Skip to main content
Glama
the-phase-space

tokenizer-mcp

by the-phase-space
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Local

Related Servers

Alternatives to tokenizer-mcp

No user-submitted related servers found.

    Related Servers

    • token-budget

      tachika710
      A
      license
      Not graded
      quality
      B
      maintenance
      MCP server for estimating LLM token consumption and costs from project documents, code, and materials. Provides 8 tools including project budget planning, token/cost estimation, GitHub repo analysis, and pricing refresh.
      MIT

    • toon-parse-mcp

      ankitpal181
      A
      license
      Not graded
      quality
      D
      maintenance
      An MCP server that helps AI agents reduce token usage by converting data to TOON format and stripping comments and unnecessary whitespace from code files.
      MIT

    • genpark-agent-session

      Alpha-Park
      F
      license
      Not graded
      quality
      B
      maintenance
      Enables autonomous agents to tokenize session context windows and compact dialogue history deterministically, exposing this capability to MCP-compatible clients like Claude Desktop and Cursor. Helps manage context length and reduce token usage in agent sessions through a zero-dependency Python MCP server.
      7
      -

    • File Tools MCP Server

      BumpyClock
      A
      license
      Not graded
      quality
      D
      maintenance
      An MCP server that provides file and directory tools for LLMs, including project structure analysis, file reading, and project context resources, with support for .gitignore patterns.
      MIT

    • codeweaver-mcp

      nobiehl
      A
      license
      Not graded
      quality
      C
      maintenance
      Token-efficient MCP server for multi-language project analysis (Java, TypeScript, JavaScript, Markdown, Python) with plugins, semantic search, and static analysis.
      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 6 tools

    Disambiguation5/5

    Each tool targets a distinct input (text, file, folder) or metric (tokens, lines, chars, KB), so there is no overlap. The count_tokens variants are clearly separated by scope.

    Naming Consistency5/5

    All tools follow the predictable count_<metric>_<target> pattern, with count_tokens as the base form. Naming is uniform and easy to infer.

    Tool Count5/5

    Six tools is well-scoped for a tokenizer server: three for token counting across input types and three for basic file size/line/character metrics. Every tool earns its place.

    Completeness5/5

    The surface covers token counting for text, files, and folders, plus file-level character, line, and byte-size metrics. No obvious gaps exist for the stated purpose.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues

    Resources