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472,946 tools. Updated 2026-08-24 05:38

"A tool or method for searching a codebase and providing relevant context" matching MCP tools:

  • Measures the fraction of retrieved RAG context chunks that are relevant to the question, providing a precision score to diagnose retriever noise and quality.
    Apache 2.0
  • Execute multi-step AI workflows with reduced context usage by keeping intermediate results in the workflow engine, supporting multiple model calls and tool integrations.
    MIT
  • Discover available API toolsets with descriptions, tool counts, and examples to identify relevant tools before searching.
    MIT
  • Ask programming questions and get explanations from Kimi's model without codebase context. Use for algorithms, code reviews, or general coding advice.
    MIT
  • Create a method in a file with optional visibility, static, async, return type, parameters, and body. Includes context fields for summary, rationale, and references.
    MIT

Matching MCP Servers

  • F
    license
    Not graded
    quality
    C
    maintenance
    Local MCP server for A-share stock trading via Tonghuashun, offering account/position queries, buy/sell/cancel orders with risk controls and forced user confirmation; currently simulated with a reserved interface for real broker channels.

Matching MCP Connectors

  • Manage your Canvas coursework with quick access to courses, assignments, and grades. Track upcomin…

  • 连板网A股复盘数据: 连板天梯/题材/情绪周期/龙虎榜游资/个股涨停史 (A-share daily review, free read-only)

  • Search a codebase by concept, symbol, or file path to find relevant code files, symbols, and documentation pages. Use hybrid retrieval to return ranked results for later context retrieval.
    AGPL 3.0
  • Delegate thinking, planning, and real-time web or Twitter/X search tasks to Grok by providing relevant context, files, and prompts for accurate responses.
    MIT
  • Doubt every decision in a plan, resolve with real evidence from codebase or web, and flag remaining doubts for human review until the plan has no load-bearing doubts.
    MIT
  • Generates suggestions for improving your app (UX, performance, retention) and your idea (positioning, monetization) by analyzing project context or codebase.
    MIT
  • Search the Jambavan index for code symbols and snippets relevant to a query. Returns a ranked, token-budgeted context block of matching functions, classes, and types to inject into prompts.
    MIT
  • Search a codebase using natural language queries. Returns relevant file paths with line ranges and suggested grep keywords for follow-up searches.
    MIT
  • Search your indexed codebase to find relevant code patterns, usage examples, and architectural context. Supports intents for edit, refactor, or migrate with preflight readiness checks.
    Elastic 2.0
  • Get a compact architecture summary of modules, routes, domain entities, hotspots, and visibility scores to identify where components live before digging into the codebase.
    MIT
  • Find where a symbol is defined in your codebase, retrieving its file path, line number, and surrounding context.
    MIT
  • Search a codebase using natural language, returning relevant file paths, line ranges, and suggested grep keywords for follow-up queries.
    MIT
  • Search an indexed codebase with natural language queries to retrieve relevant code chunks that match your intent.
    AGPL 3.0