Skip to main content
Glama
es11225599

system-one-mcp

by es11225599
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Local

Related Servers

Alternatives to system-one-mcp

No user-submitted related servers found.

    Related Servers

    • Decision Bridge

      poacosta
      A
      license
      Not graded
      quality
      B
      maintenance
      Enables any stdio MCP client to send evidence and allowed answers to a locally running Nimble model through Ollama and receive typed, validated results as choices, probabilities, or rubric scores. Supports three question types and includes diagnostics that check configuration, endpoint, and model availability without running inference.
      2
      MIT

    • McpHub

      John0King
      A
      license
      Not graded
      quality
      A
      maintenance
      Enables AI tools to uniformly discover, inspect, and call tools, prompts, and resources from multiple upstream MCP servers through a small set of fixed MCP tools, over stdio or HTTP.
      2
      MIT

    • jevcore-mcp

      linakuznetsov47
      A
      license
      Not graded
      quality
      A
      maintenance
      Exposes three stdio tools that answer typed questions — yes/no, choice, and score — with calibrated probabilities instead of prose, letting any MCP host query a judgment model without a chat interface. Runs fully offline on a synthetic mock by default, with named, per-feature egress disclosure and redaction only when a live provider is explicitly configured.
      69 npm
      Apache 2.0

    • jevcore-mcp

      imartinez53430
      A
      license
      Not graded
      quality
      A
      maintenance
      Exposes three stdio tools that let an MCP host pose typed judgments — yes/no, choice, and score — and receive calibrated probabilities rather than prose, running offline against a mock unless a credential and live provider are explicitly configured, with every outbound transmission reported on stderr.
      69 npm
      Apache 2.0

    • jevcore-mcp

      kaya734
      A
      license
      Not graded
      quality
      A
      maintenance
      Serves three judgment tools over MCP stdio that return typed answers — yes/no, choice, and score — with calibrated probabilities instead of prose. It runs fully offline by default, requiring an explicit live provider and credential before any state leaves the host.
      69 npm
      Apache 2.0

    • MCP Inspector as MCP Server

      esinecan
      A
      license
      A
      quality
      B
      maintenance
      Enables LLMs to inspect and test other MCP servers by listing and calling their tools, reading resources, and getting prompts. Supports stdio, SSE, and HTTP transports for both local and remote MCP server inspection.
      7
      4 npm
      1
      MIT
    Deploy Server
    Shareable, User-Owned Context BackendPeople, applications, and agents read, write, and coordinate together in one context lake. Reach it over MCP, a CLI, a Python SDK, or REST.fulcradynamics.comAd

    TDQS

    B3.2/5.0

    Scored across 2 tools

    Disambiguation5/5

    The two tools serve clearly distinct purposes: one enumerates available models and the other runs an evaluation with a chosen model. There is no overlap in resource or action, so an agent cannot realistically confuse them.

    Naming Consistency4/5

    Both names share the 'systemone_' snake_case prefix, which is predictable and readable. The minor deviation is that 'evaluate' is a bare verb without a noun object unlike 'list_models', but the set still feels coherent.

    Tool Count3/5

    Two tools is thin even for a narrow evaluation-model domain; there is no separate model-detail, configuration, or result-retrieval tool. It is borderline rather than mismatched, since the core discover-then-evaluate flow is present.

    Completeness3/5

    The surface covers the minimal loop of listing models and evaluating a question, but lacks supporting operations such as fetching model metadata, setting backend configuration, or retrieving/batching prior evaluations. Agents can work around this only by relying on external configuration.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources