Skip to main content
Glama
willianpinho

Large File MCP Server

by willianpinho
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Local

Related Servers

Alternatives to Large File MCP Server

No user-submitted related servers found.

    Related Servers

    • datamining-skill

      coreworkstr-art
      A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI assistants to inspect and extract data from local CSV, TSV, JSONL and log files far larger than available RAM, using bounded memory, crash-resilient resumable runs, and streamed progress. All file access is confined to user-approved directories, keeping the data private to the machine.
      1
      MIT

    • Excel Analyser MCP

      contactakagrawal
      A
      license
      Not graded
      quality
      D
      maintenance
      Enables efficient reading, analyzing, and querying of Excel, CSV, and JSON files with support for chunked processing, column/field filtering, and streaming for large datasets. Supports multiple transport protocols (stdio, HTTP, SSE) for flexible integration.
      6 npm
      4
      ISC

    • diffchunk

      peteretelej
      A
      license
      A
      quality
      B
      maintenance
      Enables LLMs to efficiently navigate and analyze large diff files by providing pattern-based chunk navigation, allowing direct access to relevant changes without loading entire diffs into context.
      5
      8
      MIT

    • MCP Smart Filesystem Server

      lofcz
      A
      license
      A
      quality
      D
      maintenance
      Provides LLM-optimized filesystem access with intelligent file pagination for large files, lightning-fast ripgrep-powered code search with regex support, and security sandboxing to safely explore and search codebases.
      7
      6 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

    A3.7/5.0

    Scored across 6 tools

    Disambiguation4/5

    Most tools have clearly distinct purposes (navigate, search, stream, read chunk). However, get_file_structure and get_file_summary both provide file statistics, creating slight ambiguity about which to use for metadata needs.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern with snake_case (e.g., get_file_structure, navigate_to_line). The naming is predictable and clear across all six tools.

    Tool Count5/5

    Six tools cover the core capabilities for reading and analyzing large files (structure, summary, navigation, chunking, searching, streaming). The count is well-scoped for the domain.

    Completeness5/5

    The tool set provides comprehensive read-only operations: structural metadata, statistical summary, targeted line access, chunked reading, pattern searching, and streaming. No obvious gaps for the declared purpose.

    Maintenance

    ActivityStale
    ResponsivenessNo issues

    Resources