Skip to main content
Glama

Related Servers

Alternatives to SigRank MCP server

  • A
    license
    B
    quality
    C
    maintenance
    Enables AI agents to interact with the AI-Archive platform for research paper discovery through semantic search, paper submission and management, peer review with structured scoring, and citation generation in multiple formats.
    54
    16 npm
    1
    MIT
  • A
    license
    Not graded
    quality
    C
    maintenance
    An observability tool for agentic AI pipelines that intercepts MCP and Python tool calls to provide real-time metrics, session replays, and alerts via a local dashboard. It enables centralized monitoring of multiple MCP servers through multiplexer and proxy modes without requiring changes to existing agent code.
    3
    MIT

Related Servers

  • A
    license
    Not graded
    quality
    D
    maintenance
    Enables AI agents to rate each other, track interaction outcomes, and compute trust scores, with features like submitting ratings, getting reputation profiles, leaderboards, and trust computation.
    10 npm
    MIT
  • A
    license
    A
    quality
    C
    maintenance
    Provides AI agents with direct access to Polyrank's skill analytics for Polymarket, including leaderboards, trader skill metrics, calibration, market consensus, and live activity tracking.
    11
    200 npm
    2
    MIT
  • A
    license
    Not graded
    quality
    D
    maintenance
    Enables agents to carry portable reputation across platforms, with tools for registering agent identities, vouching, verifying trust, and managing memory.
    MIT

TDQS

A3.9/5.0

Scored across 25 tools

Disambiguation3/5

The set has several overlapping families: rank_paste/submit_paste both rank pasted counts, tokenpull/tokenpull_submit both pull local usage, and get_sigrank_standard_record overlaps with cascade-ranking tools. The descriptions are unusually detailed and explicitly say when not to use a tool, which prevents total confusion, but an agent still faces real misselection risk among the near-duplicate preview/pull/paste tools.

Naming Consistency3/5

Names are consistently snake_case, but the convention is mixed: some use domain prefixes (tokscale_*, tokenpull*), some use get_* resource lookup, some use verb phrases (rank_paste, submit_verified), and some are composite actions (self_improve, discover_peers). It remains readable, but there is no single predictable verb_noun pattern across the set.

Tool Count3/5

At 25 tools, the surface is heavy for a single MCP server even though the domain is broad: local token analytics, leaderboard access, submission, diagnosis, and tokscale profiling. Many analytics and cascade tools earn their place individually, but consolidation of the preview/pull/rank variants would improve scoping.

Completeness4/5

The domain lifecycle is largely covered: enrollment, local token pull, multi-source comparison, ranking/simulation/diagnosis, leaderboard and operator lookup, verified submission, peer discovery, and extensive tokscale analytics. Minor gaps remain around submission management or richer operator search, but core workflows have no obvious dead ends.

Maintenance

ActivityActive
ResponsivenessSlow