Skip to main content
Glama
transparentlyok

MCP Context Manager

by transparentlyok
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Local

Related Servers

Alternatives to MCP Context Manager

No user-submitted related servers found.

    Related Servers

    • CodeSense MCP

      attaelahi
      A
      license
      Not graded
      quality
      D
      maintenance
      Provides semantic code intelligence to help users search, navigate, and analyze entire codebases using plain English. It enables Claude to perform architectural overviews, bug detection, and refactor suggestions through local semantic search and keyword indexing.
      MIT

    • MCP Indexer

      gkatechis
      A
      license
      Not graded
      quality
      D
      maintenance
      Enables semantic code search across multiple repositories using natural language queries. Provides intelligent code discovery, symbol lookups, and cross-repo dependency analysis for AI coding agents.
      MIT

    • Omniscience

      FreakyLetsFail
      A
      license
      A
      quality
      D
      maintenance
      Enables LLMs to efficiently navigate large codebases by providing surgical access to specific code symbols via semantic search and call-graph queries.
      6
      MIT

    • PureContext MCP

      goranocokoljic
      A
      license
      Not graded
      quality
      B
      maintenance
      Indexes codebases and lets AI agents retrieve precise code snippets (functions, classes, routes) instead of reading entire files, reducing token usage and improving accuracy.
      166 npm
      7
      MIT

    • lens

      tools-for-agents
      A
      license
      Not graded
      quality
      B
      maintenance
      Provides token-efficient code retrieval for coding agents by indexing repositories and enabling ranked snippet search, symbol outlines, and surgical line reads.
      MIT

    • code-rag-mcp

      qduc
      A
      license
      A
      quality
      D
      maintenance
      Enables semantic search over codebases using natural language queries, returning relevant code snippets with source locations. Integrates with Claude Code for automatic codebase exploration.
      1
      1
      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

    A4/5.0

    Scored across 12 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose with no overlap: clear_cache manages indexing, index_repository builds the index, find_symbol and search_code handle different types of searches, get_class/get_function/get_file_summary provide targeted code extraction, get_dependencies analyzes imports, get_repository_structure shows layout, get_relevant_context answers natural language queries, and get_usage_stats tracks metrics. The descriptions explicitly differentiate tools (e.g., 'PREFERRED OVER Read' vs. 'PREFERRED OVER Grep'), eliminating ambiguity.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern with snake_case: clear_cache, find_similar, find_symbol, get_class, get_dependencies, get_file_summary, get_function, get_relevant_context, get_repository_structure, get_usage_stats, index_repository, and search_code. The naming is predictable and uniform throughout the set, making it easy for agents to understand and use.

    Tool Count5/5

    With 12 tools, the count is well-scoped for a context manager focused on code analysis and repository navigation. Each tool serves a specific, necessary function in the workflow (e.g., indexing, searching, extracting code, analyzing dependencies, tracking usage), and none appear redundant or excessive. This aligns with typical server scopes of 3-15 tools, providing comprehensive coverage without bloat.

    Completeness5/5

    The tool set offers complete coverage for the domain of code context management: it includes setup (index_repository, clear_cache), navigation (get_repository_structure), targeted code access (get_class, get_function, get_file_summary), search capabilities (find_symbol, search_code, find_similar), dependency analysis (get_dependencies), contextual queries (get_relevant_context), and monitoring (get_usage_stats). There are no obvious gaps; agents can perform a full lifecycle from indexing to detailed code analysis and optimization.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources