Skip to main content
Glama
swaranshu-borgaonkar

tbcontracts-mcp

by swaranshu-borgaonkar
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Local

Related Servers

Alternatives to tbcontracts-mcp

No user-submitted related servers found.

    Related Servers

    • TOMAPE

      sudharsanbabu83
      F
      license
      Not graded
      quality
      C
      maintenance
      Token-optimized multi-agent orchestration MCP server that owns session state, compacts context between agent hops, routes work to smaller models when safe, and reports estimated token savings.
      1
      -

    • agent-budget

      nyx-builds
      A
      license
      Not graded
      quality
      C
      maintenance
      Budget management and cost tracking MCP server for autonomous agents, enabling budget creation, cost recording, spending projections, and alert rules.
      MIT

    • code-context-gate

      wisdomrock
      A
      license
      A
      quality
      B
      maintenance
      An MCP server that acts as a context-aware code retrieval broker for AI coding agents, enforcing backpressure and token budgeting to prevent context window overflow.
      4
      43 npm
      MIT

    • clair

      concensure
      F
      license
      Not graded
      quality
      D
      maintenance
      An MCP server that reduces token usage by lazily loading skills and tools only when needed, and routing repetitive subtasks to ML backends instead of the LLM.
      -

    • spiderswitch

      hiddenpath
      A
      license
      Not graded
      quality
      B
      maintenance
      MCP server that enables agents to dynamically switch between multiple AI models (OpenAI, Anthropic, Google, etc.) with unified protocol-driven configuration and capability discovery.
      Apache 2.0

    • freellmpool

      0xzr
      A
      license
      Not graded
      quality
      A
      maintenance
      MCP server that pools free tiers of multiple LLM providers behind an OpenAI-compatible endpoint, enabling model routing, failover, and usage tracking through tools like tokenmax, capacity, and benchmark.
      114
      MIT
    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A4.4/5.0

    Scored across 5 tools

    Disambiguation5/5

    Each tool maps to a distinct action: registration, spend recording, single-agent read, system-wide read, and reallocation. Although record_spend can trigger reallocation as a side effect, the descriptions clearly separate that automatic behavior from the explicit request_reallocation decision tool.

    Naming Consistency5/5

    All tool names follow a consistent snake_case verb_noun pattern: register_agent, record_spend, get_remaining_budget, get_budget_snapshot, request_reallocation. The verb and noun choices are predictable and match each tool's purpose.

    Tool Count5/5

    Five tools is well-scoped for a narrow budget-management domain. Each tool earns its place, covering registration, spending, inspection, and reallocation without redundancy or bloat.

    Completeness4/5

    The core lifecycle is covered: register agents, record spend, inspect individual and global state, and manually reallocate budget. Minor gaps include no explicit unregister/agent removal or direct priority adjustment without re-registering/resetting, but these are workable limitations rather than blocking dead ends.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues

    Resources