributes, to support troubleshooting and optimization.
    MIT
  • Retrieve general information about the connected Firebird database, including version, database name, and configuration details, to assess database properties.
    MIT
  • Retrieve detailed information about a specific service by providing its name, ID, or prefix to access service configuration and status within the ZenML platform.
    MIT
  • Retrieve detailed information about a specific stack component in ZenML by providing its name, ID, or prefix to access configuration and usage data.
    MIT
  • Retrieve detailed information about a specific ZenML project by name, ID, or prefix. Use this tool to access project data and configuration details for pipeline management.
    MIT
  • Retrieve detailed information about a specific project in the JFrog platform by providing the unique project key for streamlined project management and analysis.
    Apache 2.0
  • Retrieve detailed information about personas, skills, templates, agents, memories, or ensembles from the DollhouseMCP server to manage AI behavioral elements.